From 0299c53726e53a3cb9b8f3c434a16c3c86f04719 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Wed, 8 May 2024 19:47:19 +0000 Subject: [PATCH] Add changes for e2cdc94dcb85895bc1625d7d3d897501406598a2 --- _images/notebooks_Beta_10_1.png | Bin 13306 -> 12474 bytes _images/notebooks_Cauchy_10_1.png | Bin 14935 -> 14525 bytes _images/notebooks_Cosine_Prior_10_1.png | Bin 15137 -> 14307 bytes _images/notebooks_Exponential_10_1.png | Bin 15081 -> 12016 bytes _images/notebooks_Gamma_10_1.png | Bin 15879 -> 15901 bytes _images/notebooks_Gaussian_10_1.png | Bin 13450 -> 12792 bytes _images/notebooks_Log_normal_10_1.png | Bin 13686 -> 15949 bytes _images/notebooks_Log_uniform_prior_10_1.png | Bin 12728 -> 12182 bytes _images/notebooks_Powerlaw_Prior_10_1.png | Bin 13125 -> 13109 bytes ...books_Priors_for_Bayesian_analysis_8_1.png | Bin 16292 -> 16208 bytes ...books_Priors_for_Bayesian_analysis_9_1.png | Bin 22285 -> 22046 bytes _images/notebooks_Truncated_gaussian_10_1.png | Bin 16013 -> 15974 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"id": "a268f9c9", + "id": "ecc977b6", "metadata": {}, "source": [ "# Additional features for scripts and applications\n", @@ -15,25 +15,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "4c528336", + "id": "228d80aa", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:22.998848Z", - "iopub.status.busy": "2024-05-08T19:19:22.998245Z", - "iopub.status.idle": "2024-05-08T19:19:24.941300Z", - "shell.execute_reply": "2024-05-08T19:19:24.940717Z" + "iopub.execute_input": "2024-05-08T19:28:54.319643Z", + "iopub.status.busy": "2024-05-08T19:28:54.319037Z", + "iopub.status.idle": "2024-05-08T19:28:57.108101Z", + "shell.execute_reply": "2024-05-08T19:28:57.107217Z" } }, "outputs": [ { "data": { "text/html": [ - "

19:19:24 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48\n",
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        "                  available                                                                                        \n",
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Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=759603;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=591980;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -63,13 +63,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "9ea82596", + "id": "11bd80c1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.943802Z", - "iopub.status.busy": "2024-05-08T19:19:24.943532Z", - "iopub.status.idle": "2024-05-08T19:19:24.962956Z", - "shell.execute_reply": "2024-05-08T19:19:24.962541Z" + "iopub.execute_input": "2024-05-08T19:28:57.112368Z", + "iopub.status.busy": "2024-05-08T19:28:57.111788Z", + "iopub.status.idle": "2024-05-08T19:28:57.135531Z", + "shell.execute_reply": "2024-05-08T19:28:57.134715Z" } }, "outputs": [], @@ -79,7 +79,7 @@ }, { "cell_type": "markdown", - "id": "dd7c38ac", + "id": "946d7ec6", "metadata": {}, "source": [ "## Get dictionaries of point and extended sources\n", @@ -90,13 +90,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "a9613893", + "id": "6e6b4de7", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.965012Z", - "iopub.status.busy": "2024-05-08T19:19:24.964906Z", - "iopub.status.idle": "2024-05-08T19:19:24.967369Z", - "shell.execute_reply": "2024-05-08T19:19:24.966924Z" + "iopub.execute_input": "2024-05-08T19:28:57.139086Z", + "iopub.status.busy": "2024-05-08T19:28:57.138808Z", + "iopub.status.idle": "2024-05-08T19:28:57.143004Z", + "shell.execute_reply": "2024-05-08T19:28:57.142022Z" } }, "outputs": [ @@ -122,7 +122,7 @@ }, { "cell_type": "markdown", - "id": "e16eb0a0", + "id": "66abe2d0", "metadata": {}, "source": [ "You can use these dictionaries as usual. For example, you can loop over all point sources and print their position:" @@ -131,13 +131,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "a928bf4e", + "id": "bb3b1051", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.969471Z", - "iopub.status.busy": "2024-05-08T19:19:24.969336Z", - "iopub.status.idle": "2024-05-08T19:19:24.977326Z", - "shell.execute_reply": "2024-05-08T19:19:24.976887Z" + "iopub.execute_input": "2024-05-08T19:28:57.146604Z", + "iopub.status.busy": "2024-05-08T19:28:57.146340Z", + "iopub.status.idle": "2024-05-08T19:28:57.150570Z", + "shell.execute_reply": "2024-05-08T19:28:57.149099Z" } }, "outputs": [ @@ -158,7 +158,7 @@ }, { "cell_type": "markdown", - "id": "146ff749", + "id": "edf318a0", "metadata": {}, "source": [ "## Accessing components and spectral shapes with no previous information\n", @@ -169,13 +169,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "f87270a3", + "id": "af356c13", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.979216Z", - "iopub.status.busy": "2024-05-08T19:19:24.979116Z", - "iopub.status.idle": "2024-05-08T19:19:24.985336Z", - "shell.execute_reply": "2024-05-08T19:19:24.984935Z" + "iopub.execute_input": "2024-05-08T19:28:57.154350Z", + "iopub.status.busy": "2024-05-08T19:28:57.154098Z", + "iopub.status.idle": "2024-05-08T19:28:57.157475Z", + "shell.execute_reply": "2024-05-08T19:28:57.156617Z" } }, "outputs": [ @@ -194,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "516b2438", + "id": "205f3579", "metadata": {}, "source": [ "So now we can loop over all the sources and print their components:" @@ -203,13 +203,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "8ce3aa91", + "id": "884a2a5e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.987218Z", - "iopub.status.busy": "2024-05-08T19:19:24.987123Z", - "iopub.status.idle": "2024-05-08T19:19:24.989262Z", - "shell.execute_reply": "2024-05-08T19:19:24.988890Z" + "iopub.execute_input": "2024-05-08T19:28:57.161747Z", + "iopub.status.busy": "2024-05-08T19:28:57.161502Z", + "iopub.status.idle": "2024-05-08T19:28:57.165683Z", + "shell.execute_reply": "2024-05-08T19:28:57.164431Z" } }, "outputs": [ @@ -230,7 +230,7 @@ }, { "cell_type": "markdown", - "id": "88f10a4f", + "id": "4fc95a6b", "metadata": {}, "source": [ "With a fully-qualified path, you would need to know the name of the function to access its parameters. Instead, you can use the generic name “shape”. For example these two statements point to the same function instance:" @@ -239,13 +239,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "07c38242", + "id": "965fafb4", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.991113Z", - "iopub.status.busy": "2024-05-08T19:19:24.991015Z", - "iopub.status.idle": "2024-05-08T19:19:24.999983Z", - "shell.execute_reply": "2024-05-08T19:19:24.999591Z" + "iopub.execute_input": "2024-05-08T19:28:57.169223Z", + "iopub.status.busy": "2024-05-08T19:28:57.168974Z", + "iopub.status.idle": "2024-05-08T19:28:57.173581Z", + "shell.execute_reply": "2024-05-08T19:28:57.172672Z" } }, "outputs": [ @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "2db7f2a8", + "id": "8f0ef524", "metadata": {}, "source": [ "Once you have a function instance, you can obtain a dictionary of its parameters as:" @@ -275,13 +275,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "23ec2ba7", + "id": "8ebc55cf", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:25.001988Z", - "iopub.status.busy": "2024-05-08T19:19:25.001891Z", - "iopub.status.idle": "2024-05-08T19:19:25.004136Z", - "shell.execute_reply": "2024-05-08T19:19:25.003741Z" + "iopub.execute_input": "2024-05-08T19:28:57.177081Z", + "iopub.status.busy": "2024-05-08T19:28:57.176816Z", + "iopub.status.idle": "2024-05-08T19:28:57.179931Z", + "shell.execute_reply": "2024-05-08T19:28:57.179330Z" } }, "outputs": [ @@ -300,7 +300,7 @@ }, { "cell_type": "markdown", - "id": "0cf56c78", + "id": "060194f2", "metadata": {}, "source": [ "Putting it all together, let’s loop over all sources in our model, then over each component in each source, then over each parameter in each component:" @@ -309,13 +309,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "56244375", + "id": "2148e2f4", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:25.006002Z", - "iopub.status.busy": "2024-05-08T19:19:25.005904Z", - "iopub.status.idle": "2024-05-08T19:19:25.008548Z", - "shell.execute_reply": "2024-05-08T19:19:25.008152Z" + "iopub.execute_input": "2024-05-08T19:28:57.184184Z", + "iopub.status.busy": "2024-05-08T19:28:57.183933Z", + "iopub.status.idle": "2024-05-08T19:28:57.188976Z", + "shell.execute_reply": "2024-05-08T19:28:57.187894Z" } }, "outputs": [ @@ -360,7 +360,7 @@ }, { "cell_type": "markdown", - "id": "d60ff25d", + "id": "b7f1b5ab", "metadata": {}, "source": [ "Let’s now plot the differential flux between 1 and 100 keV of all components from all sources:\n", @@ -370,13 +370,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "5070b350", + "id": "156d6a17", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:25.010562Z", - "iopub.status.busy": "2024-05-08T19:19:25.010436Z", - "iopub.status.idle": "2024-05-08T19:19:26.881699Z", - "shell.execute_reply": "2024-05-08T19:19:26.881260Z" + "iopub.execute_input": "2024-05-08T19:28:57.192992Z", + "iopub.status.busy": "2024-05-08T19:28:57.192731Z", + "iopub.status.idle": "2024-05-08T19:28:59.611131Z", + "shell.execute_reply": "2024-05-08T19:28:59.610542Z" } }, "outputs": [ @@ -438,7 +438,7 @@ }, { "cell_type": "markdown", - "id": "2343b170", + "id": "8c691b3f", "metadata": {}, "source": [ "## Getting the path of an element and using it programmatically\n", @@ -449,13 +449,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "d5758ef4", + "id": "f2d857bd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.883847Z", - "iopub.status.busy": "2024-05-08T19:19:26.883679Z", - "iopub.status.idle": "2024-05-08T19:19:26.892377Z", - "shell.execute_reply": "2024-05-08T19:19:26.891985Z" + "iopub.execute_input": "2024-05-08T19:28:59.614548Z", + "iopub.status.busy": "2024-05-08T19:28:59.614237Z", + "iopub.status.idle": "2024-05-08T19:28:59.619327Z", + "shell.execute_reply": "2024-05-08T19:28:59.618593Z" } }, "outputs": [ @@ -487,7 +487,7 @@ }, { "cell_type": "markdown", - "id": "c84a8627", + "id": "f0c031a4", "metadata": {}, "source": [ "If you have a path of an element in a string, you can use it to access the element by using the [] operator of the Model class like this:" @@ -496,13 +496,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "6f54aad1", + "id": "63ce0c3a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.894315Z", - "iopub.status.busy": "2024-05-08T19:19:26.894212Z", - "iopub.status.idle": "2024-05-08T19:19:26.901823Z", - "shell.execute_reply": "2024-05-08T19:19:26.901460Z" + "iopub.execute_input": "2024-05-08T19:28:59.622701Z", + "iopub.status.busy": "2024-05-08T19:28:59.622370Z", + "iopub.status.idle": "2024-05-08T19:28:59.625791Z", + "shell.execute_reply": "2024-05-08T19:28:59.625030Z" } }, "outputs": [ @@ -525,7 +525,7 @@ }, { "cell_type": "markdown", - "id": "6b646cd2", + "id": "8e14906f", "metadata": {}, "source": [ "## Alternative way of accessing the information in the model\n", @@ -536,13 +536,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "e7e9db0b", + "id": "260802a0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.903895Z", - "iopub.status.busy": "2024-05-08T19:19:26.903796Z", - "iopub.status.idle": "2024-05-08T19:19:26.906497Z", - "shell.execute_reply": "2024-05-08T19:19:26.906142Z" + "iopub.execute_input": "2024-05-08T19:28:59.630208Z", + "iopub.status.busy": "2024-05-08T19:28:59.629861Z", + "iopub.status.idle": "2024-05-08T19:28:59.635582Z", + "shell.execute_reply": "2024-05-08T19:28:59.634573Z" } }, "outputs": [ @@ -577,7 +577,7 @@ }, { "cell_type": "markdown", - "id": "aea34a6f", + "id": "38af622e", "metadata": {}, "source": [ "Once you have the ID of a source, you can obtain information about it with these methods of the Model class:" @@ -586,13 +586,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "dd43cef4", + "id": "00867413", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.908455Z", - "iopub.status.busy": "2024-05-08T19:19:26.908323Z", - "iopub.status.idle": "2024-05-08T19:19:26.914774Z", - "shell.execute_reply": "2024-05-08T19:19:26.914348Z" + "iopub.execute_input": "2024-05-08T19:28:59.638719Z", + "iopub.status.busy": "2024-05-08T19:28:59.638504Z", + "iopub.status.idle": "2024-05-08T19:28:59.646997Z", + "shell.execute_reply": "2024-05-08T19:28:59.646332Z" } }, "outputs": [], @@ -613,7 +613,7 @@ }, { "cell_type": "markdown", - "id": "2c25eb9c", + "id": "d0ea61a3", "metadata": {}, "source": [ "Depending on your application you might find these methods more convenient that interrogating the sources directly. Note however that some features are not available through this interface. For example, it is not possible to get information about different components through these methods." @@ -622,7 +622,7 @@ { "cell_type": "code", "execution_count": null, - "id": "641e6c03", + "id": "7ac191d8", "metadata": {}, "outputs": [], "source": [] diff --git a/_sources/notebooks/Asymm_Gaussian_on_sphere.ipynb.txt b/_sources/notebooks/Asymm_Gaussian_on_sphere.ipynb.txt index bd484f92..c556f7ef 100644 --- a/_sources/notebooks/Asymm_Gaussian_on_sphere.ipynb.txt +++ b/_sources/notebooks/Asymm_Gaussian_on_sphere.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "ece25736", + "id": "21b6e43a", "metadata": { "papermill": { - "duration": 0.001355, - "end_time": "2024-05-08T19:22:16.358210", + "duration": 0.007728, + "end_time": "2024-05-08T19:32:18.375226", "exception": false, - "start_time": "2024-05-08T19:22:16.356855", + "start_time": "2024-05-08T19:32:18.367498", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "2a2ad62f", + "id": "9459e51b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:16.361277Z", - "iopub.status.busy": "2024-05-08T19:22:16.361075Z", - "iopub.status.idle": "2024-05-08T19:22:18.372686Z", - "shell.execute_reply": "2024-05-08T19:22:18.371627Z" + "iopub.execute_input": "2024-05-08T19:32:18.385924Z", + "iopub.status.busy": "2024-05-08T19:32:18.385184Z", + "iopub.status.idle": "2024-05-08T19:32:20.653254Z", + "shell.execute_reply": "2024-05-08T19:32:20.652402Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 2.016482, - "end_time": "2024-05-08T19:22:18.375801", + "duration": 2.276558, + "end_time": "2024-05-08T19:32:20.656405", "exception": false, - "start_time": "2024-05-08T19:22:16.359319", + "start_time": "2024-05-08T19:32:18.379847", "status": "completed" }, "tags": [] @@ -68,20 +68,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "76fa733e", + "id": "71c26489", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:18.381456Z", - "iopub.status.busy": "2024-05-08T19:22:18.380925Z", - "iopub.status.idle": "2024-05-08T19:22:18.385385Z", - "shell.execute_reply": "2024-05-08T19:22:18.383961Z" + "iopub.execute_input": "2024-05-08T19:32:20.661165Z", + "iopub.status.busy": "2024-05-08T19:32:20.660657Z", + "iopub.status.idle": "2024-05-08T19:32:20.664082Z", + "shell.execute_reply": "2024-05-08T19:32:20.663251Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.010464, - "end_time": "2024-05-08T19:22:18.388357", + "duration": 0.007934, + "end_time": "2024-05-08T19:32:20.666303", "exception": false, - "start_time": "2024-05-08T19:22:18.377893", + "start_time": "2024-05-08T19:32:20.658369", "status": "completed" }, "tags": [ @@ -96,19 +96,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "f9cd08d0", + "id": "ab85d161", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:18.393116Z", - "iopub.status.busy": "2024-05-08T19:22:18.392670Z", - "iopub.status.idle": "2024-05-08T19:22:18.403117Z", - "shell.execute_reply": "2024-05-08T19:22:18.401478Z" + "iopub.execute_input": "2024-05-08T19:32:20.669893Z", + "iopub.status.busy": "2024-05-08T19:32:20.669673Z", + "iopub.status.idle": "2024-05-08T19:32:20.672572Z", + "shell.execute_reply": "2024-05-08T19:32:20.671794Z" }, "papermill": { - "duration": 0.016685, - "end_time": "2024-05-08T19:22:18.406764", + "duration": 0.007147, + "end_time": "2024-05-08T19:32:20.674665", "exception": false, - "start_time": "2024-05-08T19:22:18.390079", + "start_time": "2024-05-08T19:32:20.667518", "status": "completed" }, "tags": [ @@ -124,21 +124,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "aae58d62", + "id": "5135cfa6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:18.412905Z", - "iopub.status.busy": "2024-05-08T19:22:18.412373Z", - "iopub.status.idle": "2024-05-08T19:22:18.427206Z", - "shell.execute_reply": "2024-05-08T19:22:18.425744Z" + "iopub.execute_input": "2024-05-08T19:32:20.677836Z", + "iopub.status.busy": "2024-05-08T19:32:20.677645Z", + "iopub.status.idle": "2024-05-08T19:32:20.690101Z", + "shell.execute_reply": "2024-05-08T19:32:20.689518Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.022021, - "end_time": "2024-05-08T19:22:18.431302", + "duration": 0.016467, + "end_time": "2024-05-08T19:32:20.692308", "exception": false, - "start_time": "2024-05-08T19:22:18.409281", + "start_time": "2024-05-08T19:32:20.675841", "status": "completed" }, "tags": [] @@ -155,14 +155,14 @@ }, { "cell_type": "markdown", - "id": "f5664e22", + "id": "9a799a1c", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001232, - "end_time": "2024-05-08T19:22:18.433777", + "duration": 0.001031, + "end_time": "2024-05-08T19:32:20.694578", "exception": false, - "start_time": "2024-05-08T19:22:18.432545", + "start_time": "2024-05-08T19:32:20.693547", "status": "completed" }, "tags": [] @@ -174,19 +174,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "60666a02", + "id": "72b0935d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:18.440361Z", - "iopub.status.busy": "2024-05-08T19:22:18.439844Z", - "iopub.status.idle": "2024-05-08T19:22:18.447872Z", - "shell.execute_reply": "2024-05-08T19:22:18.446623Z" + "iopub.execute_input": "2024-05-08T19:32:20.697553Z", + "iopub.status.busy": "2024-05-08T19:32:20.697337Z", + "iopub.status.idle": "2024-05-08T19:32:20.708825Z", + "shell.execute_reply": "2024-05-08T19:32:20.708208Z" }, "papermill": { - "duration": 0.016513, - "end_time": "2024-05-08T19:22:18.451724", + "duration": 0.015327, + "end_time": "2024-05-08T19:32:20.710829", "exception": false, - "start_time": "2024-05-08T19:22:18.435211", + "start_time": "2024-05-08T19:32:20.695502", "status": "completed" }, "tags": [] @@ -389,14 +389,14 @@ }, { "cell_type": "markdown", - "id": "c6e1bb4e", + "id": "24a348a0", "metadata": { "lines_to_next_cell": 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"2024-05-08T19:21:48.077191", + "start_time": "2024-05-08T19:31:44.319565", "status": "completed" }, "tags": [] @@ -623,8 +623,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 4.211193, - "end_time": "2024-05-08T19:21:48.848421", + "duration": 4.284645, + "end_time": "2024-05-08T19:31:45.230619", "environment_variables": {}, "exception": null, "input_path": "Band.ipynb", @@ -636,7 +636,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:44.637228", + "start_time": "2024-05-08T19:31:40.945974", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Band_Calderone.ipynb.txt b/_sources/notebooks/Band_Calderone.ipynb.txt index c7fca0a4..cba35899 100644 --- a/_sources/notebooks/Band_Calderone.ipynb.txt +++ b/_sources/notebooks/Band_Calderone.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "829ff695", + "id": "1ff8666a", "metadata": { "papermill": { - "duration": 0.008312, - "end_time": "2024-05-08T19:21:53.615981", + 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@@ -688,8 +688,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 4.602126, - "end_time": "2024-05-08T19:21:57.428780", + "duration": 4.753838, + "end_time": "2024-05-08T19:31:54.954473", "environment_variables": {}, "exception": null, "input_path": "Band_Calderone.ipynb", @@ -701,7 +701,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:52.826654", + "start_time": "2024-05-08T19:31:50.200635", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Band_grbm.ipynb.txt b/_sources/notebooks/Band_grbm.ipynb.txt index 17cd525d..8e3b9fa1 100644 --- a/_sources/notebooks/Band_grbm.ipynb.txt +++ b/_sources/notebooks/Band_grbm.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "e1ef439d", + "id": "bf3a9eae", "metadata": { "papermill": { - "duration": 0.008053, - "end_time": "2024-05-08T19:21:49.444691", + "duration": 0.004878, + "end_time": "2024-05-08T19:31:46.114769", "exception": false, - "start_time": 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"default_parameters": {}, - "duration": 3.951715, - "end_time": "2024-05-08T19:21:52.813690", + "duration": 4.937179, + "end_time": "2024-05-08T19:31:50.181326", "environment_variables": {}, "exception": null, "input_path": "Band_grbm.ipynb", @@ -633,7 +633,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:48.861975", + "start_time": "2024-05-08T19:31:45.244147", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Beta.ipynb.txt b/_sources/notebooks/Beta.ipynb.txt index cf51ddf0..9446d4b1 100644 --- a/_sources/notebooks/Beta.ipynb.txt +++ b/_sources/notebooks/Beta.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "32b86a2c", + "id": "d8248548", "metadata": { "papermill": { - "duration": 0.006653, - "end_time": "2024-05-08T19:22:54.639125", + "duration": 0.004087, + "end_time": "2024-05-08T19:33:01.219047", "exception": false, - "start_time": "2024-05-08T19:22:54.632472", + "start_time": "2024-05-08T19:33:01.214960", "status": 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", 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YAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgfrv6I5nn332Dj9pv379cvPNN+/UQAAAALx9Oxx7W7ZsSb9+/d50n7Vr1+b//u//3nI/AAAA3lk7HHuLFy/e7rbXXnstCxYsyHe+8528973vzcyZM3fJcAAAAOycHY697Xnqqacya9asPPvss5k0aVIuueSSvPe9790VswEAALCTdjr2Nm3alG984xu5/fbb09LSku9///sZP378rpwNAACAnbRTsXfPPfdk7ty5aW1tzTnnnJNp06aloaFhV88GAADATupV7K1ZsyZXXHFFHnzwwRx22GH57ne/m8MPP/ydmg0AAICdtMOxt3Dhwnzzm99MpVLJ9OnTc+6556auzp/pAwAAqEU7HHtf+cpX0q9fv7S0tOT+++/P/fffv919+/Xrl1tuuWWXDAgAAEDv7XDsjRkz5p2cAwAAgF1oh2Nv0aJF7+QcAAAA7ELedAcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFCgqsdea2trPv/5z2fMmDEZOXJkzjrrrDzzzDNJkkqlkuuuuy7jx4/P6NGjc9FFF2X9+vU9Hn/rrbfmxBNPzFFHHZVzzz03zz//fDUOAwAAoKZUPfamTZuWX/3qV/nWt76VW265JU1NTfm7v/u7tLe3Z8GCBVm8eHHmzJmTRYsWZfPmzZk6dWr3Y+++++5cc801mTZtWm6//fYMGTIkF1xwQTZv3lzFIwIAAKi+qsbe888/n8ceeyxz5szJ2LFjM3LkyHz1q1/Nyy+/nHvvvTcLFy7MxRdfnJNOOilHHHFE5syZkyeffDJPP/10kmTBggU566yzcuqpp2bEiBG54oorsmHDhjz44IPVPCwAAICqq2rsvfTSSxkyZEgOPfTQ7rWBAwdm7733zosvvpj169fn+OOP797W0tKSYcOGZdmyZdm0aVNWrFjRY3tDQ0NGjhyZZcuW9elxAAAA1Jr+1fzmxx57bP7rv/6rx9p//ud/ZuPGjTnkkENSV1eXoUOH9tg+ZMiQtLa25oUXXkhXV1f233//N9y+syZMmLDdbdOmTcvBBx+8088NAADQV6oae39o69atWbBgQb75zW/m5JNPTltbW+rr61NX1/PiY2NjY9ra2tLW1pbk91fz/nj724k9AACAEtRE7K1YsSIzZ87Mr371q5x//vmZNm1alixZko6OjnR1dfUIvo6OjjQ1NaWpqSlJ0t7e3uO5Ojs7u7ftjIcffni721auXNkdmQAAALWs6p/G+dOf/jSTJ09OY2Nj7rzzznzhC1/IXnvtlebm5lQqlaxdu7bH/mvXrk1LS0sGDx6cJFmzZk2P7WvWrElLS0ufzQ8AAFCLqhp7mzZtysyZM3PSSSfl1ltvzYgRI7q3jRgxIoMHD86SJUu611avXp1Vq1ZlwoQJec973pORI0f2uBK3adOmPPnkk2/6vjsAAIA9QVVv41y6dGna2try2c9+Ni+++GKPbfvss08mT56c+fPnp7m5OQ0NDbn66qszceLEHHjggUmSM888M1dccUWGDx+e/fbbL9dff30OOuigHHvssdU4HAAAgJpR1dhbtWpVtmzZkr/6q7/aZttFF12UqVOnpr29PdOnT8+WLVsyceLEzJ49u3ufU089NRs2bMi8efPy6quvZuzYsbnhhhu2+VAXAACAPU2/SqVSqfYQu4vXP6Bl4MCBPW45rbaJLyzcqcc9MOy8XTwJAADUrlJeN+9ol7gEBgAAUCCxBwAAUCCxBwAAUKCa+KPqAAAAO2Jn33e3J3JlDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoED9qz0A1TPxhYU7/dgHhp23CycBAAB2NVf2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACtS/2gMAAAB7lokvLKz2CHsEV/YAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAK1L/aA7B7mvjCwp1+7APDztuFkwAAAG/ElT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIAC9a/2AOx5Jr6wcKce98Cw83bxJAAA7Oxrs8Trs1rnyh4AAECBxB4AAECBxB4AAECBxB4AAECBfEALuw1vHgYAqC1v5/UZ7zxX9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAArUv9oDAAAAb8/EFxZWewRqkCt7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABaqZ2NuwYUMOO+ywbNiwoXuts7Mzl19+ecaOHZsxY8bk0ksvTVtbW/f2SqWS6667LuPHj8/o0aNz0UUXZf369dUYHwAAoKbUROz95je/ydy5c/Paa6/1WJ83b16WLl2a+fPn58Ybb8zKlStz2WWXdW9fsGBBFi9enDlz5mTRokXZvHlzpk6d2tfjAwAA1Jyq/529L33pS/nXf/3XbdY3btyYO+64I9/+9rczbty4JMkll1ySs88+O62trRk0aFAWLlyYiy++OCeddFKSZM6cOTnxxBPz9NNP58gjj+zT46BMb+dv1jww7LxdOAkAAPRO1a/sTZkyJXfddVeuuuqqHutPPPFEknSHXpKMGjUq/fv3z/Lly/Pcc89l/fr1Of7447u3t7S0ZNiwYVm2bFnfDA8AAFCjqn5lr6WlJS0tLdm4cWOP9VWrVqW5uTn19fXda/X19Rk0aFBaW1szYMCA1NXVZejQoT0eN2TIkLS2tu70PBMmTNjutmnTpuXggw/e6ecGAIA383buKoI/VvUre9vT1taWhoaGbdYbGxvT1taWtra21NfXp66u7g23AwAA7MmqfmVve5qamrJ58+Zt1js6OtLU1JSmpqZ0dHSkq6urR/C9vn1nPfzww9vdtnLlSiEJAADsFmr2yl5zc3PWrVuXzs7O7rWtW7dm3bp1GTp0aJqbm1OpVLJ27doej1u7dm1aWlr6elwAAICaUrNX9saOHZtKpZLHH388xx13XJLkscceS6VSyZgxY9LQ0JDBgwdnyZIlOf3005Mkq1evzqpVq970fXfsmapx/7tP8gQAoJpqNvaamppyyimn5Morr8ycOXPyu9/9LrNnz84ZZ5yRxsbGJMnkyZMzf/78NDc3p6GhIVdffXUmTpyYAw88sMrTAwAAVFfNxl6SzJo1K3Pnzs2UKVPSv3//TJo0KTNmzOjePmXKlLS3t2f69OnZsmVLJk6cmNmzZ1dvYAAAgBrRr1KpVKo9xO7i9Q9oGThwYEaMGFHtcbr5iN7yuI0TAPZMXtfVplp7bbajXVKzH9ACAADAzhN7AAAABRJ7AAAABRJ7AAAABRJ7AAAABarpP70A9I4/5A7AO21n/63x7wz0PbEHAAB/xC9QKYHbOAEAAAok9gAAAAok9gAAAAok9gAAAArkA1oAdpA36wMAuxNX9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAArkj6pDDXo7f7wbAAASsQcAALuUX9pSK9zGCQAAUCCxBwAAUCC3cQJJ3t4tJw8MO28XTgIAwK4g9gAAqGl+IQk7x22cAAAABXJlD9jjVONT0vxWGgDoa2IPAHYjO/uLA780ANjzuI0TAACgQK7sAW+bKw1ACdxu/c7yh8ah77myBwAAUCCxBwAAUCC3cQKwS7mtFwBqg9gDoCZ4vxQA7Fpu4wQAACiQ2AMAACiQ2zgBAPYw/gwC7BnEHkChvJgDgD2b2zgBAAAK5MoeAADFcpcDezKxB1SNj9qHvuP/N4A9j9s4AQAACuTKHgD0MbeVAdAXXNkDAAAokNgDAAAokNs4AWAnuBUTgFon9gDY7QkvANiW2zgBAAAK5MoeAMDbVI2ry/7+IfBWxB5AjXOLItXmD7ID7J7cxgkAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgn8YJANQcnwAK8Pa5sgcAAFAgsQcAAFAgt3ECAO+Yt3M75u70PQFqkdgDANgNiVrgrbiNEwAAoEBiDwAAoEBiDwAAoEDeswfslrxXBQDgzbmyBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUKDdPvY6Oztz+eWXZ+zYsRkzZkwuvfTStLW1VXssAACAqtrtY2/evHlZunRp5s+fnxtvvDErV67MZZddVu2xAAAAqqp/tQd4OzZu3Jg77rgj3/72tzNu3LgkySWXXJKzzz47ra2t2Xfffas8IQAAQHXs1lf2nnjiiSTpDr0kGTVqVPr375/ly5dXaywAAICq262v7K1atSrNzc2pr6/vXquvr8+gQYPS2tq6U885YcKE7W678sor09TUlPb29qxcuXKnnv+dMLXz/1V7BAAAKNbKTbXz2j9J2tvbkyQdHR1vut9uHXttbW1paGjYZr2xsfEd+ZCW16Oyq6urpj4E5s8ysNojAABAsdq21M5r/z/U1dX1ptt369hramrK5s2bt1nv6OhIU1PTTj3nww8/vN1tK1asSGdnZ+rq6jJgwICdev5d7emnn06SHHnkkVWehN2Z84hdxbnEruA8YldxLrEr1OJ51NHRka6urh53OL6R3Tr2mpubs27dunR2dnYf6NatW7Nu3boMHTp0l3+/ww8/fJc/59v12c9+NsmbRyq8FecRu4pziV3BecSu4lxiV9idz6Pd+gNaxo4dm0qlkscff7x77bHHHkulUsmYMWOqOBkAAEB17dax19TUlFNOOSVXXnllHnvssTz00EO59NJLc8YZZ6SxsbHa4wEAAFTNbn0bZ5LMmjUrc+fOzZQpU9K/f/9MmjQpM2bMqPZYAAAAVbXbx97ee++dq666KldddVW1RwEAAKgZu/VtnAAAALyxfpVKpVLtIQAAANi1XNkDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNircZ2dnbn88sszduzYjBkzJpdeemna2tq2u/+tt96aE088MUcddVTOPffcPP/88304LbWqN+fR1q1bc+211+aEE07IEUcckY9//OP58Y9/3McTU6t6+zPpdf/7v/+bUaNG5Sc/+UkfTEmt6+159MADD2TSpEk58sgj8+EPfzg//OEP+3BaallvzqVKpZKFCxfm5JNPztFHH51zzjknzz33XB9PTK3bsGFDDjvssGzYsGG7+1QqlVx33XUZP358Ro8enYsuuijr16/vwyl3nNircfPmzcvSpUszf/783HjjjVm5cmUuu+yyN9z37rvvzjXXXJNp06bl9ttvz5AhQ3LBBRdk8+bNfTw1taY359F3vvOd3HbbbZk5c2Z+8IMf5C/+4i/y+c9/PitWrOjjqalFvTmXXvfaa69l5syZfhbRrTfn0c9+9rNcfPHFmTRpUu6444584hOfyGWXXZZf/epXfTw1tag359K///u/51vf+lb+8R//MTfffHMaGxvz2c9+dod+YcWe4Te/+U3mzp2b11577U33W7BgQRYvXpw5c+Zk0aJF2bx5c6ZOndpHU/ZShZr129/+tnL44YdXHnzwwe61Rx99tDJixIjK+vXrt9n/tNNOq1xzzTXdX7e3t1dGjRpVufvuu/tkXmpTb8+j8ePHV773ve/1WPubv/mbyhe/+MV3fFZqW2/Ppdd973vfq3zmM5+pHHLIIX4e0evz6MILL6xMmzatx9oZZ5xRueWWW97pUalxvT2XPv3pT1euuuqq7q83bNhQGT58eOWhhx7qk3mpbbNmzaoccsgh3f+1tra+4X5dXV2V4447rnLrrbd2r7344ouVQw45pPLUU0/11bg7zJW9GvbEE08kScaNG9e9NmrUqPTv3z/Lly/vse+mTZuyYsWKHH/88d1rDQ0NGTlyZJYtW9Y3A1OTenMedXR05E/+5E8yatSoHuv77rtv1q1b984PS03rzbn0umeffTYLFizI3Llz+2RGal9vzqOtW7dm2bJl+cQnPtFjffHixTnzzDPf+WGpab39mbRx48Y0NjZ2fz1gwID069cvnZ2d7/yw1LwpU6bkrrvuylVXXfWm+z333HNZv359j9fcLS0tGTZsWE2+5hZ7NWzVqlVpbm5OfX1991p9fX0GDRqU1tbWHvu+8MIL6erqyv77799jfciQIdvsy56lN+fRgAED8tBDD2Xs2LHda7/+9a+zdOnSHHrooX02M7WpN+dS8vsX6jNnzszFF1+8zc8m9ly9OY9Wr16d9vb2vPLKK5k8eXLGjBmT0047LQ888EBfj00N6u3PpOOPPz533nlnfvGLX6SjoyPf+MY30tjYmDFjxvTl2NSolpaWHHrooTnggAPedL9Vq1alrq4uQ4cO7bFeq6+5xV4Na2trS0NDwzbrjY2N29xf/vrXf7z/G+3LnqU359Efu++++zJ58uQMGjQo559//js1IruJ3p5LN9xwQwYOHJhPf/rTfTEeu4nenEe//e1vkyTXXntt/vqv/zoLFizIcccdl7//+7/P448/3ifzUrt6+zPpc5/7XPbee++ccsopGTVqVBYtWpQLL7ww++yzT1+MSyHa2tpSX1+furqeGVWrr7n7V3sAtq+pqekNP9Cgo6MjTU1N2+ybJO3t7T3WOzs7t9mXPUtvzqPXbdiwIbNmzcp9992XE088MVdddVXe/e53v9OjUuN6cy4988wzufnmm3PnnXemX79+fTUiu4HenEddXV1Jkr/927/NaaedliQZOXJkli9fnrvuuivHHHPMOz8wNau3/75NnTo19fX1+d73vpf3ve99efDBB3Pttdfmz//8z3PiiSf2xcgUoKmpKR0dHenq6uoRfG/2uqqaxF4Na25uzrp169LZ2dl9i8LWrVuzbt26bS4dDx48OEmyZs2aDBs2rHt9zZo1Oeyww/puaGpOb86j5Pe3TX3mM59JV1dXvvWtb+Xkk0/u65GpUb05l5YvX55Nmzbl4x//eI/1L3zhC1mwYEHuuOOOPpub2tKb82jfffdNkhx88ME91t///vd7HzG9Opd+8Ytf5NFHH82tt97a/UuCI444Ij//+c/zwx/+UOyxw5qbm1OpVLJ27dq0tLR0r69duzYf/ehHqzjZG3MbZw0bO3ZsKpVKj1tVHnvssVQqlW3uL3/Pe96TkSNH5uGHH+5e27RpU5588slMmDChz2am9vTmPEqSL33pS9l7771z1113CT166M259Jd/+Zf50Y9+lLvuuqv7vySZPn16rr322r4cmxrTm/No//33z7777ptnnnmmx/ovf/nLbQKQPU9vzqXtfZR+fX19BgwY8I7OSVlGjBiRwYMHZ8mSJd1rq1evzqpVq2ryNbcrezWsqakpp5xySq688srMmTMnv/vd7zJ79uycccYZaWxsTGtrazZv3tz926szzzwzV1xxRYYPH5799tsv119/fQ466KAce+yxVT4Sqqk359GGDRvyyCOP5Morr8yrr76aV199tft5GhoaMmTIkCoeCdXWm3Npn332ecP3wTQ3N/e4+4A9T2/Oo7q6ulxwwQX59re/ncGDB+ewww7LT37yk/zyl7/M9ddfX+1Docp6cy6NGDEihxxySK644or80z/9U4YMGZJHHnkk999/f77//e9X+1CocS+99FKS338IS11dXSZPnpz58+enubk5DQ0NufrqqzNx4sQceOCBVZ50W/0qlUql2kOwfe3t7Zk7d27uvvvu9O/fP5MmTcqMGTOy1157ZebMmXn00Ud7fCrZv/zLv2ThwoV59dVXM3bs2MyZM8cLdHb4PHrqqady+umnv+FzfPCDH8yiRYv6eHJqTW9/Jv2h4cOH57rrrqvJ21zoW709j2666abcdNNNWb9+fUaMGJEZM2b4BEWS9O5cWr9+fa6//vo8+OCD2bhxYw4++OBMnTo1H/7wh6t8FNSS5cuX5+yzz84jjzySQYMGJUk+85nPJEn366DXXnst1157be64445s2bIlEydOzOzZs/Oud72ranNvj9gDAAAokPfsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAUAfWL58eYYPH56lS5dWexQA9hBiDwAAoEBiDwAAoEBiDwDewvnnn58xY8Zky5YtPdYvueSSHHPMMeno6Mi9996b008/PaNHj87YsWNz3nnn5fHHH9/uc86cOTMnnHBCj7UXXnghw4cPzx133NG91t7eni9/+cs54YQTMnLkyHzqU5/KAw88sGsPEIAiiT0AeAuTJk3Kxo0b8+ijj3avbdmyJffff38++tGP5plnnsnFF1+cAw44IPPmzcvMmTPz8ssv54ILLsgrr7yy09/3tddey4UXXpgf/vCHOf/88/O1r30tBxxwQD73uc/lxz/+8S44MgBK1r/aAwBArTv55JMze/bs3HvvvRk/fnyS5JFHHslvf/vbfPKTn8yzzz6bo48+Ol/72tfSr1+/JMmf/umf5txzz80vfvGLjB07dqe+7913353ly5fn9ttvz+jRo5MkH/nIR/Lyyy9n/vz5+fjHP75rDhCAIrmyBwBv4V3velcmTpyY++67L5VKJUlyzz33ZOjQoTnmmGPyqU99Krfeems2bdqUn//857nnnnuyePHiJL+/OrezHnrooQwZMiSHHHJI2trauv874YQT8utf/zqtra275PgAKJMrewCwA0455ZT8+Mc/zs9+9rMceeSRue+++zJ58uT069cvq1evzqxZs7J8+fIMGjQoBx54YPbbb79ef4/XQ/J169evz0svvZSjjz76Dfd/+eWXs+++++7U8QBQPrEHADtgwoQJee9735t77703bW1teeWVV/LJT34ySTJjxoy0trbmnnvuyQEHHJAkWbp0aX70ox9t9/lev93zD/3x+/ve/e53d78P8I20tLTs5NEAsCcQewCwA/baa6987GMfy3333ZdXX301I0eOzJ/92Z8lSZ555pmcdtpp3aGX5C3/eHpjY2Pa2tpSqVS6w++xxx7rsc8HP/jBPPjggznggAPS3NzcvX7jjTfmkUceyYIFC3bV4QFQILEHADto0qRJue2227J27drMmDGje/3II4/Mf/zHf+T9739/9tlnn/z0pz/Nf//3fyf5/Qe5jBgxYpvn+sAHPpBbbrkl3/3ud3Paaaflf/7nf3LzzTf32Oe0007LbbfdlvPPPz/nnHNO3vWud2XJkiX5wQ9+kEsuuSR1dd56D8D2+VcCAHbQ0Ucfnf333z9dXV352Mc+1r0+b968HHnkkfnKV76Sq6++OoMGDcqdd96Z8ePH5+abb87q1au3ea6PfexjmTJlSm655ZZ85CMfyY033pgvf/nLPfbZe++9c8stt+SII47IV7/61cyYMSNPPfVUrrrqqpxzzjnv+PECsHvrV/njd4MDAACw23NlDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoED/H6LIJtrkZWN1AAAAAElFTkSuQmCC", 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"default_parameters": {}, - "duration": 3.490933, - "end_time": "2024-05-08T19:20:09.776515", + "duration": 4.41937, + "end_time": "2024-05-08T19:29:45.899453", "environment_variables": {}, "exception": null, "input_path": "Blackbody.ipynb", @@ -537,7 +537,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:06.285582", + "start_time": "2024-05-08T19:29:41.480083", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Broken_powerlaw.ipynb.txt b/_sources/notebooks/Broken_powerlaw.ipynb.txt index f133fba7..95ebc067 100644 --- a/_sources/notebooks/Broken_powerlaw.ipynb.txt +++ b/_sources/notebooks/Broken_powerlaw.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "c67f8920", + "id": "2e576e89", "metadata": { "papermill": { - "duration": 0.008702, - "end_time": "2024-05-08T19:21:41.152165", + "duration": 0.002114, + "end_time": "2024-05-08T19:31:37.168328", "exception": false, - "start_time": "2024-05-08T19:21:41.143463", + "start_time": 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4.370317, + "end_time": "2024-05-08T19:31:40.932731", "environment_variables": {}, "exception": null, "input_path": "Broken_powerlaw.ipynb", @@ -634,7 +634,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:40.610174", + "start_time": "2024-05-08T19:31:36.562414", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Cauchy.ipynb.txt b/_sources/notebooks/Cauchy.ipynb.txt index 416cb0ec..cdd19632 100644 --- a/_sources/notebooks/Cauchy.ipynb.txt +++ b/_sources/notebooks/Cauchy.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "3c4c3d47", + "id": "32f7198c", "metadata": { "papermill": { - "duration": 0.003955, - "end_time": "2024-05-08T19:22:37.792244", + "duration": 0.004882, + "end_time": "2024-05-08T19:32:42.103835", "exception": false, - "start_time": "2024-05-08T19:22:37.788289", + "start_time": "2024-05-08T19:32:42.098953", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": 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ASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASFSPCcKWlpY477zzoqWlJb+ts7Mzbrvttqivr4+6urq4+eabI5fL5edZlsU999wTY8eOjVGjRsUNN9wQTU1NBftdvnx5jB8/PkaOHBmTJ0+Obdu2HbNzAgAA6Ml6RBC+8sorceedd8aBAwcKti9YsCDWr18fCxcujPvvvz+2bt0at9xyS36+ePHiWLFiRcybNy+WLl0a7e3tMW3atPx8zZo1cdddd8X06dNj5cqVUVVVFVOmTIn29vZjdm4AAAA9VdGD8H/+z/8Z48aNix//+McF21999dV46KGH4qtf/WqMGTMmRo0aFbNnz45HHnkkmpubI8uyWLJkSdx4441x8cUXx7Bhw2LevHmxcePG2LRpU0S8FozXXHNNTJw4MWpqamLu3LnR0tISa9euLcKZAgAA9CxFD8KpU6fGqlWr4o477ijY/swzz0RExJgxY/LbRowYEb17944NGzbEiy++GE1NTTFu3Lj8vLq6OgYOHBiNjY3R2toamzdvLpiXlZVFbW1tNDY2vsNnBQAA0PP1LvYBVFdXR3V1dbz66qsF27dv3x6VlZVRWlqa31ZaWhr9+vWL5ubmOPnkk6OkpCQGDBhQ8Lyqqqpobm6OnTt3Rnd3dwwaNOgN5wAAAKkrehAeSi6Xi7KysoO2l5eXRy6Xi1wuF6WlpVFSUnLIeUQctI/y8vK3FYQNDQ2HnE2fPj3OOeecI943AADAsVT0W0YPpaKi4g0//KWjoyMqKiqioqIiOjo6oru7+5DziIi2traCeWdnZ34GAACQsh57hbCysjL27NkTnZ2d+dtG9+/fH3v27IkBAwZE//79I8uy2L17d1RXV+eft3v37rjkkkuif//+ERGxa9euGDhwYH6+a9euOO+88474uJ588slDzrZu3VrwazEAAAB6sh57hbC+vj6yLIunn346v+2pp56KLMuirq4uampqon///rFu3br8fMeOHbF9+/ZoaGiIvn37Rm1tbUHAtba2xsaNG9/0tk8AAIBU9NgrhBUVFXHFFVfE7bffHvPmzYs//OEPMWfOnPjMZz4T5eXlERExadKkWLhwYVRWVkZZWVnMnz8/JkyYEGeddVZERFx99dUxd+7cGDJkSJxxxhlx7733xtlnnx0XXXRRMU8NAACgR+ixQRgRceutt8add94ZU6dOjd69e8fll18eM2fOzM+nTp0abW1tMWPGjOjq6ooJEybEnDlz8vOJEydGS0tLLFiwIPbt2xf19fVx3333HfRBNAAAACnqlWVZVuyDOFG8/h7CPn36RE1NTbEPBwCAd9CEnUuO6HlPDPz8UT4SKPSndIlLZQAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAInqXewDAACAYpmwc0mxDwGKyhVCAACARJ3wQdjZ2Rm33XZb1NfXR11dXdx8882Ry+WKfVgAAABFd8IH4YIFC2L9+vWxcOHCuP/++2Pr1q1xyy23FPuwAAAAiu6Efg/hq6++Gg899FD8zd/8TYwZMyYiImbPnh2f+9znorm5Od797ncX+QgBAACK54S+QvjMM89ERORjMCJixIgR0bt379iwYUOxDgsAAKBHOKGvEG7fvj0qKyujtLQ0v620tDT69esXzc3NR7TPhoaGQ85uv/32qKioiLa2tti6desR7R8AgGNnWud7jvn3/EHLz474ucNKK4/ikXCiamtri4iIjo6Owz72hA7CXC4XZWVlB20vLy9/Rz5Y5vXw7O7u9sE1AADHgT+PPsU+hD9JrsvfMXnruru7D/uYEzoIKyoqor29/aDtHR0dUVFRcUT7fPLJJw8527x5c3R2dkZJSUmcfPLJR7R/3nmbNm2KiIjhw4cX+Uh4M9bp+GGtjh/W6vhhrY4f1ur4kdJadXR0RHd3d8GdkodyQgdhZWVl7NmzJzo7O/N/GPv37489e/bEgAEDjvr3Gzp06FHfJ0ff9ddfHxFvHvcUn3U6flir44e1On5Yq+OHtTp+WKs3dkJ/qEx9fX1kWRZPP/10fttTTz0VWZZFXV1dEY8MAACg+E7oIKyoqIgrrrgibr/99njqqafipz/9adx8883xmc98JsrLy4t9eAAAAEV1Qt8yGhFx6623xp133hlTp06N3r17x+WXXx4zZ84s9mEBAAAU3QkfhKecckrccccdcccddxT7UAAAAHqUE/qWUQAAAA6tV5ZlWbEPAgAAgGPPFUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUKSsXXr1pg0aVKMGDEiPvzhD8cPf/jDgvlLL70U119/fYwaNSo+8IEPxHe+852C+e9///v47//9v8f5558f733ve+Ouu+6Krq6uY3kKJ5yOjo649NJLY968eQXbGxsbY+LEiVFbWxuXX355rF27tmD+dteSt+aBBx6I8ePHx4gRI+KKK66I1atXF8y9pnqOf/iHf4iPfexjMWzYsBg3blwsXLgwuru783Nr1fPccccdB/3si/Dz73jS2dkZt912W9TX10ddXV3cfPPNkcvlin1YSWlpaYnzzjsvWlpa8tsOty5ZlsU999wTY8eOjVGjRsUNN9wQTU1NBftdvnx5jB8/PkaOHBmTJ0+Obdu2HbNzKooMThBjx47Nhg0bVvD193//91mWZdm+ffuy9773vdmsWbOyLVu2ZA8//HA2bNiwbO3atVmWZdmBAweyyy67LPvCF76Q/fKXv8wee+yx7MILL8yWL1+e3/8XvvCF7FOf+lT2zDPPZOvXr88mTJiQ3XXXXUU51xPF1772tWzw4MHZ3Llz89t27NiRjRw5MvvGN76RPf/889mSJUuyoUOHZlu2bMmy7OisJYe3evXqbOjQodmKFSuyrVu3ZgsXLsyGDBmS/eIXv8iyzGuqJ1m/fn02ZMiQ7Nvf/na2devW7OGHH85GjRqVLVmyJMsya9XT7N+/P/vpT3+ajRo1quBnX5b5+Xe8mTNnTvbBD34wW79+ffbMM89kn/jEJ7Lp06cX+7CS8fLLL2df/vKXs8GDB2fNzc357Ydbl+985ztZfX199thjj2WbNm3KpkyZkv3VX/1Vfr569eqstrY2e/jhh7MtW7ZkM2bMyMaPH5+1tbUdy9M7pgQhJ4SmpqaspqYm27JlS/biiy/mv1599dUsy7Js2bJl2bhx47LOzs78c2bNmpV98YtfzLIsy9auXZsNHz4827t3b36+aNGi7GMf+1iWZVn261//Ohs8eHD261//Oj9/+OGHs7q6uoJ98tb94he/yMaOHZt97GMfK/hL0de//vXsU5/6VMFj/9N/+k/5x7zdteSt+cIXvpDNmDGjYNvHP/7x7O67786yzGuqJ/nyl7+cTZkypWDbt771rezDH/5wlmXWqifZuXNnNmzYsGzw4MEH/WNYlvn5dzz5/e9/nw0dOjQf41mWZT//+c+zmpqarKmpqYhHloZbb701/zr64yA83Lp0d3dn733vewv+keSll17KBg8enD333HNZlmXZlVdeWfAPXm1tbdmIESOyNWvWHKOzO/bcMsoJYdu2bTFo0KCoqamJ97znPfmv0047LSIiNmzYEGPGjImTTjop/5z6+vpobGyMiNdu0amtrY2+ffsWzH/9619Hc3NzbNiwIaqrq+Mv/uIv8vMLL7wwfv/738eWLVuOzUmeQNra2mL27Nlxyy23xOmnn14w27BhQ4wbN65g24UXXphfq7e7lrw1p556atTX1xds6927d7S3t0eE11RPksvloq6urmBbv3794pVXXokIa9WT9O/fP77//e/HqlWrYujQoQfN/fw7fjzzzDMRETFmzJj8thEjRkTv3r1jw4YNxTqsZEydOjVWrVoVd9xxR8H2w63Liy++GE1NTQWvs+rq6hg4cGA0NjZGa2trbN68uWBeVlYWtbW1+dfZiUgQckLYtm1blJSUxDXXXBP19fXxiU98In70ox/l5zt27IhBgwYVPKeqqira29ujtbX1kPOIiKampti+fXsMHDiwYF5ZWZmf86f55je/GUOGDImPfvSjB80OtRav/2Xm7a4lb823vvWt+OQnPxkREd3d3bF69erYunVrXHzxxRHhNdWT3HffffGlL30p/9/t7e3x8MMPx3nnnRcR1qonKS0tjXPPPTfOPffc6NOnz0FzP/+OH9u3b4/KysooLS3NbystLY1+/fqJ72Oguro6zj333DjzzDMLth9uXbZv3x4lJSUxYMCAgue9/jrbuXNndHd3v+nr8ETUu9gHAEfDv/7rv0ZLS0tMmzYt3vOe98TPfvazmDlzZnR3d8fEiRMjl8vFySefXPCc8vLyiHjtX9dzuVz82Z/92ZvOy8rKCua9e/eOk08+2RvI/0QbNmyI1atXx49//OM3nL/RWvXp0yf/5/x215I/zeOPPx7/9b/+1zhw4EC8//3vj/PPPz8i3v46eE29M1544YWYNWtWbNu2Lf73//7fEWGtjid+/h0/3uh1EfHan7c/6+I53LrkcrkoLS2NkpKSQ84j4qB9lJeXC0Iotn379uVvf3ojX/jCF2Lq1Knxrne9KyIihg4dGrt27YoHH3wwJk6cGKeddlr+VrfXdXR0RETEu971rrc0/7d/+7eCeZZl0dXVFRUVFW/7/E4kb7ZW3d3dMXv27PjqV78a/fr1e8PHHGotXv9zfrtryWsO95o655xzolevXnHRRRfF3//938eWLVvi61//ev6TEb2mjp23slYHDhyIRYsWxeLFi+PMM8+MZcuWxfDhwyPi7b9mrNVb91ZfV4fi59/xo6Ki4qA/64jC9eLYO9y6VFRUREdHR3R3dxdE4R/PI157a8sf6+zsPKHXVRByXHj00Udj9uzZh5w/88wzB91+M2TIkHjiiSci4rXbm377298WzHft2hX9+vWLsrKyqKysjBdeeOGg+X/4D/8hqqqqoqqqKv7pn/6pYP7yyy9Hd3f3QbcdpO5waxURMXPmzJg5c2ZERHR1dcUvfvGLeOihh2L9+vWHXKvq6uqIePtryWsOt0533XVXjBs3Lvr165e/xa2pqSkefPDBmDdvntfUMXS4tfrFL34R06ZNi2effTZuvPHGmDx5csHtUtbq2DmS/1f9MT//jh+VlZWxZ8+e6OzszL/e9u/fH3v27PG6KKLDrUv//v0jy7LYvXt3/nUVEbF79+645JJLon///hHx2uvmj2+V37VrV/42/BOR9xByXPjkJz8Zzz///CG/rrrqqvztUa/btGlT/OVf/mVERIwbNy4aGxvjwIED+fm6deti7Nix+flzzz0X+/btK5iPGDEiTj311Bg3blzs3Lmz4F/Jn3zyyaiqqir4oAXefK02bdoUq1evjlWrVuW/hg0bFpdeemmsWrUq+vTpE+PGjYt169YV7PPfr9XbWUte82brtHnz5rjlllsOioDOzs5497vfHRFeU8fS4X7+LV26NJ577rlYunRpfPGLXyyIwQhrdSwdbq3eLAYjws+/40h9fX1kWRZPP/10fttTTz0VWZYd9CFPHDuHW5eampro379/wetsx44dsX379mhoaIi+fftGbW1tPPnkk/l5a2trbNy4MRoaGo7puRxTxfuAUzh6FixYkNXV1WUPP/xw9qtf/Sr7X//rf2XnnXdetm7duizLsmzv3r1ZfX19duutt2a/+tWvsvvuuy8777zz8h8x3NXVlX3kIx/Jpk2blm3evDlbuXJlNmzYsOyf/umf8t/jc5/7XHbVVVdlGzduzH7yk59kF1xwQf73fHHkrrnmmoKPXt+2bVs2fPjwbNGiRdnmzZuzO++8Mxs5cmT229/+Nsuyo7OWHN6sWbOysWPHZqtXr862bt2aff/7389GjhyZLVu2LMsyr6me5LLLLsu++tWvZv/v//2/g76yzFr1VP/+Z1+W+fl3vJk9e3Z2ySWXZD//+c+ztWvXZh/4wAey22+/vdiHlZTGxsaDfg/h4dblr//6r7P3vve92dq1a7PGxsbsiiuuyKZOnZqfP/zww9nIkSOzn/zkJ9kzzzyTTZ48OZs4cWJ24MCBY3pux5Ig5ITQ2dmZfetb38re//73Z0OHDs0uu+yy7B/+4R8KHrNp06bsU5/6VDZs2LDskksuyR599NGC+fbt27Nrr702Gz58eDZ+/Pjs//yf/1Mwb25uzm644YZsxIgR2dixY7O/+Zu/ecfPKwVv9Jein/3sZ9lll12WDR8+PPvEJz6RPfXUUwXzt7uWHF4ul8tuv/327AMf+EA2YsSI7LLLLstWrlyZdXd35x/jNdUzjBgxouD3cf3x1+usVc/zRj/7sszPv+PJH/7wh+yWW27JRo8enV144YXZ7bff7ndzHmNvFISHW5f9+/dnd999d3bhhRdmo0aNyv7H//gf2b59+wr2u3jx4qyhoSEbMWJE9sUvfjHbvXv3MTunYuiVZVlW7KuUAAAAHHveQwgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAPcCGDRtiyJAhsX79+mIfCgAJEYQAAACJEoQAAACJEoQA8DZdd911UVdXF11dXQXbZ8+eHRdccEF0dHTEo48+Gn/1V38Vo0aNivr6+vj85z8fTz/99CH3OWvWrHjf+95XsG3nzp0xZMiQeOihh/Lb2tra4mtf+1q8733vi9ra2vj0pz8dTzzxxNE9QQBOWIIQAN6myy+/PF599dX4+c9/nt/W1dUVjz/+eFxyySWxZcuWuPHGG+PMM8+MBQsWxKxZs2Lv3r0xZcqU+N3vfnfE3/fAgQPxpS99KR5++OG47rrr4hvf+EaceeaZ8Z//83+O1atXH4UzA+BE17vYBwAAx7sPfehDMWfOnHj00Udj7NixERHxL//yL/H73/8+Pv7xj8cLL7wQo0ePjm984xvRq1eviIj4j//xP8bkyZPj+eefj/r6+iP6vmvWrIkNGzbEypUrY9SoURER8eEPfzj27t0bCxcujEsvvfTonCAAJyxXCAHgbTr11FNjwoQJ8dhjj0WWZRER8cgjj8SAAQPiggsuiE9/+tOxfPnyaG1tjV/+8pfxyCOPxIoVKyLitat8R+qnP/1pVFVVxeDBgyOXy+W/3ve+98W//du/RXNz81E5PwBOXK4QAsBRcMUVV8Tq1avj2WefjeHDh8djjz0WkyZNil69esWOHTvi1ltvjQ0bNkS/fv3irLPOijPOOONP/h6vx+brmpqa4uWXX47Ro0e/4eP37t0b7373u4/ofABIgyAEgKOgoaEhTj/99Hj00Ucjl8vF7373u/j4xz8eEREzZ86M5ubmeOSRR+LMM8+MiIj169fHj3/840Pu7/VbS//Yv3+/4WmnnZZ/X+Ibqa6uPsKzASAVghAAjoKTTjopPvrRj8Zjjz0W+/bti9ra2vjzP//ziIjYsmVLXHnllfkYjIjD/gL68vLyyOVykWVZPg6feuqpgsdceOGFsXbt2jjzzDOjsrIyv/3++++Pf/mXf4nFixcfrdMD4AQlCAHgKLn88svje9/7XuzevTtmzpyZ3z58+PD40Y9+FH/xF38R73rXu+Kf//mf4//+3/8bEa99+ExNTc1B+zr//PNj2bJl8e1vfzuuvPLK+NWvfhUPPvhgwWOuvPLK+N73vhfXXXddXHvttXHqqafGunXr4gc/+EHMnj07Skp8VAAAb87/KQDgKBk9enQMGjQouru746Mf/Wh++4IFC2L48OHx9a9/PebPnx/9+vWLH/7whzF27Nh48MEHY8eOHQft66Mf/WhMnTo1li1bFh/+8Ifj/vvvj6997WsFjznllFNi2bJlMWzYsLj77rtj5syZ8dxzz8Udd9wR11577Tt+vgAc/3pl//4d6gAAACTBFUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBE/X+DhF6L0PPWSAAAAABJRU5ErkJggg==", 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AAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQ3R6Eq1evzqRJk3LUUUdl7NixmT59elpaWpIkVVXlxhtvzJgxYzJq1KhMnTo169ev77L/HXfckRNPPDFHHXVUJk6cmJUrV3YZX7hwYT760Y9m5MiROeOMM/LYY4/tqVMDAADo0bo1CKuqypQpU9Le3p7bbrstN9xwQx5//PFMnz49STJv3rzceeedmTlzZhYsWJDNmzdnypQpnfsvXLgw119/faZNm5a77rordXV1mTRpUjZv3pwkeeyxx3LxxRfnrLPOyt13351jjz02F154YV544YVuOV8AAICepFuD8IknnsjTTz+dWbNm5aijjsro0aPzpS99KQ899FA2b96c+fPn56KLLspJJ52U4cOHZ+bMmVm2bFmeeOKJJK8F4znnnJMJEyakoaEhM2bMyIYNG7Jo0aIkyfz58/PhD3845513Xg477LB86UtfysCBA/MP//AP3XjWAAAAPUO3BmFbW1uOOeaYDBs2rHPbPvvsk46Ojixfvjzr16/PuHHjOsfq6+tz4IEHZsmSJWltbc3y5cu7jPfr1y+NjY1ZsmRJkmTp0qVdxnv16pWmpqbOcQAAgJL17s6/fPTo0Rk9enTnnzds2JBvfvObaWpqyq9//evU1NRk6NChXfapq6tLS0tL1qxZk46Oji4x+dvjra2t2bhx45uOP/XUUzs957Fjx253bNq0aTn00EN3+tgAAAB7UrcG4W/71Kc+lZ/97GfZZ5998rd/+7d58cUX06dPn9TUdL2J2b9//7S1taWtrS3Ja3cFf3e8paXlLcdfHwMAAChZjwnCOXPmZO3atbnzzjszefLkTJ8+PVu2bElHR0eXKNyyZUtqa2tTW1ubJNm0aVOX47S3t6e2tjb777//W47vrAcffHC7YytWrBCbAADAXqNbP0P45JNP5pFHHkmSDBs2LMcdd1y+9rWvpaamJq2tramqKuvWreuyz7p161JfX5/BgwcnSdauXdtlfO3atamvr0///v2z3377bXccAACgdN0ahD/60Y/y53/+56mqqnPbq6++mo6OjhxyyCEZPHhwFi9e3Dm2evXqrFq1KmPHjs3AgQPT2NjY5Y5da2trli1b1vk5v3HjxnUZ37ZtW5YsWfKWnwMEAAAoRbe+ZfS0007LzTffnCuvvDKf/exns3Xr1txyyy35gz/4g4wdOzZnnnlm5syZkyFDhqRfv36ZNWtWxo8fn4MPPjhJcvbZZ2fGjBk5/PDDc8ABB+Smm27KIYcckuOPP75zfOLEiTn66KMzYsSI3Hbbbdm6dWtOPfXU7jxtAACAHqFbg/Dggw/OvHnz8vWvfz0TJ05M//79c+yxx+a2227LgAEDMnny5GzatCnTp0/P1q1bM378+Fx99dWd+0+YMCEbNmzI7Nmz88orr6S5uTk333xz52cOm5qaMmvWrMydOzcvvPBCGhsbc+utt2bAgAHddMYAAAA9R6/qt9+vyS55/UtlBgwYkIaGhu6eDgAA7JXGr5m/0/vef+D5u3Eme6ffp0u69TOEAAAAdB9BCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUKjeb/eB55577ts+aK9evfKtb31rpyYEAADAnvG2g3Dr1q3p1avXWz5m3bp1ee6553b4OAAAALrf2w7CO++8c7tj27Zty7x58/K//tf/ynvf+95ceumlu2VyAAAAvHPedhBuz+OPP54rr7wyTz/9dE477bRcdtllee9737s75gYAAMA7aKeDsLW1Nd/4xjdy1113pb6+Pt/85jczZsyY3Tk3AAAA3kE7FYT33ntvrrvuurS0tOS8887LtGnT0q9fv909NwAAAN5Bv1cQrl27NjNmzMiiRYtyxBFH5G/+5m9y5JFHvlNzAwAA4B30toNw/vz5mTt3bqqqyvTp0zNx4sTU1Pg1hgAAAHurtx2EX/3qV9OrV6/U19fnRz/6UX70ox9t97G9evXK7bffvlsmCAAAwDvjbQdhU1PTOzkPAAAA9rC3HYQLFix4J+cBAADAHuZDgAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIXq9iBsaWnJF7/4xTQ1NaWxsTHnnHNOnnzyySRJVVW58cYbM2bMmIwaNSpTp07N+vXru+x/xx135MQTT8xRRx2ViRMnZuXKlV3GFy5cmI9+9KMZOXJkzjjjjDz22GN76tQAAAB6tG4PwmnTpuUXv/hF/uqv/iq33357amtr8/nPfz6bNm3KvHnzcuedd2bmzJlZsGBBNm/enClTpnTuu3Dhwlx//fWZNm1a7rrrrtTV1WXSpEnZvHlzkuSxxx7LxRdfnLPOOit33313jj322Fx44YV54YUXuut0AQAAeoxuDcKVK1fm4YcfzsyZM9Pc3JzGxsbccMMN2bhxY+67777Mnz8/F110UU466aQMHz48M2fOzLJly/LEE08kSebNm5dzzjknEyZMSENDQ2bMmJENGzZk0aJFSZL58+fnwx/+cM4777wcdthh+dKXvpSBAwfmH/7hH7rxrAEAAHqGbg3C559/PnV1dfnABz7QuW3AgAHZd99986tf/Srr16/PuHHjOsfq6+tz4IEHZsmSJWltbc3y5cu7jPfr1y+NjY1ZsmRJkmTp0qVdxnv16pWmpqbOcQAAgJL17s6//Pjjj88DDzzQZds//dM/5eWXX85hhx2WmpqaDB06tMt4XV1dWlpasmbNmnR0dGTYsGFvOt7a2pqNGze+6fhTTz2103MeO3bsdsemTZuWQw89dKePDQAAsCd1axD+tldffTXz5s3L3Llzc/LJJ6etrS19+vRJTU3Xm5j9+/dPW1tb2trakrx2V/B3x1taWt5y/PUxAACAkvWIIFy+fHkuvfTS/OIXv8gFF1yQadOmZfHixdmyZUs6Ojq6ROGWLVtSW1ub2traJMmmTZu6HKu9vT21tbXZf//933J8Zz344IPbHVuxYoXYBAAA9hrd/i2j//Zv/5Yzzzwz/fv3z/e+97186Utfyj777JMhQ4akqqqsW7euy+PXrVuX+vr6DB48OEmydu3aLuNr165NfX19+vfvn/3222+74wAAAKXr1iBsbW3NpZdempNOOil33HFHGhoaOscaGhoyePDgLF68uHPb6tWrs2rVqowdOzYDBw5MY2Njlzt2ra2tWbZsWefn/MaNG9dlfNu2bVmyZMlbfg4QAACgFN36ltGHHnoobW1tufDCC/OrX/2qy9h73vOenHnmmZkzZ06GDBmSfv36ZdasWRk/fnwOPvjgJMnZZ5+dGTNm5PDDD88BBxyQm266KYccckiOP/74zvGJEyfm6KOPzogRI3Lbbbdl69atOfXUU/f4uQIAAPQ03RqEq1atytatW/PJT37yDWNTp07NlClTsmnTpkyfPj1bt27N+PHjc/XVV3c+ZsKECdmwYUNmz56dV155Jc3Nzbn55ps7P3PY1NSUWbNmZe7cuXnhhRfS2NiYW2+9NQMGDNhTpwgAANBj9aqqquruSbxbvP6lMgMGDOjy9lcAAODtG79m/k7ve/+B5+/Gmeydfp8u6fYvlQEAAKB7CEIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBC9Zgg3LBhQ4444ohs2LChc1t7e3uuuuqqNDc3p6mpKZdffnna2to6x6uqyo033pgxY8Zk1KhRmTp1atavX9/luHfccUdOPPHEHHXUUZk4cWJWrly5x84JAACgJ+sRQfjCCy/kuuuuy7Zt27psnz17dh566KHMmTMnt9xyS1asWJErrriic3zevHm58847M3PmzCxYsCCbN2/OlClTOscXLlyY66+/PtOmTctdd92Vurq6TJo0KZs3b95j5wYAANBTdXsQ/uVf/mXGjRuXf/zHf+yy/eWXX87dd9+dL3/5yxk9enRGjRqVyy67LPfee29aWlpSVVXmz5+fiy66KCeddFKGDx+emTNnZtmyZXniiSeSvBaM55xzTiZMmJCGhobMmDEjGzZsyKJFi7rhTAEAAHqWbg/CyZMn55577sm1117bZfujjz6aJBk9enTntpEjR6Z3795ZunRpnn322axfvz7jxo3rHK+vr8+BBx6YJUuWpLW1NcuXL+8y3q9fvzQ2NmbJkiXv8FkBAAD0fL27ewL19fWpr6/Pyy+/3GX7qlWrMmTIkPTp06dzW58+fTJo0KC0tLSkb9++qampydChQ7vsV1dXl5aWlqxZsyYdHR0ZNmzYm47vrLFjx253bNq0aTn00EN3+tgAAAB7UrffIdyetra29OvX7w3b+/fvn7a2trS1taVPnz6pqanZ7niSNxzj9XEAAIDSdfsdwu2pra190y9/2bJlS2pra1NbW5stW7ako6OjSxT+9niSbNq0qcv+7e3tnWM748EHH9zu2IoVK8QmAACw1+ixdwiHDBmSF198Me3t7Z3bXn311bz44osZOnRohgwZkqqqsm7dui77rVu3LvX19Rk8eHCSZO3atV3G165dm/r6+nf+BAAAAHq4HhuEzc3NqaoqjzzySOe2hx9+OFVVpampKQ0NDRk8eHAWL17cOb569eqsWrUqY8eOzcCBA9PY2Njljl5ra2uWLVv2lp8DBAAAKEWPfsvo6aefnmuuuSYzZ87Mb37zm1x99dX53Oc+l/79+ydJzjzzzMyZMydDhgxJv379MmvWrIwfPz4HH3xwkuTss8/OjBkzcvjhh+eAAw7ITTfdlEMOOSTHH398d54aAABAj9BjgzBJrrzyylx33XWZPHlyevfundNOOy2XXHJJ5/jkyZOzadOmTJ8+PVu3bs348eNz9dVXd45PmDAhGzZsyOzZs/PKK6+kubk5N9988xu+iAYAAKBEvaqqqrp7Eu8Wr3+pzIABA9LQ0NDd0wEAgL3S+DXzd3rf+w88fzfOZO/0+3SJW2UAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFetcHYXt7e6666qo0Nzenqakpl19+edra2rp7WgAAAN3uXR+Es2fPzkMPPZQ5c+bklltuyYoVK3LFFVd097QAAAC6Xe/unsA76eWXX87dd9+dv/7rv87o0aOTJJdddlnOPffctLS05H3ve183zxAAAKD7vKvvED766KNJ0hmDSTJy5Mj07t07S5cu7a5pAQAA9Ajv6juEq1atypAhQ9KnT5/ObX369MmgQYPS0tKyU8ccO3bsdseuueaa1NbWZtOmTVmxYsVOHR8AAEo3pf39O73vdzc8sNP7Du8zZKf37Uk2bdqUJNmyZcsOH/uuDsK2trb069fvDdv79+//jnyxzOvh2dHR4YtrAABgJ/1hBnTL39u29d31/+E7Ojp2+Jh3dRDW1tZm8+bNb9i+ZcuW1NbW7tQxH3zwwe2OLV++PO3t7ampqUnfvn13eKwnnngiSTJixIidmgvvHGvTc1mbns369FzWpueyNj2b9em5rM32bdmyJR0dHV3eKbk9vaqqqvbAnLrFfffdly9+8Yv5j//4j84n49VXX82oUaPyV3/1VznhhBO6dX6vv/30rSKT7mFtei5r07NZn57L2vRc1qZnsz49l7XZPd7VXyrT3NycqqryyCOPdG57+OGHU1VVmpqaunFmAAAA3e9dHYS1tbU5/fTTc8011+Thhx/Ov//7v+fyyy/P5z73ufTv37+7pwcAANCt3tWfIUySK6+8Mtddd10mT56c3r1757TTTssll1zS3dMCAADodu/6INx3331z7bXX5tprr+3uqQAAAPQo7+q3jAIAALB97+pvGQUAAGD73CEEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCDcja699trMnDlztx/3V7/6VS688MKMGjUqH/rQh/K3f/u3XcZfeuml/MVf/EWOOeaY/Mmf/Emuv/76bN26dbfPY2+2s2uzYsWKnHnmmRk5cmQ+8pGP5Hvf+16XcWuz67a3Nj/4wQ/y8Y9/PMOHD8+4ceMyZ86cdHR0vO3jWpvdY3vrs2TJkkyYMCGNjY057bTTsmjRoi7jXjt7D2vRfbxOupfrzN6rvb09V111VZqbm9PU1JTLL788bW1t3T2tvVbv7p7Au8G2bduyePHifO9738uECRO6jI0YMWK7+/3Lv/xLhg4dms985jNZsWJFl7EvfOELmTp1ajo6OjJ58uQccMABuf3227Nu3bpcfvnlGTBgQM4666wkycUXX5yNGzfmm9/8ZjZv3pwvf/nL6dWrVy6++OLdfq57m7damyQZO3ZsXnrppS7bZsyYkU9+8pNpbW3NpEmT8sEPfjBXXXVVVqxYkSuvvDLve9/7csIJJ1ibXfRWa/PjH/84l1xySf78z/88J554Yp588snMnDkzAwcOzMSJE5PE6+Yd9lbrs2bNmvzZn/1ZzjnnnFx//fV56KGHMnXq1Hz3u99NQ0OD184e5BrTs7nG9FyuM3u32bNn56GHHsqcOXPSr1+/XHPNNbniiisyZ86c7p7a3qlil6xZs6YaPnx4ddhhh1WHHXZYNWPGjC7jzz777Bt+LrzwwmrKlCnVtm3bqo6OjmrkyJHVAw880OUxLS0tVVVV1aJFi6oRI0ZUGzdu7Dzm3Llzq49//ONVVVXVM888Ux122GHVM8880zn+/e9/v2pqaqra29vf+SegB9vR2qxfv75qaGionnzyyS7P/csvv1xVVVXdfvvt1bhx47o8j5deemn1+c9/vqoqa7MrdrQ2X/ziF6tJkyZ12faNb3yj+shHPlJVVeV18w7b0fp89atfrT796U932fbf//t/73yc186e4xrTc7nG9GyuM3uvl156qTryyCOrRYsWdW77yU9+UjU0NFTr16/vxpntvbxldBcNHjw43/nOd3LPPffkyCOPfMP4+9///i4/y5cvzzPPPJOvfOUrqampybp169LR0ZE/+ZM/6fK4QYMGJXntbVmNjY0ZOHBg5zGbm5vzzDPPpKWlJUuXLk19fX3+6I/+qHP8uOOOy0svvZQnn3zyHT//nmxHa7Ny5coMGzYsDQ0NXZ77/fffP0mydOnSjB49Ovvss0/nPs3NzVmyZEkSa7MrdrQ2bW1taWpq6rJt0KBBeeGFF5LE6+YdtqP1Wbp0acaNG9dl23HHHdf52vDa2XNcY3ou15iezXVm7/Xoo48mSUaPHt25beTIkendu3eWLl3aXdPaq3nL6C7q06dPPvCBDyRJBgwY8JaP3bBhQ6677rr85V/+ZecFYeXKldl///0zefLk/OxnP8ugQYPymc98Jueee25qamqyevXqDBs2rMtx6urqkiTr16/PqlWrcuCBB3YZHzJkSOd4yXa0NitXrkxNTU3OOeecPPPMM6mvr8/555+f008/PUmyevXqnHTSSV32qaury+bNm9Pa2mptdsGO1ubmm2/u8ufNmzfn+9//fo444ogkXjfvtB2tz/ae35aWls5xr509zzWmZ3GN6dlcZ/Zeq1atypAhQ9KnT5/ObX369MmgQYM6r0P8fgThHnTjjTfmkEMOycc//vHObb/85S/z8ssv50Mf+lD+4i/+Ij/96U/zta99La2trZk6dWra2tryB3/wB12O079//ySv/dettra29OvXr8t4796907dvXx+u3YFf/vKX2bBhQ6ZMmZL3v//9eeCBB3LJJZeko6MjEyZMSFtbW/r27dtln9997q3NO+/pp5/OpZdempUrV+bv/u7vknjddLc3e20MGDCg87nz2ukerjE9i2vM3sN1Zu/yZs9t8trz77ndOYJwB1555ZXOtw+8mUMPPTS9evXa4XGee+65/N//+3/zzW9+s8v2008/PaeeemrnWxCOOOKItLa25tZbb83UqVOz//77Z/PmzV322bJlS5LkPe95T/bff//853/+Z5fxqqqydevW1NbWvq1z3Fvt6tr8j//xPzJ58uS85z3vSZIceeSRWbt2bb71rW9lwoQJb+u5tzZvbne8bl599dXMnTs38+bNy0EHHZTbb7+98ws0vG52za6uz/ae39efO6+d3eftrpVrzJ63o7Vxjeleb+e1s23bNteZvVBtbe0bnvuk63WI348g3IH77rsvl1122XbHH3300R2+VTRJvv3tb+fggw/O8ccf32X7m/0Pt6GhIS+99FK2bNmSIUOG5Omnn+4yvnbt2vyX//JfUldXl7q6uvzrv/5rl/Hnn38+HR0dGTp06A7ntTfb1bV5/R/533b44Yfn/vvvT/LaWzuee+65LuNr167NoEGD0q9fP2vzFnZ1bdrb23PhhRfmsccey0UXXZSJEyd2eWuI182u2dX12d5ro76+/i3HvXZ+f293rVxj9rydeR25xuw5O1qf//iP/8iUKVNcZ/ZCQ4YMyYsvvpj29vbONXv11Vfz4osvem53ki+V2YFPfvKTeeqpp7b783ZisKqq/OAHP8jHPvaxN4xdeOGF+epXv9pl2+OPP56DDjooffv2zbhx4/L444/nlVde6RxfvHhxRo4cmf322y/jxo3LmjVruvxXqAcffDB1dXVdPsj8brSra/OJT3yi860hr3viiSfyx3/8x0mScePGZcmSJdm2bVvn+OLFizNmzJjOcWvz5nZ1bebNm5fHH388CxYsyOc///kuF+nE62ZX7er6jBs3LosXL+6y7XdfG147u8fbWSvXmO6xo7U544wzXGO60Y7WZ8GCBa4ze6nm5uZUVZVHHnmkc9vDDz+cqqre8EVBvE3d9O2m70rnnHPOG76evaqqatmyZdVhhx1W/fSnP33D2N/93d9VI0aMqBYsWFD9/Oc/r+66665q5MiR1Xe+852qqqpq69at1Uc/+tFqypQp1fLly6u77rqrGj58ePWv//qvncc499xzqzPOOKNatmxZ9U//9E/VscceW82fP/+dOs290putzezZs6umpqbq+9//fvXzn/+8+t//+39XRxxxRLV48eKqqqpq48aNVXNzc3XllVdWP//5z6ubb765OuKII6rHH3+8qiprs7u82dp84hOfqL785S9X/+///b83/FSV182e9Gbrs3LlymrEiBHV3Llzq+XLl1fXXXddddRRR1XPPfdcVVVeO3uaa0zP5BrTs7nO7N0uu+yy6pRTTql+8pOfVIsWLao+9KEPVddcc013T2uvJQh3o+0F4fz586vhw4dXW7ZsedP95s+fX334wx+ujjzyyOrkk09+wz8Wq1atqs4777xqxIgR1Yknnlj9n//zf7qMt7S0VFOnTq1GjhxZjRkzpvrrv/7r3XZO7xZvtjbt7e3VN77xjeqEE06ojjzyyOoTn/hE9YMf/KDLY5544onq05/+dDV8+PDqlFNOqe67774u49Zm173Z2owcObLzd+D97s/rvG72jO39u/bAAw9Un/jEJ6oRI0ZU/+2//bfq4Ycf7jLutbPnuMb0TK4xPZvrzN7tN7/5TXXFFVdURx99dHXcccdV11xzjd/vuAt6VVVVdfddSgAAAPY8nyEEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEgB5g6dKlOfzww/PQQw9191QAKIggBAAAKJQgBAAAKJQgBIBddMEFF6SpqSlbt27tsv2yyy7Lsccemy1btuS+++7LZz7zmYwaNSrNzc05//zz88gjj2z3mJdeemk++MEPdtm2Zs2aHH744bn77rs7t23atClf+cpX8sEPfjCNjY357Gc/m/vvv3/3niAA71qCEAB20WmnnZaXX345P/nJTzq3bd26NT/60Y9yyimn5Mknn8xFF12Ugw46KLNnz86ll16ajRs3ZtKkSfn1r3+903/vtm3b8oUvfCHf//73c8EFF+RrX/taDjrooPzZn/1Z/vmf/3k3nBkA73a9u3sCALC3O/nkk3P11Vfnvvvuy5gxY5IkP/7xj/PSSy/lT//0T/P000/n6KOPzte+9rX06tUrSfJf/+t/zcSJE/PUU0+lubl5p/7ehQsXZunSpbnrrrsyatSoJMlHPvKRbNy4MXPmzMmpp566e04QgHctdwgBYBftt99+GT9+fH74wx+mqqokyb333puhQ4fm2GOPzWc/+9nccccdaW1tzc9+9rPce++9ufPOO5O8dpdvZ/37v/976urqcthhh6Wtra3z54Mf/GD+8z//My0tLbvl/AB493KHEAB2g9NPPz3//M//nMceeywjRozID3/4w5x55pnp1atXVq9enSuvvDJLly7NoEGDcvDBB+eAAw74vf+O12PzdevXr8/zzz+fo48++k0fv3Hjxrzvfe/bqfMBoAyCEAB2g7Fjx+a9731v7rvvvrS1teXXv/51/vRP/zRJcskll6SlpSX33ntvDjrooCTJQw89lH/8x3/c7vFef2vpb/vdzxvuv//+nZ9LfDP19fU7eTYAlEIQAsBusM8+++RjH/tYfvjDH+aVV15JY2Nj/vAP/zBJ8uSTT+ZTn/pUZwwm2eEvoO/fv3/a2tpSVVVnHD788MNdHnPcccdl0aJFOeiggzJkyJDO7bfcckt+/OMfZ968ebvr9AB4lxKEALCbnHbaafn2t7+ddevW5ZJLLuncPmLEiPz93/99/uiP/ijvec978m//9m/56U9/muS1L59paGh4w7GOOeaY3H777fmbv/mbfOpTn8rPf/7zfOtb3+rymE996lP59re/nQsuuCDnnXde9ttvvyxevDjf/e53c9lll6WmxlcFAPDWXCkAYDc5+uijM2zYsHR0dORjH/tY5/bZs2dnxIgR+epXv5pZs2Zl0KBB+d73vpcxY8bkW9/6VlavXv2GY33sYx/L5MmTc/vtt+cjH/lIbrnllnzlK1/p8ph99903t99+e4YPH54bbrghl1xySR5//PFce+21Oe+8897x8wVg79er+t1PqAMAAFAEdwgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAK9f8B38ZCkKQzzWcAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -504,8 +504,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 5.308342, - "end_time": "2024-05-08T19:22:42.561644", + "duration": 3.915076, + "end_time": "2024-05-08T19:32:45.278464", "environment_variables": {}, "exception": null, "input_path": "Cauchy.ipynb", @@ -514,7 +514,7 @@ "func_name": "Cauchy", "positive_prior": false }, - "start_time": "2024-05-08T19:22:37.253302", + "start_time": "2024-05-08T19:32:41.363388", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Configuration.ipynb.txt b/_sources/notebooks/Configuration.ipynb.txt index 839c8c65..42ec841b 100644 --- a/_sources/notebooks/Configuration.ipynb.txt +++ b/_sources/notebooks/Configuration.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "447f7ae9", + "id": "e50d1acc", "metadata": {}, "source": [ "# Configuration\n", @@ -13,25 +13,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "5ed17931", + "id": "32ee2b10", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:27.998476Z", - "iopub.status.busy": "2024-05-08T19:19:27.997956Z", - "iopub.status.idle": "2024-05-08T19:19:29.175662Z", - "shell.execute_reply": "2024-05-08T19:19:29.175119Z" + "iopub.execute_input": "2024-05-08T19:29:00.812684Z", + "iopub.status.busy": "2024-05-08T19:29:00.812167Z", + "iopub.status.idle": "2024-05-08T19:29:02.270566Z", + "shell.execute_reply": "2024-05-08T19:29:02.269565Z" } }, "outputs": [ { "data": { "text/html": [ - "
19:19:28 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48\n",
+       "
19:29:01 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48\n",
        "                  available                                                                                        \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[38;5;46m19:19:28\u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The naima package is not available. Models that depend on it will not be        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=398101;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=552654;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#48\u001b\\\u001b[2m48\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[38;5;46m19:29:01\u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The naima package is not available. Models that depend on it will not be        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=532235;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=822626;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#48\u001b\\\u001b[2m48\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[38;5;46m         \u001b[0m         \u001b[1;38;5;251mavailable                                                                        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m               \u001b[0m\n"
       ]
      },
@@ -46,7 +46,7 @@
        "
\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The GSL library or the pygsl wrapper cannot be loaded. Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=24461;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=845054;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The GSL library or the pygsl wrapper cannot be loaded. Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=790370;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=244777;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -61,13 +61,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "08e400eb", + "id": "3db1f847", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:29.178169Z", - "iopub.status.busy": "2024-05-08T19:19:29.177887Z", - "iopub.status.idle": "2024-05-08T19:19:29.189449Z", - "shell.execute_reply": "2024-05-08T19:19:29.189066Z" + "iopub.execute_input": "2024-05-08T19:29:02.274522Z", + "iopub.status.busy": "2024-05-08T19:29:02.274038Z", + "iopub.status.idle": "2024-05-08T19:29:02.282594Z", + "shell.execute_reply": "2024-05-08T19:29:02.281148Z" } }, "outputs": [ @@ -132,7 +132,7 @@ }, { "cell_type": "markdown", - "id": "5ea3512a", + "id": "16b00210", "metadata": {}, "source": [ "The configuration can be accessed and altered during runtime:" @@ -141,13 +141,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "e2797201", + "id": "c08b37c6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:29.191431Z", - "iopub.status.busy": "2024-05-08T19:19:29.191329Z", - "iopub.status.idle": "2024-05-08T19:19:29.199526Z", - "shell.execute_reply": "2024-05-08T19:19:29.199160Z" + "iopub.execute_input": "2024-05-08T19:29:02.285890Z", + "iopub.status.busy": "2024-05-08T19:29:02.285629Z", + "iopub.status.idle": "2024-05-08T19:29:02.288755Z", + "shell.execute_reply": "2024-05-08T19:29:02.288112Z" } }, "outputs": [], @@ -158,13 +158,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "ca7a66ac", + "id": "345a12cc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:29.201368Z", - "iopub.status.busy": "2024-05-08T19:19:29.201265Z", - "iopub.status.idle": "2024-05-08T19:19:29.205909Z", - "shell.execute_reply": "2024-05-08T19:19:29.205577Z" + "iopub.execute_input": "2024-05-08T19:29:02.292102Z", + "iopub.status.busy": "2024-05-08T19:29:02.291857Z", + "iopub.status.idle": "2024-05-08T19:29:02.297953Z", + "shell.execute_reply": "2024-05-08T19:29:02.297376Z" } }, "outputs": [ @@ -229,7 +229,7 @@ }, { "cell_type": "markdown", - "id": "61aa6596", + "id": "f9ca6e71", "metadata": {}, "source": [ "The user can create a configuration YAML file with any name and the extension `.yml` and place it in the `~/.config/astromodels/` folder. An example file:\n", @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "a9a88677", + "id": "8d9a7f8f", "metadata": {}, "source": [ "## Configuration options\n", diff --git a/_sources/notebooks/Constant.ipynb.txt b/_sources/notebooks/Constant.ipynb.txt index 3f79789c..40f621d4 100644 --- a/_sources/notebooks/Constant.ipynb.txt +++ b/_sources/notebooks/Constant.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "f9608347", + "id": "4456f2b9", "metadata": { "papermill": { - "duration": 0.011207, - "end_time": "2024-05-08T19:20:57.824703", + "duration": 0.006857, + "end_time": "2024-05-08T19:30:45.117705", "exception": false, - "start_time": "2024-05-08T19:20:57.813496", + "start_time": "2024-05-08T19:30:45.110848", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f87e6938", + "id": "1dc51abb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:57.837067Z", - "iopub.status.busy": "2024-05-08T19:20:57.836327Z", - "iopub.status.idle": "2024-05-08T19:20:59.234978Z", - "shell.execute_reply": "2024-05-08T19:20:59.234431Z" + "iopub.execute_input": "2024-05-08T19:30:45.129479Z", + "iopub.status.busy": "2024-05-08T19:30:45.129008Z", + "iopub.status.idle": "2024-05-08T19:30:46.919804Z", + "shell.execute_reply": "2024-05-08T19:30:46.918977Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.40675, - "end_time": "2024-05-08T19:20:59.236492", + "duration": 1.798987, + "end_time": "2024-05-08T19:30:46.922174", "exception": false, - "start_time": "2024-05-08T19:20:57.829742", + "start_time": "2024-05-08T19:30:45.123187", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "45b17f2d", + "id": "175c133e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.239955Z", - "iopub.status.busy": "2024-05-08T19:20:59.239603Z", - "iopub.status.idle": "2024-05-08T19:20:59.248035Z", 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"completed" }, "tags": [ @@ -340,14 +340,14 @@ }, { "cell_type": "markdown", - "id": "7232aca1", + "id": "8b94f809", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001464, - "end_time": "2024-05-08T19:20:59.378184", + "duration": 0.004806, + "end_time": "2024-05-08T19:30:47.130343", "exception": false, - "start_time": "2024-05-08T19:20:59.376720", + "start_time": "2024-05-08T19:30:47.125537", "status": "completed" }, "tags": [] @@ -362,19 +362,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "befb3d77", + "id": "469924f9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.381649Z", - "iopub.status.busy": "2024-05-08T19:20:59.381511Z", - "iopub.status.idle": "2024-05-08T19:20:59.520294Z", - "shell.execute_reply": "2024-05-08T19:20:59.519959Z" + "iopub.execute_input": "2024-05-08T19:30:47.134863Z", + "iopub.status.busy": "2024-05-08T19:30:47.134666Z", + "iopub.status.idle": "2024-05-08T19:30:47.328238Z", + "shell.execute_reply": 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"2024-05-08T19:20:57.082139", + "start_time": "2024-05-08T19:30:44.576561", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Cosine_Prior.ipynb.txt b/_sources/notebooks/Cosine_Prior.ipynb.txt index a46d4a80..f34f1a43 100644 --- a/_sources/notebooks/Cosine_Prior.ipynb.txt +++ b/_sources/notebooks/Cosine_Prior.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "4c5a0257", + "id": "6c216f31", "metadata": { "papermill": { - "duration": 0.007457, - "end_time": "2024-05-08T19:22:43.177498", + "duration": 0.003882, + "end_time": "2024-05-08T19:32:45.895166", "exception": false, - "start_time": "2024-05-08T19:22:43.170041", + "start_time": "2024-05-08T19:32:45.891284", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "213481ad", + "id": "f5b9d881", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:43.190863Z", - "iopub.status.busy": "2024-05-08T19:22:43.190295Z", - "iopub.status.idle": "2024-05-08T19:22:44.673001Z", - "shell.execute_reply": "2024-05-08T19:22:44.672389Z" + "iopub.execute_input": "2024-05-08T19:32:45.903731Z", + "iopub.status.busy": "2024-05-08T19:32:45.902919Z", + "iopub.status.idle": "2024-05-08T19:32:47.741041Z", + "shell.execute_reply": "2024-05-08T19:32:47.739827Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.490669, - "end_time": "2024-05-08T19:22:44.674533", + "duration": 1.845077, + "end_time": "2024-05-08T19:32:47.743485", "exception": false, - "start_time": "2024-05-08T19:22:43.183864", + "start_time": "2024-05-08T19:32:45.898408", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "a374b09d", + "id": "084ae85c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:44.677759Z", - "iopub.status.busy": "2024-05-08T19:22:44.677413Z", - "iopub.status.idle": "2024-05-08T19:22:44.686074Z", - "shell.execute_reply": 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NHwAAQFdVtadxbt26NbNnz87EiRNz88037xF6y5cvz9ixY7Nhw4Z292lqasqRRx7Z2eMCAABUlard2XvwwQfT3NycadOm5Y9//GO7Y+94xzsyYsSI9OrVKxdeeGE+//nPp3v37lm4cGH69euXk08+uUJTAwAAVIeqjb3Vq1dn586d+fjHP77HsRkzZuR//s//mcWLF+drX/tazjvvvLS2tuYDH/hAFi9enNra2gpMDAAAUD2qJvbq6+vz9NNPt/1+2rRpmTZt2uveZ8iQIVm0aNH+Hg0AAOCAU7XX7AEAANBxYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAVfOl6gAAvHkNa5Z0+L5LB0/dh5MA1crOHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIHEHgAAQIF6VHoAAIB9qWHNkkqPAFAV7OwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUyPfsAQBUkO8FBPYXO3sAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAFEnsAAAAF6lHpAQA6omHNkkqPAABQ1ezsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFKhHpQcAAKBzNaxZ0uH7Lh08dR9OAuxPdvYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAK5Hv2gLeso9/X5LuaAAD2Hzt7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABaqa2Nu0aVOOOeaYbNq0qW1tx44d+fKXv5z6+vqMGTMml156aZqbm9uOt7a2ZsGCBRk3blxGjRqVGTNmZMOGDZUYHwAAoKpURey99NJLueqqq7Jr165261dffXUefPDBzJ8/P9/85jezatWqfPGLX2w7vnjx4txyyy2ZM2dObrzxxmzfvj2f+9znOnt8AACAqtOj0gN86Utfyve///091rds2ZLbbrst3/jGNzJ27NgkySWXXJIpU6Zk48aN6d+/f5YsWZLzzz8/EydOTJLMmTMnEyZMyOOPP57hw4d36s8BAABQTSq+szd9+vTceeedufLKK9ut//a3v02SttBLkpEjR6ZHjx5ZsWJF/vCHP2TDhg05/vjj247X1dVl8ODBWb58eecMDwAAUKUqvrNXV1eXurq6bNmypd366tWrM2DAgNTW1rat1dbWpn///tm4cWMOOuig1NTUZNCgQe3uN3DgwGzcuLFTZgcAAKhWFY+9vWlubk6vXr32WO/Tp0+am5vT3Nyc2tra1NTUvObxjho/fvxejzU2NmbIkCEdfmwAAIDOUrWx17dv32zfvn2P9ZaWlvTt2zd9+/ZNS0tLdu/e3S74/nwc+Ms0rFlS6REAOAB09O+LpYOn7uNJgDdStbE3YMCArF+/Pjt27Gg7lfPVV1/N+vXrM2jQoBxyyCFpbW3N2rVrU1dX13a/tWvX5uSTT+7w8y5btmyvx1atWvWWdg0BAAA6S8U/oGVv6uvr09ramocffrhtbeXKlWltbc2YMWMydOjQHHLIIXnggQfajj///PNZvXr1656KCQAA0BVU7c5e3759c+qpp2bu3LmZM2dO/u3f/i2XX355zjjjjPTp0ydJMnny5MyfPz8DBgxIr1698pWvfCUNDQ05/PDDKzw9AABAZVVt7CXJZZddlquuuirTp09Pjx49csopp2TWrFltx6dPn55t27Zl5syZ2blzZxoaGnL55ZdXbmAAAIAq0a21tbW10kMcKP58zd7BBx+coUOHVnoc2Kcq8QEtb+VifR8oA3Bg8QEtsO+82S6p2mv2AAAA6LiqPo0TKJvdOQCA/cfOHgAAQIHEHgAAQIHEHgAAQIFcswcAQFV7K9d4+xRQujI7ewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAXy1QtQkLfy0dQAAJTFzh4AAECBxB4AAECB3vRpnFOmTHnTD9qtW7d85zvf6dBAAAAAvHVvOvZ27tyZbt26ve5t1q5dmxdeeOENbwcAQNfiunLofG869m655Za9Htu1a1cWL16chQsXpl+/fpk9e/Y+GQ4AAICOecufxvnYY4/lsssuy+9+97uccsopueSSS9KvX799MRsAAAAd1OHY27p1a/7X//pf+d73vpe6urrccMMNGTdu3L6cDQAAgA7qUOz97Gc/y1VXXZWNGzfmnHPOSWNjY3r16rWvZwMAAKCD/qLYe/HFF3PFFVfkn//5n3PMMcfk+uuvz7Bhw/bXbAAAAHTQm469JUuW5Nprr01ra2tmzpyZT33qU6mp8TV9AAAA1ehNx94111yTbt26pa6uLvfff3/uv//+vd62W7duuemmm/bJgAAAAPzl3nTsjRkzZn/OAQAAwD70pmPvxhtv3J9zAAAAsA+56A4AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAPSo9AJSqYc2SDt936eCp+3ASAAC6Ijt7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABfI9e1CF3sp39AEAQGJnDwAAoEhiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEA9Kj0AAACUpGHNkg7fd+ngqftwEro6O3sAAAAFEnsAAAAFqurTOBcuXJjrr7/+NY+ddtppaWhoSGNj4x7HHn300XTv3n1/jwcAAFC1qjr2zjjjjHz4wx9ut/bcc8/loosuyumnn56HH34448aNy8UXX9zuNkIPAADo6qo69vr375/+/fu3/X7Hjh254IIL0tjYmFGjRuW2227LyJEjc8QRR1RwSgAAgOpT1bH3H11//fVpbW3NJz/5ySRJU1NT1q1bl0mTJmXz5s0ZOXJkZs2alfe85z0dfo7x48fv9VhjY2OGDBnS4ccGAADoLAfMB7S88MIL+da3vpWZM2e2nab57LPPZufOnZk7d24WLFiQlpaWnHXWWdm0aVOFpwUAAKisA2Znb9GiRXnf+96XE044oW3t9ttvz8CBA9OzZ88kybBhwzJhwoTcfffdmTJlSoeeZ9myZXs9tmrVqjQ3N3focQEAADrTAbGzt3nz5tx1110588wz260PHjy4LfSSpE+fPjn00EOzfv36zh4RAACgqhwQsffTn/40NTU1aWhoaFtbvnx5xo4dmw0bNrStbd26NU1NTTnyyCMrMSYAAEDVOCBi7/7778/o0aPTq1evtrURI0akV69eufDCC/PrX/86v/nNb9LY2Jh+/frl5JNPruC0AAAAlVf1sdfa2ppHHnkko0aNarfep0+fLF68OL179855552XT3/60+nZs2cWL16c2traCk0LAABQHar+A1q6deuWlStXvuaxIUOGZNGiRZ08EQAAQPWr+p09AAAA/nJVv7MHAABdRcOaJR2639LBU/fxJJTAzh4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBelR6AAAAqDYNa5ZUegR4y+zsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFKhHpQcAAID9pWHNkkqPABVjZw8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAvmcPXofv5gEA4EBlZw8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAYg8AAKBAPSo9ALxZDWuWdPi+SwdP3YeTAABA9bOzBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUKADOvZaW1uzYMGCjBs3LqNGjcqMGTOyYcOGSo8FAABQcVUfezfddFOGDx/e7tdJJ52UJFm8eHFuueWWzJkzJzfeeGO2b9+ez33ucxWeGAAAoPJ6VHqAN/KHP/whH/vYx3LOOee0rfXs2TOtra1ZsmRJzj///EycODFJMmfOnEyYMCGPP/54hg8fXqmRAQAAKq7qY6+pqSmnn356jjjiiHbrv//977Nhw4Ycf/zxbWt1dXUZPHhwli9fLvYAAIAu7YCIvXvuuSfXXntttm/fnuOOOy4XX3xxVq9enZqamgwaNKjd7QcOHJiNGzd2+PnGjx+/12ONjY0ZMmRIhx8bAACgs1T1NXvNzc1Zt25damtr8/Wvfz1XX311nnnmmUydOjXNzc2pra1NTU37H6FPnz5pbm6u0MQAAADVoap39g466KAsXbo0dXV16datW5LkyCOPzIknnpg+ffqkpaUlu3fvbhd8LS0t6du3b4efc9myZXs9tmrVKiEJAAAcEKp6Z69Hjx4ZNGhQW+glfzpNs1+/fnn22WfT2tqatWvXtrvP2rVrU1dX19mjAgAAVJWqjr0777wzEydOzM6dO9vWnn/++bz88ss59thjc8ghh+SBBx5od2z16tWve90dAABAV1DVsVdfX5/Nmzdn5syZeeSRR/LQQw+lsbExo0ePzrHHHpvJkydn/vz5+eUvf5kVK1ZkxowZaWhoyOGHH17p0QEAACqqqq/Ze/e7351vf/vbmTdvXs4999zU1tZm/PjxufTSS5Mk06dPz7Zt2zJz5szs3LkzDQ0Nufzyyys7NAAAQBWo6thLkhEjRuTGG298zWPdu3fPRRddlIsuuqiTpwIAAKhuVX0aJwAAAB0j9gAAAAok9gAAAAok9gAAAApU9R/QAgAAvL6GNUs6fN+lg6fuw0moJnb2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACuR79ugS3sp3zwAAwIHIzh4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBxB4AAECBfPUCAAB0YW/lK6qWDp66DydhX7OzBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUKAelR6ArqVhzZJKjwAAAF2CnT0AAIACiT0AAIACiT0AAIACuWaPDnHtHQAAVDc7ewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAUSewAAAAXqUekBAACAA1PDmiUdut/SwVP38SS8Fjt7AAAABar62Nu4cWO+8IUvZMyYMRkxYkTOPvvsPPXUU5UeCwAAoKpV/WmcjY2NeeWVV3Ldddeld+/eWbRoUT7zmc/k5z//eR566KE0NjbucZ9HH3003bt3r8C0AAAA1aGqY6+pqSkrV67MrbfempEjRyZJ5s2bl/r6+tx3331Zu3Ztxo0bl4svvrjd/YQeAADQ1VV17K1bty4DBw7M0Ucf3bZ28MEHp3fv3lm/fn2ampoycuTIHHHEERWcEgAAoPpU9TV7xx13XH71q1+ltra2be3HP/5xtmzZkqOPPjpNTU15+OGHM2nSpHzwgx/Meeedl+eee65yAwMAAFSJqt7Z+/deffXVLF68ONdee21OOumkjB07NhdccEGOOuqozJ07N62trbn++utz1lln5Uc/+lH69+/foecZP378Xo81NjZmyJAhHf0RAAAAOs0BEXtPPvlkZs+enWeeeSbnnntu24ey3H777Rk4cGB69uyZJBk2bFgmTJiQu+++O1OmTKnkyAAAABVV9bH3i1/8Io2NjTn66KNzxx13ZOjQoW3HBg8e3O62ffr0yaGHHpr169d3+PmWLVu212OrVq1Kc3Nzhx8bAACgs1T1NXtbt27N7NmzM3HixNx8883tQm/58uUZO3ZsNmzY0O72TU1NOfLIIysxLgAAQNWo6p29Bx98MM3NzZk2bVr++Mc/tjv23ve+N7169cqFF16Yz3/+8+nevXsWLlyYfv365eSTT67QxAeWhjVLKj0CAABd0Fv5d+jSwVP34SRlq+rYW716dXbu3JmPf/zjexybMWNGFi9enK997Ws577zz0tramg984ANZvHhxu0/vBAAA6IqqOvamTZuWadOmve5tFi1a1EnTAAAAHDiq+po9AAAAOkbsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFKhHpQcAAAB4sxrWLOnQ/ZYOnrqPJ6l+dvYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAK1KPSA/DWNKxZUukRAACAKmRnDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEC+egEAACjeW/nKsqWDp+7DSTqPnT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACHfCxt2PHjnz5y19OfX19xowZk0svvTTNzc2VHgsAAKCiDvjYu/rqq/Pggw9m/vz5+eY3v5lVq1bli1/8YqXHAgAAqKgelR7grdiyZUtuu+22fOMb38jYsWOTJJdcckmmTJmSjRs35p3vfGeFJwQAAKiMA3pn77e//W2StIVekowcOTI9evTIihUrKjUWAABAxR3QO3urV6/OgAEDUltb27ZWW1ub/v37Z+PGjR16zPHjx+/12Ny5c9O3b99s27Ytq1at6tDj72uf23FEpUcAAICirdpaHf/2/7Nt27YlSVpaWl73dgd07DU3N6dXr157rPfp02e/fEjLn6Ny9+7dVfMhMO/NwZUeAQAAita8szr+7f8f7d69+3WPH9Cx17dv32zfvn2P9ZaWlvTt27dDj7ls2bK9HnvyySezY8eO1NTU5KCDDurQ4/PmPf7440mS4cOHV3gS/iOvTfXy2lQ3r0/18tpUL69N9fLaVE5LS0t2797d7gzH13JAx96AAQOyfv367Nixo+0HffXVV7N+/foMGjRonz/fsGHD9vljsnfTpk1L8voBTmV4baqX16a6eX2ql9emenltqpfXpvod0B/QUl9fn9bW1jz88MNtaytXrkxra2vGjBlTwckAAAAq64COvb59++bUU0/N3Llzs3Llyvzyl7/MpZdemjPOOCN9+vSp9HgAAAAVc0Cfxpkkl112Wa666qpMnz49PXr0yCmnnJJZs2ZVeiwAAICKOuBjr3fv3rnyyitz5ZVXVnoUAACAqnFAn8YJAADAa+vW2traWukhAAAA2Lfs7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AEAABRI7AH7zKpVqzJ58uSMHDkyH/rQh3LHHXdUeqQu5a677spHP/rR/PVf/3WOP/74zJ8/P7t37670WCTZsWNHvvzlL6e+vj5jxozJpZdemubm5kqP1SVt3LgxX/jCFzJmzJiMGDEiZ599dp566qlKj8Wb0NramgULFmTcuHEZNWpUZsyYkQ0bNlR6LKhq3VpbW1srPQT82fDhw/d67Kc//WkGDRqUv/mbv8mqVavaHfvsZz+bGTNm7O/xurzx48dn8+bN7dauuOKKfPzjH8/WrVvz4Q9/OCeccELOOeecrFq1Kpdddlmuu+66nHjiiRWauOt46KGHMnXq1FxwwQWZMGFCnnrqqcyZMyfnn39+PvWpTyWJ904FXXHFFVm2bFnmzJmTXr16Ze7cuTnssMMyf/78So/W5Zx99tl55ZVXcumll6Z3795ZtGhRHn/88fz85z/PQw89lMbGxj3u8+ijj6Z79+4VmLbruemmm3LNNde0W3vXu96Ve++9NzfccENuuOGGXHXVVRk4cGDmz5+fLVu25NZbb63QtF3HwoULc/3117/msdNOOy0NDQ3eO1WqR6UHgH/vzjvv3GPtq1/9ampra/Pud787ra2t+f3vf5+FCxemrq6u7Tb9+vXrxCm7po0bN2bjxo35wQ9+kJ49e7atDxgwIMmfdpW6d++eOXPmpGfPnhk6dGhWrFiR7373u2KvE/zTP/1Txo8fn+nTpydJjjrqqDQ1NeWWW27Jpz71Ke+dCtqyZUtuu+22fOMb38jYsWOTJJdcckmmTJmSjRs35p3vfGeFJ+w6mpqasnLlytx6660ZOXJkkmTevHmpr6/Pfffdl7Vr12bcuHG5+OKL293PP1Y7zx/+8Id87GMfyznnnNO21rNnz7S2tmbJkiU5//zzM3HixCTJnDlzMmHChDz++OOv+38W89adccYZ+fCHP9xu7bnnnstFF12U008/PQ8//LD3TpUSe1SVI444ot3vf/jDH+b3v/99fvSjH6WmpiYvvvhidu/enQ9+8IP+AOlkTU1NOfTQQzN06NDXPL5ixYqMHTu2XQjW19fny1/+cmeN2KU1NzdnzJgx7db69++fl156KUmydu1a750K+e1vf5skbaGXJCNHjkyPHj2yYsWKfOQjH6nUaF3OunXrMnDgwBx99NFtawcffHB69+6d9evXp6mpKSNHjtzj7yI6T1NTU04//fQ9XoPf//732bBhQ44//vi2tbq6ugwePDjLly8Xe/tZ//79079//7bf79ixIxdccEEaGxszatSo3Hbbbd47Vco1e1StTZs25aqrrsrFF1+ct7/97Un+9JfA29/+9kyfPj1jx47NRz/60fzjP/6j65I6QVNTU2pqanL22Wenvr4+H/vYx/LDH/6w7fjzzz+fQw89tN19Bg4cmO3bt2fr1q2dPW6Xs2jRonz2s59t+/327dvzgx/8IMccc0wS751KWr16dQYMGJDa2tq2tdra2vTv3z8bN26s4GRdz3HHHZdf/epX7V6LH//4x9myZUuOPvroNDU15eGHH86kSZPywQ9+MOedd16ee+65yg3cBTU1NeWee+7JSSedlOOPPz4XX3xxXnrppaxevTo1NTUZNGhQu9sPHDjQ+6gCrr/++rS2tuaTn/xkknjvVDGxR9VasGBB3vOe9+SjH/1o29qzzz6bLVu25L/8l/+SxYsX58wzz8yCBQuycOHCCk7aNTz77LPZtGlTPvGJT+Tb3/52PvShD2XWrFltp942NzfnoIMOanefPn36tB2j8/zud7/LmWeemaampsycOTOJ904lNTc3p1evXnus9+nTx3ujgl599dX8wz/8Q2bNmpWTTjopY8eOzbPPPpudO3dm7ty5WbBgQVpaWnLWWWdl06ZNlR63S2hubs66detSW1ubr3/967n66qvzzDPPZOrUqWlubk5tbW1qatr/09X7qPO98MIL+da3vpWZM2e2nSnivVO9nMZJp3rllVfaTit7LUOGDEm3bt3ywgsv5Pbbb88NN9zQ7vipp56aj3zkI22nEhxzzDHZunVrvv3tb/uQibfojV6bT3/605k+fXre8Y53JEmGDRuWF198Md/5znfy3/7bf8vb3/72bN++vd19WlpakqTtPnTcm3nv7Nq1K9dee20WL16cww47LDfddFPbqU3eO5XTt2/fPd4byZ/eH3379q3ARDz55JOZPXt2nnnmmZx77rltHyxx++23Z+DAgW2now8bNiwTJkzI3XffnSlTplRy5C7hoIMOytKlS1NXV5du3bolSY488siceOKJ6dOnT1paWrJ79+52wed91PkWLVqU973vfTnhhBPa1rx3qpfYo1Pde++9ueSSS/Z6/Le//W0OPvjgfPe7383hhx+e4447rt3x1/oDfejQodm8eXNaWlr22FnizXuzr82/d9RRR2Xp0qVJ/vRBLS+88EK74y+++GL69+//mrsa/GXe6PX5zW9+k8997nN59NFH2z6B89+fqua9UzkDBgzI+vXrs2PHjrbX5NVXX8369ev3OCWN/e8Xv/hFGhsbc/TRR+eOO+5odx3y4MGD2922T58+OfTQQ7N+/frOHrNL6tGjx2ueptmvX788++yzaW1tzdq1a9t9yNTatWtz8sknd/aoXdbmzZtz11135eqrr2637r1TvZzGSaf6+Mc/nqeffnqvvw4++OC0trbmrrvuyqRJk/a4/7Rp0/b4SObHHnsshx12mH+svkVv9Nr89//+3/N//s//aXefxx9/PEceeWSS5Pjjj8/y5cuza9eutuMPPPBAxo0b16k/R6ne6PW58cYb89hjj+XGG2/MZz7zmXahl3jvVFJ9fX1aW1vz8MMPt62tXLkyra2te3yoDvvX1q1bM3v27EycODE333xzu9Bbvnx5xo4d2+5727Zu3Zqmpqa2P+fYv+68885MnDgxO3fubFt7/vnn8/LLL+fYY4/NIYcckgceeKDdsdWrV2f8+PGVGLdL+ulPf5qampo0NDS0rXnvVDc7e1Sdxx9/PC+99NJr/uF94oknZt68eRk0aFCOPfbYPPbYY1m8eHG++MUvVmDSrmX8+PG57rrr0rdv3xx11FH5v//3/+ZHP/pRvvWtbyVJPvKRj+Tv//7vc8UVV2Ty5Mn51a9+lR//+Mf53ve+V+HJu4af/OQnOeWUU/JXf/VX+Zd/+Zd2xw4//HDvnQrq27dvTj311MydOzdz5szJv/3bv+Xyyy/PGWec0XZdK53jwQcfTHNzc6ZNm5Y//vGP7Y69973vTa9evXLhhRfm85//fLp3756FCxemX79+do46SX19fa688srMnDkzU6ZMyfbt2zNv3ryMHj06xx57bCZPnpz58+dnwIAB6dWrV77yla+koaEhhx9+eKVH7zLuv//+jB49ut0ZOyNGjPDeqWK+VJ2q84//+I/5+te/nt/85jd77E78+fjNN9+cF198MXV1dTnzzDPbvjSa/Wfnzp257rrrctddd2XDhg1573vfm09/+tM59dRT227zxBNP5IorrsiqVasyePDgXHjhhfmv//W/VnDqruN973tftm3b9prHnn766STeO5W0bdu2XHXVVbnnnnvSo0ePnHLKKZk1a1a7ryph/7vhhhsyb9681zw2Y8aMfPSjH83Xvva1tp3XD3zgA7nkkkvERCd67LHHMm/evDzxxBOpra3N+PHjc+mll+ad73xndu3alf/9v/93brvttuzcuTMNDQ25/PLL87a3va3SY3cJf35PnHPOOXtc6/3ss89671QpsQcAAFAg1+wBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBAAAUSOwBQCdYsWJFjjrqqDz44IOVHgWALkLsAQAAFEjsAQAAFEjsAcAbOPfcczNmzJjs3Lmz3foll1yS97///Wlpacm9996bv/mbv8moUaNSX1+fqVOn5uGHH97rY86ePTsnnHBCu7U1a9bkqKOOym233da2tm3btnz1q1/NCSeckBEjRuQTn/hEli5dum9/QACKJPYA4A2ccsop2bJlS37961+3re3cuTP3339/Tj755Dz11FM5//zzc9hhh+Xqq6/O7Nmz8/LLL+d//I//kX/913/t8PPu2rUrn/3sZ/ODH/wg5557bv7u7/4uhx12WM4777z85Cc/2Qc/GQAl61HpAQCg2p100km5/PLLc++992bcuHFJkoceeiibN2/Oaaedlt/97ncZPXp0/u7v/i7dunVLkrzrXe/Kpz71qTz99NOpr6/v0PPec889WbFiRb73ve9l1KhRSZIPfehDefnllzN//vx85CMf2Tc/IABFsrMHAG/gbW97WxoaGnLfffeltbU1SfKzn/0sgwYNyvvf//584hOfyM0335ytW7fmiSeeyM9+9rPccsstSf60O9dRv/zlLzNw4MD85//8n9Pc3Nz264QTTsi//Mu/ZOPGjfvk5wOgTHb2AOBNOPXUU/OTn/wkjz76aIYPH5777rsvkydPTrdu3fL888/nsssuy4oVK9K/f/8cfvjhefe73/0XP8efQ/LPNmzYkHXr1mX06NGvefuXX34573znOzv08wBQPrEHAG/C+PHj069fv9x7771pbm7Ov/7rv+a0005LksyaNSsbN27Mz372sxx22GFJkgcffDB33333Xh/vz6d7/nv/8fq+t7/97W3XAb6Wurq6Dv40AHQFYg8A3oSePXtm0qRJue+++/LKK69kxIgRee9735skeeqpp3L66ae3hV6SN/zy9D59+qS5uTmtra1t4bdy5cp2t/nABz6Qf/7nf85hhx2WAQMGtK1/85vfzEMPPZTFixfvqx8PgAKJPQB4k0455ZR897vfzdq1azNr1qy29eHDh+eHP/xh/tN/+k95xzvekV/84hd55JFHkvzpg1yGDh26x2Mde+yxuemmm3L99dfn9NNPz//7f/8v3/nOd9rd5vTTT893v/vdnHvuuTnnnHPytre9LQ888ED+6Z/+KZdccklqalx6D8De+VsCAN6k0aNH59BDD83u3bszadKktvWrr746w4cPzzXXXJOvfOUr6d+/f+64446MGzcu3/nOd/L888/v8ViTJk3K9OnTc9NNN+VDH/pQvvnNb+arX/1qu9v07t07N910U/76r/868+bNy6xZs/LYY4/lyiuvzDnnnLPff14ADmzdWv/j1eAAAAAc8OzsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFOj/A5oL6ghIDxgCAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -503,8 +503,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.810549, - "end_time": "2024-05-08T19:22:45.405538", + "duration": 3.544274, + "end_time": "2024-05-08T19:32:48.852901", "environment_variables": {}, "exception": null, "input_path": "Cosine_Prior.ipynb", @@ -513,7 +513,7 @@ "func_name": "Cosine_Prior", "positive_prior": false }, - "start_time": "2024-05-08T19:22:42.594989", + "start_time": "2024-05-08T19:32:45.308627", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Cubic.ipynb.txt b/_sources/notebooks/Cubic.ipynb.txt index 8557fdf8..9c6320a8 100644 --- a/_sources/notebooks/Cubic.ipynb.txt +++ b/_sources/notebooks/Cubic.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "02651eb7", + "id": "b5c717b5", "metadata": { "papermill": { - "duration": 0.012236, - "end_time": "2024-05-08T19:21:06.296717", + "duration": 0.008115, + "end_time": "2024-05-08T19:30:55.663542", "exception": false, - "start_time": "2024-05-08T19:21:06.284481", + "start_time": "2024-05-08T19:30:55.655427", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "be57b60b", + "id": "d2b52312", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:06.312698Z", - "iopub.status.busy": "2024-05-08T19:21:06.311942Z", - "iopub.status.idle": "2024-05-08T19:21:07.727072Z", - "shell.execute_reply": "2024-05-08T19:21:07.726617Z" + "iopub.execute_input": "2024-05-08T19:30:55.675575Z", + "iopub.status.busy": "2024-05-08T19:30:55.675098Z", + "iopub.status.idle": "2024-05-08T19:30:57.427071Z", + "shell.execute_reply": "2024-05-08T19:30:57.426225Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.424285, - "end_time": "2024-05-08T19:21:07.728580", + "duration": 1.760024, + "end_time": "2024-05-08T19:30:57.429358", "exception": false, - "start_time": "2024-05-08T19:21:06.304295", + "start_time": "2024-05-08T19:30:55.669334", "status": "completed" }, 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@@ -754,8 +754,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 4.121263, - "end_time": "2024-05-08T19:22:01.563392", + "duration": 4.659211, + "end_time": "2024-05-08T19:31:59.628047", "environment_variables": {}, "exception": null, "input_path": "DoubleSmoothlyBrokenPowerlaw.ipynb", @@ -767,7 +767,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:57.442129", + "start_time": "2024-05-08T19:31:54.968836", "version": "2.6.0" } }, diff --git a/_sources/notebooks/EBLattenuation.ipynb.txt b/_sources/notebooks/EBLattenuation.ipynb.txt index c239b058..8db69348 100644 --- a/_sources/notebooks/EBLattenuation.ipynb.txt +++ b/_sources/notebooks/EBLattenuation.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "0894e6cc", + "id": "52603b60", "metadata": { "papermill": { - "duration": 0.010506, - "end_time": "2024-05-08T19:20:50.391754", + "duration": 0.001922, + "end_time": "2024-05-08T19:30:36.269997", "exception": false, - 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+389,14 @@ }, { "cell_type": "markdown", - "id": "5fc2c0d5", + "id": "00525e03", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001196, - "end_time": "2024-05-08T19:22:26.415273", + "duration": 0.002388, + "end_time": "2024-05-08T19:32:28.785645", "exception": false, - "start_time": "2024-05-08T19:22:26.414077", + "start_time": "2024-05-08T19:32:28.783257", "status": "completed" }, "tags": [] @@ -410,19 +410,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "c1b3b8e2", + "id": "08672d75", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:26.419142Z", - "iopub.status.busy": "2024-05-08T19:22:26.418871Z", - "iopub.status.idle": "2024-05-08T19:22:26.687296Z", - "shell.execute_reply": "2024-05-08T19:22:26.686871Z" + "iopub.execute_input": "2024-05-08T19:32:28.792145Z", + "iopub.status.busy": "2024-05-08T19:32:28.791597Z", + "iopub.status.idle": "2024-05-08T19:32:29.115693Z", + "shell.execute_reply": "2024-05-08T19:32:29.114282Z" }, "papermill": { - "duration": 0.272068, - "end_time": "2024-05-08T19:22:26.688695", + "duration": 0.329811, + "end_time": "2024-05-08T19:32:29.117974", "exception": false, - "start_time": "2024-05-08T19:22:26.416627", + "start_time": "2024-05-08T19:32:28.788163", "status": "completed" }, "tags": [ @@ -475,8 +475,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.600037, - "end_time": "2024-05-08T19:22:27.135095", + "duration": 4.223031, + "end_time": "2024-05-08T19:32:29.763173", "environment_variables": {}, "exception": null, "input_path": "Ellipse_on_sphere.ipynb", @@ -484,7 +484,7 @@ "parameters": { "func_name": "Ellipse_on_sphere" }, - "start_time": "2024-05-08T19:22:23.535058", + "start_time": "2024-05-08T19:32:25.540142", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Exponential.ipynb.txt b/_sources/notebooks/Exponential.ipynb.txt index b4ee74ce..6e42c15b 100644 --- a/_sources/notebooks/Exponential.ipynb.txt +++ b/_sources/notebooks/Exponential.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "6aecccf9", + "id": "632bcf69", "metadata": { "papermill": { - "duration": 0.008451, - "end_time": "2024-05-08T19:23:00.599161", + "duration": 0.004952, + "end_time": "2024-05-08T19:33:08.132957", "exception": false, - "start_time": "2024-05-08T19:23:00.590710", + "start_time": "2024-05-08T19:33:08.128005", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "5ed9c66f", + "id": "51d80e9c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:23:00.610888Z", - "iopub.status.busy": "2024-05-08T19:23:00.610328Z", - "iopub.status.idle": "2024-05-08T19:23:02.204675Z", - "shell.execute_reply": "2024-05-08T19:23:02.203991Z" + "iopub.execute_input": "2024-05-08T19:33:08.143186Z", + "iopub.status.busy": "2024-05-08T19:33:08.142119Z", + "iopub.status.idle": "2024-05-08T19:33:10.073975Z", + "shell.execute_reply": "2024-05-08T19:33:10.072964Z" }, "nbsphinx": 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"status": "completed" }, "tags": [] @@ -160,14 +160,14 @@ }, { "cell_type": "markdown", - "id": "46c8993f", + "id": "c3622216", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001075, - "end_time": "2024-05-08T19:23:02.240460", + "duration": 0.001579, + "end_time": "2024-05-08T19:33:10.118710", "exception": false, - "start_time": "2024-05-08T19:23:02.239385", + "start_time": "2024-05-08T19:33:10.117131", "status": "completed" }, "tags": [] @@ -179,19 +179,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "81d2e082", + "id": "3e8d1b86", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:23:02.243247Z", - "iopub.status.busy": "2024-05-08T19:23:02.243077Z", - "iopub.status.idle": "2024-05-08T19:23:02.252783Z", - "shell.execute_reply": "2024-05-08T19:23:02.252310Z" + "iopub.execute_input": "2024-05-08T19:33:10.129243Z", + "iopub.status.busy": "2024-05-08T19:33:10.129010Z", + "iopub.status.idle": "2024-05-08T19:33:10.138586Z", + 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", "text/plain": [ "
" ] @@ -439,8 +439,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.127962, - "end_time": "2024-05-08T19:23:03.155005", + "duration": 3.495827, + "end_time": "2024-05-08T19:33:11.077967", "environment_variables": {}, "exception": null, "input_path": "Exponential.ipynb", @@ -449,7 +449,7 @@ "func_name": "Exponential", "positive_prior": true }, - "start_time": "2024-05-08T19:23:00.027043", + "start_time": "2024-05-08T19:33:07.582140", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Exponential_cutoff.ipynb.txt b/_sources/notebooks/Exponential_cutoff.ipynb.txt index 52a47270..7100ee17 100644 --- a/_sources/notebooks/Exponential_cutoff.ipynb.txt +++ b/_sources/notebooks/Exponential_cutoff.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "16adf1df", + "id": "fe2086c1", "metadata": { "papermill": { - "duration": 0.011205, - "end_time": "2024-05-08T19:20:35.470499", + "duration": 0.008021, + "end_time": "2024-05-08T19:30:17.616950", "exception": false, - "start_time": "2024-05-08T19:20:35.459294", + "start_time": "2024-05-08T19:30:17.608929", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "bb9cf515", + "id": "72405b30", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:35.484803Z", - "iopub.status.busy": "2024-05-08T19:20:35.484146Z", - "iopub.status.idle": "2024-05-08T19:20:36.912234Z", - "shell.execute_reply": "2024-05-08T19:20:36.911653Z" + "iopub.execute_input": "2024-05-08T19:30:17.629026Z", + "iopub.status.busy": "2024-05-08T19:30:17.628456Z", + "iopub.status.idle": "2024-05-08T19:30:19.426033Z", + "shell.execute_reply": "2024-05-08T19:30:19.425019Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.435696, - "end_time": "2024-05-08T19:20:36.913669", + "duration": 1.806948, + "end_time": "2024-05-08T19:30:19.429363", "exception": false, - "start_time": "2024-05-08T19:20:35.477973", + "start_time": "2024-05-08T19:30:17.622415", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - 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"iopub.status.busy": "2024-05-08T19:20:36.929090Z", - "iopub.status.idle": "2024-05-08T19:20:36.937122Z", - "shell.execute_reply": "2024-05-08T19:20:36.936749Z" + "iopub.execute_input": "2024-05-08T19:30:19.446440Z", + "iopub.status.busy": "2024-05-08T19:30:19.446058Z", + "iopub.status.idle": "2024-05-08T19:30:19.449932Z", + "shell.execute_reply": "2024-05-08T19:30:19.448866Z" }, "papermill": { - "duration": 0.010895, - "end_time": "2024-05-08T19:20:36.938429", + "duration": 0.009827, + "end_time": "2024-05-08T19:30:19.452065", "exception": false, - "start_time": "2024-05-08T19:20:36.927534", + "start_time": "2024-05-08T19:30:19.442238", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "ada44db8", + "id": "b2e5d40f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:36.941245Z", - "iopub.status.busy": "2024-05-08T19:20:36.941113Z", - "iopub.status.idle": "2024-05-08T19:20:36.944031Z", - "shell.execute_reply": "2024-05-08T19:20:36.943671Z" + "iopub.execute_input": "2024-05-08T19:30:19.456568Z", + "iopub.status.busy": "2024-05-08T19:30:19.456340Z", + "iopub.status.idle": "2024-05-08T19:30:19.469239Z", + "shell.execute_reply": "2024-05-08T19:30:19.467589Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.005749, - "end_time": "2024-05-08T19:20:36.945275", + "duration": 0.019694, + "end_time": "2024-05-08T19:30:19.473425", "exception": false, - "start_time": "2024-05-08T19:20:36.939526", + "start_time": "2024-05-08T19:30:19.453731", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "4ebaff16", + "id": "6a5f7549", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001073, - "end_time": "2024-05-08T19:20:36.947467", + "duration": 0.001937, + "end_time": "2024-05-08T19:30:19.478472", "exception": false, - "start_time": "2024-05-08T19:20:36.946394", + "start_time": "2024-05-08T19:30:19.476535", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "2fa971c1", + "id": "506ae024", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:36.950381Z", - "iopub.status.busy": "2024-05-08T19:20:36.950239Z", - "iopub.status.idle": "2024-05-08T19:20:36.953914Z", - "shell.execute_reply": "2024-05-08T19:20:36.953489Z" + "iopub.execute_input": "2024-05-08T19:30:19.483763Z", + "iopub.status.busy": "2024-05-08T19:30:19.483544Z", + "iopub.status.idle": "2024-05-08T19:30:19.491236Z", + "shell.execute_reply": "2024-05-08T19:30:19.489926Z" }, "papermill": { - "duration": 0.006693, - "end_time": "2024-05-08T19:20:36.955242", + "duration": 0.016477, + "end_time": "2024-05-08T19:30:19.496594", "exception": false, - "start_time": "2024-05-08T19:20:36.948549", + "start_time": "2024-05-08T19:30:19.480117", "status": "completed" }, "tags": [] @@ -305,13 +305,13 @@ }, { "cell_type": "markdown", - "id": "68f7d7ba", + "id": "1b5375d4", "metadata": { "papermill": { - "duration": 0.001185, - "end_time": "2024-05-08T19:20:36.957659", + "duration": 0.00409, + "end_time": "2024-05-08T19:30:19.505481", "exception": false, - "start_time": "2024-05-08T19:20:36.956474", + "start_time": "2024-05-08T19:30:19.501391", "status": "completed" }, "tags": [] @@ -327,19 +327,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "11e11f58", + "id": "bb464bf3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:36.960582Z", - "iopub.status.busy": "2024-05-08T19:20:36.960442Z", - "iopub.status.idle": "2024-05-08T19:20:37.206420Z", - "shell.execute_reply": "2024-05-08T19:20:37.206081Z" + "iopub.execute_input": "2024-05-08T19:30:19.516121Z", + "iopub.status.busy": "2024-05-08T19:30:19.515701Z", + "iopub.status.idle": "2024-05-08T19:30:19.896953Z", + "shell.execute_reply": "2024-05-08T19:30:19.895905Z" }, "papermill": { - "duration": 0.249047, - "end_time": "2024-05-08T19:20:37.207847", + "duration": 0.388315, + "end_time": "2024-05-08T19:30:19.899117", "exception": false, - "start_time": "2024-05-08T19:20:36.958800", + "start_time": "2024-05-08T19:30:19.510802", "status": "completed" }, "tags": [ @@ -372,14 +372,14 @@ }, { "cell_type": "markdown", - "id": "6d878733", + "id": "7ec8bdc8", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001489, - "end_time": "2024-05-08T19:20:37.211020", + "duration": 0.00171, + "end_time": "2024-05-08T19:30:19.902892", "exception": false, - 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"id": "8fe07137", + "id": "9239faac", "metadata": { "papermill": { - "duration": 0.001637, - "end_time": "2024-05-08T19:20:37.420321", + "duration": 0.001888, + "end_time": "2024-05-08T19:30:20.194922", "exception": false, - "start_time": "2024-05-08T19:20:37.418684", + "start_time": "2024-05-08T19:30:20.193034", "status": "completed" }, "tags": [] @@ -459,19 +459,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "4fd44213", + "id": "b3944cdb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:37.424159Z", - "iopub.status.busy": "2024-05-08T19:20:37.424007Z", - "iopub.status.idle": "2024-05-08T19:20:37.610511Z", - "shell.execute_reply": "2024-05-08T19:20:37.610188Z" + "iopub.execute_input": "2024-05-08T19:30:20.199569Z", + "iopub.status.busy": "2024-05-08T19:30:20.199344Z", + "iopub.status.idle": "2024-05-08T19:30:20.467400Z", + "shell.execute_reply": "2024-05-08T19:30:20.467035Z" }, "papermill": { - "duration": 0.19001, - "end_time": "2024-05-08T19:20:37.611887", + "duration": 0.273913, + "end_time": "2024-05-08T19:30:20.470592", "exception": false, - "start_time": "2024-05-08T19:20:37.421877", + "start_time": "2024-05-08T19:30:20.196679", "status": "completed" }, "tags": [] @@ -524,8 +524,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.23553, - "end_time": "2024-05-08T19:20:37.954044", + "duration": 4.002527, + "end_time": "2024-05-08T19:30:21.006879", "environment_variables": {}, "exception": null, "input_path": "Exponential_cutoff.ipynb", @@ -537,7 +537,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:34.718514", + "start_time": "2024-05-08T19:30:17.004352", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Extended_sources_tutorial.ipynb.txt b/_sources/notebooks/Extended_sources_tutorial.ipynb.txt index 0fed09d9..a4b6d070 100644 --- a/_sources/notebooks/Extended_sources_tutorial.ipynb.txt +++ b/_sources/notebooks/Extended_sources_tutorial.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "3ff61384", + "id": "77ef7e1e", "metadata": {}, "source": [ "# Extended source tutorial" @@ -10,7 +10,7 @@ }, { "cell_type": "markdown", - "id": "6c8d266c", + "id": "b7246a54", "metadata": {}, "source": [ "## Introduction\n", @@ -21,25 +21,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "7ff8e7f7", + "id": "daa2b2d9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:33.230924Z", - "iopub.status.busy": "2024-05-08T19:19:33.230543Z", - "iopub.status.idle": "2024-05-08T19:19:34.393855Z", - "shell.execute_reply": "2024-05-08T19:19:34.393376Z" + "iopub.execute_input": "2024-05-08T19:29:03.493160Z", + "iopub.status.busy": "2024-05-08T19:29:03.492530Z", + "iopub.status.idle": "2024-05-08T19:29:04.905854Z", + "shell.execute_reply": "2024-05-08T19:29:04.904767Z" } }, "outputs": [ { "data": { "text/html": [ - "
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        "                  available                                                                                        \n",
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Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=245498;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=277627;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -280,7 +280,7 @@ }, { "cell_type": "markdown", - "id": "47adc68e", + "id": "c50ff7b4", "metadata": {}, "source": [ "Instead of the `position` property, extended sources have a `spatial_shape` property, which contains the function that was specified as the `shape` argument earlier. Information can be printed either with the regular `print` function or using `.display()`:" @@ -289,13 +289,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "2a956519", + "id": "6d57d9b3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.396252Z", - "iopub.status.busy": "2024-05-08T19:19:34.395981Z", - "iopub.status.idle": "2024-05-08T19:19:34.406621Z", - "shell.execute_reply": "2024-05-08T19:19:34.406242Z" + "iopub.execute_input": "2024-05-08T19:29:04.909814Z", + "iopub.status.busy": "2024-05-08T19:29:04.909325Z", + "iopub.status.idle": "2024-05-08T19:29:04.916222Z", + "shell.execute_reply": "2024-05-08T19:29:04.915443Z" } }, "outputs": [ @@ -442,7 +442,7 @@ }, { "cell_type": "markdown", - "id": "59be4093", + "id": "aaa31099", "metadata": {}, "source": [ "Spatial shape parameters can be listed, accessed, changed as any function parameters, for example:" @@ -451,13 +451,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "dcc6d5ca", + "id": "3175267e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.408532Z", - "iopub.status.busy": "2024-05-08T19:19:34.408435Z", - "iopub.status.idle": "2024-05-08T19:19:34.413001Z", - "shell.execute_reply": "2024-05-08T19:19:34.412576Z" + "iopub.execute_input": "2024-05-08T19:29:04.920113Z", + "iopub.status.busy": "2024-05-08T19:29:04.919847Z", + "iopub.status.idle": "2024-05-08T19:29:04.926827Z", + "shell.execute_reply": "2024-05-08T19:29:04.925743Z" } }, "outputs": [ @@ -510,7 +510,7 @@ }, { "cell_type": "markdown", - "id": "dd5bcea2", + "id": "c0968ed6", "metadata": {}, "source": [ "## Available shapes" @@ -518,7 +518,7 @@ }, { "cell_type": "markdown", - "id": "615492b7", + "id": "8ab36654", "metadata": {}, "source": [ "Here's a list of available 2D functions:" @@ -527,13 +527,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "c48b6ad3", + "id": "47c4102a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.414942Z", - "iopub.status.busy": "2024-05-08T19:19:34.414846Z", - "iopub.status.idle": "2024-05-08T19:19:34.417067Z", - "shell.execute_reply": "2024-05-08T19:19:34.416712Z" + "iopub.execute_input": "2024-05-08T19:29:04.930710Z", + "iopub.status.busy": "2024-05-08T19:29:04.930458Z", + "iopub.status.idle": "2024-05-08T19:29:04.939811Z", + "shell.execute_reply": "2024-05-08T19:29:04.939121Z" } }, "outputs": [ @@ -551,7 +551,7 @@ }, { "cell_type": "markdown", - "id": "ef27dc41", + "id": "dee02c87", "metadata": {}, "source": [ "Check the API or use the `display()` function to find out more about the shapes and their free parameters. " @@ -559,7 +559,7 @@ }, { "cell_type": "markdown", - "id": "be8c7828", + "id": "91157217", "metadata": {}, "source": [ "### \"Moveable\" Functions\n", @@ -573,7 +573,7 @@ }, { "cell_type": "markdown", - "id": "456cc024", + "id": "fd8f1433", "metadata": {}, "source": [ "### Fixed-position Functions\n", @@ -586,13 +586,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "ef210125", + "id": "0d67949e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.418994Z", - "iopub.status.busy": "2024-05-08T19:19:34.418872Z", - "iopub.status.idle": "2024-05-08T19:19:34.423043Z", - "shell.execute_reply": "2024-05-08T19:19:34.422609Z" + "iopub.execute_input": "2024-05-08T19:29:04.943320Z", + "iopub.status.busy": "2024-05-08T19:29:04.943099Z", + "iopub.status.idle": "2024-05-08T19:29:04.955251Z", + "shell.execute_reply": "2024-05-08T19:29:04.954618Z" } }, "outputs": [ @@ -759,7 +759,7 @@ }, { "cell_type": "markdown", - "id": "b9dd96a5", + "id": "b723d969", "metadata": {}, "source": [ "`SpatialTemplate_2D` is designed to read in a user-provided fits file with an image (in WCS coordinates) using the `load_file()` function. The function value will be 0 outside the WCS and equal to the value of the pixel containing the given coordinates inside the WCS. The provided template should be in units of 1/deg2 and normalized so that its integral is 1. If that is not the case, the normalization parameter `K` may be set accordingly so that the overall function is normalized as expected." @@ -768,13 +768,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "969ec382", + "id": "ca9d49cf", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.425005Z", - "iopub.status.busy": "2024-05-08T19:19:34.424906Z", - "iopub.status.idle": "2024-05-08T19:19:34.461860Z", - "shell.execute_reply": "2024-05-08T19:19:34.461516Z" + "iopub.execute_input": "2024-05-08T19:29:04.958553Z", + "iopub.status.busy": "2024-05-08T19:29:04.958315Z", + "iopub.status.idle": "2024-05-08T19:29:04.991360Z", + "shell.execute_reply": "2024-05-08T19:29:04.990558Z" } }, "outputs": [ @@ -786,7 +786,7 @@ "\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m 2D template read from spitzer_example_image.fits is normalized to nan \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=553942;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py\u001b\\\u001b[2mfunctions_2D.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=254535;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py#747\u001b\\\u001b[2m747\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m 2D template read from spitzer_example_image.fits is normalized to nan \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=72722;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py\u001b\\\u001b[2mfunctions_2D.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=150554;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py#747\u001b\\\u001b[2m747\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251m(\u001b[0m\u001b[1;38;5;251mexpected: \u001b[0m\u001b[1;37m1\u001b[0m\u001b[1;38;5;251m)\u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -976,7 +976,7 @@ }, { "cell_type": "markdown", - "id": "0501492c", + "id": "54002823", "metadata": {}, "source": [ "## \"Calling\" extended sources\n", @@ -987,13 +987,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "32f4fbb4", + "id": "e3f65a37", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.463924Z", - "iopub.status.busy": "2024-05-08T19:19:34.463783Z", - "iopub.status.idle": "2024-05-08T19:19:34.607296Z", - "shell.execute_reply": "2024-05-08T19:19:34.606859Z" + "iopub.execute_input": "2024-05-08T19:29:04.994988Z", + "iopub.status.busy": "2024-05-08T19:29:04.994776Z", + "iopub.status.idle": "2024-05-08T19:29:05.167977Z", + "shell.execute_reply": "2024-05-08T19:29:05.166628Z" } }, "outputs": [ @@ -1001,7 +1001,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Whole source:\n", + "Whole source:\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "[[1.16105524e+04 1.13462640e+02 1.10879915e+00]\n", " [0.00000000e+00 0.00000000e+00 0.00000000e+00]] 1 / (keV s cm2 deg2)\n", "\n", @@ -1046,7 +1052,7 @@ }, { "cell_type": "markdown", - "id": "16be4e21", + "id": "8bbc66fb", "metadata": {}, "source": [ "## Caveats and gotchas\n", @@ -1067,13 +1073,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "2c1bb889", + "id": "8505919d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.609294Z", - "iopub.status.busy": "2024-05-08T19:19:34.609187Z", - "iopub.status.idle": "2024-05-08T19:19:34.612424Z", - "shell.execute_reply": "2024-05-08T19:19:34.612027Z" + "iopub.execute_input": "2024-05-08T19:29:05.171320Z", + "iopub.status.busy": "2024-05-08T19:29:05.171080Z", + "iopub.status.idle": "2024-05-08T19:29:05.175299Z", + "shell.execute_reply": "2024-05-08T19:29:05.174503Z" } }, "outputs": [ @@ -1097,7 +1103,7 @@ }, { "cell_type": "markdown", - "id": "14717623", + "id": "8cb4455f", "metadata": {}, "source": [ "## Energy-Dependent Morphology\n", @@ -1111,7 +1117,7 @@ { "cell_type": "code", "execution_count": null, - "id": "20f6bbc6", + "id": "c82ddc61", "metadata": {}, "outputs": [], "source": [] diff --git a/_sources/notebooks/Functions_tutorial.ipynb.txt b/_sources/notebooks/Functions_tutorial.ipynb.txt index 4737f96c..5147d4e4 100644 --- a/_sources/notebooks/Functions_tutorial.ipynb.txt +++ b/_sources/notebooks/Functions_tutorial.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "c68b7c6b", + "id": "232bc28c", "metadata": {}, "source": [ "# Functions tutorial\n", @@ -15,13 +15,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "a5ca4c59", + "id": "279b82ac", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:35.502575Z", - "iopub.status.busy": "2024-05-08T19:19:35.501979Z", - "iopub.status.idle": "2024-05-08T19:19:36.651512Z", - "shell.execute_reply": "2024-05-08T19:19:36.650989Z" + "iopub.execute_input": "2024-05-08T19:29:06.192492Z", + "iopub.status.busy": "2024-05-08T19:29:06.191900Z", + "iopub.status.idle": "2024-05-08T19:29:07.603973Z", + "shell.execute_reply": "2024-05-08T19:29:07.603092Z" } }, "outputs": [], @@ -33,20 +33,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "ec43e263", + "id": "cd40521c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.653995Z", - "iopub.status.busy": "2024-05-08T19:19:36.653728Z", - "iopub.status.idle": "2024-05-08T19:19:36.658733Z", - "shell.execute_reply": "2024-05-08T19:19:36.658352Z" + "iopub.execute_input": "2024-05-08T19:29:07.607711Z", + "iopub.status.busy": "2024-05-08T19:29:07.607219Z", + "iopub.status.idle": "2024-05-08T19:29:07.620507Z", + "shell.execute_reply": "2024-05-08T19:29:07.619784Z" } }, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", "\n", "\n", "\n", @@ -110,7 +110,7 @@ }, { "cell_type": "markdown", - "id": "cad40aad", + "id": "c35341fe", "metadata": {}, "source": [ "If you need more info about a function, you can obtain it by using:" @@ -119,13 +119,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "0436e5a9", + "id": "33422677", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.660713Z", - "iopub.status.busy": "2024-05-08T19:19:36.660572Z", - "iopub.status.idle": "2024-05-08T19:19:36.663098Z", - "shell.execute_reply": "2024-05-08T19:19:36.662756Z" + "iopub.execute_input": "2024-05-08T19:29:07.624102Z", + "iopub.status.busy": "2024-05-08T19:29:07.623824Z", + "iopub.status.idle": "2024-05-08T19:29:07.634360Z", + "shell.execute_reply": "2024-05-08T19:29:07.633684Z" } }, "outputs": [ @@ -230,7 +230,7 @@ }, { "cell_type": "markdown", - "id": "7ed944ea", + "id": "18b8a684", "metadata": {}, "source": [ "Note that you don’t need to create an instance in order to call the info() method." @@ -238,7 +238,7 @@ }, { "cell_type": "markdown", - "id": "788c524e", + "id": "26969c7f", "metadata": {}, "source": [ "## Creating functions\n", @@ -249,13 +249,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "9052c898", + "id": "c6a8b9de", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.665033Z", - "iopub.status.busy": "2024-05-08T19:19:36.664902Z", - "iopub.status.idle": "2024-05-08T19:19:36.667009Z", - "shell.execute_reply": "2024-05-08T19:19:36.666656Z" + "iopub.execute_input": "2024-05-08T19:29:07.637807Z", + "iopub.status.busy": "2024-05-08T19:29:07.637590Z", + "iopub.status.idle": "2024-05-08T19:29:07.647429Z", + "shell.execute_reply": "2024-05-08T19:29:07.646675Z" } }, "outputs": [], @@ -265,7 +265,7 @@ }, { "cell_type": "markdown", - "id": "4d9bc97c", + "id": "6fdb9e4f", "metadata": {}, "source": [ "or we can specify on construction specific values for the parameters:" @@ -274,13 +274,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "b1d20992", + "id": "d314e0a6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.668908Z", - "iopub.status.busy": "2024-05-08T19:19:36.668778Z", - "iopub.status.idle": "2024-05-08T19:19:36.677073Z", - "shell.execute_reply": "2024-05-08T19:19:36.676724Z" + "iopub.execute_input": "2024-05-08T19:29:07.650629Z", + "iopub.status.busy": "2024-05-08T19:29:07.650379Z", + "iopub.status.idle": "2024-05-08T19:29:07.654204Z", + "shell.execute_reply": "2024-05-08T19:29:07.653321Z" } }, "outputs": [], @@ -290,7 +290,7 @@ }, { "cell_type": "markdown", - "id": "3f10d222", + "id": "a17acd41", "metadata": {}, "source": [ "If you don’t remember the names of the parameters just call the .info() method as in powerlaw.info() as demonstrated above." @@ -298,7 +298,7 @@ }, { "cell_type": "markdown", - "id": "26abc79d", + "id": "f4379b01", "metadata": {}, "source": [ "## Getting information about an instance\n", @@ -309,13 +309,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "cb980163", + "id": "dac18087", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.679000Z", - "iopub.status.busy": "2024-05-08T19:19:36.678903Z", - "iopub.status.idle": "2024-05-08T19:19:36.688929Z", - "shell.execute_reply": "2024-05-08T19:19:36.688577Z" + "iopub.execute_input": "2024-05-08T19:29:07.657351Z", + "iopub.status.busy": "2024-05-08T19:29:07.657139Z", + "iopub.status.idle": "2024-05-08T19:29:07.662529Z", + "shell.execute_reply": "2024-05-08T19:29:07.661760Z" } }, "outputs": [ @@ -449,7 +449,7 @@ }, { "cell_type": "markdown", - "id": "2b6f663e", + "id": "cd34f783", "metadata": {}, "source": [ "It is also possible to get the text-only representation by simply printing the object like this:" @@ -458,13 +458,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "ba96a13b", + "id": "f2ba8a37", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.690854Z", - "iopub.status.busy": "2024-05-08T19:19:36.690758Z", - "iopub.status.idle": "2024-05-08T19:19:36.699898Z", - "shell.execute_reply": "2024-05-08T19:19:36.699529Z" + "iopub.execute_input": "2024-05-08T19:29:07.666704Z", + "iopub.status.busy": "2024-05-08T19:29:07.666438Z", + "iopub.status.idle": "2024-05-08T19:29:07.677005Z", + "shell.execute_reply": "2024-05-08T19:29:07.676320Z" } }, "outputs": [ @@ -512,7 +512,7 @@ }, { "cell_type": "markdown", - "id": "f20c18d4", + "id": "b0f33bc1", "metadata": {}, "source": [ "
\n", @@ -525,7 +525,7 @@ }, { "cell_type": "markdown", - "id": "b8e43aed", + "id": "19aac171", "metadata": {}, "source": [ "## Modifying parameters\n", @@ -536,13 +536,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "04467bc6", + "id": "f36ed241", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.701846Z", - "iopub.status.busy": "2024-05-08T19:19:36.701745Z", - "iopub.status.idle": "2024-05-08T19:19:36.713228Z", - "shell.execute_reply": "2024-05-08T19:19:36.712865Z" + "iopub.execute_input": "2024-05-08T19:29:07.680244Z", + "iopub.status.busy": "2024-05-08T19:29:07.679966Z", + "iopub.status.idle": "2024-05-08T19:29:07.689706Z", + "shell.execute_reply": "2024-05-08T19:29:07.689031Z" } }, "outputs": [ @@ -554,7 +554,7 @@ "\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m We have set the min_value of Powerlaw.K to \u001b[0m\u001b[1;37m1e-99\u001b[0m\u001b[1;38;5;251m because there was a postive \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=169060;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py\u001b\\\u001b[2mparameter.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=921307;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py#704\u001b\\\u001b[2m704\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m We have set the min_value of Powerlaw.K to \u001b[0m\u001b[1;37m1e-99\u001b[0m\u001b[1;38;5;251m because there was a postive \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=492791;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py\u001b\\\u001b[2mparameter.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=347444;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py#704\u001b\\\u001b[2m704\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mtransform \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -613,7 +613,7 @@ }, { "cell_type": "markdown", - "id": "bb904b7e", + "id": "b408fb58", "metadata": {}, "source": [ "## Using physical units\n", @@ -624,13 +624,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "c73b03dd", + "id": "e1ebd33d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.715193Z", - "iopub.status.busy": "2024-05-08T19:19:36.715096Z", - "iopub.status.idle": "2024-05-08T19:19:36.717993Z", - "shell.execute_reply": "2024-05-08T19:19:36.717659Z" + "iopub.execute_input": "2024-05-08T19:29:07.693221Z", + "iopub.status.busy": "2024-05-08T19:29:07.692981Z", + "iopub.status.idle": "2024-05-08T19:29:07.697440Z", + "shell.execute_reply": "2024-05-08T19:29:07.696247Z" } }, "outputs": [], @@ -642,7 +642,7 @@ }, { "cell_type": "markdown", - "id": "6c28cdb0", + "id": "a639079b", "metadata": {}, "source": [ "Now we can see the units" @@ -651,13 +651,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "d7d4fd35", + "id": "61989a47", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.719926Z", - "iopub.status.busy": "2024-05-08T19:19:36.719787Z", - "iopub.status.idle": "2024-05-08T19:19:36.729543Z", - "shell.execute_reply": "2024-05-08T19:19:36.729161Z" + "iopub.execute_input": "2024-05-08T19:29:07.700524Z", + "iopub.status.busy": "2024-05-08T19:29:07.700284Z", + "iopub.status.idle": "2024-05-08T19:29:07.712281Z", + "shell.execute_reply": "2024-05-08T19:29:07.711650Z" } }, "outputs": [ @@ -792,13 +792,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "4a13372c", + "id": "a0148fde", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.731391Z", - "iopub.status.busy": "2024-05-08T19:19:36.731294Z", - "iopub.status.idle": "2024-05-08T19:19:36.740263Z", - "shell.execute_reply": "2024-05-08T19:19:36.739923Z" + "iopub.execute_input": "2024-05-08T19:29:07.715444Z", + "iopub.status.busy": "2024-05-08T19:29:07.715158Z", + "iopub.status.idle": "2024-05-08T19:29:07.719812Z", + "shell.execute_reply": "2024-05-08T19:29:07.718978Z" } }, "outputs": [ @@ -823,13 +823,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "33640e06", + "id": "35ccb9cd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.742103Z", - "iopub.status.busy": "2024-05-08T19:19:36.742006Z", - "iopub.status.idle": "2024-05-08T19:19:36.750601Z", - "shell.execute_reply": "2024-05-08T19:19:36.750263Z" + "iopub.execute_input": "2024-05-08T19:29:07.723132Z", + "iopub.status.busy": "2024-05-08T19:29:07.722907Z", + "iopub.status.idle": "2024-05-08T19:29:07.732808Z", + "shell.execute_reply": "2024-05-08T19:29:07.731947Z" } }, "outputs": [ @@ -854,13 +854,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "f3fa7926", + "id": "6941b272", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.752519Z", - "iopub.status.busy": "2024-05-08T19:19:36.752414Z", - "iopub.status.idle": "2024-05-08T19:19:36.762023Z", - "shell.execute_reply": "2024-05-08T19:19:36.761615Z" + "iopub.execute_input": "2024-05-08T19:29:07.736237Z", + "iopub.status.busy": "2024-05-08T19:29:07.736009Z", + "iopub.status.idle": "2024-05-08T19:29:07.740626Z", + "shell.execute_reply": "2024-05-08T19:29:07.739864Z" } }, "outputs": [ @@ -893,7 +893,7 @@ }, { "cell_type": "markdown", - "id": "fe141e92", + "id": "3cbecf7d", "metadata": {}, "source": [ "We see that astromodels does the unit conversion for us in the background!\n", @@ -904,13 +904,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "1d00f6c0", + "id": "d1678f72", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.764075Z", - "iopub.status.busy": "2024-05-08T19:19:36.763961Z", - "iopub.status.idle": "2024-05-08T19:19:41.178727Z", - "shell.execute_reply": "2024-05-08T19:19:41.178279Z" + "iopub.execute_input": "2024-05-08T19:29:07.744455Z", + "iopub.status.busy": "2024-05-08T19:29:07.744220Z", + "iopub.status.idle": "2024-05-08T19:29:12.360886Z", + "shell.execute_reply": "2024-05-08T19:29:12.360196Z" } }, "outputs": [ @@ -918,7 +918,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "5.44 µs ± 169 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" + "5.67 µs ± 41.8 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" ] } ], @@ -929,13 +929,13 @@ { "cell_type": "code", "execution_count": 15, - "id": "8e8b125a", + "id": "cb1927e0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:41.180772Z", - "iopub.status.busy": "2024-05-08T19:19:41.180668Z", - "iopub.status.idle": "2024-05-08T19:19:48.335055Z", - "shell.execute_reply": "2024-05-08T19:19:48.334684Z" + "iopub.execute_input": "2024-05-08T19:29:12.364008Z", + "iopub.status.busy": "2024-05-08T19:29:12.363786Z", + "iopub.status.idle": "2024-05-08T19:29:20.159706Z", + "shell.execute_reply": "2024-05-08T19:29:20.158520Z" } }, "outputs": [ @@ -943,7 +943,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "88.1 µs ± 1.03 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + "96 µs ± 634 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" ] } ], @@ -953,7 +953,7 @@ }, { "cell_type": "markdown", - "id": "2f993eb8", + "id": "a06f3021", "metadata": {}, "source": [ "As you can see using **astropy.units requires about 10x more than using a plain assignment**. In an interactive analysis you are unlikely to notice the difference, but if you use units in a loop or during a fit this slow-down will add up an become very noticeable. **Note that this is a feature of astropy.units, not of astromodels.**" @@ -961,7 +961,7 @@ }, { "cell_type": "markdown", - "id": "d03692a1", + "id": "b3332720", "metadata": {}, "source": [ "## Composing functions\n", @@ -972,13 +972,13 @@ { "cell_type": "code", "execution_count": 16, - "id": "13548a11", + "id": "77e739ae", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.337194Z", - "iopub.status.busy": "2024-05-08T19:19:48.337089Z", - "iopub.status.idle": "2024-05-08T19:19:48.345796Z", - "shell.execute_reply": "2024-05-08T19:19:48.345427Z" + "iopub.execute_input": "2024-05-08T19:29:20.165760Z", + "iopub.status.busy": "2024-05-08T19:29:20.165388Z", + "iopub.status.idle": "2024-05-08T19:29:20.175292Z", + "shell.execute_reply": "2024-05-08T19:29:20.173805Z" } }, "outputs": [ @@ -1000,7 +1000,7 @@ }, { "cell_type": "markdown", - "id": "05924bc0", + "id": "bc0a4734", "metadata": {}, "source": [ "These expressions can be as complex as needed. For example:" @@ -1009,13 +1009,13 @@ { "cell_type": "code", "execution_count": 17, - "id": "c3acf2ed", + "id": "f88f57b6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.347735Z", - "iopub.status.busy": "2024-05-08T19:19:48.347631Z", - "iopub.status.idle": "2024-05-08T19:19:48.358020Z", - "shell.execute_reply": "2024-05-08T19:19:48.357652Z" + "iopub.execute_input": "2024-05-08T19:29:20.179190Z", + "iopub.status.busy": "2024-05-08T19:29:20.178922Z", + "iopub.status.idle": "2024-05-08T19:29:20.185637Z", + "shell.execute_reply": "2024-05-08T19:29:20.184984Z" } }, "outputs": [ @@ -1035,7 +1035,7 @@ }, { "cell_type": "markdown", - "id": "242ae1b9", + "id": "a13c08de", "metadata": {}, "source": [ "The numbers between ```{}``` enumerate the unique functions which constitute a composite function. This is useful because composite functions can be created starting from pre-existing instances of functions, in which case the same instance can be used more than once. For example:" @@ -1044,13 +1044,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "3bb8dd81", + "id": "21c511d9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.359984Z", - "iopub.status.busy": "2024-05-08T19:19:48.359885Z", - "iopub.status.idle": "2024-05-08T19:19:48.363457Z", - "shell.execute_reply": "2024-05-08T19:19:48.363089Z" + "iopub.execute_input": "2024-05-08T19:29:20.189199Z", + "iopub.status.busy": "2024-05-08T19:29:20.188920Z", + "iopub.status.idle": "2024-05-08T19:29:20.194652Z", + "shell.execute_reply": "2024-05-08T19:29:20.193952Z" } }, "outputs": [ @@ -1073,7 +1073,7 @@ }, { "cell_type": "markdown", - "id": "f7d53951", + "id": "6b89d0ab", "metadata": {}, "source": [ "In this case the same instance of a power law has been used twice. Changing the value of the parameters for “a_powerlaw” will affect also the second part of the expression. Instead, by doing this:" @@ -1082,13 +1082,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "3dc531cd", + "id": "4828223f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.365359Z", - "iopub.status.busy": "2024-05-08T19:19:48.365227Z", - "iopub.status.idle": "2024-05-08T19:19:48.375271Z", - "shell.execute_reply": "2024-05-08T19:19:48.374885Z" + "iopub.execute_input": "2024-05-08T19:29:20.197926Z", + "iopub.status.busy": "2024-05-08T19:29:20.197711Z", + "iopub.status.idle": "2024-05-08T19:29:20.209964Z", + "shell.execute_reply": "2024-05-08T19:29:20.209252Z" } }, "outputs": [ @@ -1108,7 +1108,7 @@ }, { "cell_type": "markdown", - "id": "30de0493", + "id": "3c0fbca2", "metadata": {}, "source": [ "we will end up with two independent sets of parameters for the two power laws. The difference can be seen immediately from the number of parameters of the two composite functions:" @@ -1117,13 +1117,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "0eebcbd1", + "id": "05d62718", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.377156Z", - "iopub.status.busy": "2024-05-08T19:19:48.377060Z", - "iopub.status.idle": "2024-05-08T19:19:48.385179Z", - "shell.execute_reply": "2024-05-08T19:19:48.384837Z" + "iopub.execute_input": "2024-05-08T19:29:20.213378Z", + "iopub.status.busy": "2024-05-08T19:29:20.213158Z", + "iopub.status.idle": "2024-05-08T19:29:20.216368Z", + "shell.execute_reply": "2024-05-08T19:29:20.215708Z" } }, "outputs": [ @@ -1143,7 +1143,7 @@ }, { "cell_type": "markdown", - "id": "d3f320ca", + "id": "5a3f2363", "metadata": {}, "source": [ "## Creating custom functions\n", @@ -1156,13 +1156,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "3f91e4f3", + "id": "47a3dc72", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.387091Z", - "iopub.status.busy": "2024-05-08T19:19:48.386988Z", - "iopub.status.idle": "2024-05-08T19:19:48.394913Z", - "shell.execute_reply": "2024-05-08T19:19:48.394558Z" + "iopub.execute_input": "2024-05-08T19:29:20.220250Z", + "iopub.status.busy": "2024-05-08T19:29:20.220032Z", + "iopub.status.idle": "2024-05-08T19:29:20.222964Z", + "shell.execute_reply": "2024-05-08T19:29:20.222207Z" } }, "outputs": [], @@ -1172,7 +1172,7 @@ }, { "cell_type": "markdown", - "id": "19038893", + "id": "57c47adf", "metadata": {}, "source": [ "```Function1D``` is the base class for 1D spectral models and ```FunctionMeta``` is a python meta type class that ensures all the needed parts of a model are in the class as well as making the class function as it should.\n", @@ -1238,7 +1238,7 @@ }, { "cell_type": "markdown", - "id": "d5425b53", + "id": "3d1b23e9", "metadata": {}, "source": [ "### The docstring\n", @@ -1281,13 +1281,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "45c48a93", + "id": "e8b2f676", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.396791Z", - "iopub.status.busy": "2024-05-08T19:19:48.396694Z", - "iopub.status.idle": "2024-05-08T19:19:48.404574Z", - "shell.execute_reply": "2024-05-08T19:19:48.404193Z" + "iopub.execute_input": "2024-05-08T19:29:20.226634Z", + "iopub.status.busy": "2024-05-08T19:29:20.226383Z", + "iopub.status.idle": "2024-05-08T19:29:20.229527Z", + "shell.execute_reply": "2024-05-08T19:29:20.228826Z" } }, "outputs": [], @@ -1303,13 +1303,13 @@ { "cell_type": "code", "execution_count": 23, - "id": "66b36e83", + "id": "b84ee696", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.406469Z", - "iopub.status.busy": "2024-05-08T19:19:48.406360Z", - "iopub.status.idle": "2024-05-08T19:19:48.409000Z", - "shell.execute_reply": "2024-05-08T19:19:48.408628Z" + "iopub.execute_input": "2024-05-08T19:29:20.232940Z", + "iopub.status.busy": "2024-05-08T19:29:20.232699Z", + "iopub.status.idle": "2024-05-08T19:29:20.237696Z", + "shell.execute_reply": "2024-05-08T19:29:20.236174Z" } }, "outputs": [ @@ -1330,7 +1330,7 @@ }, { "cell_type": "markdown", - "id": "c4cb64b4", + "id": "82efb9f5", "metadata": {}, "source": [ "Now we will define a astromodels function that will handle both the unit and non-unit call." @@ -1339,13 +1339,13 @@ { "cell_type": "code", "execution_count": 24, - "id": "42843f10", + "id": "b125a1f8", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.411084Z", - "iopub.status.busy": "2024-05-08T19:19:48.410947Z", - "iopub.status.idle": "2024-05-08T19:19:48.421348Z", - "shell.execute_reply": "2024-05-08T19:19:48.420975Z" + "iopub.execute_input": "2024-05-08T19:29:20.240992Z", + "iopub.status.busy": "2024-05-08T19:29:20.240745Z", + "iopub.status.idle": "2024-05-08T19:29:20.246558Z", + "shell.execute_reply": "2024-05-08T19:29:20.245767Z" } }, "outputs": [], @@ -1403,7 +1403,7 @@ }, { "cell_type": "markdown", - "id": "dfe78c8f", + "id": "e7e5157b", "metadata": {}, "source": [ "We can check the unit and non-unit call by making a point source and evaluating it" @@ -1412,13 +1412,13 @@ { "cell_type": "code", "execution_count": 25, - "id": "6c01d5a9", + "id": "a94401ab", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.423375Z", - "iopub.status.busy": "2024-05-08T19:19:48.423270Z", - "iopub.status.idle": "2024-05-08T19:19:48.866972Z", - "shell.execute_reply": "2024-05-08T19:19:48.866558Z" + "iopub.execute_input": "2024-05-08T19:29:20.250025Z", + "iopub.status.busy": "2024-05-08T19:29:20.249815Z", + "iopub.status.idle": "2024-05-08T19:29:20.785518Z", + "shell.execute_reply": "2024-05-08T19:29:20.784469Z" } }, "outputs": [ @@ -1456,7 +1456,7 @@ }, { "cell_type": "markdown", - "id": "fa777831", + "id": "0e1ab55d", "metadata": {}, "source": [ "## Advanced functions\n", @@ -1470,13 +1470,13 @@ { "cell_type": "code", "execution_count": 26, - "id": "3c9d21fd", + "id": "af8d33ce", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.869021Z", - "iopub.status.busy": "2024-05-08T19:19:48.868912Z", - "iopub.status.idle": "2024-05-08T19:19:48.879383Z", - "shell.execute_reply": "2024-05-08T19:19:48.879022Z" + "iopub.execute_input": "2024-05-08T19:29:20.789169Z", + "iopub.status.busy": "2024-05-08T19:29:20.788895Z", + "iopub.status.idle": "2024-05-08T19:29:20.795023Z", + "shell.execute_reply": "2024-05-08T19:29:20.794195Z" } }, "outputs": [], @@ -1530,7 +1530,7 @@ }, { "cell_type": "markdown", - "id": "3377c8fa", + "id": "24500282", "metadata": {}, "source": [ "We have added a text parameter called switch and specified the allowed values that it can take on. We can of course allow it to take on any value. Additionally, we have specified a function to call whenever we change the value. This allows use to do things like read in a table from a dictionary or load a file, etc. Properties can be set in the constructor of a function. They behave just like parameters except that they do not participate in the function call. Thus, their state is saved whenever you serialize the model to disk. " @@ -1539,13 +1539,13 @@ { "cell_type": "code", "execution_count": 27, - "id": "f9273741", + "id": "5952cb24", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.881326Z", - "iopub.status.busy": "2024-05-08T19:19:48.881221Z", - "iopub.status.idle": "2024-05-08T19:19:48.883639Z", - "shell.execute_reply": "2024-05-08T19:19:48.883258Z" + "iopub.execute_input": "2024-05-08T19:29:20.799040Z", + "iopub.status.busy": "2024-05-08T19:29:20.798826Z", + "iopub.status.idle": "2024-05-08T19:29:20.802394Z", + "shell.execute_reply": "2024-05-08T19:29:20.801485Z" }, "lines_to_next_cell": 2 }, @@ -1569,7 +1569,7 @@ }, { "cell_type": "markdown", - "id": "1d87f5ab", + "id": "86f6b97e", "metadata": {}, "source": [ "In the docstring, one can also specify ```defer: True``` which allows you to not set a value until instancing an object. This is useful if you have a model that reads in file at runtime, but the file name is not known until then. Check out the source code of astromodels to see how properties can be used to expand the functionality of your custom models. For example, the absorption models such as ```TbAbs``` take advantage of this to set their abundance tables.\n", @@ -1582,13 +1582,13 @@ { "cell_type": "code", "execution_count": 28, - "id": "8dbf3c4f", + "id": "825bb018", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.885662Z", - "iopub.status.busy": "2024-05-08T19:19:48.885530Z", - "iopub.status.idle": "2024-05-08T19:19:48.889403Z", - "shell.execute_reply": "2024-05-08T19:19:48.889000Z" + "iopub.execute_input": "2024-05-08T19:29:20.806178Z", + "iopub.status.busy": "2024-05-08T19:29:20.805960Z", + "iopub.status.idle": "2024-05-08T19:29:20.811393Z", + "shell.execute_reply": "2024-05-08T19:29:20.810652Z" } }, "outputs": [], @@ -1658,7 +1658,7 @@ }, { "cell_type": "markdown", - "id": "1661826e", + "id": "761e4dbf", "metadata": {}, "source": [ "With this function, whenever we set the linked_function property to another astromodels function, its call will return that function redshifted." @@ -1667,13 +1667,13 @@ { "cell_type": "code", "execution_count": 29, - "id": "fbc1eb2b", + "id": "6f655e09", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.891345Z", - "iopub.status.busy": "2024-05-08T19:19:48.891250Z", - "iopub.status.idle": "2024-05-08T19:19:49.001845Z", - "shell.execute_reply": "2024-05-08T19:19:49.001453Z" + "iopub.execute_input": "2024-05-08T19:29:20.814753Z", + "iopub.status.busy": "2024-05-08T19:29:20.814508Z", + "iopub.status.idle": "2024-05-08T19:29:20.944815Z", + "shell.execute_reply": "2024-05-08T19:29:20.943560Z" }, "lines_to_next_cell": 2 }, @@ -1701,7 +1701,7 @@ }, { "cell_type": "markdown", - "id": "d891af41", + "id": "38649a4b", "metadata": {}, "source": [ "We have added a lot of syntax sugar to make it easier for users to handle the function, but every function in astromodels has the members ```f.link_external_function(func, 'internal_name')``` and ```f.unlink_external_function('internal_name')```. You can link as many functions as needed and they are accessed via an internal dictionary ```self._extranal_functions```. As long as all functions used are part of the model, all the linking is saved when a model is saved to disk allowing you to restore all the complexity you built. " diff --git a/_sources/notebooks/Gamma.ipynb.txt b/_sources/notebooks/Gamma.ipynb.txt index 8d133b13..65cb19ca 100644 --- a/_sources/notebooks/Gamma.ipynb.txt +++ b/_sources/notebooks/Gamma.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "4b17002e", + "id": "55b949a5", "metadata": { "papermill": { - "duration": 0.0085, - "end_time": "2024-05-08T19:22:57.680598", + "duration": 0.006471, + "end_time": "2024-05-08T19:33:04.844456", "exception": false, - "start_time": "2024-05-08T19:22:57.672098", + "start_time": "2024-05-08T19:33:04.837985", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "9acf5757", + "id": "4d1b16d1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:57.693590Z", - "iopub.status.busy": "2024-05-08T19:22:57.692870Z", - "iopub.status.idle": "2024-05-08T19:22:59.106281Z", - "shell.execute_reply": "2024-05-08T19:22:59.105651Z" + "iopub.execute_input": "2024-05-08T19:33:04.856633Z", + "iopub.status.busy": "2024-05-08T19:33:04.855918Z", + "iopub.status.idle": "2024-05-08T19:33:06.512362Z", + "shell.execute_reply": "2024-05-08T19:33:06.511604Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.421726, - "end_time": "2024-05-08T19:22:59.108121", + "duration": 1.666416, + "end_time": "2024-05-08T19:33:06.514325", "exception": false, - "start_time": "2024-05-08T19:22:57.686395", + "start_time": "2024-05-08T19:33:04.847909", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "b7d3d09d", + "id": "8a6b2c56", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.111615Z", - "iopub.status.busy": "2024-05-08T19:22:59.111231Z", - "iopub.status.idle": "2024-05-08T19:22:59.119774Z", - "shell.execute_reply": "2024-05-08T19:22:59.119302Z" + "iopub.execute_input": "2024-05-08T19:33:06.517936Z", + "iopub.status.busy": "2024-05-08T19:33:06.517537Z", + "iopub.status.idle": "2024-05-08T19:33:06.525208Z", + "shell.execute_reply": "2024-05-08T19:33:06.524706Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011849, - "end_time": "2024-05-08T19:22:59.121297", + "duration": 0.011071, + "end_time": "2024-05-08T19:33:06.526775", "exception": false, - "start_time": "2024-05-08T19:22:59.109448", + "start_time": "2024-05-08T19:33:06.515704", "status": "completed" }, "tags": [ @@ -90,19 +90,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "3683dfd7", + "id": "416c021c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.124510Z", - "iopub.status.busy": "2024-05-08T19:22:59.124311Z", - "iopub.status.idle": "2024-05-08T19:22:59.126478Z", - "shell.execute_reply": "2024-05-08T19:22:59.126046Z" + "iopub.execute_input": "2024-05-08T19:33:06.529985Z", + "iopub.status.busy": "2024-05-08T19:33:06.529795Z", + "iopub.status.idle": "2024-05-08T19:33:06.538165Z", + "shell.execute_reply": "2024-05-08T19:33:06.537579Z" }, "papermill": { - "duration": 0.005278, - "end_time": "2024-05-08T19:22:59.127906", + "duration": 0.012404, + "end_time": "2024-05-08T19:33:06.540453", "exception": false, - "start_time": "2024-05-08T19:22:59.122628", + "start_time": "2024-05-08T19:33:06.528049", "status": "completed" }, "tags": [ @@ -119,21 +119,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "6e8d14cf", + "id": "a1edcce6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.130960Z", - "iopub.status.busy": "2024-05-08T19:22:59.130780Z", - "iopub.status.idle": "2024-05-08T19:22:59.134600Z", - "shell.execute_reply": "2024-05-08T19:22:59.133991Z" + "iopub.execute_input": "2024-05-08T19:33:06.544231Z", + "iopub.status.busy": "2024-05-08T19:33:06.544025Z", + "iopub.status.idle": "2024-05-08T19:33:06.553630Z", + "shell.execute_reply": "2024-05-08T19:33:06.553033Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.0071, - "end_time": "2024-05-08T19:22:59.136182", + "duration": 0.013183, + "end_time": "2024-05-08T19:33:06.555241", "exception": false, - "start_time": "2024-05-08T19:22:59.129082", + "start_time": "2024-05-08T19:33:06.542058", "status": "completed" }, "tags": [] @@ -160,14 +160,14 @@ }, { "cell_type": "markdown", - "id": "4e79894f", + "id": "9f5ac2a9", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.00122, - "end_time": "2024-05-08T19:22:59.138680", + "duration": 0.001095, + "end_time": "2024-05-08T19:33:06.557689", "exception": false, - "start_time": "2024-05-08T19:22:59.137460", + "start_time": "2024-05-08T19:33:06.556594", "status": "completed" }, "tags": [] @@ -179,19 +179,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "0a02b96d", + "id": "14d2d32c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.142065Z", - "iopub.status.busy": "2024-05-08T19:22:59.141792Z", - "iopub.status.idle": "2024-05-08T19:22:59.151103Z", - "shell.execute_reply": "2024-05-08T19:22:59.150410Z" + "iopub.execute_input": "2024-05-08T19:33:06.560877Z", + "iopub.status.busy": "2024-05-08T19:33:06.560673Z", + "iopub.status.idle": "2024-05-08T19:33:06.565376Z", + "shell.execute_reply": "2024-05-08T19:33:06.564958Z" }, "papermill": { - "duration": 0.013196, - "end_time": "2024-05-08T19:22:59.152962", + "duration": 0.008152, + "end_time": "2024-05-08T19:33:06.566882", "exception": false, - "start_time": "2024-05-08T19:22:59.139766", + "start_time": "2024-05-08T19:33:06.558730", "status": "completed" }, "tags": [] @@ -295,13 +295,13 @@ }, { "cell_type": "markdown", - "id": "fbd0e271", + "id": "1ee5e1ad", "metadata": { "papermill": { - "duration": 0.00128, - "end_time": "2024-05-08T19:22:59.155712", + "duration": 0.001386, + "end_time": "2024-05-08T19:33:06.569719", "exception": false, - "start_time": "2024-05-08T19:22:59.154432", + "start_time": "2024-05-08T19:33:06.568333", "status": "completed" }, "tags": [] @@ -317,19 +317,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "c5b2f974", + "id": "88c745cc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.159307Z", - "iopub.status.busy": "2024-05-08T19:22:59.159119Z", - "iopub.status.idle": "2024-05-08T19:22:59.283549Z", - "shell.execute_reply": "2024-05-08T19:22:59.282474Z" + "iopub.execute_input": "2024-05-08T19:33:06.573138Z", + "iopub.status.busy": "2024-05-08T19:33:06.572928Z", + "iopub.status.idle": "2024-05-08T19:33:06.702851Z", + "shell.execute_reply": "2024-05-08T19:33:06.701919Z" }, "papermill": { - "duration": 0.130302, - "end_time": "2024-05-08T19:22:59.287390", + "duration": 0.133434, + "end_time": "2024-05-08T19:33:06.704401", "exception": false, - "start_time": "2024-05-08T19:22:59.157088", + "start_time": "2024-05-08T19:33:06.570967", "status": "completed" }, "tags": [ @@ -370,13 +370,13 @@ }, { "cell_type": "markdown", - "id": "9b14d974", + "id": "266d686e", "metadata": { "papermill": { - "duration": 0.002426, - "end_time": "2024-05-08T19:22:59.292302", + "duration": 0.001589, + "end_time": "2024-05-08T19:33:06.707719", "exception": false, - "start_time": "2024-05-08T19:22:59.289876", + "start_time": "2024-05-08T19:33:06.706130", "status": "completed" }, "tags": [] @@ -390,19 +390,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "57e1552e", + "id": "4a87fe0a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.296277Z", - "iopub.status.busy": "2024-05-08T19:22:59.296091Z", - "iopub.status.idle": "2024-05-08T19:22:59.683904Z", - "shell.execute_reply": "2024-05-08T19:22:59.683380Z" + "iopub.execute_input": "2024-05-08T19:33:06.711842Z", + "iopub.status.busy": "2024-05-08T19:33:06.711402Z", + "iopub.status.idle": "2024-05-08T19:33:07.125795Z", + "shell.execute_reply": "2024-05-08T19:33:07.125332Z" }, "papermill": { - "duration": 0.391674, - "end_time": "2024-05-08T19:22:59.685405", + "duration": 0.41847, + "end_time": "2024-05-08T19:33:07.127626", "exception": false, - "start_time": "2024-05-08T19:22:59.293731", + "start_time": "2024-05-08T19:33:06.709156", "status": "completed" }, "tags": [] @@ -420,7 +420,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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"tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "1d5f0ef9", + "id": "011074a0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:32.870969Z", - "iopub.status.busy": "2024-05-08T19:22:32.870582Z", - "iopub.status.idle": "2024-05-08T19:22:32.873299Z", - "shell.execute_reply": "2024-05-08T19:22:32.872765Z" + "iopub.execute_input": "2024-05-08T19:32:36.576455Z", + "iopub.status.busy": "2024-05-08T19:32:36.575953Z", + "iopub.status.idle": "2024-05-08T19:32:36.583563Z", + "shell.execute_reply": "2024-05-08T19:32:36.582850Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.006579, - "end_time": "2024-05-08T19:22:32.875325", + "duration": 0.012401, + "end_time": "2024-05-08T19:32:36.585952", "exception": false, - "start_time": "2024-05-08T19:22:32.868746", + "start_time": "2024-05-08T19:32:36.573551", "status": "completed" }, "tags": [ @@ -90,19 +90,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "e8ded2b7", + "id": 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", + "image/png": 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", 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" ] @@ -503,8 +503,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.070057, - "end_time": "2024-05-08T19:22:33.607396", + "duration": 3.941952, + "end_time": "2024-05-08T19:32:37.572785", "environment_variables": {}, "exception": null, "input_path": "Gaussian.ipynb", @@ -513,7 +513,7 @@ "func_name": "Gaussian", "positive_prior": false }, - "start_time": "2024-05-08T19:22:30.537339", + "start_time": "2024-05-08T19:32:33.630833", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Gaussian_on_sphere.ipynb.txt b/_sources/notebooks/Gaussian_on_sphere.ipynb.txt index 45ed9bae..671dd022 100644 --- a/_sources/notebooks/Gaussian_on_sphere.ipynb.txt +++ b/_sources/notebooks/Gaussian_on_sphere.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "0582d008", + "id": "3d205171", "metadata": { "papermill": { - "duration": 0.001927, - "end_time": "2024-05-08T19:22:12.462098", + "duration": 0.004093, + "end_time": "2024-05-08T19:32:14.408306", "exception": 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"status": "completed" }, "tags": [] @@ -68,20 +68,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "5c1322ca", + "id": "099a88ac", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:14.690450Z", - "iopub.status.busy": "2024-05-08T19:22:14.689937Z", - "iopub.status.idle": "2024-05-08T19:22:14.693905Z", - "shell.execute_reply": "2024-05-08T19:22:14.692864Z" + "iopub.execute_input": "2024-05-08T19:32:16.743247Z", + "iopub.status.busy": "2024-05-08T19:32:16.742232Z", + "iopub.status.idle": "2024-05-08T19:32:16.748289Z", + "shell.execute_reply": "2024-05-08T19:32:16.746545Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.00852, - "end_time": "2024-05-08T19:22:14.695956", + "duration": 0.014301, + "end_time": "2024-05-08T19:32:16.751989", "exception": false, - "start_time": "2024-05-08T19:22:14.687436", + "start_time": "2024-05-08T19:32:16.737688", "status": "completed" }, "tags": [ @@ -96,19 +96,19 @@ { "cell_type": "code", "execution_count": 3, - 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d1c784cb..a237d587 100644 --- a/_sources/notebooks/Inverse_cutoff_powerlaw.ipynb.txt +++ b/_sources/notebooks/Inverse_cutoff_powerlaw.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "8049dcc8", + "id": "f32b4f69", "metadata": { "papermill": { - "duration": 0.00575, - "end_time": "2024-05-08T19:21:30.030922", + "duration": 0.005713, + "end_time": "2024-05-08T19:31:24.461963", "exception": false, - "start_time": "2024-05-08T19:21:30.025172", + "start_time": "2024-05-08T19:31:24.456250", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "6f436d61", + "id": "93b5f08a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:30.045457Z", - "iopub.status.busy": "2024-05-08T19:21:30.044448Z", - "iopub.status.idle": "2024-05-08T19:21:31.678547Z", - "shell.execute_reply": "2024-05-08T19:21:31.677981Z" + "iopub.execute_input": "2024-05-08T19:31:24.472462Z", + "iopub.status.busy": 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"2024-05-08T19:21:32.167060", + "start_time": "2024-05-08T19:31:26.831360", "status": "completed" }, "tags": [] @@ -504,13 +504,13 @@ }, { "cell_type": "markdown", - "id": "3a64116f", + "id": "e4370881", "metadata": { "papermill": { - "duration": 0.001877, - "end_time": "2024-05-08T19:21:32.383152", + "duration": 0.00192, + "end_time": "2024-05-08T19:31:27.116307", "exception": false, - "start_time": "2024-05-08T19:21:32.381275", + "start_time": "2024-05-08T19:31:27.114387", "status": "completed" }, "tags": [] @@ -525,19 +525,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "af95cc94", + "id": "558d9ef3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:32.387443Z", - "iopub.status.busy": "2024-05-08T19:21:32.387280Z", - "iopub.status.idle": "2024-05-08T19:21:32.581771Z", - "shell.execute_reply": "2024-05-08T19:21:32.581445Z" + "iopub.execute_input": "2024-05-08T19:31:27.121678Z", + "iopub.status.busy": "2024-05-08T19:31:27.121433Z", + 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b/_sources/notebooks/Latitude_galactic_diffuse.ipynb.txt index ace11f4d..aef63167 100644 --- a/_sources/notebooks/Latitude_galactic_diffuse.ipynb.txt +++ b/_sources/notebooks/Latitude_galactic_diffuse.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "c3d0c199", + "id": "f31df965", "metadata": { "papermill": { - "duration": 0.006839, - "end_time": "2024-05-08T19:22:09.205920", + "duration": 0.004053, + "end_time": "2024-05-08T19:32:10.194890", "exception": false, - "start_time": "2024-05-08T19:22:09.199081", + "start_time": "2024-05-08T19:32:10.190837", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "71d97f62", + "id": "d322cec6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:09.218018Z", - "iopub.status.busy": "2024-05-08T19:22:09.217391Z", - "iopub.status.idle": "2024-05-08T19:22:10.802264Z", - "shell.execute_reply": "2024-05-08T19:22:10.800584Z" + "iopub.execute_input": 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"duration": 4.127898, + "end_time": "2024-05-08T19:32:13.497702", "environment_variables": {}, "exception": null, "input_path": "Latitude_galactic_diffuse.ipynb", @@ -449,7 +449,7 @@ "parameters": { "func_name": "Latitude_galactic_diffuse" }, - "start_time": "2024-05-08T19:22:08.488735", + "start_time": "2024-05-08T19:32:09.369804", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Line.ipynb.txt b/_sources/notebooks/Line.ipynb.txt index 4907915f..5ef07a95 100644 --- a/_sources/notebooks/Line.ipynb.txt +++ b/_sources/notebooks/Line.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "9ff6b873", + "id": "53966ddd", "metadata": { "papermill": { - "duration": 0.010656, - "end_time": "2024-05-08T19:21:00.525350", + "duration": 0.007842, + "end_time": "2024-05-08T19:30:48.563462", "exception": false, - "start_time": "2024-05-08T19:21:00.514694", + "start_time": "2024-05-08T19:30:48.555620", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": 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"status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "c3d98f49", + "id": "665370d5", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:01.991372Z", - "iopub.status.busy": "2024-05-08T19:21:01.991232Z", - "iopub.status.idle": "2024-05-08T19:21:01.994894Z", - "shell.execute_reply": "2024-05-08T19:21:01.994432Z" + "iopub.execute_input": "2024-05-08T19:30:50.408049Z", + "iopub.status.busy": "2024-05-08T19:30:50.407800Z", + "iopub.status.idle": "2024-05-08T19:30:50.413221Z", + "shell.execute_reply": "2024-05-08T19:30:50.412527Z" }, "papermill": { - "duration": 0.006545, - "end_time": "2024-05-08T19:21:01.996167", + "duration": 0.010213, + "end_time": "2024-05-08T19:30:50.415569", "exception": false, - "start_time": "2024-05-08T19:21:01.989622", + "start_time": "2024-05-08T19:30:50.405356", "status": "completed" }, "tags": [] @@ -305,13 +305,13 @@ }, { "cell_type": "markdown", - "id": "92e7a6d8", + "id": "42645dc0", "metadata": { "papermill": { - "duration": 0.001151, - "end_time": "2024-05-08T19:21:01.998528", + "duration": 0.001558, + "end_time": "2024-05-08T19:30:50.418787", "exception": false, - "start_time": "2024-05-08T19:21:01.997377", + "start_time": "2024-05-08T19:30:50.417229", "status": "completed" }, "tags": [] @@ -327,19 +327,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "d4b355eb", + "id": "fb0fb54e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:02.001427Z", - "iopub.status.busy": "2024-05-08T19:21:02.001283Z", - "iopub.status.idle": "2024-05-08T19:21:02.103953Z", - "shell.execute_reply": "2024-05-08T19:21:02.103571Z" + "iopub.execute_input": "2024-05-08T19:30:50.422822Z", + "iopub.status.busy": "2024-05-08T19:30:50.422591Z", + "iopub.status.idle": "2024-05-08T19:30:50.555501Z", + "shell.execute_reply": "2024-05-08T19:30:50.555165Z" }, "papermill": { - "duration": 0.105563, - "end_time": "2024-05-08T19:21:02.105196", + "duration": 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"iopub.execute_input": "2024-05-08T19:30:50.572475Z", + "iopub.status.busy": "2024-05-08T19:30:50.572191Z", + "iopub.status.idle": "2024-05-08T19:30:50.791377Z", + "shell.execute_reply": "2024-05-08T19:30:50.790394Z" }, "papermill": { - "duration": 0.161647, - "end_time": "2024-05-08T19:21:02.271318", + "duration": 0.225774, + "end_time": "2024-05-08T19:30:50.794969", "exception": false, - "start_time": "2024-05-08T19:21:02.109671", + "start_time": "2024-05-08T19:30:50.569195", "status": "completed" }, "tags": [] @@ -438,13 +438,13 @@ }, { "cell_type": "markdown", - "id": "5e43638f", + "id": "a17185ff", "metadata": { "papermill": { - "duration": 0.001645, - "end_time": "2024-05-08T19:21:02.274764", + "duration": 0.002065, + "end_time": "2024-05-08T19:30:50.802182", "exception": false, - "start_time": "2024-05-08T19:21:02.273119", + "start_time": "2024-05-08T19:30:50.800117", "status": "completed" }, "tags": [] @@ -459,19 +459,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "eb529b6c", + "id": "58a250ec", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:02.278909Z", - "iopub.status.busy": "2024-05-08T19:21:02.278760Z", - "iopub.status.idle": "2024-05-08T19:21:02.372737Z", - "shell.execute_reply": "2024-05-08T19:21:02.372344Z" + "iopub.execute_input": "2024-05-08T19:30:50.807974Z", + "iopub.status.busy": "2024-05-08T19:30:50.807515Z", + "iopub.status.idle": "2024-05-08T19:30:50.951865Z", + "shell.execute_reply": "2024-05-08T19:30:50.950802Z" }, "papermill": { - "duration": 0.097633, - "end_time": "2024-05-08T19:21:02.374046", + "duration": 0.151302, + "end_time": "2024-05-08T19:30:50.955251", "exception": false, - "start_time": "2024-05-08T19:21:02.276413", + "start_time": "2024-05-08T19:30:50.803949", "status": "completed" }, "tags": [] @@ -524,8 +524,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.76095, - "end_time": "2024-05-08T19:21:02.708481", + "duration": 3.494022, + "end_time": "2024-05-08T19:30:51.512429", "environment_variables": {}, "exception": null, "input_path": "Line.ipynb", @@ -537,7 +537,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:20:59.947531", + "start_time": "2024-05-08T19:30:48.018407", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Log_normal.ipynb.txt b/_sources/notebooks/Log_normal.ipynb.txt index cdc00a6d..80c73537 100644 --- a/_sources/notebooks/Log_normal.ipynb.txt +++ b/_sources/notebooks/Log_normal.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "ac1eec2b", + "id": "94418484", "metadata": { "papermill": { - "duration": 0.011028, - "end_time": "2024-05-08T19:22:45.999550", + "duration": 0.008573, + "end_time": "2024-05-08T19:32:49.670020", "exception": false, - "start_time": "2024-05-08T19:22:45.988522", + "start_time": "2024-05-08T19:32:49.661447", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "bf67ade0", + "id": "51ca3690", "metadata": 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", 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", 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" ] @@ -536,8 +536,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.933862, - "end_time": "2024-05-08T19:22:48.352676", + "duration": 3.875627, + "end_time": "2024-05-08T19:32:52.744491", "environment_variables": {}, "exception": null, "input_path": "Log_normal.ipynb", @@ -546,7 +546,7 @@ "func_name": "Log_normal", "positive_prior": true }, - "start_time": "2024-05-08T19:22:45.418814", + "start_time": "2024-05-08T19:32:48.868864", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Log_parabola.ipynb.txt b/_sources/notebooks/Log_parabola.ipynb.txt index 3fdf724f..f9c815cd 100644 --- a/_sources/notebooks/Log_parabola.ipynb.txt +++ b/_sources/notebooks/Log_parabola.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "3679d687", + "id": "10dbefc5", "metadata": { "papermill": { - "duration": 0.01064, - "end_time": "2024-05-08T19:20:32.236973", + "duration": 0.004977, + "end_time": "2024-05-08T19:30:13.573469", "exception": false, - "start_time": 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", 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", "text/plain": [ "
" ] @@ -506,8 +506,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.768409, - "end_time": "2024-05-08T19:22:53.924019", + "duration": 3.421174, + "end_time": "2024-05-08T19:33:00.448257", "environment_variables": {}, "exception": null, "input_path": "Log_uniform_prior.ipynb", @@ -516,7 +516,7 @@ "func_name": "Log_uniform_prior", "positive_prior": true }, - "start_time": "2024-05-08T19:22:51.155610", + "start_time": "2024-05-08T19:32:57.027083", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Model_tutorial.ipynb.txt b/_sources/notebooks/Model_tutorial.ipynb.txt index a84c8717..0cfd458b 100644 --- a/_sources/notebooks/Model_tutorial.ipynb.txt +++ b/_sources/notebooks/Model_tutorial.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "95ad18b1", + "id": "ef0e91c5", "metadata": {}, "source": [ "# Model tutorial\n", @@ -15,13 +15,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "2d517337", + "id": "5d61f9c6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:50.107048Z", - "iopub.status.busy": "2024-05-08T19:19:50.105872Z", - "iopub.status.idle": "2024-05-08T19:19:51.270209Z", - "shell.execute_reply": "2024-05-08T19:19:51.269606Z" + "iopub.execute_input": "2024-05-08T19:29:22.048519Z", + "iopub.status.busy": "2024-05-08T19:29:22.047454Z", + "iopub.status.idle": "2024-05-08T19:29:23.438580Z", + "shell.execute_reply": "2024-05-08T19:29:23.437702Z" } }, "outputs": [], @@ -36,7 +36,7 @@ }, { "cell_type": "markdown", - "id": "431de9dd", + "id": "ff9f463a", "metadata": {}, "source": [ "## Define sources\n", @@ -47,13 +47,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "4560971a", + "id": "0285335a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.272844Z", - "iopub.status.busy": "2024-05-08T19:19:51.272581Z", - "iopub.status.idle": "2024-05-08T19:19:51.280508Z", - "shell.execute_reply": "2024-05-08T19:19:51.280058Z" + "iopub.execute_input": "2024-05-08T19:29:23.442647Z", + "iopub.status.busy": "2024-05-08T19:29:23.442141Z", + "iopub.status.idle": "2024-05-08T19:29:23.454086Z", + "shell.execute_reply": "2024-05-08T19:29:23.453256Z" } }, "outputs": [ @@ -295,7 +295,7 @@ }, { "cell_type": "markdown", - "id": "e560b265", + "id": "af678ccb", "metadata": {}, "source": [ "Now let’s define another source, this time at Galactic Coordinates l = 11.25, b = -22.5, and with two spectral components:" @@ -304,13 +304,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "5d7bdb32", + "id": "83009852", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.282518Z", - "iopub.status.busy": "2024-05-08T19:19:51.282417Z", - "iopub.status.idle": "2024-05-08T19:19:51.295268Z", - "shell.execute_reply": "2024-05-08T19:19:51.294902Z" + "iopub.execute_input": "2024-05-08T19:29:23.457723Z", + "iopub.status.busy": "2024-05-08T19:29:23.457477Z", + "iopub.status.idle": "2024-05-08T19:29:23.467766Z", + "shell.execute_reply": "2024-05-08T19:29:23.466772Z" } }, "outputs": [ @@ -615,7 +615,7 @@ }, { "cell_type": "markdown", - "id": "ed04fe39", + "id": "8ec20768", "metadata": {}, "source": [ "## Create a model\n", @@ -626,13 +626,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "7b437a78", + "id": "fd9c52b9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.297192Z", - "iopub.status.busy": "2024-05-08T19:19:51.297084Z", - "iopub.status.idle": "2024-05-08T19:19:51.305181Z", - "shell.execute_reply": "2024-05-08T19:19:51.304818Z" + "iopub.execute_input": "2024-05-08T19:29:23.471511Z", + "iopub.status.busy": "2024-05-08T19:29:23.471265Z", + "iopub.status.idle": "2024-05-08T19:29:23.480308Z", + "shell.execute_reply": "2024-05-08T19:29:23.479633Z" } }, "outputs": [], @@ -644,7 +644,7 @@ }, { "cell_type": "markdown", - "id": "555f936f", + "id": "736c6e09", "metadata": {}, "source": [ "Of course you can use as many sources as needed, like my_model = Model(pts1, pts2, pts3…)\n", @@ -657,13 +657,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "e789b1dc", + "id": "b103087b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.307115Z", - "iopub.status.busy": "2024-05-08T19:19:51.307011Z", - "iopub.status.idle": "2024-05-08T19:19:51.323917Z", - "shell.execute_reply": "2024-05-08T19:19:51.323545Z" + "iopub.execute_input": "2024-05-08T19:29:23.483390Z", + "iopub.status.busy": "2024-05-08T19:29:23.483152Z", + "iopub.status.idle": "2024-05-08T19:29:23.508568Z", + "shell.execute_reply": "2024-05-08T19:29:23.508068Z" } }, "outputs": [ @@ -841,7 +841,7 @@ }, { "cell_type": "markdown", - "id": "0e028790", + "id": "3ebde189", "metadata": {}, "source": [ "The model tree can be shown as:" @@ -850,13 +850,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "2bd5e7e1", + "id": "5a55883f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.325905Z", - "iopub.status.busy": "2024-05-08T19:19:51.325768Z", - "iopub.status.idle": "2024-05-08T19:19:51.330287Z", - "shell.execute_reply": "2024-05-08T19:19:51.329930Z" + "iopub.execute_input": "2024-05-08T19:29:23.511790Z", + "iopub.status.busy": "2024-05-08T19:29:23.511561Z", + "iopub.status.idle": "2024-05-08T19:29:23.518891Z", + "shell.execute_reply": "2024-05-08T19:29:23.517503Z" } }, "outputs": [ @@ -937,7 +937,7 @@ }, { "cell_type": "markdown", - "id": "c8d5206a", + "id": "321ec796", "metadata": {}, "source": [ "A dictionary of free parameters can be obtained like this:" @@ -946,13 +946,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "537e8a6d", + "id": "4899c947", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.332126Z", - "iopub.status.busy": "2024-05-08T19:19:51.332002Z", - "iopub.status.idle": "2024-05-08T19:19:51.333811Z", - "shell.execute_reply": "2024-05-08T19:19:51.333450Z" + "iopub.execute_input": "2024-05-08T19:29:23.522239Z", + "iopub.status.busy": "2024-05-08T19:29:23.522017Z", + "iopub.status.idle": "2024-05-08T19:29:23.529636Z", + "shell.execute_reply": "2024-05-08T19:29:23.528995Z" } }, "outputs": [], @@ -962,7 +962,7 @@ }, { "cell_type": "markdown", - "id": "b4e0834c", + "id": "5db10d90", "metadata": {}, "source": [ "We can use such dictionary to loop over all free parameters:" @@ -971,13 +971,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "b2d1146d", + "id": "6a71c10a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.335784Z", - "iopub.status.busy": "2024-05-08T19:19:51.335655Z", - "iopub.status.idle": "2024-05-08T19:19:51.337914Z", - "shell.execute_reply": "2024-05-08T19:19:51.337543Z" + "iopub.execute_input": "2024-05-08T19:29:23.532933Z", + "iopub.status.busy": "2024-05-08T19:29:23.532698Z", + "iopub.status.idle": "2024-05-08T19:29:23.536805Z", + "shell.execute_reply": "2024-05-08T19:29:23.535766Z" } }, "outputs": [ @@ -1002,7 +1002,7 @@ }, { "cell_type": "markdown", - "id": "f9e8d8f5", + "id": "4ea11632", "metadata": {}, "source": [ "More information on a particular source can be obtained like:" @@ -1011,13 +1011,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "ad4ced64", + "id": "605ee0ed", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.339844Z", - "iopub.status.busy": "2024-05-08T19:19:51.339714Z", - "iopub.status.idle": "2024-05-08T19:19:51.349638Z", - "shell.execute_reply": "2024-05-08T19:19:51.349258Z" + "iopub.execute_input": "2024-05-08T19:29:23.539904Z", + "iopub.status.busy": "2024-05-08T19:29:23.539680Z", + "iopub.status.idle": "2024-05-08T19:29:23.545534Z", + "shell.execute_reply": "2024-05-08T19:29:23.544981Z" } }, "outputs": [ @@ -1215,7 +1215,7 @@ }, { "cell_type": "markdown", - "id": "ce235727", + "id": "d0c68158", "metadata": {}, "source": [ "More information about a particular instance of a function can be obtained like:" @@ -1224,13 +1224,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "1c2ee2e9", + "id": "7acb7503", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.351493Z", - "iopub.status.busy": "2024-05-08T19:19:51.351398Z", - "iopub.status.idle": "2024-05-08T19:19:51.354965Z", - "shell.execute_reply": "2024-05-08T19:19:51.354627Z" + "iopub.execute_input": "2024-05-08T19:29:23.548996Z", + "iopub.status.busy": "2024-05-08T19:29:23.548742Z", + "iopub.status.idle": "2024-05-08T19:29:23.554202Z", + "shell.execute_reply": "2024-05-08T19:29:23.553544Z" } }, "outputs": [ @@ -1364,7 +1364,7 @@ }, { "cell_type": "markdown", - "id": "049a21a5", + "id": "fae8ee92", "metadata": {}, "source": [ "## Accessing and modifying sources and parameters from the model instance\n", @@ -1377,13 +1377,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "91c92b97", + "id": "118fb1a0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.356790Z", - "iopub.status.busy": "2024-05-08T19:19:51.356661Z", - "iopub.status.idle": "2024-05-08T19:19:51.364783Z", - "shell.execute_reply": "2024-05-08T19:19:51.364432Z" + "iopub.execute_input": "2024-05-08T19:29:23.557957Z", + "iopub.status.busy": "2024-05-08T19:29:23.557712Z", + "iopub.status.idle": "2024-05-08T19:29:23.569453Z", + "shell.execute_reply": "2024-05-08T19:29:23.568468Z" } }, "outputs": [ @@ -1562,13 +1562,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "a64300ec", + "id": "9709e505", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.366758Z", - "iopub.status.busy": "2024-05-08T19:19:51.366622Z", - "iopub.status.idle": "2024-05-08T19:19:51.374760Z", - "shell.execute_reply": "2024-05-08T19:19:51.374395Z" + "iopub.execute_input": "2024-05-08T19:29:23.572579Z", + "iopub.status.busy": "2024-05-08T19:29:23.572339Z", + "iopub.status.idle": "2024-05-08T19:29:23.575359Z", + "shell.execute_reply": "2024-05-08T19:29:23.574736Z" } }, "outputs": [], @@ -1584,7 +1584,7 @@ }, { "cell_type": "markdown", - "id": "9a8dcad3", + "id": "a8351d57", "metadata": {}, "source": [ "The structure of these paths is easy to understand. The model is a tree-like structure. The root of the tree is always the model instance itself. The second level is constituted by the various sources. The structure within a source can be understood by calling the ```.display``` method:" @@ -1593,13 +1593,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "633ca7fd", + "id": "9aaf68b9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.376659Z", - "iopub.status.busy": "2024-05-08T19:19:51.376562Z", - "iopub.status.idle": "2024-05-08T19:19:51.380444Z", - "shell.execute_reply": "2024-05-08T19:19:51.380078Z" + "iopub.execute_input": "2024-05-08T19:29:23.578795Z", + "iopub.status.busy": "2024-05-08T19:29:23.578558Z", + "iopub.status.idle": "2024-05-08T19:29:23.585281Z", + "shell.execute_reply": "2024-05-08T19:29:23.584440Z" } }, "outputs": [ @@ -1797,7 +1797,7 @@ }, { "cell_type": "markdown", - "id": "a2b84bdd", + "id": "4d0f95d0", "metadata": {}, "source": [ "Each indentation represents one level, so to access the “ra” element we can follow the levels shown by the ```.display()``` method:" @@ -1806,13 +1806,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "f024e315", + "id": "fb8f50a1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.382361Z", - "iopub.status.busy": "2024-05-08T19:19:51.382228Z", - "iopub.status.idle": "2024-05-08T19:19:51.390097Z", - "shell.execute_reply": "2024-05-08T19:19:51.389705Z" + "iopub.execute_input": "2024-05-08T19:29:23.588626Z", + "iopub.status.busy": "2024-05-08T19:29:23.588327Z", + "iopub.status.idle": "2024-05-08T19:29:23.593023Z", + "shell.execute_reply": "2024-05-08T19:29:23.592045Z" } }, "outputs": [ @@ -1839,7 +1839,7 @@ }, { "cell_type": "markdown", - "id": "6bea8c30", + "id": "e74b8308", "metadata": {}, "source": [ "
\n", @@ -1853,7 +1853,7 @@ }, { "cell_type": "markdown", - "id": "064182ca", + "id": "f43b5f7d", "metadata": {}, "source": [ "while to access the index parameter of the power law function we can do" @@ -1862,13 +1862,13 @@ { "cell_type": "code", "execution_count": 15, - "id": "d7480f04", + "id": "c6e05ecc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.392048Z", - "iopub.status.busy": "2024-05-08T19:19:51.391950Z", - "iopub.status.idle": "2024-05-08T19:19:51.394840Z", - "shell.execute_reply": "2024-05-08T19:19:51.394498Z" + "iopub.execute_input": "2024-05-08T19:29:23.596567Z", + "iopub.status.busy": "2024-05-08T19:29:23.596328Z", + "iopub.status.idle": "2024-05-08T19:29:23.607022Z", + "shell.execute_reply": "2024-05-08T19:29:23.606255Z" } }, "outputs": [ @@ -1895,7 +1895,7 @@ }, { "cell_type": "markdown", - "id": "00b6c9c6", + "id": "d9da26da", "metadata": {}, "source": [ "You can find much more information in the document “Additional features for scripts and applications”.\n", @@ -1910,13 +1910,13 @@ { "cell_type": "code", "execution_count": 16, - "id": "d7e25c57", + "id": "59ce79cb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.396627Z", - "iopub.status.busy": "2024-05-08T19:19:51.396499Z", - "iopub.status.idle": "2024-05-08T19:19:51.402719Z", - "shell.execute_reply": "2024-05-08T19:19:51.402336Z" + "iopub.execute_input": "2024-05-08T19:29:23.610568Z", + "iopub.status.busy": "2024-05-08T19:29:23.610287Z", + "iopub.status.idle": "2024-05-08T19:29:23.619794Z", + "shell.execute_reply": "2024-05-08T19:29:23.619171Z" } }, "outputs": [], @@ -1939,7 +1939,7 @@ }, { "cell_type": "markdown", - "id": "26d640cb", + "id": "e66f6756", "metadata": {}, "source": [ "
\n", @@ -1959,7 +1959,7 @@ }, { "cell_type": "markdown", - "id": "ebc162b9", + "id": "4041b8e2", "metadata": {}, "source": [ "Shortcut can point at any point of the tree:\n" @@ -1968,13 +1968,13 @@ { "cell_type": "code", "execution_count": 17, - "id": "9d7cc9a5", + "id": "87d6195f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.404642Z", - "iopub.status.busy": "2024-05-08T19:19:51.404547Z", - "iopub.status.idle": "2024-05-08T19:19:51.412982Z", - "shell.execute_reply": "2024-05-08T19:19:51.412632Z" + "iopub.execute_input": "2024-05-08T19:29:23.622986Z", + "iopub.status.busy": "2024-05-08T19:29:23.622732Z", + "iopub.status.idle": "2024-05-08T19:29:23.626343Z", + "shell.execute_reply": "2024-05-08T19:29:23.625436Z" } }, "outputs": [], @@ -1995,7 +1995,7 @@ }, { "cell_type": "markdown", - "id": "b7343ef7", + "id": "83a92246", "metadata": {}, "source": [ "If you are ever in doubt of what a particular shortcut stands for, you can always retrieve the full path of the element the shortcut is pointing to like this:" @@ -2004,13 +2004,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "9dc8a52e", + "id": "27c02754", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.414823Z", - "iopub.status.busy": "2024-05-08T19:19:51.414725Z", - "iopub.status.idle": "2024-05-08T19:19:51.422815Z", - "shell.execute_reply": "2024-05-08T19:19:51.422459Z" + "iopub.execute_input": "2024-05-08T19:29:23.629560Z", + "iopub.status.busy": "2024-05-08T19:29:23.629284Z", + "iopub.status.idle": "2024-05-08T19:29:23.633313Z", + "shell.execute_reply": "2024-05-08T19:29:23.632007Z" } }, "outputs": [ @@ -2028,7 +2028,7 @@ }, { "cell_type": "markdown", - "id": "0972f54f", + "id": "91b67a41", "metadata": {}, "source": [ "## Saving a model to file\n", @@ -2039,13 +2039,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "b427b7f6", + "id": "67ed3de2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.424658Z", - "iopub.status.busy": "2024-05-08T19:19:51.424564Z", - "iopub.status.idle": "2024-05-08T19:19:51.436930Z", - "shell.execute_reply": "2024-05-08T19:19:51.436582Z" + "iopub.execute_input": "2024-05-08T19:29:23.636750Z", + "iopub.status.busy": "2024-05-08T19:29:23.636496Z", + "iopub.status.idle": "2024-05-08T19:29:23.651235Z", + "shell.execute_reply": "2024-05-08T19:29:23.650583Z" } }, "outputs": [], @@ -2057,7 +2057,7 @@ }, { "cell_type": "markdown", - "id": "92236b84", + "id": "cba29f86", "metadata": {}, "source": [ "The content of the file is YAML code, which is human-readable and very easy to understand. Let’s have a look:" @@ -2066,13 +2066,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "13efebc1", + "id": "201c702b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.438796Z", - "iopub.status.busy": "2024-05-08T19:19:51.438697Z", - "iopub.status.idle": "2024-05-08T19:19:51.441033Z", - "shell.execute_reply": "2024-05-08T19:19:51.440680Z" + "iopub.execute_input": "2024-05-08T19:29:23.654753Z", + "iopub.status.busy": "2024-05-08T19:29:23.654450Z", + "iopub.status.idle": "2024-05-08T19:29:23.658750Z", + "shell.execute_reply": "2024-05-08T19:29:23.657772Z" } }, "outputs": [ @@ -2360,7 +2360,7 @@ }, { "cell_type": "markdown", - "id": "391fd776", + "id": "438d427f", "metadata": {}, "source": [ "## Load a model from a file\n", @@ -2371,13 +2371,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "0f5e6f8a", + "id": "957e309f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.443020Z", - "iopub.status.busy": "2024-05-08T19:19:51.442880Z", - "iopub.status.idle": "2024-05-08T19:19:51.467135Z", - "shell.execute_reply": "2024-05-08T19:19:51.466745Z" + "iopub.execute_input": "2024-05-08T19:29:23.662319Z", + "iopub.status.busy": "2024-05-08T19:29:23.662060Z", + "iopub.status.idle": "2024-05-08T19:29:23.685230Z", + "shell.execute_reply": "2024-05-08T19:29:23.684465Z" } }, "outputs": [ @@ -2560,13 +2560,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "2a49bf30", + "id": "a0d899ff", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.468950Z", - "iopub.status.busy": "2024-05-08T19:19:51.468853Z", - "iopub.status.idle": "2024-05-08T19:19:52.142994Z", - "shell.execute_reply": "2024-05-08T19:19:52.142477Z" + "iopub.execute_input": "2024-05-08T19:29:23.688599Z", + "iopub.status.busy": "2024-05-08T19:29:23.688355Z", + "iopub.status.idle": "2024-05-08T19:29:24.513543Z", + "shell.execute_reply": "2024-05-08T19:29:24.512399Z" } }, "outputs": [ @@ -2636,7 +2636,7 @@ }, { "cell_type": "markdown", - "id": "c2ef97f7", + "id": "91b08a47", "metadata": {}, "source": [ "## Linking parameters\n", @@ -2647,13 +2647,13 @@ { "cell_type": "code", "execution_count": 23, - "id": "455b3329", + "id": "29696fa2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.145310Z", - "iopub.status.busy": "2024-05-08T19:19:52.144935Z", - "iopub.status.idle": "2024-05-08T19:19:52.161558Z", - "shell.execute_reply": "2024-05-08T19:19:52.161163Z" + "iopub.execute_input": "2024-05-08T19:29:24.518611Z", + "iopub.status.busy": "2024-05-08T19:29:24.517969Z", + "iopub.status.idle": "2024-05-08T19:29:24.533967Z", + "shell.execute_reply": "2024-05-08T19:29:24.532779Z" } }, "outputs": [ @@ -2873,7 +2873,7 @@ }, { "cell_type": "markdown", - "id": "883e5dbe", + "id": "968bc7e8", "metadata": {}, "source": [ "### Advanced use of linking: arbitrary functions\n", @@ -2884,13 +2884,13 @@ { "cell_type": "code", "execution_count": 24, - "id": "64a48feb", + "id": "a8de8f7f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.163502Z", - "iopub.status.busy": "2024-05-08T19:19:52.163399Z", - "iopub.status.idle": "2024-05-08T19:19:52.173026Z", - "shell.execute_reply": "2024-05-08T19:19:52.172640Z" + "iopub.execute_input": "2024-05-08T19:29:24.539479Z", + "iopub.status.busy": "2024-05-08T19:29:24.539223Z", + "iopub.status.idle": "2024-05-08T19:29:24.553572Z", + "shell.execute_reply": "2024-05-08T19:29:24.552529Z" } }, "outputs": [ @@ -3130,7 +3130,7 @@ }, { "cell_type": "markdown", - "id": "e25174ba", + "id": "2e6227d7", "metadata": {}, "source": [ "If we want to fix say $p2 = p1 - 1.2$, we can fix k to that:" @@ -3139,13 +3139,13 @@ { "cell_type": "code", "execution_count": 25, - "id": "6637f9ff", + "id": "58d0fec6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.174970Z", - "iopub.status.busy": "2024-05-08T19:19:52.174836Z", - "iopub.status.idle": "2024-05-08T19:19:52.190129Z", - "shell.execute_reply": "2024-05-08T19:19:52.189746Z" + "iopub.execute_input": "2024-05-08T19:29:24.559076Z", + "iopub.status.busy": "2024-05-08T19:29:24.558617Z", + "iopub.status.idle": "2024-05-08T19:29:24.573475Z", + "shell.execute_reply": "2024-05-08T19:29:24.571716Z" } }, "outputs": [ @@ -3362,7 +3362,7 @@ }, { "cell_type": "markdown", - "id": "b5653df5", + "id": "1db1ca97", "metadata": {}, "source": [ "As another example, we might link the two parameters using a power law function:" @@ -3371,13 +3371,13 @@ { "cell_type": "code", "execution_count": 26, - "id": "e307a132", + "id": "6cafe435", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.192055Z", - "iopub.status.busy": "2024-05-08T19:19:52.191955Z", - "iopub.status.idle": "2024-05-08T19:19:52.201644Z", - "shell.execute_reply": "2024-05-08T19:19:52.201282Z" + "iopub.execute_input": "2024-05-08T19:29:24.577487Z", + "iopub.status.busy": "2024-05-08T19:29:24.577264Z", + "iopub.status.idle": "2024-05-08T19:29:24.596967Z", + "shell.execute_reply": "2024-05-08T19:29:24.596145Z" } }, "outputs": [ @@ -3611,7 +3611,7 @@ }, { "cell_type": "markdown", - "id": "84dec2ec", + "id": "bd4ecb0c", "metadata": {}, "source": [ "We can use arbitrarily complex functions as link function, if needed (see “Creating and modifying functions” for more info on how to create composite functions):" @@ -3620,13 +3620,13 @@ { "cell_type": "code", "execution_count": 27, - "id": "d0b15267", + "id": "54c367df", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.203678Z", - "iopub.status.busy": "2024-05-08T19:19:52.203542Z", - "iopub.status.idle": "2024-05-08T19:19:52.214333Z", - "shell.execute_reply": "2024-05-08T19:19:52.213984Z" + "iopub.execute_input": "2024-05-08T19:29:24.600333Z", + "iopub.status.busy": "2024-05-08T19:29:24.600104Z", + "iopub.status.idle": "2024-05-08T19:29:24.615462Z", + "shell.execute_reply": "2024-05-08T19:29:24.614488Z" } }, "outputs": [ @@ -3908,7 +3908,7 @@ }, { "cell_type": "markdown", - "id": "62b906a8", + "id": "2ef004af", "metadata": {}, "source": [ "## Time-varying models and other independent variables\n", @@ -3919,13 +3919,13 @@ { "cell_type": "code", "execution_count": 28, - "id": "adcd2f9b", + "id": "b1335039", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.216283Z", - "iopub.status.busy": "2024-05-08T19:19:52.216152Z", - "iopub.status.idle": "2024-05-08T19:19:52.218141Z", - "shell.execute_reply": "2024-05-08T19:19:52.217771Z" + "iopub.execute_input": "2024-05-08T19:29:24.618994Z", + "iopub.status.busy": "2024-05-08T19:29:24.618754Z", + "iopub.status.idle": "2024-05-08T19:29:24.621825Z", + "shell.execute_reply": "2024-05-08T19:29:24.621251Z" } }, "outputs": [], @@ -3939,7 +3939,7 @@ }, { "cell_type": "markdown", - "id": "ec4cf906", + "id": "6bf79bd9", "metadata": {}, "source": [ "The IndependentVariable instance is inserted at the root of the model tree. In this case, can be accessed as:" @@ -3948,13 +3948,13 @@ { "cell_type": "code", "execution_count": 29, - "id": "7815810b", + "id": "ae4a5811", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.220015Z", - "iopub.status.busy": "2024-05-08T19:19:52.219885Z", - "iopub.status.idle": "2024-05-08T19:19:52.222332Z", - "shell.execute_reply": "2024-05-08T19:19:52.221939Z" + "iopub.execute_input": "2024-05-08T19:29:24.625149Z", + "iopub.status.busy": "2024-05-08T19:29:24.624923Z", + "iopub.status.idle": "2024-05-08T19:29:24.629636Z", + "shell.execute_reply": "2024-05-08T19:29:24.628489Z" } }, "outputs": [ @@ -3979,7 +3979,7 @@ }, { "cell_type": "markdown", - "id": "119c595a", + "id": "482501f5", "metadata": {}, "source": [ "We can now link any parameter to be a function of time, like this:" @@ -3988,13 +3988,13 @@ { "cell_type": "code", "execution_count": 30, - "id": "b181a328", + "id": "dbd9562f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.224326Z", - "iopub.status.busy": "2024-05-08T19:19:52.224199Z", - "iopub.status.idle": "2024-05-08T19:19:52.232206Z", - "shell.execute_reply": "2024-05-08T19:19:52.231831Z" + "iopub.execute_input": "2024-05-08T19:29:24.632917Z", + "iopub.status.busy": "2024-05-08T19:29:24.632712Z", + "iopub.status.idle": "2024-05-08T19:29:24.635677Z", + "shell.execute_reply": "2024-05-08T19:29:24.634869Z" } }, "outputs": [], @@ -4005,7 +4005,7 @@ }, { "cell_type": "markdown", - "id": "e5992a49", + "id": "2af4a1ba", "metadata": {}, "source": [ "Now link the index of the sync. component of source_2 to be law(t)\n", @@ -4015,13 +4015,13 @@ { "cell_type": "code", "execution_count": 31, - "id": "18abe8e4", + "id": "26f7aed3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.234087Z", - "iopub.status.busy": "2024-05-08T19:19:52.233993Z", - "iopub.status.idle": "2024-05-08T19:19:52.242302Z", - "shell.execute_reply": "2024-05-08T19:19:52.241941Z" + "iopub.execute_input": "2024-05-08T19:29:24.638953Z", + "iopub.status.busy": "2024-05-08T19:29:24.638730Z", + "iopub.status.idle": "2024-05-08T19:29:24.647848Z", + "shell.execute_reply": "2024-05-08T19:29:24.647244Z" } }, "outputs": [], @@ -4034,13 +4034,13 @@ { "cell_type": "code", "execution_count": 32, - "id": "e9ddc381", + "id": "9608f603", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.244161Z", - "iopub.status.busy": "2024-05-08T19:19:52.244057Z", - "iopub.status.idle": "2024-05-08T19:19:52.274014Z", - "shell.execute_reply": "2024-05-08T19:19:52.273558Z" + "iopub.execute_input": "2024-05-08T19:29:24.651069Z", + "iopub.status.busy": "2024-05-08T19:29:24.650839Z", + "iopub.status.idle": "2024-05-08T19:29:24.684865Z", + "shell.execute_reply": "2024-05-08T19:29:24.684213Z" } }, "outputs": [], @@ -4052,7 +4052,7 @@ }, { "cell_type": "markdown", - "id": "a2a6e52a", + "id": "b9bfed79", "metadata": {}, "source": [ "This would show the link:\n", @@ -4082,13 +4082,13 @@ { "cell_type": "code", "execution_count": 33, - "id": "f3d041e3", + "id": "ffa0c121", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.276168Z", - "iopub.status.busy": "2024-05-08T19:19:52.276067Z", - "iopub.status.idle": "2024-05-08T19:19:52.611573Z", - "shell.execute_reply": "2024-05-08T19:19:52.611185Z" + "iopub.execute_input": "2024-05-08T19:29:24.688067Z", + "iopub.status.busy": "2024-05-08T19:29:24.687838Z", + "iopub.status.idle": "2024-05-08T19:29:25.087189Z", + "shell.execute_reply": "2024-05-08T19:29:25.085397Z" } }, "outputs": [ @@ -4138,7 +4138,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b8b22198", + "id": "4f6abcd2", "metadata": {}, "outputs": [], "source": [] diff --git a/_sources/notebooks/ModifiedBlackbody.ipynb.txt b/_sources/notebooks/ModifiedBlackbody.ipynb.txt index 84e8bc12..3e700c08 100644 --- a/_sources/notebooks/ModifiedBlackbody.ipynb.txt +++ b/_sources/notebooks/ModifiedBlackbody.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "a61c3ea6", + "id": "8c81b562", "metadata": { "papermill": { - "duration": 0.012266, - "end_time": "2024-05-08T19:20:10.390792", + "duration": 0.00825, + "end_time": "2024-05-08T19:29:46.684684", "exception": false, - "start_time": "2024-05-08T19:20:10.378526", + "start_time": "2024-05-08T19:29:46.676434", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f4f5a136", + "id": "67d2fac9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:10.405901Z", - "iopub.status.busy": "2024-05-08T19:20:10.405044Z", - "iopub.status.idle": "2024-05-08T19:20:11.846722Z", - "shell.execute_reply": "2024-05-08T19:20:11.846202Z" + "iopub.execute_input": "2024-05-08T19:29:46.698379Z", + "iopub.status.busy": "2024-05-08T19:29:46.697860Z", + "iopub.status.idle": "2024-05-08T19:29:48.441321Z", + "shell.execute_reply": "2024-05-08T19:29:48.440316Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.450551, - "end_time": "2024-05-08T19:20:11.848304", + "duration": 1.752133, + "end_time": "2024-05-08T19:29:48.443451", "exception": false, - "start_time": "2024-05-08T19:20:10.397753", + "start_time": "2024-05-08T19:29:46.691318", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "03a1fb30", + "id": "47065796", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.851653Z", - "iopub.status.busy": "2024-05-08T19:20:11.851320Z", - "iopub.status.idle": "2024-05-08T19:20:11.857581Z", - "shell.execute_reply": "2024-05-08T19:20:11.857206Z" + "iopub.execute_input": "2024-05-08T19:29:48.447806Z", + "iopub.status.busy": "2024-05-08T19:29:48.447321Z", + "iopub.status.idle": "2024-05-08T19:29:48.455967Z", + "shell.execute_reply": "2024-05-08T19:29:48.455271Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.009236, - "end_time": "2024-05-08T19:20:11.858850", + "duration": 0.012929, + "end_time": "2024-05-08T19:29:48.457943", "exception": false, - "start_time": "2024-05-08T19:20:11.849614", + "start_time": "2024-05-08T19:29:48.445014", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "391c1ecf", + "id": "a3b47bc0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.861682Z", - "iopub.status.busy": "2024-05-08T19:20:11.861549Z", - "iopub.status.idle": "2024-05-08T19:20:11.869708Z", - "shell.execute_reply": "2024-05-08T19:20:11.869338Z" + "iopub.execute_input": "2024-05-08T19:29:48.461993Z", + "iopub.status.busy": "2024-05-08T19:29:48.461741Z", + "iopub.status.idle": "2024-05-08T19:29:48.464892Z", + "shell.execute_reply": "2024-05-08T19:29:48.464127Z" }, "papermill": { - "duration": 0.01101, - "end_time": "2024-05-08T19:20:11.870965", + "duration": 0.007355, + "end_time": "2024-05-08T19:29:48.466825", "exception": false, - "start_time": "2024-05-08T19:20:11.859955", + "start_time": "2024-05-08T19:29:48.459470", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "72c1207e", + "id": "38da4d91", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.873937Z", - "iopub.status.busy": "2024-05-08T19:20:11.873775Z", - "iopub.status.idle": "2024-05-08T19:20:11.882815Z", - "shell.execute_reply": "2024-05-08T19:20:11.882426Z" + "iopub.execute_input": "2024-05-08T19:29:48.470762Z", + "iopub.status.busy": "2024-05-08T19:29:48.470549Z", + "iopub.status.idle": "2024-05-08T19:29:48.480649Z", + "shell.execute_reply": "2024-05-08T19:29:48.480036Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.011997, - "end_time": "2024-05-08T19:20:11.884168", + "duration": 0.014236, + "end_time": "2024-05-08T19:29:48.482527", "exception": false, - "start_time": "2024-05-08T19:20:11.872171", + "start_time": "2024-05-08T19:29:48.468291", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "95f09fde", + "id": "756f3067", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001088, - "end_time": "2024-05-08T19:20:11.886367", + "duration": 0.001463, + "end_time": "2024-05-08T19:29:48.485455", "exception": false, - "start_time": "2024-05-08T19:20:11.885279", + "start_time": "2024-05-08T19:29:48.483992", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "2c4792a4", + "id": "8ad09f2c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.889185Z", - "iopub.status.busy": "2024-05-08T19:20:11.889048Z", - "iopub.status.idle": "2024-05-08T19:20:11.892761Z", - "shell.execute_reply": "2024-05-08T19:20:11.892294Z" + "iopub.execute_input": "2024-05-08T19:29:48.489198Z", + "iopub.status.busy": "2024-05-08T19:29:48.488980Z", + "iopub.status.idle": "2024-05-08T19:29:48.494534Z", + "shell.execute_reply": "2024-05-08T19:29:48.493727Z" }, "papermill": { - "duration": 0.006492, - "end_time": "2024-05-08T19:20:11.893975", + "duration": 0.010006, + "end_time": "2024-05-08T19:29:48.496748", "exception": false, - "start_time": "2024-05-08T19:20:11.887483", + "start_time": "2024-05-08T19:29:48.486742", "status": "completed" }, "tags": [] @@ -305,13 +305,13 @@ }, { "cell_type": "markdown", - "id": "33609970", + "id": "73528bd3", "metadata": { "papermill": { - "duration": 0.001303, - "end_time": "2024-05-08T19:20:11.896499", + "duration": 0.001477, + "end_time": "2024-05-08T19:29:48.499897", "exception": false, - "start_time": "2024-05-08T19:20:11.895196", + "start_time": "2024-05-08T19:29:48.498420", "status": "completed" }, "tags": [] @@ -327,19 +327,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "dc73ef3a", + "id": "17768dbe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.899493Z", - "iopub.status.busy": "2024-05-08T19:20:11.899352Z", - "iopub.status.idle": "2024-05-08T19:20:12.393825Z", - "shell.execute_reply": "2024-05-08T19:20:12.393467Z" + "iopub.execute_input": "2024-05-08T19:29:48.503847Z", + "iopub.status.busy": "2024-05-08T19:29:48.503576Z", + "iopub.status.idle": "2024-05-08T19:29:49.128813Z", + "shell.execute_reply": "2024-05-08T19:29:49.127949Z" }, "papermill": { - "duration": 0.497627, - "end_time": "2024-05-08T19:20:12.395316", + "duration": 0.62967, + "end_time": "2024-05-08T19:29:49.130912", "exception": false, - "start_time": "2024-05-08T19:20:11.897689", + "start_time": "2024-05-08T19:29:48.501242", "status": "completed" }, "tags": [ @@ -372,14 +372,14 @@ }, { "cell_type": "markdown", - "id": "2d8441cc", + "id": "9af87465", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.00161, - "end_time": "2024-05-08T19:20:12.398626", + "duration": 0.001646, + "end_time": "2024-05-08T19:29:49.134495", "exception": false, - "start_time": "2024-05-08T19:20:12.397016", + "start_time": "2024-05-08T19:29:49.132849", "status": "completed" }, "tags": [] @@ -394,19 +394,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "592722ec", + "id": "93f08e51", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:12.402214Z", - "iopub.status.busy": "2024-05-08T19:20:12.402070Z", - "iopub.status.idle": "2024-05-08T19:20:12.603179Z", - "shell.execute_reply": "2024-05-08T19:20:12.602764Z" + "iopub.execute_input": "2024-05-08T19:29:49.138914Z", + "iopub.status.busy": "2024-05-08T19:29:49.138681Z", + "iopub.status.idle": "2024-05-08T19:29:49.412677Z", + "shell.execute_reply": "2024-05-08T19:29:49.411735Z" }, "papermill": { - "duration": 0.204498, - "end_time": "2024-05-08T19:20:12.604513", + "duration": 0.280384, + "end_time": "2024-05-08T19:29:49.416477", "exception": false, - "start_time": "2024-05-08T19:20:12.400015", + "start_time": "2024-05-08T19:29:49.136093", "status": "completed" }, "tags": [] @@ -438,13 +438,13 @@ }, { "cell_type": "markdown", - "id": "eeead6b7", + "id": "1a8f8ccd", "metadata": { "papermill": { - "duration": 0.001955, - "end_time": "2024-05-08T19:20:12.608678", + "duration": 0.00192, + "end_time": "2024-05-08T19:29:49.421501", "exception": false, - "start_time": "2024-05-08T19:20:12.606723", + "start_time": "2024-05-08T19:29:49.419581", "status": "completed" }, "tags": [] @@ -459,19 +459,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "ad3f70b7", + "id": "5c8ef35c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:12.612730Z", - "iopub.status.busy": "2024-05-08T19:20:12.612584Z", - "iopub.status.idle": "2024-05-08T19:20:12.864974Z", - "shell.execute_reply": "2024-05-08T19:20:12.864638Z" + "iopub.execute_input": "2024-05-08T19:29:49.426127Z", + "iopub.status.busy": "2024-05-08T19:29:49.425903Z", + "iopub.status.idle": "2024-05-08T19:29:49.763461Z", + "shell.execute_reply": "2024-05-08T19:29:49.762723Z" }, "papermill": { - "duration": 0.256116, - "end_time": "2024-05-08T19:20:12.866503", + "duration": 0.342487, + "end_time": "2024-05-08T19:29:49.765734", "exception": false, - "start_time": "2024-05-08T19:20:12.610387", + "start_time": "2024-05-08T19:29:49.423247", "status": "completed" }, "tags": [] @@ -524,8 +524,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.41424, - "end_time": "2024-05-08T19:20:13.201126", + "duration": 4.392591, + "end_time": "2024-05-08T19:29:50.304670", "environment_variables": {}, "exception": null, "input_path": "ModifiedBlackbody.ipynb", @@ -537,7 +537,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:09.786886", + "start_time": "2024-05-08T19:29:45.912079", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Multi_component_sources.ipynb.txt b/_sources/notebooks/Multi_component_sources.ipynb.txt index 9182fa28..e31b8098 100644 --- a/_sources/notebooks/Multi_component_sources.ipynb.txt +++ b/_sources/notebooks/Multi_component_sources.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "e36f2c48", + "id": "1d9cd5bc", "metadata": {}, "source": [ "# Multi-component sources" @@ -10,7 +10,7 @@ }, { "cell_type": "markdown", - "id": "884d8afd", + "id": "92e45978", "metadata": {}, "source": [ "A multi-component source is a point source (or extended source) which has different spectral\n", @@ -30,25 +30,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "7d5831ff", + "id": "20e7bccb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:53.557939Z", - "iopub.status.busy": "2024-05-08T19:19:53.557153Z", - "iopub.status.idle": "2024-05-08T19:19:54.721115Z", - 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"iopub.status.idle": "2024-05-08T19:19:54.731773Z", - "shell.execute_reply": "2024-05-08T19:19:54.731402Z" + "iopub.execute_input": "2024-05-08T19:29:27.677736Z", + "iopub.status.busy": "2024-05-08T19:29:27.677249Z", + "iopub.status.idle": "2024-05-08T19:29:27.686879Z", + "shell.execute_reply": "2024-05-08T19:29:27.686212Z" } }, "outputs": [], @@ -395,7 +395,7 @@ }, { "cell_type": "markdown", - "id": "564a7c27", + "id": "118a0b4a", "metadata": {}, "source": [ "Change values for the parameters:" @@ -404,13 +404,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "cb3eb3e8", + "id": "256468c3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.733685Z", - "iopub.status.busy": "2024-05-08T19:19:54.733586Z", - "iopub.status.idle": "2024-05-08T19:19:54.738496Z", - "shell.execute_reply": "2024-05-08T19:19:54.738147Z" + "iopub.execute_input": "2024-05-08T19:29:27.690126Z", + "iopub.status.busy": "2024-05-08T19:29:27.689894Z", + "iopub.status.idle": "2024-05-08T19:29:27.697574Z", + "shell.execute_reply": "2024-05-08T19:29:27.696397Z" } }, "outputs": [ @@ -705,7 +705,7 @@ }, { "cell_type": "markdown", - "id": "b3656e28", + "id": "d10be3f4", "metadata": {}, "source": [ "Spectral components can be assigned to python variables to modify several parameters without too much repetition:" @@ -714,13 +714,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "217d94bc", + "id": "917909f5", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.740467Z", - "iopub.status.busy": "2024-05-08T19:19:54.740342Z", - "iopub.status.idle": "2024-05-08T19:19:54.745771Z", - "shell.execute_reply": "2024-05-08T19:19:54.745418Z" + "iopub.execute_input": "2024-05-08T19:29:27.701017Z", + "iopub.status.busy": "2024-05-08T19:29:27.700765Z", + "iopub.status.idle": "2024-05-08T19:29:27.709340Z", + "shell.execute_reply": "2024-05-08T19:29:27.708382Z" } }, "outputs": [ @@ -1016,7 +1016,7 @@ }, { "cell_type": "markdown", - "id": "1a88d695", + "id": "b2963b0c", "metadata": {}, "source": [ "Be careful when creating a shortcut directly to a parameter." @@ -1025,13 +1025,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "41167f50", + "id": "2f242e32", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.747760Z", - "iopub.status.busy": "2024-05-08T19:19:54.747620Z", - "iopub.status.idle": "2024-05-08T19:19:54.750003Z", - "shell.execute_reply": "2024-05-08T19:19:54.749579Z" + "iopub.execute_input": "2024-05-08T19:29:27.712794Z", + "iopub.status.busy": "2024-05-08T19:29:27.712577Z", + "iopub.status.idle": "2024-05-08T19:29:27.716395Z", + "shell.execute_reply": "2024-05-08T19:29:27.715490Z" } }, "outputs": [ @@ -1054,7 +1054,7 @@ }, { "cell_type": "markdown", - "id": "520edeb0", + "id": "cf08d976", "metadata": {}, "source": [ "This did **not** change the value of K, but instead assigned the float 0.3 to p1 (i.e., destroy the shortcut). \n", @@ -1065,13 +1065,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "aa638e03", + "id": "3e215189", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.752019Z", - "iopub.status.busy": "2024-05-08T19:19:54.751893Z", - "iopub.status.idle": "2024-05-08T19:19:54.756697Z", - "shell.execute_reply": "2024-05-08T19:19:54.756342Z" + "iopub.execute_input": "2024-05-08T19:29:27.719840Z", + "iopub.status.busy": "2024-05-08T19:29:27.719587Z", + "iopub.status.idle": "2024-05-08T19:29:27.728831Z", + "shell.execute_reply": "2024-05-08T19:29:27.728081Z" } }, "outputs": [ @@ -1367,7 +1367,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e0c557a7", + "id": "3e88eab4", "metadata": {}, "outputs": [], "source": [] @@ -1375,7 +1375,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b80d6477", + "id": "8d237fc4", "metadata": {}, "outputs": [], "source": [] diff --git a/_sources/notebooks/NonDissipativePhotosphere.ipynb.txt b/_sources/notebooks/NonDissipativePhotosphere.ipynb.txt index 7f19cf96..353dd0ff 100644 --- a/_sources/notebooks/NonDissipativePhotosphere.ipynb.txt +++ b/_sources/notebooks/NonDissipativePhotosphere.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "641540af", + "id": "a8bf1b1c", "metadata": { "papermill": { - "duration": 0.010755, - "end_time": "2024-05-08T19:20:13.916875", + "duration": 0.007823, + "end_time": "2024-05-08T19:29:50.863008", "exception": false, - "start_time": "2024-05-08T19:20:13.906120", + "start_time": "2024-05-08T19:29:50.855185", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "6253f21a", + "id": "74b2284a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:13.930162Z", - "iopub.status.busy": "2024-05-08T19:20:13.929563Z", - "iopub.status.idle": "2024-05-08T19:20:15.331052Z", - "shell.execute_reply": "2024-05-08T19:20:15.330540Z" + "iopub.execute_input": "2024-05-08T19:29:50.875933Z", + "iopub.status.busy": "2024-05-08T19:29:50.875417Z", + "iopub.status.idle": "2024-05-08T19:29:52.589190Z", + "shell.execute_reply": "2024-05-08T19:29:52.588387Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.409567, - "end_time": "2024-05-08T19:20:15.332542", + "duration": 1.722191, + "end_time": "2024-05-08T19:29:52.591449", "exception": false, - 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"id": "615dfcd7", + "id": "2810a2ad", "metadata": { "papermill": { - "duration": 0.001221, - "end_time": "2024-05-08T19:20:40.167754", + "duration": 0.001394, + "end_time": "2024-05-08T19:30:23.585087", "exception": false, - "start_time": "2024-05-08T19:20:40.166533", + "start_time": "2024-05-08T19:30:23.583693", "status": "completed" }, "tags": [] @@ -353,19 +353,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "a38c5d1d", + "id": "0d84c7f3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:40.170790Z", - "iopub.status.busy": "2024-05-08T19:20:40.170641Z", - "iopub.status.idle": "2024-05-08T19:20:41.080259Z", - "shell.execute_reply": "2024-05-08T19:20:41.079934Z" + "iopub.execute_input": "2024-05-08T19:30:23.589288Z", + "iopub.status.busy": "2024-05-08T19:30:23.589058Z", + "iopub.status.idle": "2024-05-08T19:30:24.753353Z", + "shell.execute_reply": "2024-05-08T19:30:24.752369Z" }, "papermill": { - "duration": 0.912782, - "end_time": "2024-05-08T19:20:41.081718", + "duration": 1.169183, + "end_time": "2024-05-08T19:30:24.755623", "exception": false, - "start_time": "2024-05-08T19:20:40.168936", + "start_time": "2024-05-08T19:30:23.586440", "status": "completed" }, "tags": [ @@ -398,14 +398,14 @@ }, { "cell_type": "markdown", - "id": "fc141224", + "id": "aa28ef8d", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001514, - "end_time": "2024-05-08T19:20:41.085015", + "duration": 0.001843, + "end_time": "2024-05-08T19:30:24.759540", "exception": false, - "start_time": "2024-05-08T19:20:41.083501", + "start_time": "2024-05-08T19:30:24.757697", "status": "completed" }, "tags": [] @@ -420,19 +420,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "531f9e0e", + "id": "a3ec19a7", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:41.088634Z", - "iopub.status.busy": "2024-05-08T19:20:41.088497Z", - "iopub.status.idle": "2024-05-08T19:20:41.330991Z", - "shell.execute_reply": "2024-05-08T19:20:41.330577Z" + "iopub.execute_input": "2024-05-08T19:30:24.764038Z", + "iopub.status.busy": "2024-05-08T19:30:24.763816Z", + "iopub.status.idle": "2024-05-08T19:30:25.093950Z", + "shell.execute_reply": "2024-05-08T19:30:25.093234Z" }, "papermill": { - "duration": 0.245904, - "end_time": "2024-05-08T19:20:41.332349", + "duration": 0.33497, + "end_time": "2024-05-08T19:30:25.096205", "exception": false, - "start_time": "2024-05-08T19:20:41.086445", + "start_time": "2024-05-08T19:30:24.761235", "status": "completed" }, "tags": [] @@ -464,13 +464,13 @@ }, { "cell_type": "markdown", - "id": "f52845c0", + "id": "5fce3410", "metadata": { "papermill": { - "duration": 0.001617, - "end_time": "2024-05-08T19:20:41.335866", + "duration": 0.002063, + "end_time": "2024-05-08T19:30:25.100535", "exception": false, - "start_time": "2024-05-08T19:20:41.334249", + "start_time": "2024-05-08T19:30:25.098472", "status": "completed" }, "tags": [] @@ -485,19 +485,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "0bceeab4", + "id": "3b9dd116", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:41.339786Z", - "iopub.status.busy": "2024-05-08T19:20:41.339644Z", - "iopub.status.idle": "2024-05-08T19:20:41.530315Z", - "shell.execute_reply": "2024-05-08T19:20:41.529963Z" + "iopub.execute_input": "2024-05-08T19:30:25.105604Z", + "iopub.status.busy": "2024-05-08T19:30:25.105351Z", + "iopub.status.idle": "2024-05-08T19:30:25.389347Z", + "shell.execute_reply": "2024-05-08T19:30:25.388094Z" }, "papermill": { - "duration": 0.194391, - "end_time": "2024-05-08T19:20:41.531802", + "duration": 0.288864, + "end_time": "2024-05-08T19:30:25.391215", "exception": false, - "start_time": "2024-05-08T19:20:41.337411", + "start_time": "2024-05-08T19:30:25.102351", "status": "completed" }, "tags": [] @@ -550,8 +550,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 4.000415, - "end_time": "2024-05-08T19:20:41.969634", + "duration": 4.898565, + "end_time": "2024-05-08T19:30:25.927876", "environment_variables": {}, "exception": null, "input_path": "PhAbs.ipynb", @@ -563,7 +563,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:37.969219", + "start_time": "2024-05-08T19:30:21.029311", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Point_source_tutorial.ipynb.txt b/_sources/notebooks/Point_source_tutorial.ipynb.txt index c33681ed..9e923778 100644 --- a/_sources/notebooks/Point_source_tutorial.ipynb.txt +++ b/_sources/notebooks/Point_source_tutorial.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "fee8cc06", + "id": "8ae363a1", "metadata": {}, "source": [ "# Point sources #\n", @@ -19,25 +19,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "6f6ff1a5", + "id": "6cde5894", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:55.837459Z", - "iopub.status.busy": "2024-05-08T19:19:55.836875Z", - "iopub.status.idle": "2024-05-08T19:19:56.990152Z", - "shell.execute_reply": "2024-05-08T19:19:56.989608Z" + "iopub.execute_input": "2024-05-08T19:29:28.933278Z", + "iopub.status.busy": "2024-05-08T19:29:28.932806Z", + "iopub.status.idle": "2024-05-08T19:29:30.341517Z", + "shell.execute_reply": "2024-05-08T19:29:30.340658Z" } }, "outputs": [ { "data": { "text/html": [ - "
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+       "\u001b[38;5;46m19:29:29\u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The naima package is not available. Models that depend on it will not be        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=579422;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=953338;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#48\u001b\\\u001b[2m48\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[38;5;46m         \u001b[0m         \u001b[1;38;5;251mavailable                                                                        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m               \u001b[0m\n"
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@@ -52,7 +52,7 @@
        "
\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The GSL library or the pygsl wrapper cannot be loaded. Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=151890;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=956919;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The GSL library or the pygsl wrapper cannot be loaded. Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=520855;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=991541;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -67,7 +67,7 @@ }, { "cell_type": "markdown", - "id": "9d90d4a0", + "id": "1a6c46cf", "metadata": {}, "source": [ "We can also use Galactic coordinates:" @@ -76,13 +76,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "9eb351fb", + "id": "9a5a475d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:56.992659Z", - "iopub.status.busy": "2024-05-08T19:19:56.992395Z", - "iopub.status.idle": "2024-05-08T19:19:57.001348Z", - "shell.execute_reply": "2024-05-08T19:19:57.000987Z" + "iopub.execute_input": "2024-05-08T19:29:30.345660Z", + "iopub.status.busy": "2024-05-08T19:29:30.345083Z", + "iopub.status.idle": "2024-05-08T19:29:30.350090Z", + "shell.execute_reply": "2024-05-08T19:29:30.348885Z" } }, "outputs": [], @@ -92,7 +92,7 @@ }, { "cell_type": "markdown", - "id": "197a6708", + "id": "e554abb7", "metadata": {}, "source": [ "As spectral shape we can use any function or any composite function (see\n", @@ -101,7 +101,7 @@ }, { "cell_type": "markdown", - "id": "a3e3a6c8", + "id": "748bea12", "metadata": {}, "source": [ "## Getting info about a point source\n", @@ -114,13 +114,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "0d723cff", + "id": "e5b472c1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.003307Z", - "iopub.status.busy": "2024-05-08T19:19:57.003211Z", - "iopub.status.idle": "2024-05-08T19:19:57.013611Z", - "shell.execute_reply": "2024-05-08T19:19:57.013218Z" + "iopub.execute_input": "2024-05-08T19:29:30.353560Z", + "iopub.status.busy": "2024-05-08T19:29:30.353268Z", + "iopub.status.idle": "2024-05-08T19:29:30.361069Z", + "shell.execute_reply": "2024-05-08T19:29:30.359775Z" } }, "outputs": [ @@ -319,13 +319,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "3dd6dc6b", + "id": "c67dd04b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.015581Z", - "iopub.status.busy": "2024-05-08T19:19:57.015471Z", - "iopub.status.idle": "2024-05-08T19:19:57.025127Z", - "shell.execute_reply": "2024-05-08T19:19:57.024756Z" + "iopub.execute_input": "2024-05-08T19:29:30.364350Z", + "iopub.status.busy": "2024-05-08T19:29:30.364060Z", + "iopub.status.idle": "2024-05-08T19:29:30.369692Z", + "shell.execute_reply": "2024-05-08T19:29:30.369074Z" } }, "outputs": [ @@ -385,7 +385,7 @@ }, { "cell_type": "markdown", - "id": "013b64b8", + "id": "c5676686", "metadata": {}, "source": [ "As you can see we have created a point source with one component automatically named \"main\", with a power law spectrum, at the\n", @@ -394,7 +394,7 @@ }, { "cell_type": "markdown", - "id": "b2dfd183", + "id": "4cace120", "metadata": {}, "source": [ "## Converting between coordinate systems\n", @@ -407,13 +407,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "8d212b21", + "id": "f9195ead", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.027075Z", - "iopub.status.busy": "2024-05-08T19:19:57.026973Z", - "iopub.status.idle": "2024-05-08T19:19:57.045416Z", - "shell.execute_reply": "2024-05-08T19:19:57.045053Z" + "iopub.execute_input": "2024-05-08T19:29:30.373423Z", + "iopub.status.busy": "2024-05-08T19:29:30.373168Z", + "iopub.status.idle": "2024-05-08T19:29:30.391329Z", + "shell.execute_reply": "2024-05-08T19:29:30.390392Z" } }, "outputs": [ @@ -470,7 +470,7 @@ }, { "cell_type": "markdown", - "id": "5a28983b", + "id": "cd957699", "metadata": {}, "source": [ "For more control on the output and many more options, such as transform\n", @@ -482,13 +482,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "70997c47", + "id": "8d03b490", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.047306Z", - "iopub.status.busy": "2024-05-08T19:19:57.047208Z", - "iopub.status.idle": "2024-05-08T19:19:57.051106Z", - "shell.execute_reply": "2024-05-08T19:19:57.050733Z" + "iopub.execute_input": "2024-05-08T19:29:30.394888Z", + "iopub.status.busy": "2024-05-08T19:29:30.394638Z", + "iopub.status.idle": "2024-05-08T19:29:30.400054Z", + "shell.execute_reply": "2024-05-08T19:29:30.399387Z" } }, "outputs": [ @@ -509,7 +509,7 @@ }, { "cell_type": "markdown", - "id": "e25dd666", + "id": "c6d0df07", "metadata": {}, "source": [ "## Gotcha while accessing coordinates\n", @@ -524,13 +524,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "07dbdafe", + "id": "40200c1b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.052999Z", - "iopub.status.busy": "2024-05-08T19:19:57.052870Z", - "iopub.status.idle": "2024-05-08T19:19:57.056265Z", - "shell.execute_reply": "2024-05-08T19:19:57.055862Z" + "iopub.execute_input": "2024-05-08T19:29:30.404060Z", + "iopub.status.busy": "2024-05-08T19:29:30.403823Z", + "iopub.status.idle": "2024-05-08T19:29:30.409103Z", + "shell.execute_reply": "2024-05-08T19:29:30.408562Z" } }, "outputs": [ @@ -581,7 +581,7 @@ }, { "cell_type": "markdown", - "id": "973e61c4", + "id": "d94dd186", "metadata": {}, "source": [ "The following would instead throw `AttributeError`, since `simple_source_icrs` was instanced using R.A. and Dec. and hence does not have the `l`, `b` parameters:" @@ -590,13 +590,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "6306f022", + "id": "704027f9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.058524Z", - "iopub.status.busy": "2024-05-08T19:19:57.058431Z", - "iopub.status.idle": "2024-05-08T19:19:57.060579Z", - "shell.execute_reply": "2024-05-08T19:19:57.060178Z" + "iopub.execute_input": "2024-05-08T19:29:30.413805Z", + "iopub.status.busy": "2024-05-08T19:29:30.413346Z", + "iopub.status.idle": "2024-05-08T19:29:30.418908Z", + "shell.execute_reply": "2024-05-08T19:29:30.418080Z" } }, "outputs": [ @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "222eb03d", + "id": "0cf4e43d", "metadata": {}, "source": [ "In all cases, independently on how the source was instanced, you can obtain the *values* of coordinates in degrees\n", @@ -627,13 +627,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "d7a59471", + "id": "f70a3a04", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.062533Z", - "iopub.status.busy": "2024-05-08T19:19:57.062399Z", - "iopub.status.idle": "2024-05-08T19:19:57.065682Z", - "shell.execute_reply": "2024-05-08T19:19:57.065186Z" + "iopub.execute_input": "2024-05-08T19:29:30.425822Z", + "iopub.status.busy": "2024-05-08T19:29:30.425472Z", + "iopub.status.idle": "2024-05-08T19:29:30.434018Z", + "shell.execute_reply": "2024-05-08T19:29:30.433371Z" } }, "outputs": [ @@ -671,7 +671,7 @@ }, { "cell_type": "markdown", - "id": "e6a81b6e", + "id": "75bb6ab3", "metadata": {}, "source": [ "## Fitting the source position\n", @@ -682,13 +682,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "035237a0", + "id": "f7380d7f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.067640Z", - "iopub.status.busy": "2024-05-08T19:19:57.067544Z", - "iopub.status.idle": "2024-05-08T19:19:57.075897Z", - "shell.execute_reply": "2024-05-08T19:19:57.075521Z" + "iopub.execute_input": "2024-05-08T19:29:30.437326Z", + "iopub.status.busy": "2024-05-08T19:29:30.437081Z", + "iopub.status.idle": "2024-05-08T19:29:30.446740Z", + "shell.execute_reply": "2024-05-08T19:29:30.446000Z" } }, "outputs": [ @@ -710,7 +710,7 @@ }, { "cell_type": "markdown", - "id": "d6f02ff0", + "id": "4354b07e", "metadata": {}, "source": [ "For a source created in Galactic coordinates, instead use the following:" @@ -719,13 +719,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "bb76f1c7", + "id": "f4059c5c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.077767Z", - "iopub.status.busy": "2024-05-08T19:19:57.077673Z", - "iopub.status.idle": "2024-05-08T19:19:57.086125Z", - "shell.execute_reply": "2024-05-08T19:19:57.085762Z" + "iopub.execute_input": "2024-05-08T19:29:30.450236Z", + "iopub.status.busy": "2024-05-08T19:29:30.449961Z", + "iopub.status.idle": "2024-05-08T19:29:30.454198Z", + "shell.execute_reply": "2024-05-08T19:29:30.453202Z" } }, "outputs": [ @@ -747,7 +747,7 @@ }, { "cell_type": "markdown", - "id": "9df60a66", + "id": "768e71b1", "metadata": {}, "source": [ "By default, the allowed range for the Right Ascension is from 0˚ to 360˚ and allowed declination values range from -90˚ to 90˚. **If fitting the source position, it is strongly recommended to restrict the coordinates to be inside the region of interest (ROI) at all times.** The source moving far enough from the ROI during the fit can lead to issues such as the minimizer getting \"stuck\" due to the likelihood surface being flat. For example:" @@ -756,13 +756,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "84367fca", + "id": "7498a21e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.088015Z", - "iopub.status.busy": "2024-05-08T19:19:57.087917Z", - "iopub.status.idle": "2024-05-08T19:19:57.091498Z", - "shell.execute_reply": "2024-05-08T19:19:57.091142Z" + "iopub.execute_input": "2024-05-08T19:29:30.458074Z", + "iopub.status.busy": "2024-05-08T19:29:30.457814Z", + "iopub.status.idle": "2024-05-08T19:29:30.469698Z", + "shell.execute_reply": "2024-05-08T19:29:30.468916Z" } }, "outputs": [ @@ -804,7 +804,7 @@ }, { "cell_type": "markdown", - "id": "03855e97", + "id": "f4ebe7de", "metadata": {}, "source": [ "## \"Calling\" a point source\n", @@ -815,13 +815,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "64df3beb", + "id": "bdb3bdaa", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.093458Z", - "iopub.status.busy": "2024-05-08T19:19:57.093328Z", - "iopub.status.idle": "2024-05-08T19:19:57.601827Z", - "shell.execute_reply": "2024-05-08T19:19:57.601385Z" + "iopub.execute_input": "2024-05-08T19:29:30.474294Z", + "iopub.status.busy": "2024-05-08T19:29:30.474025Z", + "iopub.status.idle": "2024-05-08T19:29:31.100874Z", + "shell.execute_reply": "2024-05-08T19:29:31.099829Z" } }, "outputs": [ @@ -878,7 +878,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3fda36b9", + "id": "eb97e896", "metadata": {}, "outputs": [], "source": [] diff --git a/_sources/notebooks/Power_law_on_sphere.ipynb.txt b/_sources/notebooks/Power_law_on_sphere.ipynb.txt index fc2c4a77..94b71dc1 100644 --- a/_sources/notebooks/Power_law_on_sphere.ipynb.txt +++ b/_sources/notebooks/Power_law_on_sphere.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "bd135130", + "id": "ef30ba9a", "metadata": { "papermill": { - "duration": 0.003821, - "end_time": "2024-05-08T19:22:27.694700", + "duration": 0.004109, + "end_time": "2024-05-08T19:32:30.487324", "exception": false, - "start_time": "2024-05-08T19:22:27.690879", + "start_time": "2024-05-08T19:32:30.483215", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "dc873c63", + "id": "549f734a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:27.698882Z", - "iopub.status.busy": "2024-05-08T19:22:27.698661Z", - "iopub.status.idle": "2024-05-08T19:22:29.627250Z", - "shell.execute_reply": "2024-05-08T19:22:29.626367Z" + "iopub.execute_input": "2024-05-08T19:32:30.496136Z", + "iopub.status.busy": "2024-05-08T19:32:30.495606Z", + "iopub.status.idle": "2024-05-08T19:32:32.683509Z", + "shell.execute_reply": "2024-05-08T19:32:32.682472Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.933959, - "end_time": "2024-05-08T19:22:29.629930", + "duration": 2.195682, + "end_time": "2024-05-08T19:32:32.686321", "exception": false, - "start_time": "2024-05-08T19:22:27.695971", + "start_time": "2024-05-08T19:32:30.490639", "status": "completed" }, "tags": [] @@ -68,20 +68,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "77d7a5be", + "id": "a4df0492", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:29.637932Z", - "iopub.status.busy": "2024-05-08T19:22:29.636428Z", - "iopub.status.idle": "2024-05-08T19:22:29.643446Z", - "shell.execute_reply": "2024-05-08T19:22:29.641639Z" + "iopub.execute_input": "2024-05-08T19:32:32.691057Z", + "iopub.status.busy": "2024-05-08T19:32:32.690570Z", + "iopub.status.idle": "2024-05-08T19:32:32.693854Z", + "shell.execute_reply": "2024-05-08T19:32:32.693085Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.014369, - "end_time": "2024-05-08T19:22:29.647041", + "duration": 0.007913, + "end_time": "2024-05-08T19:32:32.696150", "exception": false, - "start_time": "2024-05-08T19:22:29.632672", + "start_time": "2024-05-08T19:32:32.688237", "status": "completed" }, "tags": [ @@ -96,19 +96,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "68a57b2f", + "id": "e4e5f7be", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:29.651431Z", - "iopub.status.busy": "2024-05-08T19:22:29.651057Z", - "iopub.status.idle": "2024-05-08T19:22:29.660679Z", - "shell.execute_reply": "2024-05-08T19:22:29.659944Z" + "iopub.execute_input": "2024-05-08T19:32:32.699766Z", + "iopub.status.busy": "2024-05-08T19:32:32.699546Z", + "iopub.status.idle": "2024-05-08T19:32:32.702709Z", + "shell.execute_reply": "2024-05-08T19:32:32.701754Z" }, "papermill": { - "duration": 0.015255, - "end_time": "2024-05-08T19:22:29.663823", + "duration": 0.007563, + "end_time": "2024-05-08T19:32:32.705052", "exception": false, - "start_time": "2024-05-08T19:22:29.648568", + "start_time": "2024-05-08T19:32:32.697489", "status": "completed" }, "tags": [ @@ -124,21 +124,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "503ca9cf", + "id": "cf8b7f1f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:29.668472Z", - "iopub.status.busy": "2024-05-08T19:22:29.668092Z", - "iopub.status.idle": "2024-05-08T19:22:29.679292Z", - "shell.execute_reply": "2024-05-08T19:22:29.678564Z" + "iopub.execute_input": "2024-05-08T19:32:32.709293Z", + "iopub.status.busy": "2024-05-08T19:32:32.708945Z", + "iopub.status.idle": "2024-05-08T19:32:32.721742Z", + "shell.execute_reply": "2024-05-08T19:32:32.720790Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.01612, - "end_time": "2024-05-08T19:22:29.681503", + "duration": 0.017715, + "end_time": "2024-05-08T19:32:32.724198", "exception": false, - "start_time": "2024-05-08T19:22:29.665383", + "start_time": "2024-05-08T19:32:32.706483", "status": "completed" }, "tags": [] @@ -155,14 +155,14 @@ }, { "cell_type": "markdown", - "id": "511511c5", + "id": "3645dd43", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001077, - "end_time": 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b/_sources/notebooks/Powerlaw.ipynb.txt index 9f244723..ceb1c579 100644 --- a/_sources/notebooks/Powerlaw.ipynb.txt +++ b/_sources/notebooks/Powerlaw.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "93731371", + "id": "f3650fb4", "metadata": { "papermill": { - "duration": 0.012237, - "end_time": "2024-05-08T19:21:12.138210", + "duration": 0.007988, + "end_time": "2024-05-08T19:31:02.684572", "exception": false, - "start_time": "2024-05-08T19:21:12.125973", + "start_time": "2024-05-08T19:31:02.676584", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "60e13ada", + "id": "ad964962", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:12.151771Z", - "iopub.status.busy": "2024-05-08T19:21:12.151101Z", - "iopub.status.idle": "2024-05-08T19:21:13.552224Z", - "shell.execute_reply": "2024-05-08T19:21:13.551729Z" + "iopub.execute_input": "2024-05-08T19:31:02.698237Z", + "iopub.status.busy": 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"2024-05-08T19:21:14.046451", + "start_time": "2024-05-08T19:31:05.221263", "status": "completed" }, "tags": [] @@ -470,13 +470,13 @@ }, { "cell_type": "markdown", - "id": "c355eeaf", + "id": "a1eb1696", "metadata": { "papermill": { - "duration": 0.001665, - "end_time": "2024-05-08T19:21:14.279610", + "duration": 0.001894, + "end_time": "2024-05-08T19:31:05.560205", "exception": false, - "start_time": "2024-05-08T19:21:14.277945", + "start_time": "2024-05-08T19:31:05.558311", "status": "completed" }, "tags": [] @@ -491,19 +491,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "418497e9", + "id": "7e2a3c9b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:14.283605Z", - "iopub.status.busy": "2024-05-08T19:21:14.283463Z", - "iopub.status.idle": "2024-05-08T19:21:14.527105Z", - "shell.execute_reply": "2024-05-08T19:21:14.526772Z" + "iopub.execute_input": "2024-05-08T19:31:05.564776Z", + "iopub.status.busy": "2024-05-08T19:31:05.564572Z", + 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a/_sources/notebooks/Powerlaw_Eflux.ipynb.txt +++ b/_sources/notebooks/Powerlaw_Eflux.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "ee28fb90", + "id": "849ad2cf", "metadata": { "papermill": { - "duration": 0.01103, - "end_time": "2024-05-08T19:21:19.098368", + "duration": 0.001767, + "end_time": "2024-05-08T19:31:11.538532", "exception": false, - "start_time": "2024-05-08T19:21:19.087338", + "start_time": "2024-05-08T19:31:11.536765", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "76d83f28", + "id": "fb717dfe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:19.111154Z", - "iopub.status.busy": "2024-05-08T19:21:19.110443Z", - "iopub.status.idle": "2024-05-08T19:21:20.566556Z", - "shell.execute_reply": "2024-05-08T19:21:20.565821Z" + "iopub.execute_input": "2024-05-08T19:31:11.542266Z", + "iopub.status.busy": "2024-05-08T19:31:11.542027Z", + "iopub.status.idle": 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+++ b/_sources/notebooks/Powerlaw_Prior.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "cfadd568", + "id": "75effbea", "metadata": { "papermill": { - "duration": 0.004366, - "end_time": "2024-05-08T19:23:03.928731", + "duration": 0.004477, + "end_time": "2024-05-08T19:33:11.694984", "exception": false, - "start_time": "2024-05-08T19:23:03.924365", + "start_time": "2024-05-08T19:33:11.690507", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "6e75421c", + "id": "42f40c4b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:23:03.940619Z", - "iopub.status.busy": "2024-05-08T19:23:03.940113Z", - "iopub.status.idle": "2024-05-08T19:23:05.529867Z", - "shell.execute_reply": "2024-05-08T19:23:05.529134Z" + "iopub.execute_input": "2024-05-08T19:33:11.704782Z", + "iopub.status.busy": "2024-05-08T19:33:11.704074Z", + "iopub.status.idle": "2024-05-08T19:33:13.368989Z", + "shell.execute_reply": 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", 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", 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"2024-05-08T19:31:08.946465", "status": "completed" }, "tags": [] @@ -370,13 +370,13 @@ }, { "cell_type": "markdown", - "id": "168105f4", + "id": "82d000fb", "metadata": { "papermill": { - "duration": 0.001259, - "end_time": "2024-05-08T19:21:17.049808", + "duration": 0.001647, + "end_time": "2024-05-08T19:31:08.966523", "exception": false, - "start_time": "2024-05-08T19:21:17.048549", + "start_time": "2024-05-08T19:31:08.964876", "status": "completed" }, "tags": [] @@ -392,19 +392,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "366f406e", + "id": "f8a15245", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.052839Z", - "iopub.status.busy": "2024-05-08T19:21:17.052693Z", - "iopub.status.idle": "2024-05-08T19:21:17.491198Z", - "shell.execute_reply": "2024-05-08T19:21:17.490736Z" + "iopub.execute_input": "2024-05-08T19:31:08.970753Z", + "iopub.status.busy": "2024-05-08T19:31:08.970528Z", + "iopub.status.idle": "2024-05-08T19:31:09.550621Z", + "shell.execute_reply": "2024-05-08T19:31:09.549044Z" }, "papermill": { - "duration": 0.441518, - "end_time": "2024-05-08T19:21:17.492515", + "duration": 0.584738, + "end_time": "2024-05-08T19:31:09.552712", "exception": false, - "start_time": "2024-05-08T19:21:17.050997", + "start_time": "2024-05-08T19:31:08.967974", "status": "completed" }, "tags": [ @@ -437,14 +437,14 @@ }, { "cell_type": "markdown", - "id": "c18ac6f6", + "id": "81efdadd", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001405, - "end_time": "2024-05-08T19:21:17.495553", + "duration": 0.001806, + "end_time": "2024-05-08T19:31:09.556672", "exception": false, - "start_time": "2024-05-08T19:21:17.494148", + "start_time": "2024-05-08T19:31:09.554866", "status": "completed" }, "tags": [] @@ -459,19 +459,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "19544188", + "id": "dfba7ec4", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.498936Z", - "iopub.status.busy": 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"2024-05-08T19:31:09.877471", "status": "completed" }, "tags": [] @@ -524,19 +524,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "e5a9bea0", + "id": "496d0391", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.725330Z", - "iopub.status.busy": "2024-05-08T19:21:17.725184Z", - "iopub.status.idle": "2024-05-08T19:21:17.968126Z", - "shell.execute_reply": "2024-05-08T19:21:17.967730Z" + "iopub.execute_input": "2024-05-08T19:31:09.884626Z", + "iopub.status.busy": "2024-05-08T19:31:09.884382Z", + "iopub.status.idle": "2024-05-08T19:31:10.230488Z", + "shell.execute_reply": "2024-05-08T19:31:10.229810Z" }, "papermill": { - "duration": 0.246615, - "end_time": "2024-05-08T19:21:17.969513", + "duration": 0.351366, + "end_time": "2024-05-08T19:31:10.232576", "exception": false, - "start_time": "2024-05-08T19:21:17.722898", + "start_time": "2024-05-08T19:31:09.881210", "status": "completed" }, "tags": [] @@ -589,8 +589,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.327864, - "end_time": "2024-05-08T19:21:18.304685", + "duration": 4.278592, + "end_time": "2024-05-08T19:31:10.782470", "environment_variables": {}, "exception": null, "input_path": "Powerlaw_flux.ipynb", @@ -602,7 +602,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:14.976821", + "start_time": "2024-05-08T19:31:06.503878", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Priors_for_Bayesian_analysis.ipynb.txt b/_sources/notebooks/Priors_for_Bayesian_analysis.ipynb.txt index 1c933575..fecc24ad 100644 --- a/_sources/notebooks/Priors_for_Bayesian_analysis.ipynb.txt +++ b/_sources/notebooks/Priors_for_Bayesian_analysis.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "eec45e00", + "id": "cf19bb96", "metadata": {}, "source": [ "# Priors for Bayesian analysis\n", @@ -18,13 +18,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "394c4e27", + "id": "31a3d99d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:58.693146Z", - "iopub.status.busy": "2024-05-08T19:19:58.692534Z", - "iopub.status.idle": "2024-05-08T19:19:59.850244Z", - "shell.execute_reply": "2024-05-08T19:19:59.849782Z" + "iopub.execute_input": "2024-05-08T19:29:32.338272Z", + "iopub.status.busy": "2024-05-08T19:29:32.337580Z", + "iopub.status.idle": "2024-05-08T19:29:33.736903Z", + "shell.execute_reply": "2024-05-08T19:29:33.736144Z" }, "lines_to_next_cell": 2 }, @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "922a2c68", + "id": "0363bd3d", "metadata": {}, "source": [ "Now let’s assign uniform priors to the parameters of the powerlaw\n", @@ -52,13 +52,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "2f6ec6e4", + "id": "85e7cbc8", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.852676Z", - "iopub.status.busy": "2024-05-08T19:19:59.852427Z", - "iopub.status.idle": "2024-05-08T19:19:59.855535Z", - "shell.execute_reply": "2024-05-08T19:19:59.855177Z" + "iopub.execute_input": "2024-05-08T19:29:33.741013Z", + "iopub.status.busy": "2024-05-08T19:29:33.740444Z", + "iopub.status.idle": "2024-05-08T19:29:33.745748Z", + "shell.execute_reply": "2024-05-08T19:29:33.744986Z" } }, "outputs": [ @@ -163,7 +163,7 @@ }, { "cell_type": "markdown", - "id": "e3d2a22c", + "id": "976465cc", "metadata": {}, "source": [ "We can use it as such:" @@ -172,13 +172,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "0ab06b47", + "id": "7b03f1e2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.857614Z", - "iopub.status.busy": "2024-05-08T19:19:59.857476Z", - "iopub.status.idle": "2024-05-08T19:19:59.860801Z", - "shell.execute_reply": "2024-05-08T19:19:59.860340Z" + "iopub.execute_input": "2024-05-08T19:29:33.750877Z", + "iopub.status.busy": "2024-05-08T19:29:33.750569Z", + "iopub.status.idle": "2024-05-08T19:29:33.756419Z", + "shell.execute_reply": "2024-05-08T19:29:33.755542Z" } }, "outputs": [ @@ -208,7 +208,7 @@ }, { "cell_type": "markdown", - "id": "9fb9dc9f", + "id": "4bb89684", "metadata": {}, "source": [ "Now, lets's set a Gaussian prior on the spectral index" @@ -217,13 +217,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "b3755eb7", + "id": "1972b061", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.862740Z", - "iopub.status.busy": "2024-05-08T19:19:59.862642Z", - "iopub.status.idle": "2024-05-08T19:19:59.865599Z", - "shell.execute_reply": "2024-05-08T19:19:59.865246Z" + "iopub.execute_input": "2024-05-08T19:29:33.760603Z", + "iopub.status.busy": "2024-05-08T19:29:33.760353Z", + "iopub.status.idle": "2024-05-08T19:29:33.765168Z", + "shell.execute_reply": "2024-05-08T19:29:33.764232Z" } }, "outputs": [ @@ -252,13 +252,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "29488e6b", + "id": "d817eea0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.867505Z", - "iopub.status.busy": "2024-05-08T19:19:59.867379Z", - "iopub.status.idle": "2024-05-08T19:20:00.184883Z", - "shell.execute_reply": "2024-05-08T19:20:00.184464Z" + "iopub.execute_input": "2024-05-08T19:29:33.768738Z", + "iopub.status.busy": "2024-05-08T19:29:33.768515Z", + "iopub.status.idle": "2024-05-08T19:29:34.151558Z", + "shell.execute_reply": "2024-05-08T19:29:34.150691Z" } }, "outputs": [ @@ -274,7 +274,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -309,13 +309,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "28a55eef", + "id": "a936cb76", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:00.186894Z", - "iopub.status.busy": "2024-05-08T19:20:00.186698Z", - "iopub.status.idle": "2024-05-08T19:20:00.281933Z", - "shell.execute_reply": "2024-05-08T19:20:00.281377Z" + "iopub.execute_input": "2024-05-08T19:29:34.154872Z", + "iopub.status.busy": "2024-05-08T19:29:34.154588Z", + "iopub.status.idle": "2024-05-08T19:29:34.261829Z", + "shell.execute_reply": "2024-05-08T19:29:34.261070Z" } }, "outputs": [ @@ -331,7 +331,7 @@ }, { "data": { - "image/png": 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", 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6997pnb6CkpJWj/caUBb9R49qNtZ/9KhYVzWv2TTQ1s5rj5q5Vc3CX6OtNTVRM7cq+o8epdkMQELlfAAsKSmJsWPHxvTp0+P73/9+bN68Oa699toYN25cFBUVxcaNG6Ouri4GDBgQ++23X+y3334tvkdpaWkcfPDBWagegO5s8KSr4q9Trm71WK8BZXHMtGtiw5OLovZ/X41tdXWxd2Fh9D7i8FYDV0Hv4qiYeX3UzK2KzStWRlH5obsdzNqaThoRUfu/r8ayDwXNDfMXxJoHfhNl54w1RRQgAXI+AEZEXHPNNXHdddfF+PHjo6CgIMaMGRMTJ06MiIiZM2fGM888E48//niWqwQg13X2Ngv7HfuxOO6HP9ihC+jR8dGPVzR974PPPafd36+j57elremkERHb6upaNJvZtmVLrL73/lj/xAJdRwG6uR7pdDqd7SLyVWMTmOLi4hg8eHC2ywFgJ1pbF1d4UP+ouKn7rYlr7XeN+OD3LR40KDYueqrNxx564fmdEkIByJyO5JKc3wYCADrD2t8/1CIQ1b1RE2t//1CWKuo6Bb2Lo+KmG2PgeV+M4sMGRfFhg2LgeV+MiptujN5HHrHTxzZ2HW2oTcWaB+fEyzfPijUPzomGWl2vAbqDvJgCCgB76oPtEFp6a/Ezcci4L2S4mq5X0Ls4Dhn3hRa/W2vNZj6sqPxQm9IDdGPuAAKQEJ2zP2y+a2w2M/C8L8ZevXo1O9bYddSm9ADdlzuAACRCv5NPis3Ll7cY71t5Uhaqya7Gu4NlZ5/VatfRzt6UHoDcIQACkAhlZ58Vb/7PE7G1pnkTmLKzz8piVdnVVtfRXW1K39ndVAHIHAEQgEQo6F0cH7/5xk7ZZ6+729mm9NYHAuQ3ARCAxOisffa6u51tSr/mwTltrg90bQFynwAIALTQVli2PhAgv+kCCgC0W/Gg8lbHG9cHApDbBEAAoN36jx4VhWVlzcYa1wcCkPtMAQUA2m1n6wMByH0CIADQIbvTTKdu3Zvx6s9vjy2rVkevQwbG4ZdcHIUHlnZNgQC0yRRQAKBL1a17M5Zeelm889zS2Lp+fbzz3NJYeullUbfuzWyXBpA4AiAA0KVe/fntkd62rdlYetu2ePXnt2epIoDkEgABgC61ZdXq1sdXr8lwJQBYAwgAdKlehwyMrevXtxjf96D+sebBOZFaviKKB5VrJgOQAe4AAgBd6vBLLo4ee+/dfHDvvWNrTU2svPPu2DB/Qay88+5YduWkaKhNZadIgIQQAAGALlV4YGmc8NNbos+JJ8S+paXR58QTYsA5Y2PrDk1g6taujZq5VVmqEiAZTAEFALpc4YGlcex3pzZ9/fLNs1o9b/OKlRmqCCCZ3AEEADKueFB5q+NF5YdmthCAhBEAAYCM6z96VBSWlTUb6zWgLPqPHpWligCSwRRQALpEQ20qauZW6fBIqwp6F0fFzOujZm5VbF6xMorKD/UcAcgAARCATtdQm4plV06KurVrIyJiw/wFsa5qXlTMvN4bfJoU9C6Og889J9tlACSKKaAAdLqauVVN4a+RDo8AkH0CIACdLrV8RavjOjwCQHYJgAB0Oh0eASA3CYAAdDodHgEgN2kCA8Aeaavbpw6PAJB7BEAAdktDbSrW/v6heH3Of8X2LVsiomW3Tx0eASC3mAIKQIc1bvOw+t77m8JfI90+ASB3CYAAdFhr2zx8mG6fAJCbBEAAOqytbR4a6fYJALlJAASgw9ra5iFCt08AyGUCIAAd1to2D3v36hUDz/tiDL3xet0+ASBH6QIKQIfZ5oF80NYWJQBJJgACsFts80Aua+xU29isaMctSgCSyhRQAFpoqE3FmgfnxMs3z4o1D86JhtpUtkuCDmmtU60tSgDcAQRgB3Xr3oxlV0yMhk2bIsKdE/JTW51qax55NCLCdFAgsdwBBKBJQ22qWfhr5M4J+aatTrVb31wfK++8O5ZdOcmdbSCRBEAAmtTMrWoR/hrZ3J180lqn2g/zoQaQVAIgAE12tsG7zd3JJ42dag+98PzYt/SAVs/xoQaQRAIgAE3amjZXUFJic3fyTmOn2v5nnN7qcR9qAEmkCQxAgu24T9r+p3wy1lXNa9Y9saCkJCpuukHDDPJW/9GjWjyvew0o86EGkEgCIEBCtbVP2rHXXhMbnlxkg3e6jcbpoDVzqzyvgcQTAAESqq190jY8ucgG73Q7jdNBAZLOGkCAhGqr4YvGGADQfQmAAAnVVsMXjTEAoPsSAAESqrV90jTGAIDuzRpAgITSGAMAkkcABEgwjTEAIFlMAQUAAEgIARAAACAhTAEFAGhDQ20qauZWRWr5iigeVG6dLJD3BEAAgFY01KZi2ZWTom7t2oiI2DB/QayrmhcVM68XAoG8ZQooAEArauZWNYW/RnVr10bN3KosVQSw5wRAAIBWpJavaHV884qVmS0EoBMJgAAArSgeVN7qeFH5oZktBKATCYAAAK3oP3pUFJaVNRvrNaAs+o8elaWKAPacJjAAeU6XQugaBb2Lo2Lm9VEztyo2r1gZReWH+vsF5D0BECCP6VIIXaugd3EcfO452S4DoNOYAgqQx3QpBAA6QgAEyGO6FAIAHSEAAuQxXQoBgI6wBhAgj+zY8GX/Uz4Z66rmNZsGqkshANAWARAgT7TV8OXYa6+JDU8u0qUQANglARAgT7TV8GXDk4t0KQQA2kUABMgTGr5AfrA3J5DLBECAPFE8qDw2zF/QYlzDF8gd9uYEcp0uoAB5ov/oUVFYVtZsTMMXyC1tTdV++UezoqE2laWqAP6PO4AAeaKgd3FUzLw+auZWafgCOaqtqdrvPLc0ll05yZ1AIOsEQIA8UtC7WMMXyGFtTdWO+OBOYM3cKn+HgawyBRQAoJO0NlX7wzRtArLNHUCAHNJQm4q1v38oNj79TESko9/JlVF29lmmjEGeaJyq/fKPZsU7zy1tcVzTJiDb3AEEyBENtal4/vKrYvW998fm5ctj8/IVsfre+2PZFVdpHgF5pKB3cRz9nX/WtAnISe4AAuSImrlVsbWmpsV43Rs11g1BntG0CchVAiBAjmire2CEdUOQjzRtAnKRAAiQI3bWPdC6IeheGmpTUTO3KlLLV0TxoHJ3B4GMEQABckT/0aOi5rGW00ALDzrIuiHoRhpqU7HsyklNG8ZvmL8g1lXNs0cgkBECIECOKOhdHB+/+cZY+/uH4q3Fz0RERN/Kk3QBhW6mZm5VU/hrZI9AIFMEQIAcUtC7OA4Z94U4ZNwXsl0K0EXaWu9rrS+QCbaBAADIoOJB5a2OW+sLZIIACACQQf1Hj7JHIJA1poACAGSQPQKBbBIAAQAyrK09Am0PAXQ1ARAAIAfYHgLIBGsAAQBywM62hwDoLAIgAEAOsD0EkAkCIABADrA9BJAJOR8A6+vrY9q0aVFZWRnDhg2LKVOmRCqVavXcLVu2xHe/+92orKyMT3ziE3HhhRfGiy++mOGKAQA6zvYQQCbkfACcMWNGLFq0KGbNmhW33XZbVFdXx9SpU1s998Ybb4wnnngibrzxxrjzzjujqKgoLr744ti0aVOGqwYA6JjG7SEOvfD8OOC0U+PQC8+PoTdqAAN0rpzuArpp06aYPXt23HrrrTF8+PCIiJg8eXJccMEFsXHjxujXr1/Tudu2bYvf/e53MXXq1DjttNMiIuKGG26IYcOGxfPPPx+nnnpqVn4HAID2amt7CIDOktN3AJcuXRoR0RT+IiIqKiqioKAgFi9e3Ozc2traOOKII+LYY49tGtt7772jR48esXXr1swUDAAAkMNy+g7gqlWrorS0NHr27Nk01rNnz+jbt29s3Lix2bn77bdfPPDAA01fb926NW655ZYoKSmJYcOG7XYNI0aMaPPYhAkT4rDDDtvt7w0AAJBJOR0AU6lUFBYWthgvKipqsxFMxAdTP3/5y19GOp2OCRMmRJ8+fbqwSgAAgPyQ0wGwpKQk6urqWoxv3bo1SkpK2nzcN77xjTjjjDNi/vz58W//9m9xyCGHxNlnn71bNSxcuLDNY9XV1TsNokCyNNSmomZuVaSWr4jiQeXRf/QozRsAgJyS0wGwtLQ01q9fH/X19U3TQBsaGmL9+vUxYMCAZufW1NTEX//61/jMZz4T/fr1i379+sXQoUPjT3/6U8ybN2+3AyBAezTUpmLZlZOibu3aiIjYMH9BrKuaFxUzdfADAHJHTjeBqaysjHQ6Hc8++2zT2JIlSyKdTrdY17dq1ar4p3/6p1i+fHmz8fr6+mbdQgG6Qs3cqqbw16hu7dqomVuVpYoAAFrK6QBYUlISY8eOjenTp8eSJUviiSeeiClTpsS4ceOiqKgoNm7cGK+//npERBx//PExaNCgmDJlSjz11FPx4osvxk033RR/+tOf4nOf+1yWfxOgu0stX9Hq+OYVKzNbCADATuR0AIyIuOaaa+LEE0+M8ePHx1VXXRWf+cxnYuLEiRERMXPmzDj//PMjImKfffaJX/ziF/HRj340/uVf/iUuvPDCeP755+OOO+6Ij33sY9n8FYAEKB5U3up4UfmhmS0EAGAneqTT6XS2i8hXjU1giouLY/DgwdkuB8iiHdcARkT0GlAWQ2+0BhAA6FodySU53QQGIF8U9C6OipnXR83cqti8YmUUlR+qCyiQEToQAx0hAAJ0koLexXHwuedkuwwgQXQgBjoq59cAAgDQOh2IgY5yBxCgnUyzAnKNDsRARwmAAO1gmhWQi4oHlceG+QtajOtADLTFFFCAdjDNCshF/UePisKysmZjvQaURf/Ro7JUEZDr3AEEaAfTrIBcpAMx0FECIMBONK7727x6davHTbMCsk0HYqAjBECANrS2ufuHmWYFAOQbARCgDa2t+4uIKD5sUOw/coRpVgBA3hEAAdrQ1rq/ooEDTbcCAPKSLqAAbSgeVN7quHV/AEC+EgAB2qC9OgDQ3ZgCCtAG7dUBgO5GAATYCe3Vge6kcWub1PIVUTyo3IdakEACIABAAuy4tc2G+QtiXdW8qJh5vRAICWINIABAArS2tU3d2rVRM7cqSxUB2SAAAgAkQFtb22xesTKzhQBZJQACACSArW2ACAEQACARbG0DRGgCAwCQCLa2ASIEQCCBtEEHksrWNoAACCSKNugAQJJZAwgkijboAECSuQMIJIo26ABtM0Ueuj8BEEiU4kHlsWH+ghbj2qADSWeKPCSDKaBAomiDDtA6U+QhGdwBBBJFG3SA1rU1RX7DgoVeJ6EbEQCBxNEGHaCltqbIp15bHsuunGQqKHQTHZ4C+v7778fQoUNj3rx5XVEPAABZ0NoU+UamgkL30eEAuM8++8SwYcPiqaee6op6ADpNQ20q1jw4J16+eVaseXBONNSmsl0SQM5qnCJfNGhQq8d1S4buYbemgJ5//vkxadKk2LZtW4wcOTJ69erV4pzhw4fvcXEAu0s3O4COK+hdHAecOiJWLl/e4phuydA97FYAHD9+fERE3HvvvXHvvfc2jffo0SPS6XT06NEjXnrppc6pEGA37KybnfV/AG3rP3pUrKua1+w1VLdk6D52KwDeddddnV0HQKey4TvA7tEtGbq33QqAJ510UmfXAdCpbPgOsPt0S4bua7c3gq+uro5LL700KisrY8iQIfGZz3wmrr322njjjTc6sz6A3WLDdwCAlnbrDmB1dXWcd9550adPn/j7v//7KC4ujtdffz1+97vfxSOPPBK//vWv44gjjujsWgHazRQmAICWeqTT6XRHH3TJJZdEKpWKO+64I/bdd9+m8U2bNsU//uM/Rt++feMnP/lJpxaai6qrqyOVSkVxcXEMHjw42+UAAAAJ1JFcsltTQJcsWRLjxo1rFv4iIkpKSuLLX/5yPPvss7vzbQEAAOhCuxUA0+l0NDQ0tHps+/btUVdXt0dFAQAA0Pl2KwAef/zxcd9990V9fX2z8XQ6Hb/97W/j6KOP7pTiAAAA6Dy71QTmX/7lX+L888+P008/Pc4666w46KCD4q233opHH300XnvttfjpT3/a2XUCAJCDGmpTUTO3KlLLV0TxoHINtyDH7VYTmIiIv/zlL3HzzTfHs88+2zQddPDgwfHP//zP8alPfaoza8xZmsAAAEnWUJuKZVdOirq1a5vGCsvKomLm9UIgZFBHcslu3QGMiBgyZEj8x3/8R9TX18fbb78dxcXF0bt37939dgAA5JmauVXNwl9ERN3atVEzt8pG8pCj2h0An3rqqTjmmGNiv/32i6eeemqX5w8fPnyPCgMAILellq9odXzzipWZLQRot3YHwK9+9avxi1/8IkaMGBFf/epXo0ePHrHj7NHGsR49esRLL73U6cUCAJA7igeVx4b5C1qMF5UfmoVqgPZodwC86667muaT3nXXXV1WEEBrNBkAyD39R4+KdVXzmq8BPOig2F5fHy/fPMvrNeSgDjeBef/99+Ohhx6K4cOHx4EHHthVdeUFTWAgMzQZAMhdjR/QbV6xMgrLDoo3/+eJ2FpT03Tc6zV0vY7kkg7vA7jPPvvEjBkzYsmSJbtdIEBH7KzJAADZVdC7OA4+95w46jsTYq+ePZuFvwiv15Brdmsj+PPPPz/uvvvu2LJlS2fXA9CCJgMA+aGt1+sNCxZGQ20qs8UArdqtbSDefffdWLFiRXzmM5+JE088MXr16tXseI8ePeKGG27olAIBNBkAyA9tvV6nXlsey66cZCoo5IDdCoDz5s2L4uIP/vK+8MILLY736NFjz6oC+JDWmgz0GlAW/UePymJVAOyotdfrRvYHhNzQ4QD47rvvxr/9279F//79Y//99++KmgCaKehdHBUzr29qMlBUfqiucgA5qPH1+i9Xfzc2tzId1NR9yL52B8AtW7bEtGnT4r//+7+bxk455ZSYPn16HHTQQV1SHJBMbW354FNjgNxX0Ls4Djh1ZKxsJQCaug/Z1+4A+OMf/zj+67/+K84555wYMmRIvPHGG3HPPffEpZdeGnPmzOnCEoEk2XHLhw3zF8S6qnnWjQDkEVP3IXe1OwA+9thj8dWvfjUmTpzYNHbMMcfE5ZdfHitWrIjy8vKuqA9ImJ1t+eAOIEB+MHUfcle7A+DatWtj2LBhzcZOPvnkSKfT8fbbbwuAwB5rqE3F+la6x0VYNwKQb0zdh9zU7gCYTqejZ8+ezcYKCwubjgHsibp1b8ayKyZGw6ZNrR63bgQAYM/t1kbwAJ2poTa10/Bn3QgAQOfoUABsa38/+/4Be6JmblWb4a/4sEEx9EYNYAAAOkOH9gH8xje+0er4l770pWZf9+jRI1588cXdrwpIjJ2t+4uI2H/kCOEPAKCTtDsA/sM//ENX1gEk0I5bPuyooKTE1E8AgE7U7gA4Y8aMrqwDSKDWtnxoVFBSEhU33eDuHwBAJ9IEBsia1PIVrY4XHzYoTvzpLVF4YGlmCwIA6OYEQCBrigeVtzpu3R8AQNcQAIGs6T96VBSWlTUbs+UDAEDX6VAXUIDOVNC7OCpmXh81c6ti84qVUVR+aPQfPcrdPwCALiIAAllV0Ls4Dj73nGyXAQCQCKaAAgAAJIQACAAAkBACIAAAQEIIgAAAAAkhAAIAACSEAAgAAJAQAiAAAEBC2AcQAICc11Cbipq5VZFaviKKB5VH/9GjoqB3cbbLgrwjAAIAkNMaalOx7MpJUbd2bUREbJi/INZVzYuKmdcLgdBBpoACAJDTauZWNYW/RnVr10bN3KosVQT5yx1AoFOYmgNAV0ktX9Hq+OYVKzNbCHQD7gACe6xxas7KO++ODfMXxMo7745lV06KhtpUtksDoBsoHlTe6nhq1epY8+Ac/95ABwiAwB4zNQeArtR/9KgoLCtrMb55+XIfOkIHCYDAHjM1B4CuVNC7OCpmXh+HXnh+FB82qMVxHzpC+wmAwB5ra2pOUfmhmS0EgG6roHdxHHzuOdHr4INbPe5DR2gfARDYY61Nzek1oCz6jx6VpYoA6K586Ah7RhdQoMNa6/hZMfP6qJlbFZtXrIyi8kN1AQWgS/QfPSrWVc1rtvbch47Qfj3S6XQ620Xkq+rq6kilUlFcXByDBw/OdjmQETtuxhsRUVhWZjNeADKm8YNIHzrCBzqSS9wBBDpkZx0/Dz73nOwUBUCiNK4H3JE9aWHXBECgQ3T8BCAX7ThDZcP8BbGuap4ZKrCDnG8CU19fH9OmTYvKysoYNmxYTJkyJVKp1vd5aWhoiH/913+NU089NY477rg488wz4+GHH85wxdA9NdSmYs2Dc2Lz6jWtHrf4HoBssicttE/OB8AZM2bEokWLYtasWXHbbbdFdXV1TJ06tdVzf/KTn8Q999wTkyZNit/85jfx93//9/Gd73wnXnjhhQxXDd1L46eqK++8OzYvX97iuMX3AGSbGSrQPjk9BXTTpk0xe/bsuPXWW2P48OERETF58uS44IILYuPGjdGvX79m5z/wwANx8cUXx5lnnhkREYMHD46nnnoq7rvvvpg+fXrG64fuorVPVSMiig8bFPuPHGGNBQBZVzyoPDbMX9Bi3AwVaC6n7wAuXbo0IqIp/EVEVFRUREFBQSxevLjZuVu3bo299947Kioqmo3369cv1q9f3/XFQjfW1qeqRQMHxsHnniP8AZB19qSF9snpO4CrVq2K0tLS6NmzZ9NYz549o2/fvrFx48Zm5+67777xxBNPNBtbuXJlLFq0KC666KLdrmHEiBFtHpswYUIcdthhu/29IV/4VBWAXFfQu9ietNAOOR0AU6lUFBYWthgvKipqsxFMoz/84Q/x3e9+N/r27Rtf+9rXuqpESASb7gKQD9raHgL4PzkdAEtKSqKurq7F+NatW6OkpKTVx7z11ltxzTXXxB/+8If49Kc/HT/4wQ/iIx/5yG7XsHDhwjaPNW64CN2dT1UBALqHnA6ApaWlsX79+qivr2+aBtrQ0BDr16+PAQMGtDh/9erVcf7558f27dvjlltuiVGj3J2AzuJTVQCA/JfTTWAqKysjnU7Hs88+2zS2ZMmSSKfTMWzYsBbnf/e7341evXrFnDlzhD8AAIAd5PQdwJKSkhg7dmxMnz49vv/978fmzZvj2muvjXHjxkVRUVFs3Lgx6urqYsCAAfHWW2/FU089FdOnT4/33nsv3nvvvabvU1hYGAceeGAWfxMAAIDsy+kAGBFxzTXXxHXXXRfjx4+PgoKCGDNmTEycODEiImbOnBnPPPNMPP7447FmzZpIp9Nx9dVXt/geJ510Utx9992ZLh3ySkNtKmrmVkVq+YooHlRujR8AQDfUI51Op7NdRL5qbAJTXFwcgwcPznY5sNsaalOx7MpJzbp8FpaVRcXM64VAAIAc15FcktNrAIHMqJlb1Sz8RUTUrV0bNXOrslQRAABdQQAEIrV8Ravjm1eszGwhAAB0qZxfAwh0veJB5bFh/oIW40Xlh2ahGgDIjLp1b8arP789tqxaHb0OGRiHX3JxFB5Ymu2yoEu5AwhE/9GjorCsrNlYrwFl0X+07VQA6J7q1r0ZSy+9LN55bmlsXb8+3nluaSy99LKoW/dmtkuDLuUOIBAFvYujYub1UTO3KjavWBlF5YfqAgpAt/bqz2+P9LZtzcbS27bFqz+/PY797tQsVQVdTwAEIuKDEHjwuedkuwwAyIgtq1a3Pr56TYYrgcwyBRQAgMTpdcjA1scHHpzhSiCzBEAAABLn8Esujh57791srEdBQRx+ycVZqggyQwAEACBxCg8sjRN+ekv0OfGE2Le0NPqceEKc8JMf6wJKt2cNIAAAiVR4YKmGLySOO4AAAAAJIQACAAAkhAAIAACQENYAQjfWUJuKmrlVkVq+IooHldvcHQAg4QRA6Kbq1r0Zy66YGA2bNkVExIb5C2Jd1byomHm9EAgAkFCmgEI31FCbahb+GtWtXRs1c6uyVBUA5KeG2lSseXBOvHzzrFjz4JxoqE1luyTYbe4AQjdUM7eqRfhrtHnFygxXAwD5q6E2FcuunBR1a9dGhBk15D93AKEbSi1f0eaxovJDM1cIAOS5mrlVTeGvkRk15DMBELqh4kHlrY4XlJRE/9GjMlsMAOSxtj5UNaOGfCUAQjfUf/SoKCwrazZWUFISFTfdYLoKAHRAWx+qmlFDvrIGELqhgt7FUTHz+qiZWxWbV6yMovJDbQEBALuh/+hRsa5qXrNpoL0GlJlRQ94SAKGbKuhdHAefe062ywCAvNbWh6oREWsenGOvXfKOAAgAADux44eqOoOSz6wBBACADtAZlHwmAAIAQAfoDEo+EwABAKAD2uoM+n5tbbx886xY8+CcaKhNZbYoaCdrACGP1K17M179+e2xZdXq6HXIwDj8kouj8MDSbJcFAInSWmfQHgV7xzvPLY0IawLJbe4AQp6oW/dmLL30snjnuaWxdf36eOe5pbH00suibt2b2S4NABKlsTPooReeHwecdmr0OfGESDdsa3aONYHkKgEQ8sSrP7890tua/+OS3rYtXv357VmqCACSq7Ez6FHfmRAFxa3f5bMmkFwkAEKe2LJqdevjq9dkuBIA4MPaWhOYWrXaekByjgAIeaLXIQNbHx94cIYrAQA+rP/oUVFYVtZifPPy5bHyzrtj2ZWThEByhgAIeeLwSy6OHnvv3WysR0FBHH7JxVmqCACIaL4msPiwQS2OWw9ILhEAIU8UHlgaJ/z0luhz4gmxb2lp9DnxhDjhJz/WBRQAckDjmsBeB7c+M8d6QHKFbSAgjxQeWBrHfndqtssAANpQPKg8Nsxf0GK8qPzQLFQDLbkDCAAAnaS19YC9BpRF/9GjslQRNOcOIAAAdJLG9YA1c6ti84qVUVR+aPQfPcqG8OQMARAAADpR43pAyEUCIOSQhtpU1MytitTyFVE8qNwnhgAAdCoBEHJEQ20qll05KerWro2IiA3zF8S6qnlRMfN6IRAAgE6hCQzkiJq5VU3hr5F9gwAA6EwCIOSI1PIVrY7bNwgAgM5iCijkCPsGAUDyWP9PpgmAkCP6jx4V66rmNZsGat8gAOi+rP8nGwRAyIK2Pu2zbxAAJMfO1v/bRoKuIgBChu3q0z4v+ACQDNb/kw2awECG6fYJAER8sP6/Ndb/05UEQMgwn/YBABEfrP8vLCtrNmb9P13NFFDIgA+v+WtIpVo9x6d9AJAsba3/j4hY8+AcnUHpEgIgdLEd1/xFRPTYe+9Ib9vW9LVP+wAgmXZc/68zKF1NAIQu1tqav/S2bdHnxBNin969dfsEAJq01Svg5R/NiqO/88/eL7DHrAGELtbWmr99eveOo74zIQ4+9xwv5gBARLT9vuGd55bG85dfFQ21rS8lgfYSAKGL6fAFALRXW+8bIiK21tTE2t8/lLli6JYEQOhiOnwBAO3V2vuGD3tr8TMZrIbuyBpA6GJtdfgy7RMA2FHj+4al35oQ77/1drbLoRsSACEDduzwBQDQloLexdH/70fH6nvvb3Gsb+VJWaiI7sQUUAAAyDFlZ58VhQf1bzZWeNBBUXb2WVmqiO7CHUAAAMgxBb2Lo+KmG20ST6cTAAEAIAfZJJ6uYAooAADkgbY2ia+ZW5WlishHAiAAAOSBtjaJ37xiZWYLIa8JgAAAkAfa2iS+qPzQzBZCXhMAAQAgD7S2SXyvAWVNzWGgPTSBAQCAPNC4SfyOnUE1gKEjBEDogIbaVNTMrdJ6GQDIih07g0JHCYDQTlovAwCQ76wBhHbSehkAgHwnAEI7ab0MAEC+EwChnbReBgAg3wmA0E5aLwMAkO80gYF20noZAIB8JwBCB2i9DABAPjMFFAAAICEEQAAAgIQwBRTig03ea+ZWRWr5iigeVG5tHwAA3ZIASOI11KZi2ZWTmjZ53zB/QayrmhcVM68XAgEA6FZMASXxauZWNYW/RnVr10bN3KosVQQAAF1DACTxUstXtDq+ecXKzBYCAABdTAAk8YoHlbc6XlR+aGYLAQCALiYAknj9R4+KwrKyZmO9BpRF/9GjslQRAAB0DU1gSLyC3sVRMfP6qJlbFZtXrIyi8kN1AQUAoFsSACE+CIEHn3tOtssAAMgqW2N1fwIgAABga6yEsAYQAACwNVZCCIAAAICtsRJCAAQAAGyNlRACIAAAYGushNAEBgAAsDVWQgiAdCtaFwMA7D5bY3V/eTEFtL6+PqZNmxaVlZUxbNiwmDJlSqRSqV0+buzYsfHoo49moEJyQWPr4pV33h0b5i+IlXfeHcuunBQNtbt+rgAAQBLkRQCcMWNGLFq0KGbNmhW33XZbVFdXx9SpU9s8f/PmzfHv//7v8fLLL2ewSrJN62IAANi5nJ8CumnTppg9e3bceuutMXz48IiImDx5clxwwQWxcePG6NevX7Pz//u//zuuuuqq2L59ezbKJYu0LgYAyAzLbvJXzt8BXLp0aUREU/iLiKioqIiCgoJYvHhxi/NHjhwZDz74YMyZMydTJZIjtC4GAOh6lt3kt5y/A7hq1aooLS2Nnj17No317Nkz+vbtGxs3bmxxfp8+faJPnz6d9vNHjBjR5rEJEybEYYcd1mk/iz3Tf/SoWFc1r9k0UK2LAQA6186W3Wggk/tyPgCmUqkoLCxsMV5UVNSuRjAkh9bFAABdz7Kb/JbzAbCkpCTq6upajG/dujVKSkq6/OcvXLiwzWPV1dVCaI7RuhgAoGsVDyqPDfMXtBi37CY/5PwawNLS0li/fn3U19c3jTU0NMT69etjwIABWawMAACSp//oUVFYVtZszLKb/JHzdwArKysjnU7Hs88+G5/85CcjImLJkiWRTqdj2LBhWa4OAACSxbKb/JbzAbCkpCTGjh0b06dPj+9///uxefPmuPbaa2PcuHFRVFQUGzdujLq6OncDAQAgQyy7yV85HwAjIq655pq47rrrYvz48VFQUBBjxoyJiRMnRkTEzJkz45lnnonHH388y1UCAADkth7pdDqd7SLyVWMTmOLi4hg8eHC2ywEAABKoI7kkL+4AAgAA+a2hNhU1c6sitXxFFA8qt24wSwRAcoYXBQCA7qmhNhXLrrgq6t6oiYiIDfMXxLq5VVFx043e72WYAEhOaKhNxbIrJ0Xd2rUR8f9/UaiaFxUzr/eiAACQ59b+/qGm8Neo7o2aWPv7h+KQcV/IUlXJlPP7AJIMNXOrmsJfo7q1a6NmblWWKgIAoLNsfHpxq+M1j82NhtpUhqtJNgGQnJBavqLV8c0rVma2EAAAukCPVkfff+vtePYbl8Sq+x4QBDNEACQnFA8qb3W8qPzQzBYCAECn63fySW0e27ZlS6y+9/5YduUkITADBEByQv/Ro6KwrKzZWK8BZdF/9KgsVQQAQGcpO/us2Ld//52eY/lPZmgCQ04o6F0cFTOvj5q5VbF5xcooKj9UF1AAgG6ioHdxfPzmG+PlH82Kd55b2uZ5lv90PQGQnFHQuzgOPvecbJcBAEAXKOhdHEd/55+bdX7fUWHZQbHmwTm2BetCPdLpdDrbReSr6urqSKVSUVxcHIMHD852OTnL/n4AADRqqE3F2t8/FK/P+a/YvmVL03jhQR9MEf3wdhGFZWW2BWuHjuQSAXAPCIC7tuP+fhH+IgMA8H83CRqX/2yvr4/V997f4rxDLzzfLLFd6EguMQWULrWz/f38RQYASK4dl/+8fPOsVs+zLrBz6QJKl7K/HwAA7WFbsMxwB5BO9+E1fw2p1vdy8RcZAIAP6z96VKyrmtds9phtwTqfAEinam3NX4+99470tm1NX/uLDADAjmwLlhkCIJ2qtTV/6W3bos+JJ8Q+vXv7iwwAQJtsC9b1BEA6VVtr/vbp3TuO+s6EzBYDAAA0owkMncriXQAAyF3uANKpLN4FACCTPtyAsHhQueVGuyAA0qks3gUAIFN2bEC4Yf6CWFc1LypmXu/9ZxsEQNqtvZ+uWLwLAEAmtNaAsG7t2qiZW+X9aBsEQNrFpysAAOSathoQbl6xMrOF5BFNYGiXnX26AgAA2aABYccJgLSLT1cAAMg1/UePisKysmZjGhDunCmgtEvxoPLYMH9Bi3GfrgAAkC0aEHacAEgzbTV6sb0DAAC5qL0NCG0X8YEe6XQ6ne0i8lV1dXWkUqkoLi6OwYMHZ7ucPbZjo5eIiMKysqZGL41/aXy6AgBAPtnV+9x815Fc4g4gTXbVRtf2DgAA5CPbRfwfTWBootELAADdkfe5/0cApIk2ugAAdEfe5/4fAZAm2ugCANAdted9bkNtKtY8OCdevnlWrHlwTjTUpjJdZkZoArMHulsTmIjQ6AUAgG5pZ+9z871JjCYw7DaNXgAA6I529j63rSYxf7l6Whxw6ohudVNEAOzG7HUCAAC71maTmOXLY+Xy5bGual7e3A3cFWsAu6nG29gr77w7NsxfECvvvDuWXTmp285lBgCA3dVWk5hGjVtGdAcCYDe1s71OAACA/9Nak5gddZctI0wB7UY+POVz8+o1rZ7TXZ64AADQWQp6F0fFzOujZm5VbFiwMFKvLW9xTuOWEfm+zEoA7CZa61zUmiTudQIAALvS2CSm/+hRLd5XN24ZseN77g3zF+Td+kABsJtobcrnjuzpBwAAO/fhu4E7bhmx5sE5bS6zypdO+gJgN9FW56LiwwZF0cCB9vQDAIB2amvLiDa7hebRMisBsJsoHlQeG+YvaDG+/8gRefNpBAAA5LK23nPn0zIrXUC7idY6F5nyCQAAnac7vOd2B7Cb2NlcZQAAYM91h/fcAmA30tZcZQAAoHPk+3tuU0ABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABIi5wNgfX19TJs2LSorK2PYsGExZcqUSKVSbZ7/61//Oj796U/Hxz/+8bjoooti+fLlGawWAAAgd+V8AJwxY0YsWrQoZs2aFbfddltUV1fH1KlTWz33kUceiRtvvDEmTJgQ9913Xxx44IHx9a9/Perq6jJcNQAAQO7J6QC4adOmmD17dlx99dUxfPjwOP7442Py5Mnx2GOPxcaNG1ucf8cdd8RXvvKVOOecc2Lw4MHxve99L95666344x//mPniAQAAckxBtgvYmaVLl0ZExPDhw5vGKioqoqCgIBYvXhxnnnlm03htbW288MILccUVVzSNFRYWxtChQ+Ppp5+O008/fbdqGDFiRJvHJkyYEIcddthufV8AAIBMy+k7gKtWrYrS0tLo2bNn01jPnj2jb9++Le4ArlmzJrZv3x4DBw5sNn7ggQe2ercQAAAgaXL6DmAqlYrCwsIW40VFRS0awTR+veP5RUVFexQAFy5c2Oax6urqnTakAQAAyCU5fQewpKSk1QYuW7dujZKSkhbnRkRs2bKl2Xh9fX2LcwEAAJIopwNgaWlprF+/Purr65vGGhoaYv369TFgwIBm5x5wwAEREfHGG280G3/jjTeirKys64sFAADIcTkdACsrKyOdTsezzz7bNLZkyZJIp9MxbNiwZuf26dMnhg4d2mzKZm1tbSxbtmynjVwAAACSIqcDYElJSYwdOzamT58eS5YsiSeeeCKmTJkS48aNa1rb9/rrrzed/+UvfznuuuuuePjhh+NPf/pTfOtb34ry8vI4+eSTs/hbAAAA5IacbgITEXHNNdfEddddF+PHj4+CgoIYM2ZMTJw4MSIiZs6cGc8880w8/vjjERFxzjnnxFtvvRUzZsyI9957LyorK+NnP/tZ7LVXTudcAACAjOiRTqfT2S4iXzV2AS0uLo7BgwdnuxwAACCBOpJL3BoDAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEiLnA+DTTz8d55xzTgwdOjTGjBkTf/zjH9v1uKqqqjj77LO7tjgAAIA8ktMBcM2aNXHppZfGyJEj4ze/+U187nOfi8suuyyqq6t3+ri//e1v8eMf/zhDVQIAAOSHnA6A99xzTxxxxBFx+eWXx1FHHRUXXXRRnHDCCfHAAw+0+ZjTTz89xowZEy+//HIGKwUAAMh9BdkuYGcWL14cp512WrOxk046KR5++OE2H3PLLbfE+++/H/fee28sXbp0j2sYMWJEm8emT58eJSUlsWXLll3elQQAAOgKW7ZsiYiIrVu37vLcnA6Aq1evjoEDBzYbO/DAA2Pjxo1tPuaII46IiIgDDjigS2uLiOjZs2dERGzfvj1SqVSX/zwAAIC2bN++fZfn5HQATKVSse+++zYbKy4uzmjYWrhwYZvHXnjhhaivr4+99tqrRZ3Z8Je//CUiIoYMGZLlSpLB9c4c1zqzXO/Mcr0zy/XOHNc6s1zvzMq1671169bYvn170w2qnclqAHzvvffizTffbPP4Rz7ykairq2s2tnXr1igpKenq0trl2GOPzXYJzXzjG9+IiJ2HVjqP6505rnVmud6Z5XpnluudOa51ZrnemZXP1zurAbCqqiomT57c5vGBAwfG2rVrm4298cYbUVZW1tWlAQAAdDtZDYDnnntunHvuuW0enzlzZjz55JNx2WWXNY09+eSTccopp2SiPAAAgG4lp7eB+PznPx8vvPBC3HLLLfHiiy/GD3/4w3jxxRdj3LhxERHR0NAQK1eujNra2ixXCgAAkPtyOgCWl5fHrbfeGo899liMGzcunn322bj99tvjoIMOioiImpqaGD16dMydOzfLlQIAAOS+nO4CGhExcuTIGDlyZKvHDj744DY3fP/Wt74V3/rWt7qyNAAAgLzSI51Op7NdBAAAAF0vp6eAAgAA0HkEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABICAEQAAAgIQRAAACAhBAAAQAAEkIABAAASAgBEAAAICEEwG5g69atceaZZ8b3v//9nZ5XXV0d5513XlRUVMTo0aPjwQcfzFCF3cN//Md/xKc//emoqKiIsWPHxsMPP5ztkrq1jl7v119/Pb7xjW/E8ccfH5/61Kfi9ttvz1Cl+e93v/tdnHXWWXHcccfFyJEjY9asWbF9+/Zsl9VtdfR6e253jh/84Ae7/HeSztPe6+29ye57+umn45xzzomhQ4fGmDFj4o9//GO2S+pW6uvrY9q0aVFZWRnDhg2LKVOmRCqVavP8X//61/HpT386Pv7xj8dFF10Uy5cvz2C1HSMAdgOzZs2KV199dafn1NbWxte//vUoLy+P+++/P775zW/GtGnT4oknnshQlfntkUceiZtuuikuueSSeOCBB+Izn/lMfOc734mlS5e2+ZgJEybEkCFDmv2ZPHlyBqvOXx293tu3b4/x48fHXnvtFb/61a/immuuiV/84hdxzz33ZLjy/PPUU0/FxIkTY8yYMfGf//mfcfnll8ddd90Vd911V5uP8dzefR293p7be27btm0xf/78dgeLz3/+8y2e37fccksXV9l9dOR6e2+y+9asWROXXnppjBw5Mn7zm9/E5z73ubjsssuiurq6zcd47e6YGTNmxKJFi2LWrFlx2223RXV1dUydOrXVcx955JG48cYbY8KECXHffffFgQceGF//+tejrq4uw1W3T0G2C2DPLF26NP77v/87jjzyyJ2e97vf/S723nvv+P73vx/77LNPDB48OBYvXhz33HNPnHbaaRmqNn/99re/jbPOOivGjRsXERFHH310/M///E88/vjjccIJJ7T6mFdeeSWmTZsWxx9/fNPYRz7ykYzUm+86er0XLFgQK1eujLvvvjv69OkTxx57bJx//vlxzz33xJe+9KVMl59XfvOb38SIESNi/PjxEfHBtV6+fHnce++9cdFFF7X6GM/t3dfR6+25vWdef/31OP3006O+vr5d56fT6XjllVfiJz/5SZSVlTWNf/SjH+2qEruVjl5v70123z333BNHHHFEXH755RERcdRRR8Xjjz8eDzzwQHz3u99t9TFeu9tv06ZNMXv27Lj11ltj+PDhERExefLkuOCCC2Ljxo3Rr1+/Zuffcccd8ZWvfCXOOeeciIj43ve+FyeffHL88Y9/jNNPPz3T5e+SO4B5bMuWLTF58uSYOnXqLv9xWrx4cQwfPjz22WefprHKysp4+umnu7rMbqF3795RWVnZbKygoKDNT3a2bdsWq1atipEjR8bhhx/e9Ke0tDQT5ea9jl7vp59+OoYOHRp9+vRpGqusrIxXXnklNm7c2JWl5r1UKhXDhg1rNta3b9948803Wz3fc3vPdPR6e27vmQMOOCAeeOCBmDNnThx77LG7PL+mpia2b98en/zkJ5s9v/v27ZuBavNfR6+39ya7b/HixTFy5MhmYyeddFKb185rd8c0zjhqDH8RERUVFVFQUBCLFy9udm5tbW288MILzf5/FBYWxtChQ3P2uewOYB67+eab4+ijj44zzjhjl9OBVq9eHZ/5zGeajR144IFRV1cXtbW10bt3764sNe/96Ec/avrv7du3x6OPPhrV1dVNn7ztaM2aNRER8cMf/jCee+65KCoqijPPPDO++c1vRs+ePTNScz7r6PVevXp1DBw4sNnYgQceGBERGzZsaPFJHf/nZz/7WbOv6+rq4re//W0cc8wxrZ7vub1nOnq9Pbf3TM+ePeNjH/tYREQUFxfv8vzly5fHRz7ykRg/fnz89a9/jb59+8bnP//5uOCCC2KvvXxmvisdvd7em+y+tl4b2vpgyGt3x6xatSpKS0ubXZuePXtG3759W1zjNWvWxPbt2zv0/yPbBMA8tXjx4nj44Yfj97//fbvOT6VSse+++zYbKyoqajrmRbZ95s2bF9/61rdi27Ztcdppp8WJJ57Y6nmvvfZabNu2LY488sgYP358vPzyy3HDDTfEunXrYsaMGRmuOn+193qnUqnYf//9m419+PlN+/ztb3+LSZMmxfLly9tck+a53Xnac709tzPrtddei02bNsWnPvWp+Jd/+Zf405/+FDfddFPU1tbGZZddlu3yuh3vTXZfa9euuLi4zdcFr90dk0qlorCwsMV4UVFRi2vc+PWO5xcVFQmAdMx7773X5pSg7du3x+TJk+Pqq69u97SUj3zkIy2mz23dujUiIvbbb789K7Yb2Nn1jog47LDDokePHnHyySfHf/7nf8ZLL70UN9xwQ5tdzk466aR44oknmqZWfOxjH4uCgoK44oorYurUqYn/R62zr7fnd9vac623bdsWP/7xj+OOO+6IQw45JH71q1/FkCFDWj3fc3vnOvt6e27vXHtfS9pr7NixceaZZzb923rMMcdEbW1t/Pu//7sAGJ1/vT2/27ara93WtSspKWn1fK/dHVNSUtLqspPWrnHj11u2bGk2Xl9f3+b/j2wTAHNUVVXVLjszTZw4MSZOnBgREe+//34899xzMXv27Fi0aFGLRb2lpaWxdu3aZmNvvPFG9O3bt9VPOJJmV9f7xhtvjJEjR0bfvn3jYx/7WHzsYx+LDRs2xJ133tlqICkuLm4x/WXw4MGRTqfjzTffTPwLbWdf79LS0vjb3/7WbOyNN96Ivffeu2m6XFLt6lo/99xz8c1vfjOef/75+Pa3vx0XXXTRTqcDeW7vXGdfb8/tndvV9V66dGm7piI2au3N2uDBg+Pdd9+NrVu3trjjkjSdfb29N2nbrq71wIEDW712H25e9GFeuzumtLQ01q9fH/X19U2v0Q0NDbF+/foYMGBAs3MPOOCAiPjg+h988MFN42+88Uab0/uzTQDMUeeee26ce+65rR6rr6+P1atXNxubOHFilJeXx6WXXtrqi+/IkSPj9ttvj23btsXee+8dERFPPvlknHLKKZ1ffB7a2fVuaGiIj3/843H11Vc3daWM+OD/Q1vrb7773e/Gpk2bYtasWU1jf/7zn6NXr14t5ognUWdf78Y22O+9917Thx9PPvlkVFRUJP4ftZ1d64iIn/70p/HnP/857r777qioqNjl9/Pc3rnOvt6e2zu3q+vdUd/4xjfiyCOPbPpwNeKD5/chhxyS+PAX0fnX23uTtu3qWs+cOTOefPLJZnemd3btvHZ3TGVlZaTT6Xj22Wfjk5/8ZERELFmyJNLpdItGXn369ImhQ4fGwoULm47V1tbGsmXL4h//8R8zXnt7WNGch3r27Nmsg9Phhx8evXr1ipKSkjj88MNjr732irq6uli5cmXT7eszzzwztmzZEt/73vfipZdeip///Ofx0EMPxYUXXpjl3yb3FRQUxJgxY+KWW26JRx55JF5++eWYPXt23HHHHfHFL34xIj4ILStXroza2tqIiDjttNNi7ty5ccstt8SLL74YDz30UMycOTMuuuiiZt3OaGl3rvcpp5wS/fv3j0mTJsWLL74Y999/f/ziF7+Ir33ta9n8VfLCww8/HGPGjIk+ffrEypUrm/2J8NzubB293p7bXWvHfytPO+20+PWvfx2/+tWv4qWXXor7778/7rjjjrj44ouzXGn34L1J5/n85z8fL7zwQtNr8Q9/+MN48cUXmz449dq9Z0pKSmLs2LExffr0WLJkSTzxxBMxZcqUGDduXNPavtdff73p/C9/+ctx1113xcMPPxx/+tOf4lvf+laUl5fHySefnMXfYifSdAtf+cpX0t/73veavn766afTRx11VPrpp59uGvvLX/6S/v/+v/8vfdxxx6VPP/30dFVVVTZKzUupVCo9ffr09Kc+9al0RUVF+uyzz07fd9996e3bt6fT6XR69erV6aOOOir9n//5n02PmTNnTvqss85KH3fccenTTjst/aMf/Sj9/vvvZ+tXyCu7c71XrVqVvvDCC9NDhgxJf/rTn07ff//92So/r1RUVKSPOuqoVv+k057bnW13rrfndufY8d/JdLr1fyt/+ctfpj/72c+mjz322PSoUaPSv/zlLzNcaffQ3uvtvcnumz9/fvrss89ODxkyJP0P//AP6SVLljQd89q95zZv3pyeOnVq+oQTTkifdNJJ6enTp6fr6+vT6XQ6PXHixPSnP/3pZuffcccd6REjRqQrKirS//iP/5iuqanJRtnt0iOdTqezHUIBAADoeqaAAgAAJIQACAAAkBACIAAAQEIIgAAAAAkhAAIAACSEAAgAAJAQAiAAAEBCCIAAAAAJIQACwG5YvHhxHH300bFo0aJsl9LkqaeeijPOOCOOPfbYeP3111s95/zzz4/zzjuvxfhbb70VY8aMieOOOy4eeeSRri4VgCwpyHYBAEDn+Pd///d46623YtasWdGvX792P+6tt96KCy+8MJYvXx6zZs2Kz372s11YJQDZJAACQDdRV1cXhx56aIwaNardj3nrrbfioosuipUrV8att94ap512WhdWCEC2mQIKQKJ87Wtfi2HDhsX777/fbHzy5MnxiU98IrZu3RoREVVVVfH5z38+jj/++KisrIyvfvWr8eyzz7b5fSdNmhSnnnpqs7E1a9bE0UcfHbNnz24a27JlS1x//fVx6qmnxtChQ+MLX/hCPP7447use8WKFXHZZZfFJz7xiaioqIivfOUrsXjx4qbjRx99dDzzzDOxbNmyOProo2PNmjW7/J6N4W/VqlXx85//XPgDSAABEIBEGTNmTGzatCmeeeaZprH3338/5s2bF6effnrsu+++8fzzz8e3v/3tOOSQQ2LGjBkxadKkePvtt+PrX/96vPPOO7v9s7dt2xaXXHJJ/Pa3v42vfe1rcdNNN8UhhxwSl156aTz88MNtPm7t2rXxxS9+MV599dW4/PLL4/rrr4/evXvHRRddFE888URERNx+++1x1FFHxZFHHhm333577L///jut5e23346LLrooXnvttbj99ttj+PDhu/17AZA/TAEFIFFGjRoV1157bVRVVcUpp5wSER80T3n33Xfj//2//xcREX/729/ihBNOiJtuuil69OgRERH9+/ePiy66KF5++eWorKzcrZ/9yCOPxOLFi+O+++6L448/PiIiRo8eHW+//XbMmjUrzjzzzFYfd+utt8bWrVvjV7/6VdPavtNPPz0+//nPx0033RSnnXZanHrqqXH77bdHQ0NDizuRO3rvvfeafpeIiA0bNuzW7wNA/nEHEIBE6d27d/zd3/1d/OEPf4h0Oh0REY899lgMGDAgPvGJT0RExBe+8IX49a9/HbW1tfHXv/41Hnvssbj33nsj4oO7eLvriSeeiAMPPDCOOuqoSKVSTX9OPfXUWLlyZWzcuLHVxy1cuDBOO+20Zo1devToEZ/97Gfjb3/7W9TW1naojldeeSVqamriF7/4RRxwwAExbdq0eOONN3b79wIgf7gDCEDijB07Nh5++OF4/vnnY8iQIfGHP/whzjvvvKa7fatXr45rrrkmFi9eHH379o1DDz00DjrooA7/nMaA2WjDhg2xbt26OOGEE1o9/+233261e+eGDRuirKysxXjv3r0jIiKVSjX9d3vst99+ceedd8bgwYNjxowZcfHFF8dVV10Vd955Z+y1l8+GAbozARCAxBkxYkR89KMfjaqqqkilUvHOO+80Tf+MiJg4cWJs3LgxHnvssTjkkEMiImLRokXx+9//vs3v2RgeP2zH9YIf+chHmtYVtqa1kBfxQdB76623Woy//vrrsc8++8RHP/rRNutqzeGHHx6DBw+OiIiRI0fGl770pfj1r38dt99+e1xyySUd+l4A5Bcf8wGQOPvss0+cccYZ8Yc//CEee+yxGDp0aAwaNKjp+EsvvRQjR45sCn8RscsN34uKiiKVSjW767dkyZJm55x00kmxbt26OOSQQ+ITn/hE05+lS5fGrbfeGoWFha1+7xNPPDH++Mc/Npvq+f7778djjz0WlZWV0bNnzw79/ju66qqrYtCgQfHjH/84/vKXv+zR9wIgtwmAACTSmDFjYuXKlfG73/0uzjnnnGbHhgwZEv/1X/8V9913XzzyyCNx1VVXxWOPPRYRHzSMae1u3Iknnhi1tbXx05/+NNatWxf/8z//E3feeWezcz73uc/FwQcfHF/72tdi9uzZ8cgjj8TVV18dP/rRj+JTn/pUm9MvL7vssti8eXOcf/75MXv27Hj00Ufjm9/8Zqxfvz4mTJiwx9eisLAwZs6cGel0Oq644orYvHnzHn9PAHKTAAhAIp1wwgkxcODA2L59e5xxxhnNjs2YMSOGDBkSN9xwQ/zwhz+Mvn37xoMPPhinnHJK3HnnnbF69eoW3++MM86I8ePHx69+9asYPXp03HbbbXH99dc3O6dXr17xq1/9Ko477riYOXNmTJw4Mf785z/HD37wg7jwwgvbrPWYY46JO++8M3r37h0/+MEPYvLkyVFXVxe//OUvY+jQoZ1yPYYMGRLf/OY3Y8WKFXHdddd1yvcEIPf0SO+4Qh0AAIBuyR1AAACAhBAAAQAAEkIABAAASAgBEAAAICEEQAAAgIQQAAEAABJCAAQAAEgIARAAACAhBEAAAICEEAABAAASQgAEAABIiP8ffwPNp6dXPvwAAAAASUVORK5CYII=", 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" ] @@ -355,7 +355,7 @@ { "cell_type": "code", "execution_count": null, - "id": "16a30581", + "id": "55a896ce", "metadata": {}, "outputs": [], "source": [] diff --git a/_sources/notebooks/Quadratic.ipynb.txt b/_sources/notebooks/Quadratic.ipynb.txt index c279a1eb..0dbf1e28 100644 --- a/_sources/notebooks/Quadratic.ipynb.txt +++ b/_sources/notebooks/Quadratic.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "489abefd", + "id": "e941bc16", "metadata": { "papermill": { - "duration": 0.007699, - "end_time": "2024-05-08T19:21:03.345912", + "duration": 0.007884, + "end_time": "2024-05-08T19:30:52.181066", "exception": false, - "start_time": "2024-05-08T19:21:03.338213", + "start_time": "2024-05-08T19:30:52.173182", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "e7021bd7", + "id": "9be8d5fe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:03.356317Z", - "iopub.status.busy": 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+468,14 @@ }, { "cell_type": "markdown", - "id": "4e6ee506", + "id": "629a1240", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001475, - "end_time": "2024-05-08T19:21:10.807953", + "duration": 0.001646, + "end_time": "2024-05-08T19:31:01.163590", "exception": false, - "start_time": "2024-05-08T19:21:10.806478", + "start_time": "2024-05-08T19:31:01.161944", "status": "completed" }, "tags": [] @@ -490,19 +490,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "4c81e047", + "id": "6d83e9c9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:10.812090Z", - "iopub.status.busy": "2024-05-08T19:21:10.811822Z", - "iopub.status.idle": "2024-05-08T19:21:10.962824Z", - "shell.execute_reply": "2024-05-08T19:21:10.962486Z" + "iopub.execute_input": "2024-05-08T19:31:01.170408Z", + "iopub.status.busy": "2024-05-08T19:31:01.170163Z", + "iopub.status.idle": "2024-05-08T19:31:01.383795Z", + "shell.execute_reply": "2024-05-08T19:31:01.382681Z" }, "papermill": { - "duration": 0.154978, - "end_time": "2024-05-08T19:21:10.964353", + "duration": 0.222339, + "end_time": "2024-05-08T19:31:01.387505", "exception": false, - "start_time": "2024-05-08T19:21:10.809375", + "start_time": "2024-05-08T19:31:01.165166", "status": "completed" }, "tags": [] @@ -534,13 +534,13 @@ }, { "cell_type": "markdown", - "id": "295aeb7b", + "id": "8d043d85", "metadata": { "papermill": { - "duration": 0.001683, - "end_time": "2024-05-08T19:21:10.967922", + "duration": 0.005081, + "end_time": "2024-05-08T19:31:01.398059", "exception": false, - "start_time": "2024-05-08T19:21:10.966239", + "start_time": "2024-05-08T19:31:01.392978", "status": "completed" }, "tags": [] @@ -555,19 +555,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "126eeff1", + "id": "291af530", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:10.972035Z", - "iopub.status.busy": "2024-05-08T19:21:10.971894Z", - "iopub.status.idle": "2024-05-08T19:21:11.074397Z", - "shell.execute_reply": "2024-05-08T19:21:11.074008Z" + "iopub.execute_input": "2024-05-08T19:31:01.405373Z", + "iopub.status.busy": "2024-05-08T19:31:01.405189Z", + "iopub.status.idle": "2024-05-08T19:31:01.536173Z", + "shell.execute_reply": "2024-05-08T19:31:01.535114Z" }, "papermill": { - "duration": 0.106121, - "end_time": "2024-05-08T19:21:11.075760", + "duration": 0.136778, + "end_time": "2024-05-08T19:31:01.539097", "exception": false, - "start_time": "2024-05-08T19:21:10.969639", + "start_time": "2024-05-08T19:31:01.402319", "status": "completed" }, "tags": [] @@ -620,8 +620,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.920872, - "end_time": "2024-05-08T19:21:11.410981", + "duration": 3.504674, + "end_time": "2024-05-08T19:31:02.081832", "environment_variables": {}, "exception": null, "input_path": "Quartic.ipynb", @@ -633,7 +633,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:21:08.490109", + "start_time": "2024-05-08T19:30:58.577158", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Quick_start.ipynb.txt b/_sources/notebooks/Quick_start.ipynb.txt index af3035ad..5e2a5437 100644 --- a/_sources/notebooks/Quick_start.ipynb.txt +++ b/_sources/notebooks/Quick_start.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "5060fe3e", + "id": "f7492499", "metadata": {}, "source": [ "# Quick start\n", @@ -15,13 +15,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "1d329cef", + "id": "ce3c8597", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:01.337411Z", - "iopub.status.busy": "2024-05-08T19:20:01.336826Z", - "iopub.status.idle": "2024-05-08T19:20:02.508555Z", - "shell.execute_reply": "2024-05-08T19:20:02.507905Z" + "iopub.execute_input": "2024-05-08T19:29:35.345818Z", + "iopub.status.busy": "2024-05-08T19:29:35.344309Z", + "iopub.status.idle": "2024-05-08T19:29:36.768690Z", + "shell.execute_reply": "2024-05-08T19:29:36.767690Z" } }, "outputs": [], @@ -33,13 +33,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "22790f90", + "id": "9d6fb36d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:02.511226Z", - "iopub.status.busy": "2024-05-08T19:20:02.510949Z", - "iopub.status.idle": "2024-05-08T19:20:02.520862Z", - "shell.execute_reply": "2024-05-08T19:20:02.520492Z" + "iopub.execute_input": "2024-05-08T19:29:36.773205Z", + "iopub.status.busy": "2024-05-08T19:29:36.772694Z", + "iopub.status.idle": "2024-05-08T19:29:36.784579Z", + "shell.execute_reply": "2024-05-08T19:29:36.783880Z" } }, "outputs": [], @@ -51,7 +51,7 @@ }, { "cell_type": "markdown", - "id": "5f70e261", + "id": "78fe85a1", "metadata": {}, "source": [ "Now let’s use it:\n", @@ -61,13 +61,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "483a66cf", + "id": "d57d4ab0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:02.522916Z", - "iopub.status.busy": "2024-05-08T19:20:02.522815Z", - "iopub.status.idle": "2024-05-08T19:20:03.049604Z", - "shell.execute_reply": "2024-05-08T19:20:03.049191Z" + "iopub.execute_input": "2024-05-08T19:29:36.787934Z", + "iopub.status.busy": "2024-05-08T19:29:36.787696Z", + "iopub.status.idle": "2024-05-08T19:29:37.451542Z", + "shell.execute_reply": "2024-05-08T19:29:37.450837Z" } }, "outputs": [ @@ -89,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "bdbf9ba5", + "id": "b2e6766b", "metadata": {}, "source": [ "Evaluate the model on an array of 100 energies logarithmically distributed between 1 and 100 keV and plot it" @@ -98,13 +98,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "73d715a2", + "id": "819fca58", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:03.051673Z", - "iopub.status.busy": "2024-05-08T19:20:03.051530Z", - "iopub.status.idle": "2024-05-08T19:20:03.888259Z", - "shell.execute_reply": "2024-05-08T19:20:03.887763Z" + "iopub.execute_input": "2024-05-08T19:29:37.455035Z", + "iopub.status.busy": "2024-05-08T19:29:37.454800Z", + "iopub.status.idle": "2024-05-08T19:29:38.446067Z", + "shell.execute_reply": "2024-05-08T19:29:38.445399Z" } }, "outputs": [ diff --git a/_sources/notebooks/Sin.ipynb.txt b/_sources/notebooks/Sin.ipynb.txt index c53f5bc1..0f1f0e18 100644 --- a/_sources/notebooks/Sin.ipynb.txt +++ b/_sources/notebooks/Sin.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "819f7dda", + "id": "31bc26bd", "metadata": { "papermill": { - "duration": 0.011998, - "end_time": "2024-05-08T19:20:26.619567", + "duration": 0.005731, + "end_time": "2024-05-08T19:30:06.416302", "exception": false, - "start_time": "2024-05-08T19:20:26.607569", + "start_time": "2024-05-08T19:30:06.410571", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "96615cd1", + "id": "2f3ec175", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:26.636684Z", - "iopub.status.busy": "2024-05-08T19:20:26.635899Z", - "iopub.status.idle": "2024-05-08T19:20:28.033429Z", - "shell.execute_reply": "2024-05-08T19:20:28.032913Z" + "iopub.execute_input": "2024-05-08T19:30:06.426617Z", + "iopub.status.busy": "2024-05-08T19:30:06.426149Z", + "iopub.status.idle": "2024-05-08T19:30:08.178649Z", + "shell.execute_reply": "2024-05-08T19:30:08.177841Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.407933, - "end_time": "2024-05-08T19:20:28.034921", + "duration": 1.759989, + "end_time": "2024-05-08T19:30:08.180894", "exception": false, - "start_time": "2024-05-08T19:20:26.626988", + "start_time": "2024-05-08T19:30:06.420905", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "d04a7dc0", + "id": "87034023", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.038348Z", - "iopub.status.busy": "2024-05-08T19:20:28.038005Z", - "iopub.status.idle": "2024-05-08T19:20:28.046368Z", - "shell.execute_reply": "2024-05-08T19:20:28.045968Z" + "iopub.execute_input": "2024-05-08T19:30:08.185444Z", + "iopub.status.busy": "2024-05-08T19:30:08.184944Z", + "iopub.status.idle": "2024-05-08T19:30:08.188247Z", + "shell.execute_reply": "2024-05-08T19:30:08.187634Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011403, - "end_time": "2024-05-08T19:20:28.047716", + "duration": 0.007865, + "end_time": "2024-05-08T19:30:08.190438", "exception": false, - "start_time": "2024-05-08T19:20:28.036313", + "start_time": "2024-05-08T19:30:08.182573", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "e539cfe3", + "id": "1291a8dd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.050626Z", - "iopub.status.busy": "2024-05-08T19:20:28.050478Z", - "iopub.status.idle": "2024-05-08T19:20:28.058536Z", - "shell.execute_reply": "2024-05-08T19:20:28.058165Z" + "iopub.execute_input": "2024-05-08T19:30:08.194402Z", + "iopub.status.busy": "2024-05-08T19:30:08.194188Z", + "iopub.status.idle": "2024-05-08T19:30:08.197070Z", + "shell.execute_reply": "2024-05-08T19:30:08.196364Z" }, "papermill": { - "duration": 0.010934, - "end_time": "2024-05-08T19:20:28.059817", + "duration": 0.007064, + "end_time": "2024-05-08T19:30:08.198988", "exception": false, - "start_time": "2024-05-08T19:20:28.048883", + "start_time": "2024-05-08T19:30:08.191924", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "7f115449", + "id": "ac65b1cb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.062730Z", - "iopub.status.busy": "2024-05-08T19:20:28.062584Z", - "iopub.status.idle": "2024-05-08T19:20:28.071703Z", - "shell.execute_reply": "2024-05-08T19:20:28.071306Z" + "iopub.execute_input": "2024-05-08T19:30:08.202658Z", + "iopub.status.busy": "2024-05-08T19:30:08.202445Z", + "iopub.status.idle": "2024-05-08T19:30:08.213002Z", + "shell.execute_reply": "2024-05-08T19:30:08.212234Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.012021, - "end_time": "2024-05-08T19:20:28.072978", + "duration": 0.014581, + "end_time": "2024-05-08T19:30:08.215018", "exception": false, - "start_time": "2024-05-08T19:20:28.060957", + "start_time": "2024-05-08T19:30:08.200437", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "bf3bac22", + "id": "250664a8", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001082, - "end_time": "2024-05-08T19:20:28.075187", + "duration": 0.001478, + "end_time": "2024-05-08T19:30:08.218026", "exception": false, - "start_time": "2024-05-08T19:20:28.074105", + "start_time": "2024-05-08T19:30:08.216548", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "1097eb53", + "id": "672b9e29", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.078074Z", - "iopub.status.busy": "2024-05-08T19:20:28.077928Z", - "iopub.status.idle": "2024-05-08T19:20:28.088055Z", - "shell.execute_reply": "2024-05-08T19:20:28.087636Z" + "iopub.execute_input": "2024-05-08T19:30:08.222023Z", + "iopub.status.busy": "2024-05-08T19:30:08.221813Z", + "iopub.status.idle": "2024-05-08T19:30:08.227635Z", + "shell.execute_reply": "2024-05-08T19:30:08.226897Z" }, "papermill": { - "duration": 0.01304, - "end_time": "2024-05-08T19:20:28.089321", + "duration": 0.010455, + "end_time": "2024-05-08T19:30:08.229961", "exception": false, - "start_time": "2024-05-08T19:20:28.076281", + "start_time": "2024-05-08T19:30:08.219506", "status": "completed" }, "tags": [] @@ -337,13 +337,13 @@ }, { "cell_type": "markdown", - "id": "97df709b", + "id": "cb3bd24c", "metadata": { "papermill": { - "duration": 0.001205, - "end_time": "2024-05-08T19:20:28.091783", + "duration": 0.001386, + "end_time": "2024-05-08T19:30:08.233075", "exception": false, - "start_time": "2024-05-08T19:20:28.090578", + "start_time": "2024-05-08T19:30:08.231689", "status": "completed" }, "tags": [] @@ -359,19 +359,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "4a3fbe6f", + "id": "e62736c3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.094784Z", - "iopub.status.busy": "2024-05-08T19:20:28.094642Z", - "iopub.status.idle": "2024-05-08T19:20:28.206404Z", - "shell.execute_reply": "2024-05-08T19:20:28.205983Z" + "iopub.execute_input": "2024-05-08T19:30:08.236925Z", + "iopub.status.busy": "2024-05-08T19:30:08.236662Z", + "iopub.status.idle": "2024-05-08T19:30:08.390310Z", + "shell.execute_reply": "2024-05-08T19:30:08.388747Z" }, "papermill": { - "duration": 0.114819, - "end_time": "2024-05-08T19:20:28.207744", + "duration": 0.158645, + "end_time": "2024-05-08T19:30:08.393071", "exception": false, - "start_time": "2024-05-08T19:20:28.092925", + "start_time": "2024-05-08T19:30:08.234426", "status": "completed" }, "tags": [ @@ -404,14 +404,14 @@ }, { "cell_type": "markdown", - "id": "f2cab6ae", + "id": "af61051c", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001532, - "end_time": "2024-05-08T19:20:28.211042", + "duration": 0.007591, + "end_time": "2024-05-08T19:30:08.402598", "exception": false, - "start_time": "2024-05-08T19:20:28.209510", + "start_time": "2024-05-08T19:30:08.395007", "status": "completed" }, "tags": [] @@ -426,19 +426,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "2a2d8e1a", + "id": "c4db7b2a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.214878Z", - "iopub.status.busy": "2024-05-08T19:20:28.214722Z", - "iopub.status.idle": "2024-05-08T19:20:28.368983Z", - "shell.execute_reply": "2024-05-08T19:20:28.368638Z" + "iopub.execute_input": "2024-05-08T19:30:08.413328Z", + "iopub.status.busy": 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"iopub.execute_input": "2024-05-08T19:20:28.378497Z", - "iopub.status.busy": "2024-05-08T19:20:28.378357Z", - "iopub.status.idle": "2024-05-08T19:20:28.470691Z", - "shell.execute_reply": "2024-05-08T19:20:28.470319Z" + "iopub.execute_input": "2024-05-08T19:30:08.634558Z", + "iopub.status.busy": "2024-05-08T19:30:08.634371Z", + "iopub.status.idle": "2024-05-08T19:30:08.763547Z", + "shell.execute_reply": "2024-05-08T19:30:08.761418Z" }, "papermill": { - "duration": 0.095914, - "end_time": "2024-05-08T19:20:28.471971", + "duration": 0.134737, + "end_time": "2024-05-08T19:30:08.766415", "exception": false, - "start_time": "2024-05-08T19:20:28.376057", + "start_time": "2024-05-08T19:30:08.631678", "status": "completed" }, "tags": [] @@ -556,8 +556,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.977022, - "end_time": "2024-05-08T19:20:28.812329", + "duration": 3.444063, + "end_time": "2024-05-08T19:30:09.204662", "environment_variables": {}, "exception": null, "input_path": 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"Super_cutoff_powerlaw.ipynb", @@ -633,7 +633,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:33.029705", + "start_time": "2024-05-08T19:31:27.829276", "version": "2.6.0" } }, diff --git a/_sources/notebooks/TbAbs.ipynb.txt b/_sources/notebooks/TbAbs.ipynb.txt index 9036c355..d1cd3027 100644 --- a/_sources/notebooks/TbAbs.ipynb.txt +++ b/_sources/notebooks/TbAbs.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "9c0a9068", + "id": "c364a480", "metadata": { "papermill": { - "duration": 0.011664, - "end_time": "2024-05-08T19:20:42.561328", + "duration": 0.009079, + "end_time": "2024-05-08T19:30:26.757349", "exception": false, - "start_time": "2024-05-08T19:20:42.549664", + "start_time": "2024-05-08T19:30:26.748270", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "13d389eb", + "id": "6b129e84", "metadata": { "execution": { - "iopub.execute_input": 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"y_scale": "log" }, - "start_time": "2024-05-08T19:20:41.993027", + "start_time": "2024-05-08T19:30:25.944628", "version": "2.6.0" } }, diff --git a/_sources/notebooks/Truncated_gaussian.ipynb.txt b/_sources/notebooks/Truncated_gaussian.ipynb.txt index 719a8a3e..9e8ebb3b 100644 --- a/_sources/notebooks/Truncated_gaussian.ipynb.txt +++ b/_sources/notebooks/Truncated_gaussian.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "bef3b09f", + "id": "2f20f2a8", "metadata": { "papermill": { - "duration": 0.007234, - "end_time": "2024-05-08T19:22:34.398114", + "duration": 0.005692, + "end_time": "2024-05-08T19:32:38.278266", "exception": false, - "start_time": "2024-05-08T19:22:34.390880", + "start_time": "2024-05-08T19:32:38.272574", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "b27ea46e", + "id": "a379cdff", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:34.409812Z", - 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LtWvXRteuXaOioiKyLIs1a9bk3W/NmjVRWVnZ2tMFAAAoKkUbe9XV1ZFlWTz77LO5scWLF0eWZTFgwIDo0aNHHHXUUTF//vzc9pUrV0ZdXd1uz7sDAAA4GBT1xzjPO++8uOWWW2LSpEmxadOmmDhxYlx00UXRsWPHiIi4+OKLY+rUqVFRURHt27ePW2+9NWpqauLYY48t8OwBAAAKq2hjLyJi/PjxMWXKlKitrY3S0tIYPnx4jBo1Kre9trY2Nm/eHDfddFNs3bo1ampqYuLEiYWbMAAAQJEomtirrq6Ol156KW+sQ4cOMXny5J3+Bt8OhxxySNx4441x4403tsYUAQAA2oyiPWcPAACAlhN7AAAACRJ7AAAACSqac/aAtqtm1fRWf8653S5v9ecEAGhLHNkDAABIkNgDAABIkNgDAABIkNgDAABIkAu0AAAUUCEucgUcHBzZAwAASJDYAwAASJDYAwAASJBz9miRlp5f4A9hAwBA63BkDwAAIEFiDwAAIEFiDwAAIEFiDwAAIEFiDwAAIEFiDwAAIEFiDwAAIEFiDwAAIEFiDwAAIEGlhZ4AAADpq1k1vdBTgIOOI3sAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJEnsAAAAJKi30BIDiULNqeqGnAADAfuTIHgAAQILEHgAAQILEHgAAQILEHgAAQIJcoAV2w0VLipfvDQDA7jmyBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkKDSQk8AAABSUrNqeovvO7fb5ftxJhzsHNkDAABIkNgDAABIkNgDAABIkHP2AACgjXOeIB/EkT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAEiT0AAIAElRZ6ArC3alZNb/F953a7fD/OBAAAip8jewAAAAkSewAAAAkSewAAAAkSewAAAAkq+gu0NDQ0xO233x5z586N5ubmOOOMM2LMmDFRXl4eWZbF9773vXjkkUdi06ZNMWjQoJg4cWIceeSRhZ42fCgf5mI0AAAQ0QaO7H3jG9+IP/zhD3HnnXfGd7/73ViyZEmMHTs2IiKmTZsWDz30UEyaNClmzJgRW7ZsiWuuuabAMwYAACi8oo69pqamePzxx2PkyJHRv3//GDhwYNxwww3x61//OjZt2hTTp0+P6667LoYNGxa9e/eOSZMmxXPPPRfLli0r9NQBAAAKqqhjr6GhIbZt2xYdO3bMjR166KHR3Nwcy5cvj3Xr1sWQIUNy2yorK6Nbt26xcOHCQkwXAACgaBT1OXsf//jHo6qqKu67777o0aNHRETcd9990b9//3j77bejpKQkunbtmnefLl26RH19fYufc/DgwbvcNnLkyDjuuONa/NgAAACtpahjLyJi4sSJ8eUvfzkGDhwYERGlpaXx05/+NFavXh1lZWVRUpJ/cLJjx47R0NBQiKkCAAAUjaKOvbVr10ZtbW0MHjw4rrjiioiI+OlPfxq1tbUxfvz4aGxsjObm5rzga2xsjPLy8hY/57x583a5bcWKFUISAABoE4o69v7zP/8zNm7cGHfccUeUlZVFRETfvn3j1FNPjZUrV0aWZbFmzZqorKzM3WfNmjVx9tlnF2rKAAAARaGoL9Cyffv2aNeuXd7YIYccEoccckhUVFTEUUcdFfPnz89tW7lyZdTV1e32vDsAAICDQVEf2Rs2bFhMnTo1brjhhvjKV74SpaWlMXPmzMiyLGpqauLNN9+MqVOnRkVFRbRv3z5uvfXWqKmpiWOPPbbQUwcAACiooo69o48+OmbOnBnf+9734uqrr44sy6Kqqip+8pOfxBFHHBG1tbWxefPmuOmmm2Lr1q1RU1MTEydOLPS0AQAACq6oYy8i4oQTToh77733A7cdcsghceONN8aNN97YyrMCAAAobkV9zh4AAAAtI/YAAAASJPYAAAASVPTn7AEAAGmpWTW9xfed2+3y/TiTtDmyBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkCCxBwAAkKDSQk8AAABom2pWTS/0FNgNR/YAAAASJPYAAAASJPYAAAAS5Jw9AAAoEs6BY39yZA8AACBBYg8AACBBYg8AACBBYg8AACBBLtByECvECcBOOgYAgNbhyB4AAECCxB4AAECCxB4AAECCxB4AAECCxB4AAECCxB4AAECCxB4AAECCxB4AAECCxB4AAECCSvf2hpdccsleP2i7du3iJz/5SYsmBAAAwIe317G3devWaNeu3W5vs2bNmvjrX/+6x9sBAABwYO117D300EO73LZ9+/aYNm1afP/734+Pf/zjMXr06P0yOQAAAFpmr2NvV5YuXRrjx4+PP/7xjzF8+PAYM2ZMfPzjH98fcwMAAKCFWhx7GzdujO9+97vxs5/9LCorK+NHP/pRDBo0aH/ODQAAgBZqUew9+eSTMWXKlKivr49LL700Ro4cGe3bt9/fcwMAAKCF9in2Xn/99fjGN74RTz31VJxwwgnxgx/8IHr16nWg5gYAAEAL7XXsTZ8+Pe66667IsixuuummuOyyy6KkxJ/pAwAAKEZ7HXvf/OY3o127dlFZWRm//vWv49e//vUub9uuXbt44IEH9ssEAQAA2Hd7HXsDBgw4kPMAAABgP9rr2JsxY8aBnAcAAFAANaumF3oKHCBOugMAAEiQ2AMAAEiQ2AMAAEiQ2AMAAEiQ2AMAAEiQ2AMAAEiQ2AMAAEiQ2AMAAEiQ2AMAAEhQaaEnwIdTs2p6oacAAAAUIUf2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAEiT2AAAAElRa6AlAa6hZNb3QUwAAgFblyB4AAECCxB4AAECCxB4AAECCnLMHAAAk78Ncw2Fut8v340xajyN7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACRJ7AAAACWoTsXfffffFGWecEVVVVXHBBRfE0qVLIyIiy7K48847Y9CgQdGvX7+49tprY926dQWeLQAAQOEVfez97//9v2PatGkxatSomDlzZhx55JHx9a9/PbZu3RrTpk2Lhx56KCZNmhQzZsyILVu2xDXXXFPoKQMAABRcUcdeU1NT3HffffH1r389zjnnnKiqqopbb701Nm/eHK+88kpMnz49rrvuuhg2bFj07t07Jk2aFM8991wsW7as0FMHAAAoqKKOveeffz7efvvtOPfcc3NjnTt3jmeeeSYOOeSQWLduXQwZMiS3rbKyMrp16xYLFy4sxHQBAACKRmmhJ7A7f/rTn+Kwww6Lp59+On7wgx/E+vXro2/fvnHTTTdFXV1dlJSURNeuXfPu06VLl6ivr2/xcw4ePHiX20aOHBnHHXdcix8bAACgtRT1kb133nknGhsb44c//GGMGTMm7rnnnigpKYnLLrssGhoaoqysLEpK8l9Cx44do6GhoUAzBgAAKA5FfWSvubk5tm7dGrfffnv06tUrIiK6d++eO/rW2NgYzc3NecHX2NgY5eXlLX7OefPm7XLbihUrhCQAANAmFPWRvSOOOCIiIj75yU/mxsrLy6OioiLefPPNyLIs1qxZk3efNWvWRGVlZavOEwAAoNgUdeydeOKJERHx4osv5sbeeeedeOONN+JTn/pUHHXUUTF//vzctpUrV0ZdXd1uz7sDAAA4GBT1xzg//elPxxlnnBFjx46NsWPHxuGHHx7f//7347jjjovTTjstLr744pg6dWpUVFRE+/bt49Zbb42ampo49thjCz11AACAgirq2IuIuOOOO+L222+PG264IbZt2xannHJK3HvvvVFSUhK1tbWxefPmuOmmm2Lr1q1RU1MTEydOLPSUAQAACq5dlmVZoSfRVuy4QEunTp2iR48ehZ5ORETUrJpe6CkAAECrmdvt8hbd78P83NzS5zxQ9rZLivqcPQAAAFpG7AEAACRI7AEAACSo6C/QAgAAsINrVuw9R/YAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAASJPYAAAAS1KZib9asWXH88cfH+vXrIyKiqakpJkyYENXV1TFgwIAYO3ZsNDQ0FHiWAAAAhddmYu+NN96IKVOm5I3ddtttsWDBgpg6dWrcf//9sWLFihg3blyBZggAAFA82kzsjRs3Lnr27Jn7esOGDfHoo4/Gv//7v8fAgQOjX79+MWbMmHjyySejvr6+gDMFAAAovDYRe4888kisXbs2rr766tzYkiVLIiJi4MCBubG+fftGaWlpLFq0qNXnCAAAUExKCz2BPVm9enX8x3/8R/z4xz+ODRs25Mbr6uqioqIiysrKcmNlZWXRuXPnD3Vkb/DgwbvcNnLkyDjuuONa/NgAAACtpaiP7GVZFmPHjo0RI0bkfYQzIqKhoSHat2+/0306duzoIi0AAMBBr6iP7M2cOTPefvvtqK2t3WlbeXl5bNmyZafxxsbGKC8vb/Fzzps3b5fbVqxYISQBAIA2oahjb/78+fHyyy/HSSedFBHvHemLiDj99NPjE5/4RKxduzaamppyH+Xctm1brF27Nrp27VqwOQMAABSDoo69CRMmxMaNG3NfL1u2LEaNGhUzZsyIo48+Ok4//fR49tln49RTT42IiMWLF0eWZTFgwIBCTRkAAKAoFHXsdenSJbp06ZL7et26dRERccwxx0Tnzp3jvPPOi1tuuSUmTZoUmzZtiokTJ8ZFF10UHTt2LNSUAQAAikJRx96ejB8/PqZMmRK1tbVRWloaw4cPj1GjRhV6WgAAAAXXLttxIhx7tOMCLZ06dYoePXoUejoREVGzanqhpwAAAEmb2+3yQk8hz952SVH/6QUAAABaRuwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkSOwBAAAkqOhjr76+Pq6//voYMGBA9OnTJ0aMGBHLly+PiIgsy+LOO++MQYMGRb9+/eLaa6+NdevWFXjGAAAAhVf0sTdy5Mh45ZVX4u67744HHnggysvL46qrrorNmzfHtGnT4qGHHopJkybFjBkzYsuWLXHNNdcUesoAAAAFV1roCezOq6++GosXL45HHnkk+vbtGxER3/72t6O6ujpmz54d06dPj+uuuy6GDRsWERGTJk2KoUOHxrJly6KqqqqQUwcAACiooj6y98Ybb0SXLl2iZ8+eubFOnTpFhw4dYvXq1bFu3boYMmRIbltlZWV069YtFi5cWIjpAgAAFI2iPrJ3yimnxG9/+9u8sccffzw2bNgQ3bt3j5KSkujatWve9i5dukR9fX2Ln3Pw4MG73DZy5Mg47rjjWvzYAAAAraWoY+9vbdu2LaZNmxZ33XVXnHnmmdHQ0BBlZWVRUpJ/cLJjx47R0NBQoFkCAAAUhzYRey+88EKMHj06Xnnllbjiiiti5MiRMX/+/GhsbIzm5ua84GtsbIzy8vIWP9e8efN2uW3FihVCEgAAaBOK+py9iIjf/OY3cfHFF0fHjh3j5z//edx4443xkY98JCoqKiLLslizZk3e7desWROVlZUFmi0AAEBxKOrY27hxY4wePTqGDRsWDz74YPTo0SO3rUePHnHUUUfF/Pnzc2MrV66Murq63Z53BwAAcDAo6o9xLliwIBoaGuLKK6+M1atX52372Mc+FhdffHFMnTo1Kioqon379nHrrbdGTU1NHHvssQWaMQAAQHEo6tirq6uLrVu3xpe+9KWdtl177bVxzTXXxObNm+Omm26KrVu3Rk1NTUycOLH1JwoAAFBk2mVZlhV6Em3Fjgu0dOrUKe8jpYVUs2p6oacAAABJm9vt8kJPIc/edklRn7MHAABAy4g9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABLX52GtqaooJEyZEdXV1DBgwIMaOHRsNDQ2FnhYAAEBBtfnYu+2222LBggUxderUuP/++2PFihUxbty4Qk8LAACgoEoLPYEPY8OGDfHoo4/GPffcEwMHDoyIiDFjxsQll1wS9fX1ccQRRxR4hgAAAIXRpo/sLVmyJCIiF3oREX379o3S0tJYtGhRoaYFAABQcG36yF5dXV1UVFREWVlZbqysrCw6d+4c9fX1LXrMwYMH73LbLbfcEuXl5bF58+ZYsWJFix5/f7um6ZOFngIAACRtxcbi+Nl/h82bN0dERGNj425v16Zjr6GhIdq3b7/TeMeOHQ/IRVp2RGVzc3PRXATm76NToacAAABJa9haHD/7v19zc/Nut7fp2CsvL48tW7bsNN7Y2Bjl5eUtesx58+btctsLL7wQTU1NUVJSEoceemiLHn9/WrZsWUREVFVVFXgmBwfr3bqsd+ux1q3Lercea926rHfrst6tpxjXurGxMZqbm/M+4fhB2mVZlrXSnPa72bNnx/XXXx///d//nXuh27Zti379+sXdd98dp59+eoFneGDt+Mjp7gKV/cd6ty7r3Xqsdeuy3q3HWrcu6926rHfractr3aYv0FJdXR1ZlsWzzz6bG1u8eHFkWRYDBgwo4MwAAAAKq03HXnl5eZx33nlxyy23xOLFi+Ppp5+OsWPHxkUXXRQdO3Ys9PQAAAAKpk2fsxcRMX78+JgyZUrU1tZGaWlpDB8+PEaNGlXoaQEAABRUm4+9Dh06xOTJk2Py5MmFngoAAEDRaNMf4wQAAOCDtemrcQIAAPDBHNkDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNgDAABIkNhrIyZPnhyTJk3a4+1WrFgRF198cfTt2zfOOuus+PnPf563ffXq1XHllVdGv3794owzzogf/vCHB2rKbc7ChQvjC1/4QvTp0yeGDx8eTz31VKGnlLT9vd7vvPNO/K//9b/iM5/5TJx66qnxrW99K7Zu3bp/JtvG7etaL1u2LL785S/HiSeeGP3794/rr78+3n777VaZa1vU1NQUEyZMiOrq6hgwYECMHTs2Ghoadnn7Bx98MIYOHRonnnhiXHbZZfHqq6/mbf/Vr34Vn/3sZ6Nv375x4YUXxh/+8IcD/Araln1Z723btsUdd9wRp512WvTu3Tv+8R//MZ544olWnnHbta/79p7Yt3dvf683e7Z+/fo44YQTYv369bu8TZZlceedd8agQYOiX79+ce2118a6devybrOn9/WCyihq27Zty55++umsX79+2Te+8Y3d3vbdd9/NTj311Gz06NHZ8uXLs8ceeyzr3bt39tRTT2VZlmXbt2/PPve5z2Vf/epXs+effz6bM2dOdvLJJ2cPPvhga7yUorZy5crsxBNPzL7zne9kL730UjZ9+vSsV69e2fLlyz/w9pdffnnWu3fvD/z32GOPZVmWZbfffvtO2y655JJWfFXFa1/XO8uy7LrrrttpPUePHp3b/tWvfjW74IILsiVLlmQLFizIampqsm9961ut8XKK2r6u9fr167OTTz45+/rXv549//zz2bx587Kzzz47+9rXvpa7jX0738SJE7N/+Id/yBYsWJAtWbIk++IXv5iNHDnyA2/7xBNPZH369Mkee+yxbPny5dlNN92UDR06NNu8eXOWZVn2P//zP1mvXr2yH//4x9lLL72Ufetb38o+85nPZG+88UYrvqLiti/rfeedd2b9+/fPHn/88Wz58uXZ1KlTs+OPPz57/vnnsyzLsg0bNmRVVVU77c/PPPNMK76i4rUva718+fIP/H9iXV1dlmX27b2xt+v9+9//fpc/g5x11llZltm398Ybb7yRXX/99Vn37t2z+vr6Xd7uhz/8YVZdXZ3NmTMnW7ZsWfaVr3wl+6d/+qfc9j29rxea2Ctiq1atynr37p1179496969+x5j74EHHsiGDBmSNTU15cZGjx6dXXXVVVmWZdlTTz2VVVVVZW+99VZu+1133ZWde+65B2T+bck3v/nN7IILLsgb+5d/+Zddrvnq1auzl19+Oe/f9773vWzYsGG5N4wrr7wyu/vuu/Nus3r16gP+WtqCfV3vLMuyc845J3v00Ufz1nPHDwl/+tOfsu7du2d/+tOfcrd/7LHHsgEDBuT993Aw2te1/tnPfpZ95jOfyRobG3Nj8+bNy7p3756tWbMmyzL79t965513sl69euV+qZZl7/0g1qNHj2zdunU73f7888/P+yXE5s2bs759+2a/+tWvsix775caf/vDXXNzczZs2LDsRz/60YF7EW3Ivq73oEGDsvvuuy9v7MILL8z+/d//PcuyLHvuueeygQMH7vR+vmnTpgP7QtqAfV3rxx9/PPvCF76w01rueA+2b+/evqz3pk2bdlrnF154ITv99NOz6dOnZ1lm396T8ePH536+3l3sNTc3Z6eeemregZHVq1dn3bt3z5YuXZpl2Z7f1wvNxziL2FFHHRWPPPJIzJo1K3r16rXH2y9atCgGDhwYH/nIR3Jj1dXVsXDhwoh476Ncffr0icMPPzxv+5/+9Keor6/f7/NvSxYtWhRDhgzJGzv55JNza/d+lZWV8clPfjL3r6SkJH784x/Hd7/73ejcuXNERLz66qtxyimn5N2usrLygL+WtmBf13v79u1RV1cXQ4YMyVvPioqK3ONVVlbGpz71qbzHe+edd2L58uUH7oW0Afu61m+99Vb0798/ysrKcmNHHHFERESsXbs2Iuzbf2vJkiURETFw4MDcWN++faO0tDQWLVqUd9uNGzfGCy+8kPf9aN++ffTp0yf3/Xj/96tdu3YxYMCAXX6/Djb7st6NjY1xyCGHRN++ffPGjzjiiNy+/Oc//zmOP/74vH35k5/8ZHTo0OEAv5Lity9rHfHe+0KvXr12WssdP5PYt3dvX9a7Q4cOO63zzJkzo2fPnnHZZZdFhH17T2pra2PWrFkxefLk3d7u5ZdfjnXr1uXtu5WVldGtW7dYuHDhXr2vF5rYK2JlZWXRs2fP6NmzZ3Tq1GmPt1+5cmUcffTReWNdunSJLVu2xMaNG3e5PSJ2+uzxwWZXa7M3EZxlWdx8881x7rnnRp8+fSLivc/dr169On7605/GGWecEUOHDo1JkybFu+++e0Dm39bs63qvWrUqIiJuvfXWGDx4cJx11lkxderUaGpqioiIurq66NatW959doSgfXvf1rq2tjbuvffevLGZM2dGhw4d4u///u/t2+9TV1cXFRUVeXFcVlYWnTt33mmNV61aFc3Nzbv8fmzcuDHeeuutFr8XHQz2Zb0PPfTQePrpp6O6ujo39tprr8WCBQuiZ8+eEfFeoGzYsCEuuOCCqK6ujgsvvDB+97vftc6LKXL7stYR763la6+9Fuedd16ccsopcemll8bSpUsjIuzbe2Ff1/tvPfPMM/GLX/wixo0blxuzb+9eZWVl9OzZM4455pjd3q6uri5KSkqia9eueeM79t09va8XA7GXkIaGhjj00EPzxjp27JjbtqftB7MPWptOnTrt1br86le/ihdffDFGjhyZG/vLX/4Szc3NccQRR8Q999wTY8eOjd/+9rfxr//6r5Fl2X6ff1uzr+v95z//ObZv3x6f/vSn44c//GFcc8018fDDD8eECRNyj9e+ffu8+5SWlsahhx5q3/4Q+/Zbb70VN9xwQzz88MNx/fXXR6dOnezb7/NB+17Ee++t71/jHV+///Y7brun7ezber/fnDlz4uKLL47OnTvHFVdcERHv/UBcX18fX/va1+JHP/pR9O3bN6666qoPPHJ1sNnXtf7zn/8c77zzTowePTruvffeOPLII+OSSy6JP//5z/btvdDSfbu5uTkmT54cl1xySd4vPe3b+0dDQ0OUlZVFSUl+MrWl9+3SQk/gYPbuu+/Gm2++ucvtxx13XLRr126vH++jH/1obNmyJW+ssbExIiI+9rGP7XF7yva01rtam/Ly8t0+bpZlcdddd8Wll16a+6hbRMSxxx4bTz31VHziE5+IiIhevXrFkUceGRdddFG89NJL0aNHjw/xaorf/l7vk08+OZ5++unc0bqePXtGaWlp3HjjjTFu3Lj46Ec/Gq+99lrefbIsi61bt+7xe9jWHah9+5e//GVMnjw5mpub41vf+lZ8/vOfjwj79vuVl5fvtL4RH7zGO77evHlz3nhTU1OUl5fHRz/60d1uZ9/We4f169fH+PHjY86cOTF06NCYPHlybq3Hjx8fHTp0iMMOOywiIqqqquKVV16JGTNm5B0RPBjt61p///vfj8MPPzz3Q2+fPn3ic5/7XDz88MO5X4bat3etJft2RMQTTzwRr7/+elx99dV54/bt/aO8vDwaGxujubk5L/h2fF/29L5eDMReAc2ePTvGjBmzy+1LlizZq49v7lBRURF//etf88Zef/316Ny5c7Rv3z4qKirij3/8407bDznkkNzHOVO1p7U++uijP3Dt9nQe0u9+97t47bXX4qKLLsobP/TQQ3M/DO+w44fgtWvXJv8D8f5e706dOu3030KPHj0iy7J48803o0uXLvFf//VfedvfeOONaG5u3umjF6k5EPv2HXfcEffee2988YtfjH/7t3/L+0XGwb5vv19FRUWsXbs2mpqach+/2rZtW6xdu3anfe+oo46KiPfW/29/A//666/HCSecEB07dozDDjssXn/99bz77c170cFiX9Y74r2PMf/Lv/xLNDc3x9133x1nnnlm3vYd35O/dfzxx8d///d/H5gX0Ibs61r/3d/9Xd7XJSUl8elPfzrWrl1r394L+7reO/z0pz+N8847L/cLjB3s2/tHRUVFZFkWa9asydtX16xZE2efffYe39eLgY9xFtCXvvSleOmll3b5b19CLyJiyJAhsXDhwti+fXtubP78+TFo0KDc9qVLl+adWzN//vzo27dv7jc/qdrTWn/2s5+N+fPn593nb9duV/7f//t/0b9//9wRpx2+//3vx4UXXpg3tnTp0mjXrl3eRURStb/X++abb46vf/3reWNLly6NDh06xNFHHx1DhgyJVatW5R3dmzdvXnTp0iX59d7fa/3ss8/GvffeG+PHj4/bb789L/Qi7NvvV11dHVmWxbPPPpsbW7x4cWRZFgMGDMi77eGHHx59+vSJefPm5cY2btwYzz33XAwePDgi3nuf/tvt27dvj4ULF+a2H+z2Zb0j3nvv6NChQ8yaNWun0Nu8eXMMGjQoZs+enTe+bNmy+PSnP31gXkAbsi9rXVdXF9XV1fH888/nxrZv3x4vvvhibi3t27u3r/t2xHsf1Xzuuefi3HPPzRu3b+8/PXr0iKOOOirv/6MrV66Murq6GDx48F69rxdcAa4ASguMGDFip0ulb968OfvLX/6S+zseb731VlZdXZ2NHz8+e/HFF7N77703O+GEE3KXht26dWv22c9+NrvmmmuyF154IfvZz36W9e7dO/uv//qvVn89xebVV1/Nqqqqsrvuuit74YUXsilTpmQnnnhi9te//jXLsvfW7i9/+Uv27rvv5u6zbdu27KSTTtrpst5ZlmXLli3LevXqld1yyy3Z0qVLs7lz52bDhg3LbrzxxlZ7TcVsX9d7zpw5Wc+ePXO3/+Uvf5mdcsop2R133JF7zEsuuSS78MILs+eeey57/PHHs/79++cuQX0w29e1vuWWW7Lhw4dnf/nLX3b6t3nzZvv2BxgzZkx29tlnZ7///e+zp556KjvjjDOyW265JcuyLFu3bl22atWq3G0fe+yx7MQTT8wef/zxbMmSJdlll12WfeELX8i2b9+eZdl7l1o/4YQTsgcffDBbunRpdv3112dDhgzJNm7cWJDXVoz2dr3r6+uz448/PnvkkUd22pd3/BmRa6+9NjvjjDOy2bNnZ88//3x2++23Z7169cpefvnlgr2+YrIv+/YXv/jFbPjw4dnvfve77Lnnnsv+7d/+Levfv3/ukvb27T3bl/XOsvf+/tuJJ56Ybd26dafHsm/vnYULF+70pxfWrFmTe4/Isiy7++67s1NPPTV76qmnsoULF2bnnXdeVltbm9u+p/f1QhN7bcQHxd6OHXThwoW5sWXLlmUXXHBB1rt37+zss8/OZs+enXefurq67NJLL82qqqqyoUOHZg8//HCrzL8t+O1vf5t97nOfy6qqqrIvfvGL2eLFi3PbVq5cmXXv3j37v//3/+bGXnzxxax79+7ZokWLPvDxnn766ez888/PqqqqslNPPTWbMGFC1tDQcMBfR1uxr+s9a9as7Nxzz8169+6dnX766dl3v/vdvP/B1dfXZ9dee23Wt2/fbNCgQdk999zTqq+nmO3LWn/1q1/N+9tDf/tvx3uNfTvfpk2bsnHjxmUnnXRSdvLJJ2e33HJL7m+LjRo1Khs6dGje7adNm5YNHjw469u3b3bVVVfl/VCRZe/t68OGDcuqqqqyL3/5y3l/P5K9X+/nnntul/vyiBEjsizLsnfffTebMGFCduqpp2a9e/fOzj///Ox3v/tdwV5bsdmXfXvHH6g++eSTs759+2YjRozI/bJ5B/v27u3re8nXvva13L78fvbtvfNBsTdixIi8dd22bVv27W9/Ozv55JOzfv36ZTfccEPeL/+zbM/v64XULssOwsunAQAAJM45ewAAAAkSewAAAAkSewAAAAkSewAAAAkSewAAAAkSewAAAAkSewAAAAkSewDQChYtWhTHH398LFiwoNBTAeAgIfYAAAASJPYAAAASJPYAYA+uuOKKGDBgQGzdujVvfMyYMdG/f/9obGyM2bNnxz/90z9Fv379orq6Oi6//PJ49tlnd/mYo0ePjtNOOy1vbNWqVXH88cfHo48+mhvbvHlz3H777XHaaadFnz594p//+Z9j7ty5+/cFApAksQcAezB8+PDYsGFD/P73v8+Nbd26NX7961/H2WefHcuXL4/rrrsujjnmmLjtttti9OjR8dZbb8VXvvKVePvtt1v8vNu3b4+rr746HnvssbjiiiviO9/5ThxzzDHxta99LZ544on98MoASFlpoScAAMXuzDPPjIkTJ8bs2bNj0KBBERHxzDPPxDvvvBOf//zn449//GOcdNJJ8Z3vfCfatWsXERF/93d/F5dddlm89NJLUV1d3aLn/dWvfhWLFi2Kn/3sZ9GvX7+IiDjrrLPirbfeiqlTp8Y//uM/7p8XCECSHNkDgD047LDDoqamJubMmRNZlkVExJNPPhldu3aN/v37xz//8z/Hgw8+GBs3boznn38+nnzyyXjooYci4r2jcy319NNPR5cuXaJ79+7R0NCQ+3faaafFa6+9FvX19fvl9QGQJkf2AGAvnHfeefHEE0/EH/7wh6iqqoo5c+bExRdfHO3atYuVK1fG+PHjY9GiRdG5c+c49thj4xOf+MQ+P8eOkNxh3bp18cYbb8RJJ530gbd/66234ogjjmjR6wEgfWIPAPbC4MGD4+Mf/3jMnj07Ghoa4u23347Pf/7zERExatSoqK+vjyeffDKOOeaYiIhYsGBB/PKXv9zl4+34uOffev/5fR/96Edz5wF+kMrKyha+GgAOBmIPAPbCRz7ykTjnnHNizpw58e6770afPn3i7//+7yMiYvny5XH++efnQi8i9vjH0zt27BgNDQ2RZVku/BYvXpx3m5NPPjmeeuqpOOaYY6KioiI3fv/998czzzwT06ZN218vD4AEiT0A2EvDhw+PmTNnxpo1a2LUqFG58aqqqvjFL34Rn/rUp+JjH/tY/OY3v4n/+Z//iYj3LuTSo0ePnR7rM5/5TDzwwAPxgx/8IM4///x48cUX4yc/+Unebc4///yYOXNmXHHFFXHppZfGYYcdFvPnz4//83/+T4wZMyZKSpx6D8Cu+b8EAOylk046KY4++uhobm6Oc845Jzd+2223RVVVVXzzm9+MW2+9NTp37hw///nPY9CgQfGTn/wkVq5cudNjnXPOOVFbWxsPPPBAnHXWWXH//ffH7bffnnebDh06xAMPPBC9e/eOb3/72zFq1KhYunRpTJ48OS699NID/noBaNvaZe8/GxwAAIA2z5E9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABIk9AACABP1/XmVWYW8McgYAAAAASUVORK5CYII=", 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", 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", 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" ] @@ -506,8 +506,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.773393, - "end_time": "2024-05-08T19:22:51.138003", + "duration": 4.240822, + "end_time": "2024-05-08T19:32:57.014352", "environment_variables": {}, "exception": null, "input_path": "Uniform_prior.ipynb", @@ -516,7 +516,7 @@ "func_name": "Uniform_prior", "positive_prior": false }, - "start_time": "2024-05-08T19:22:48.364610", + "start_time": "2024-05-08T19:32:52.773530", "version": "2.6.0" } }, diff --git a/_sources/notebooks/WAbs.ipynb.txt b/_sources/notebooks/WAbs.ipynb.txt index ea77b49c..d76c0432 100644 --- a/_sources/notebooks/WAbs.ipynb.txt +++ b/_sources/notebooks/WAbs.ipynb.txt @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "5f92a8fd", + "id": "a2732090", "metadata": { "papermill": { - "duration": 0.011768, - "end_time": "2024-05-08T19:20:46.520871", + "duration": 0.007782, + "end_time": "2024-05-08T19:30:31.521412", "exception": false, - "start_time": "2024-05-08T19:20:46.509103", + "start_time": "2024-05-08T19:30:31.513630", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - 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"start_time": "2024-05-08T19:20:56.496526", + "start_time": "2024-05-08T19:30:43.604407", "status": "completed" }, "tags": [] @@ -594,8 +594,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.613508, - "end_time": "2024-05-08T19:20:57.071813", + "duration": 4.650031, + "end_time": "2024-05-08T19:30:44.565022", "environment_variables": {}, "exception": null, "input_path": "ZDust.ipynb", @@ -607,7 +607,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:53.458305", + "start_time": "2024-05-08T19:30:39.914991", "version": "2.6.0" } }, diff --git a/_sources/notebooks/function_list.ipynb.txt b/_sources/notebooks/function_list.ipynb.txt index a3555b6a..a5dd198a 100644 --- a/_sources/notebooks/function_list.ipynb.txt +++ b/_sources/notebooks/function_list.ipynb.txt @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "1170d7cf", + "id": "16eacb2e", "metadata": {}, "source": [ "# Available Functions\n", @@ -15,7 +15,7 @@ }, { "cell_type": "markdown", - "id": "b6b1c0b8", + "id": "ed2b4c44", "metadata": { "tags": [ "nbsphinx-gallery" @@ -63,7 +63,7 @@ }, { "cell_type": "markdown", - "id": "b1fbf90a", + "id": "f6480542", "metadata": {}, "source": [ "## Included 2D Functions" @@ -71,7 +71,7 @@ }, { "cell_type": "markdown", - "id": "1faa2d40", + "id": "cbeb6dc2", "metadata": { "tags": [ "nbsphinx-gallery" @@ -90,7 +90,7 @@ }, { "cell_type": "markdown", - "id": "68d6d536", + "id": "8926ef65", "metadata": {}, "source": [ "## Included Prior Functions\n", @@ -100,7 +100,7 @@ }, { "cell_type": "markdown", - "id": "40d2ef5a", + "id": "63edb0c1", "metadata": { "lines_to_next_cell": 0, "tags": [ @@ -125,7 +125,7 @@ }, { "cell_type": "markdown", - "id": "b449e570", + "id": "9c6fc463", "metadata": {}, "source": [] } diff --git a/notebooks/Additional_features_for_scripts_and_applications.html b/notebooks/Additional_features_for_scripts_and_applications.html index 952a23c6..c8b8782f 100644 --- a/notebooks/Additional_features_for_scripts_and_applications.html +++ b/notebooks/Additional_features_for_scripts_and_applications.html @@ -117,7 +117,7 @@

Additional features for scripts and applications

-
19:19:24 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
+
19:28:56 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
                   available
diff --git a/notebooks/Additional_features_for_scripts_and_applications.ipynb b/notebooks/Additional_features_for_scripts_and_applications.ipynb index f1654ff3..de32c79e 100644 --- a/notebooks/Additional_features_for_scripts_and_applications.ipynb +++ b/notebooks/Additional_features_for_scripts_and_applications.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "a268f9c9", + "id": "ecc977b6", "metadata": {}, "source": [ "# Additional features for scripts and applications\n", @@ -15,25 +15,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "4c528336", + "id": "228d80aa", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:22.998848Z", - "iopub.status.busy": "2024-05-08T19:19:22.998245Z", - "iopub.status.idle": "2024-05-08T19:19:24.941300Z", - "shell.execute_reply": "2024-05-08T19:19:24.940717Z" + "iopub.execute_input": "2024-05-08T19:28:54.319643Z", + "iopub.status.busy": "2024-05-08T19:28:54.319037Z", + "iopub.status.idle": "2024-05-08T19:28:57.108101Z", + "shell.execute_reply": "2024-05-08T19:28:57.107217Z" } }, "outputs": [ { "data": { "text/html": [ - "
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For example, you can loop over all point sources and print their position:" @@ -131,13 +131,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "a928bf4e", + "id": "bb3b1051", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.969471Z", - "iopub.status.busy": "2024-05-08T19:19:24.969336Z", - "iopub.status.idle": "2024-05-08T19:19:24.977326Z", - "shell.execute_reply": "2024-05-08T19:19:24.976887Z" + "iopub.execute_input": "2024-05-08T19:28:57.146604Z", + "iopub.status.busy": "2024-05-08T19:28:57.146340Z", + "iopub.status.idle": "2024-05-08T19:28:57.150570Z", + "shell.execute_reply": "2024-05-08T19:28:57.149099Z" } }, "outputs": [ @@ -158,7 +158,7 @@ }, { "cell_type": "markdown", - "id": "146ff749", + "id": "edf318a0", "metadata": {}, "source": [ "## Accessing components and spectral shapes with no previous information\n", @@ -169,13 +169,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "f87270a3", + "id": "af356c13", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.979216Z", - "iopub.status.busy": "2024-05-08T19:19:24.979116Z", - "iopub.status.idle": "2024-05-08T19:19:24.985336Z", - "shell.execute_reply": "2024-05-08T19:19:24.984935Z" + "iopub.execute_input": "2024-05-08T19:28:57.154350Z", + "iopub.status.busy": "2024-05-08T19:28:57.154098Z", + "iopub.status.idle": "2024-05-08T19:28:57.157475Z", + "shell.execute_reply": "2024-05-08T19:28:57.156617Z" } }, "outputs": [ @@ -194,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "516b2438", + "id": "205f3579", "metadata": {}, "source": [ "So now we can loop over all the sources and print their components:" @@ -203,13 +203,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "8ce3aa91", + "id": "884a2a5e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.987218Z", - "iopub.status.busy": "2024-05-08T19:19:24.987123Z", - "iopub.status.idle": "2024-05-08T19:19:24.989262Z", - "shell.execute_reply": "2024-05-08T19:19:24.988890Z" + "iopub.execute_input": "2024-05-08T19:28:57.161747Z", + "iopub.status.busy": "2024-05-08T19:28:57.161502Z", + "iopub.status.idle": "2024-05-08T19:28:57.165683Z", + "shell.execute_reply": "2024-05-08T19:28:57.164431Z" } }, "outputs": [ @@ -230,7 +230,7 @@ }, { "cell_type": "markdown", - "id": "88f10a4f", + "id": "4fc95a6b", "metadata": {}, "source": [ "With a fully-qualified path, you would need to know the name of the function to access its parameters. Instead, you can use the generic name “shape”. For example these two statements point to the same function instance:" @@ -239,13 +239,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "07c38242", + "id": "965fafb4", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:24.991113Z", - "iopub.status.busy": "2024-05-08T19:19:24.991015Z", - "iopub.status.idle": "2024-05-08T19:19:24.999983Z", - "shell.execute_reply": "2024-05-08T19:19:24.999591Z" + "iopub.execute_input": "2024-05-08T19:28:57.169223Z", + "iopub.status.busy": "2024-05-08T19:28:57.168974Z", + "iopub.status.idle": "2024-05-08T19:28:57.173581Z", + "shell.execute_reply": "2024-05-08T19:28:57.172672Z" } }, "outputs": [ @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "2db7f2a8", + "id": "8f0ef524", "metadata": {}, "source": [ "Once you have a function instance, you can obtain a dictionary of its parameters as:" @@ -275,13 +275,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "23ec2ba7", + "id": "8ebc55cf", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:25.001988Z", - "iopub.status.busy": "2024-05-08T19:19:25.001891Z", - "iopub.status.idle": "2024-05-08T19:19:25.004136Z", - "shell.execute_reply": "2024-05-08T19:19:25.003741Z" + "iopub.execute_input": "2024-05-08T19:28:57.177081Z", + "iopub.status.busy": "2024-05-08T19:28:57.176816Z", + "iopub.status.idle": "2024-05-08T19:28:57.179931Z", + "shell.execute_reply": "2024-05-08T19:28:57.179330Z" } }, "outputs": [ @@ -300,7 +300,7 @@ }, { "cell_type": "markdown", - "id": "0cf56c78", + "id": "060194f2", "metadata": {}, "source": [ "Putting it all together, let’s loop over all sources in our model, then over each component in each source, then over each parameter in each component:" @@ -309,13 +309,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "56244375", + "id": "2148e2f4", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:25.006002Z", - "iopub.status.busy": "2024-05-08T19:19:25.005904Z", - "iopub.status.idle": "2024-05-08T19:19:25.008548Z", - "shell.execute_reply": "2024-05-08T19:19:25.008152Z" + "iopub.execute_input": "2024-05-08T19:28:57.184184Z", + "iopub.status.busy": "2024-05-08T19:28:57.183933Z", + "iopub.status.idle": "2024-05-08T19:28:57.188976Z", + "shell.execute_reply": "2024-05-08T19:28:57.187894Z" } }, "outputs": [ @@ -360,7 +360,7 @@ }, { "cell_type": "markdown", - "id": "d60ff25d", + "id": "b7f1b5ab", "metadata": {}, "source": [ "Let’s now plot the differential flux between 1 and 100 keV of all components from all sources:\n", @@ -370,13 +370,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "5070b350", + "id": "156d6a17", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:25.010562Z", - "iopub.status.busy": "2024-05-08T19:19:25.010436Z", - "iopub.status.idle": "2024-05-08T19:19:26.881699Z", - "shell.execute_reply": "2024-05-08T19:19:26.881260Z" + "iopub.execute_input": "2024-05-08T19:28:57.192992Z", + "iopub.status.busy": "2024-05-08T19:28:57.192731Z", + "iopub.status.idle": "2024-05-08T19:28:59.611131Z", + "shell.execute_reply": "2024-05-08T19:28:59.610542Z" } }, "outputs": [ @@ -438,7 +438,7 @@ }, { "cell_type": "markdown", - "id": "2343b170", + "id": "8c691b3f", "metadata": {}, "source": [ "## Getting the path of an element and using it programmatically\n", @@ -449,13 +449,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "d5758ef4", + "id": "f2d857bd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.883847Z", - "iopub.status.busy": "2024-05-08T19:19:26.883679Z", - "iopub.status.idle": "2024-05-08T19:19:26.892377Z", - "shell.execute_reply": "2024-05-08T19:19:26.891985Z" + "iopub.execute_input": "2024-05-08T19:28:59.614548Z", + "iopub.status.busy": "2024-05-08T19:28:59.614237Z", + "iopub.status.idle": "2024-05-08T19:28:59.619327Z", + "shell.execute_reply": "2024-05-08T19:28:59.618593Z" } }, "outputs": [ @@ -487,7 +487,7 @@ }, { "cell_type": "markdown", - "id": "c84a8627", + "id": "f0c031a4", "metadata": {}, "source": [ "If you have a path of an element in a string, you can use it to access the element by using the [] operator of the Model class like this:" @@ -496,13 +496,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "6f54aad1", + "id": "63ce0c3a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.894315Z", - "iopub.status.busy": "2024-05-08T19:19:26.894212Z", - "iopub.status.idle": "2024-05-08T19:19:26.901823Z", - "shell.execute_reply": "2024-05-08T19:19:26.901460Z" + "iopub.execute_input": "2024-05-08T19:28:59.622701Z", + "iopub.status.busy": "2024-05-08T19:28:59.622370Z", + "iopub.status.idle": "2024-05-08T19:28:59.625791Z", + "shell.execute_reply": "2024-05-08T19:28:59.625030Z" } }, "outputs": [ @@ -525,7 +525,7 @@ }, { "cell_type": "markdown", - "id": "6b646cd2", + "id": "8e14906f", "metadata": {}, "source": [ "## Alternative way of accessing the information in the model\n", @@ -536,13 +536,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "e7e9db0b", + "id": "260802a0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.903895Z", - "iopub.status.busy": "2024-05-08T19:19:26.903796Z", - "iopub.status.idle": "2024-05-08T19:19:26.906497Z", - "shell.execute_reply": "2024-05-08T19:19:26.906142Z" + "iopub.execute_input": "2024-05-08T19:28:59.630208Z", + "iopub.status.busy": "2024-05-08T19:28:59.629861Z", + "iopub.status.idle": "2024-05-08T19:28:59.635582Z", + "shell.execute_reply": "2024-05-08T19:28:59.634573Z" } }, "outputs": [ @@ -577,7 +577,7 @@ }, { "cell_type": "markdown", - "id": "aea34a6f", + "id": "38af622e", "metadata": {}, "source": [ "Once you have the ID of a source, you can obtain information about it with these methods of the Model class:" @@ -586,13 +586,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "dd43cef4", + "id": "00867413", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:26.908455Z", - "iopub.status.busy": "2024-05-08T19:19:26.908323Z", - "iopub.status.idle": "2024-05-08T19:19:26.914774Z", - "shell.execute_reply": "2024-05-08T19:19:26.914348Z" + "iopub.execute_input": "2024-05-08T19:28:59.638719Z", + "iopub.status.busy": "2024-05-08T19:28:59.638504Z", + "iopub.status.idle": "2024-05-08T19:28:59.646997Z", + "shell.execute_reply": "2024-05-08T19:28:59.646332Z" } }, "outputs": [], @@ -613,7 +613,7 @@ }, { "cell_type": "markdown", - "id": "2c25eb9c", + "id": "d0ea61a3", "metadata": {}, "source": [ "Depending on your application you might find these methods more convenient that interrogating the sources directly. Note however that some features are not available through this interface. For example, it is not possible to get information about different components through these methods." @@ -622,7 +622,7 @@ { "cell_type": "code", "execution_count": null, - "id": "641e6c03", + "id": "7ac191d8", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/Asymm_Gaussian_on_sphere.ipynb b/notebooks/Asymm_Gaussian_on_sphere.ipynb index 722aff99..3c60ec04 100644 --- a/notebooks/Asymm_Gaussian_on_sphere.ipynb +++ b/notebooks/Asymm_Gaussian_on_sphere.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "ece25736", + "id": "21b6e43a", "metadata": { "papermill": { - "duration": 0.001355, - "end_time": "2024-05-08T19:22:16.358210", + "duration": 0.007728, + "end_time": "2024-05-08T19:32:18.375226", "exception": false, - "start_time": "2024-05-08T19:22:16.356855", + "start_time": "2024-05-08T19:32:18.367498", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "2a2ad62f", + "id": "9459e51b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:16.361277Z", - "iopub.status.busy": "2024-05-08T19:22:16.361075Z", - "iopub.status.idle": "2024-05-08T19:22:18.372686Z", - "shell.execute_reply": "2024-05-08T19:22:18.371627Z" + "iopub.execute_input": "2024-05-08T19:32:18.385924Z", + "iopub.status.busy": "2024-05-08T19:32:18.385184Z", + "iopub.status.idle": "2024-05-08T19:32:20.653254Z", + "shell.execute_reply": "2024-05-08T19:32:20.652402Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 2.016482, - "end_time": "2024-05-08T19:22:18.375801", + "duration": 2.276558, + "end_time": "2024-05-08T19:32:20.656405", "exception": false, - "start_time": "2024-05-08T19:22:16.359319", + "start_time": "2024-05-08T19:32:18.379847", "status": "completed" }, "tags": [] @@ -68,20 +68,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "76fa733e", + "id": "71c26489", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:18.381456Z", - 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"2024-05-08T19:21:47.205836", + "start_time": "2024-05-08T19:31:43.428657", "status": "completed" }, "tags": [] @@ -404,13 +404,13 @@ }, { "cell_type": "markdown", - "id": "1432a7fb", + "id": "bf44f040", "metadata": { "papermill": { - "duration": 0.00149, - "end_time": "2024-05-08T19:21:47.222791", + "duration": 0.002007, + "end_time": "2024-05-08T19:31:43.445872", "exception": false, - "start_time": "2024-05-08T19:21:47.221301", + "start_time": "2024-05-08T19:31:43.443865", "status": "completed" }, "tags": [] @@ -426,19 +426,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "0007b72d", + "id": "70a769ef", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:47.226878Z", - "iopub.status.busy": "2024-05-08T19:21:47.226575Z", - "iopub.status.idle": "2024-05-08T19:21:47.785473Z", - "shell.execute_reply": "2024-05-08T19:21:47.784760Z" + "iopub.execute_input": "2024-05-08T19:31:43.450886Z", + "iopub.status.busy": "2024-05-08T19:31:43.450540Z", + 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[] @@ -623,8 +623,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 4.211193, - "end_time": "2024-05-08T19:21:48.848421", + "duration": 4.284645, + "end_time": "2024-05-08T19:31:45.230619", "environment_variables": {}, "exception": null, "input_path": "Band.ipynb", @@ -636,7 +636,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:44.637228", + "start_time": "2024-05-08T19:31:40.945974", "version": "2.6.0" } }, diff --git a/notebooks/Band_Calderone.ipynb b/notebooks/Band_Calderone.ipynb index adb952b9..d463399b 100644 --- a/notebooks/Band_Calderone.ipynb +++ b/notebooks/Band_Calderone.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "829ff695", + "id": "1ff8666a", "metadata": { "papermill": { - "duration": 0.008312, - "end_time": "2024-05-08T19:21:53.615981", + "duration": 0.004507, + "end_time": "2024-05-08T19:31:50.852567", "exception": false, - "start_time": "2024-05-08T19:21:53.607669", + "start_time": 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@@ -370,13 +370,13 @@ }, { "cell_type": "markdown", - "id": "cb826a4a", + "id": "b2d68c7a", "metadata": { "papermill": { - "duration": 0.001661, - "end_time": "2024-05-08T19:22:56.357794", + "duration": 0.00173, + "end_time": "2024-05-08T19:33:03.345712", "exception": false, - "start_time": "2024-05-08T19:22:56.356133", + "start_time": "2024-05-08T19:33:03.343982", "status": "completed" }, "tags": [] @@ -390,19 +390,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "f437b8d2", + "id": "2e2986ec", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:56.363514Z", - "iopub.status.busy": "2024-05-08T19:22:56.362865Z", - "iopub.status.idle": "2024-05-08T19:22:56.762588Z", - "shell.execute_reply": "2024-05-08T19:22:56.762251Z" + "iopub.execute_input": "2024-05-08T19:33:03.350573Z", + "iopub.status.busy": "2024-05-08T19:33:03.350374Z", + "iopub.status.idle": "2024-05-08T19:33:03.778730Z", + "shell.execute_reply": "2024-05-08T19:33:03.777615Z" }, "papermill": { - 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", 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YAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgcQeAABAgfrv6I5nn332Dj9pv379cvPNN+/UQAAAALx9Oxx7W7ZsSb9+/d50n7Vr1+b//u//3nI/AAAA3lk7HHuLFy/e7rbXXnstCxYsyHe+8528973vzcyZM3fJcAAAAOycHY697Xnqqacya9asPPvss5k0aVIuueSSvPe9790VswEAALCTdjr2Nm3alG984xu5/fbb09LSku9///sZP378rpwNAACAnbRTsXfPPfdk7ty5aW1tzTnnnJNp06aloaFhV88GAADATupV7K1ZsyZXXHFFHnzwwRx22GH57ne/m8MPP/ydmg0AAICdtMOxt3Dhwnzzm99MpVLJ9OnTc+6556auzp/pAwAAqEU7HHtf+cpX0q9fv7S0tOT+++/P/fffv919+/Xrl1tuuWWXDAgAAEDv7XDsjRkz5p2cAwAAgF1oh2Nv0aJF7+QcAAAA7ELedAcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFCgqsdea2trPv/5z2fMmDEZOXJkzjrrrDzzzDNJkkqlkuuuuy7jx4/P6NGjc9FFF2X9+vU9Hn/rrbfmxBNPzFFHHZVzzz03zz//fDUOAwAAoKZUPfamTZuWX/3qV/nWt76VW265JU1NTfm7v/u7tLe3Z8GCBVm8eHHmzJmTRYsWZfPmzZk6dWr3Y+++++5cc801mTZtWm6//fYMGTIkF1xwQTZv3lzFIwIAAKi+qsbe888/n8ceeyxz5szJ2LFjM3LkyHz1q1/Nyy+/nHvvvTcLFy7MxRdfnJNOOilHHHFE5syZkyeffDJPP/10kmTBggU566yzcuqpp2bEiBG54oorsmHDhjz44IPVPCwAAICqq2rsvfTSSxkyZEgOPfTQ7rWBAwdm7733zosvvpj169fn+OOP797W0tKSYcOGZdmyZdm0aVNWrFjRY3tDQ0NGjhyZZcuW9elxAAAA1Jr+1fzmxx57bP7rv/6rx9p//ud/ZuPGjTnkkENSV1eXoUOH9tg+ZMiQtLa25oUXXkhXV1f233//N9y+syZMmLDdbdOmTcvBBx+8088NAADQV6oae39o69atWbBgQb75zW/m5JNPTltbW+rr61NX1/PiY2NjY9ra2tLW1pbk91fz/nj724k9AACAEtRE7K1YsSIzZ87Mr371q5x//vmZNm1alixZko6OjnR1dfUIvo6OjjQ1NaWpqSlJ0t7e3uO5Ojs7u7ftjIcffni721auXNkdmQAAALWs6p/G+dOf/jSTJ09OY2Nj7rzzznzhC1/IXnvtlebm5lQqlaxdu7bH/mvXrk1LS0sGDx6cJFmzZk2P7WvWrElLS0ufzQ8AAFCLqhp7mzZtysyZM3PSSSfl1ltvzYgRI7q3jRgxIoMHD86SJUu611avXp1Vq1ZlwoQJec973pORI0f2uBK3adOmPPnkk2/6vjsAAIA9QVVv41y6dGna2try2c9+Ni+++GKPbfvss08mT56c+fPnp7m5OQ0NDbn66qszceLEHHjggUmSM888M1dccUWGDx+e/fbbL9dff30OOuigHHvssdU4HAAAgJpR1dhbtWpVtmzZkr/6q7/aZttFF12UqVOnpr29PdOnT8+WLVsyceLEzJ49u3ufU089NRs2bMi8efPy6quvZuzYsbnhhhu2+VAXAACAPU2/SqVSqfYQu4vXP6Bl4MCBPW45rbaJLyzcqcc9MOy8XTwJAADUrlJeN+9ol7gEBgAAUCCxBwAAUCCxBwAAUKCa+KPqAAAAO2Jn33e3J3JlDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoED9qz0A1TPxhYU7/dgHhp23CycBAAB2NVf2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACiT2AAAACtS/2gMAAAB7lokvLKz2CHsEV/YAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAKJPYAAAAK1L/aA7B7mvjCwp1+7APDztuFkwAAAG/ElT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIACiT0AAIAC9a/2AOx5Jr6wcKce98Cw83bxJAAA7Oxrs8Trs1rnyh4AAECBxB4AAECBxB4AAECBxB4AAECBfEALuw1vHgYAqC1v5/UZ7zxX9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAArUv9oDAAAAb8/EFxZWewRqkCt7AAAABRJ7AAAABRJ7AAAABRJ7AAAABRJ7AAAABaqZ2NuwYUMOO+ywbNiwoXuts7Mzl19+ecaOHZsxY8bk0ksvTVtbW/f2SqWS6667LuPHj8/o0aNz0UUXZf369dUYHwAAoKbUROz95je/ydy5c/Paa6/1WJ83b16WLl2a+fPn58Ybb8zKlStz2WWXdW9fsGBBFi9enDlz5mTRokXZvHlzpk6d2tfjAwAA1Jyq/529L33pS/nXf/3XbdY3btyYO+64I9/+9rczbty4JMkll1ySs88+O62trRk0aFAWLlyYiy++OCeddFKSZM6cOTnxxBPz9NNP58gjj+zT46BMb+dv1jww7LxdOAkAAPRO1a/sTZkyJXfddVeuuuqqHutPPPFEknSHXpKMGjUq/fv3z/Lly/Pcc89l/fr1Of7447u3t7S0ZNiwYVm2bFnfDA8AAFCjqn5lr6WlJS0tLdm4cWOP9VWrVqW5uTn19fXda/X19Rk0aFBaW1szYMCA1NXVZejQoT0eN2TIkLS2tu70PBMmTNjutmnTpuXggw/e6ecGAIA383buKoI/VvUre9vT1taWhoaGbdYbGxvT1taWtra21NfXp66u7g23AwAA7MmqfmVve5qamrJ58+Zt1js6OtLU1JSmpqZ0dHSkq6urR/C9vn1nPfzww9vdtnLlSiEJAADsFmr2yl5zc3PWrVuXzs7O7rWtW7dm3bp1GTp0aJqbm1OpVLJ27doej1u7dm1aWlr6elwAAICaUrNX9saOHZtKpZLHH388xx13XJLkscceS6VSyZgxY9LQ0JDBgwdnyZIlOf3005Mkq1evzqpVq970fXfsmapx/7tP8gQAoJpqNvaamppyyimn5Morr8ycOXPyu9/9LrNnz84ZZ5yRxsbGJMnkyZMzf/78NDc3p6GhIVdffXUmTpyYAw88sMrTAwAAVFfNxl6SzJo1K3Pnzs2UKVPSv3//TJo0KTNmzOjePmXKlLS3t2f69OnZsmVLJk6cmNmzZ1dvYAAAgBrRr1KpVKo9xO7i9Q9oGThwYEaMGFHtcbr5iN7yuI0TAPZMXtfVplp7bbajXVKzH9ACAADAzhN7AAAABRJ7AAAABRJ7AAAABRJ7AAAABarpP70A9I4/5A7AO21n/63x7wz0PbEHAAB/xC9QKYHbOAEAAAok9gAAAAok9gAAAAok9gAAAArkA1oAdpA36wMAuxNX9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAAok9gAAAArkj6pDDXo7f7wbAAASsQcAALuUX9pSK9zGCQAAUCCxBwAAUCC3cQJJ3t4tJw8MO28XTgIAwK4g9gAAqGl+IQk7x22cAAAABXJlD9jjVONT0vxWGgDoa2IPAHYjO/uLA780ANjzuI0TAACgQK7sAW+bKw1ACdxu/c7yh8ah77myBwAAUCCxBwAAUCC3cQKwS7mtFwBqg9gDoCZ4vxQA7Fpu4wQAACiQ2AMAACiQ2zgBAPYw/gwC7BnEHkChvJgDgD2b2zgBAAAK5MoeAADFcpcDezKxB1SNj9qHvuP/N4A9j9s4AQAACuTKHgD0MbeVAdAXXNkDAAAokNgDAAAokNs4AWAnuBUTgFon9gDY7QkvANiW2zgBAAAK5MoeAMDbVI2ry/7+IfBWxB5AjXOLItXmD7ID7J7cxgkAAFAgsQcAAFAgsQcAAFAgsQcAAFAgsQcAAFAgn8YJANQcnwAK8Pa5sgcAAFAgsQcAAFAgt3ECAO+Yt3M75u70PQFqkdgDANgNiVrgrbiNEwAAoEBiDwAAoEBiDwAAoEDeswfslrxXBQDgzbmyBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUCCxBwAAUKDdPvY6Oztz+eWXZ+zYsRkzZkwuvfTStLW1VXssAACAqtrtY2/evHlZunRp5s+fnxtvvDErV67MZZddVu2xAAAAqqp/tQd4OzZu3Jg77rgj3/72tzNu3LgkySWXXJKzzz47ra2t2Xfffas8IQAAQHXs1lf2nnjiiSTpDr0kGTVqVPr375/ly5dXaywAAICq262v7K1atSrNzc2pr6/vXquvr8+gQYPS2tq6U885YcKE7W678sor09TUlPb29qxcuXKnnv+dMLXz/1V7BAAAKNbKTbXz2j9J2tvbkyQdHR1vut9uHXttbW1paGjYZr2xsfEd+ZCW16Oyq6urpj4E5s8ysNojAABAsdq21M5r/z/U1dX1ptt369hramrK5s2bt1nv6OhIU1PTTj3nww8/vN1tK1asSGdnZ+rq6jJgwICdev5d7emnn06SHHnkkVWehN2Z84hdxbnEruA8YldxLrEr1OJ51NHRka6urh53OL6R3Tr2mpubs27dunR2dnYf6NatW7Nu3boMHTp0l3+/ww8/fJc/59v12c9+NsmbRyq8FecRu4pziV3BecSu4lxiV9idz6Pd+gNaxo4dm0qlkscff7x77bHHHkulUsmYMWOqOBkAAEB17dax19TUlFNOOSVXXnllHnvssTz00EO59NJLc8YZZ6SxsbHa4wEAAFTNbn0bZ5LMmjUrc+fOzZQpU9K/f/9MmjQpM2bMqPZYAAAAVbXbx97ee++dq666KldddVW1RwEAAKgZu/VtnAAAALyxfpVKpVLtIQAAANi1XNkDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNgDAAAokNircZ2dnbn88sszduzYjBkzJpdeemna2tq2u/+tt96aE088MUcddVTOPffcPP/88304LbWqN+fR1q1bc+211+aEE07IEUcckY9//OP58Y9/3McTU6t6+zPpdf/7v/+bUaNG5Sc/+UkfTEmt6+159MADD2TSpEk58sgj8+EPfzg//OEP+3BaallvzqVKpZKFCxfm5JNPztFHH51zzjknzz33XB9PTK3bsGFDDjvssGzYsGG7+1QqlVx33XUZP358Ro8enYsuuijr16/vwyl3nNircfPmzcvSpUszf/783HjjjVm5cmUuu+yyN9z37rvvzjXXXJNp06bl9ttvz5AhQ3LBBRdk8+bNfTw1taY359F3vvOd3HbbbZk5c2Z+8IMf5C/+4i/y+c9/PitWrOjjqalFvTmXXvfaa69l5syZfhbRrTfn0c9+9rNcfPHFmTRpUu6444584hOfyGWXXZZf/epXfTw1tag359K///u/51vf+lb+8R//MTfffHMaGxvz2c9+dod+YcWe4Te/+U3mzp2b11577U33W7BgQRYvXpw5c+Zk0aJF2bx5c6ZOndpHU/ZShZr129/+tnL44YdXHnzwwe61Rx99tDJixIjK+vXrt9n/tNNOq1xzzTXdX7e3t1dGjRpVufvuu/tkXmpTb8+j8ePHV773ve/1WPubv/mbyhe/+MV3fFZqW2/Ppdd973vfq3zmM5+pHHLIIX4e0evz6MILL6xMmzatx9oZZ5xRueWWW97pUalxvT2XPv3pT1euuuqq7q83bNhQGT58eOWhhx7qk3mpbbNmzaoccsgh3f+1tra+4X5dXV2V4447rnLrrbd2r7344ouVQw45pPLUU0/11bg7zJW9GvbEE08kScaNG9e9NmrUqPTv3z/Lly/vse+mTZuyYsWKHH/88d1rDQ0NGTlyZJYtW9Y3A1OTenMedXR05E/+5E8yatSoHuv77rtv1q1b984PS03rzbn0umeffTYLFizI3Llz+2RGal9vzqOtW7dm2bJl+cQnPtFjffHixTnzzDPf+WGpab39mbRx48Y0NjZ2fz1gwID069cvnZ2d7/yw1LwpU6bkrrvuylVXXfWm+z333HNZv359j9fcLS0tGTZsWE2+5hZ7NWzVqlVpbm5OfX1991p9fX0GDRqU1tbWHvu+8MIL6erqyv77799jfciQIdvsy56lN+fRgAED8tBDD2Xs2LHda7/+9a+zdOnSHHrooX02M7WpN+dS8vsX6jNnzszFF1+8zc8m9ly9OY9Wr16d9vb2vPLKK5k8eXLGjBmT0047LQ888EBfj00N6u3PpOOPPz533nlnfvGLX6SjoyPf+MY30tjYmDFjxvTl2NSolpaWHHrooTnggAPedL9Vq1alrq4uQ4cO7bFeq6+5xV4Na2trS0NDwzbrjY2N29xf/vrXf7z/G+3LnqU359Efu++++zJ58uQMGjQo559//js1IruJ3p5LN9xwQwYOHJhPf/rTfTEeu4nenEe//e1vkyTXXntt/vqv/zoLFizIcccdl7//+7/P448/3ifzUrt6+zPpc5/7XPbee++ccsopGTVqVBYtWpQLL7ww++yzT1+MSyHa2tpSX1+furqeGVWrr7n7V3sAtq+pqekNP9Cgo6MjTU1N2+ybJO3t7T3WOzs7t9mXPUtvzqPXbdiwIbNmzcp9992XE088MVdddVXe/e53v9OjUuN6cy4988wzufnmm3PnnXemX79+fTUiu4HenEddXV1Jkr/927/NaaedliQZOXJkli9fnrvuuivHHHPMOz8wNau3/75NnTo19fX1+d73vpf3ve99efDBB3Pttdfmz//8z3PiiSf2xcgUoKmpKR0dHenq6uoRfG/2uqqaxF4Na25uzrp169LZ2dl9i8LWrVuzbt26bS4dDx48OEmyZs2aDBs2rHt9zZo1Oeyww/puaGpOb86j5Pe3TX3mM59JV1dXvvWtb+Xkk0/u65GpUb05l5YvX55Nmzbl4x//eI/1L3zhC1mwYEHuuOOOPpub2tKb82jfffdNkhx88ME91t///vd7HzG9Opd+8Ytf5NFHH82tt97a/UuCI444Ij//+c/zwx/+UOyxw5qbm1OpVLJ27dq0tLR0r69duzYf/ehHqzjZG3MbZw0bO3ZsKpVKj1tVHnvssVQqlW3uL3/Pe96TkSNH5uGHH+5e27RpU5588slMmDChz2am9vTmPEqSL33pS9l7771z1113CT166M259Jd/+Zf50Y9+lLvuuqv7vySZPn16rr322r4cmxrTm/No//33z7777ptnnnmmx/ovf/nLbQKQPU9vzqXtfZR+fX19BgwY8I7OSVlGjBiRwYMHZ8mSJd1rq1evzqpVq2ryNbcrezWsqakpp5xySq688srMmTMnv/vd7zJ79uycccYZaWxsTGtrazZv3tz926szzzwzV1xxRYYPH5799tsv119/fQ466KAce+yxVT4Sqqk359GGDRvyyCOP5Morr8yrr76aV199tft5GhoaMmTIkCoeCdXWm3Npn332ecP3wTQ3N/e4+4A9T2/Oo7q6ulxwwQX59re/ncGDB+ewww7LT37yk/zyl7/M9ddfX+1Docp6cy6NGDEihxxySK644or80z/9U4YMGZJHHnkk999/f77//e9X+1CocS+99FKS338IS11dXSZPnpz58+enubk5DQ0NufrqqzNx4sQceOCBVZ50W/0qlUql2kOwfe3t7Zk7d27uvvvu9O/fP5MmTcqMGTOy1157ZebMmXn00Ud7fCrZv/zLv2ThwoV59dVXM3bs2MyZM8cLdHb4PHrqqady+umnv+FzfPCDH8yiRYv6eHJqTW9/Jv2h4cOH57rrrqvJ21zoW709j2666abcdNNNWb9+fUaMGJEZM2b4BEWS9O5cWr9+fa6//vo8+OCD2bhxYw4++OBMnTo1H/7wh6t8FNSS5cuX5+yzz84jjzySQYMGJUk+85nPJEn366DXXnst1157be64445s2bIlEydOzOzZs/Oud72ranNvj9gDAAAokPfsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAQAAFEjsAUAfWL58eYYPH56lS5dWexQA9hBiDwAAoEBiDwAAoEBiDwDewvnnn58xY8Zky5YtPdYvueSSHHPMMeno6Mi9996b008/PaNHj87YsWNz3nnn5fHHH9/uc86cOTMnnHBCj7UXXnghw4cPzx133NG91t7eni9/+cs54YQTMnLkyHzqU5/KAw88sGsPEIAiiT0AeAuTJk3Kxo0b8+ijj3avbdmyJffff38++tGP5plnnsnFF1+cAw44IPPmzcvMmTPz8ssv54ILLsgrr7yy09/3tddey4UXXpgf/vCHOf/88/O1r30tBxxwQD73uc/lxz/+8S44MgBK1r/aAwBArTv55JMze/bs3HvvvRk/fnyS5JFHHslvf/vbfPKTn8yzzz6bo48+Ol/72tfSr1+/JMmf/umf5txzz80vfvGLjB07dqe+7913353ly5fn9ttvz+jRo5MkH/nIR/Lyyy9n/vz5+fjHP75rDhCAIrmyBwBv4V3velcmTpyY++67L5VKJUlyzz33ZOjQoTnmmGPyqU99Krfeems2bdqUn//857nnnnuyePHiJL+/OrezHnrooQwZMiSHHHJI2trauv874YQT8utf/zqtra275PgAKJMrewCwA0455ZT8+Mc/zs9+9rMceeSRue+++zJ58uT069cvq1evzqxZs7J8+fIMGjQoBx54YPbbb79ef4/XQ/J169evz0svvZSjjz76Dfd/+eWXs+++++7U8QBQPrEHADtgwoQJee9735t77703bW1teeWVV/LJT34ySTJjxoy0trbmnnvuyQEHHJAkWbp0aX70ox9t9/lev93zD/3x+/ve/e53d78P8I20tLTs5NEAsCcQewCwA/baa6987GMfy3333ZdXX301I0eOzJ/92Z8lSZ555pmcdtpp3aGX5C3/eHpjY2Pa2tpSqVS6w++xxx7rsc8HP/jBPPjggznggAPS3NzcvX7jjTfmkUceyYIFC3bV4QFQILEHADto0qRJue2227J27drMmDGje/3II4/Mf/zHf+T9739/9tlnn/z0pz/Nf//3fyf5/Qe5jBgxYpvn+sAHPpBbbrkl3/3ud3Paaaflf/7nf3LzzTf32Oe0007LbbfdlvPPPz/nnHNO3vWud2XJkiX5wQ9+kEsuuSR1dd56D8D2+VcCAHbQ0Ucfnf333z9dXV352Mc+1r0+b968HHnkkfnKV76Sq6++OoMGDcqdd96Z8ePH5+abb87q1au3ea6PfexjmTJlSm655ZZ85CMfyY033pgvf/nLPfbZe++9c8stt+SII47IV7/61cyYMSNPPfVUrrrqqpxzzjnv+PECsHvrV/njd4MDAACw23NlDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoEBiDwAAoED/H6LIJtrkZWN1AAAAAElFTkSuQmCC", "text/plain": [ "
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"2024-05-08T19:29:45.899453", "environment_variables": {}, "exception": null, "input_path": "Blackbody.ipynb", @@ -537,7 +537,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:06.285582", + "start_time": "2024-05-08T19:29:41.480083", "version": "2.6.0" } }, diff --git a/notebooks/Broken_powerlaw.ipynb b/notebooks/Broken_powerlaw.ipynb index 3ef3a8a9..7c0557a7 100644 --- a/notebooks/Broken_powerlaw.ipynb +++ b/notebooks/Broken_powerlaw.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "c67f8920", + "id": "2e576e89", "metadata": { "papermill": { - "duration": 0.008702, - "end_time": "2024-05-08T19:21:41.152165", + "duration": 0.002114, + "end_time": "2024-05-08T19:31:37.168328", "exception": false, - "start_time": "2024-05-08T19:21:41.143463", + "start_time": "2024-05-08T19:31:37.166214", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f633ae5e", + "id": "39feb4f6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:41.165083Z", - "iopub.status.busy": "2024-05-08T19:21:41.164468Z", - "iopub.status.idle": "2024-05-08T19:21:42.879820Z", - "shell.execute_reply": "2024-05-08T19:21:42.878954Z" + "iopub.execute_input": "2024-05-08T19:31:37.172570Z", + "iopub.status.busy": "2024-05-08T19:31:37.172346Z", + "iopub.status.idle": "2024-05-08T19:31:39.166484Z", + "shell.execute_reply": "2024-05-08T19:31:39.165621Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.723572, - "end_time": "2024-05-08T19:21:42.882108", + "duration": 1.999232, + "end_time": "2024-05-08T19:31:39.169243", "exception": false, - "start_time": "2024-05-08T19:21:41.158536", + "start_time": "2024-05-08T19:31:37.170011", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "2242aab1", + "id": "67b4af52", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:42.886353Z", - "iopub.status.busy": 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ASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASJQgBAAASFSPCcKWlpY477zzoqWlJb+ts7Mzbrvttqivr4+6urq4+eabI5fL5edZlsU999wTY8eOjVGjRsUNN9wQTU1NBftdvnx5jB8/PkaOHBmTJ0+Obdu2HbNzAgAA6Ml6RBC+8sorceedd8aBAwcKti9YsCDWr18fCxcujPvvvz+2bt0at9xyS36+ePHiWLFiRcybNy+WLl0a7e3tMW3atPx8zZo1cdddd8X06dNj5cqVUVVVFVOmTIn29vZjdm4AAAA9VdGD8H/+z/8Z48aNix//+McF21999dV46KGH4qtf/WqMGTMmRo0aFbNnz45HHnkkmpubI8uyWLJkSdx4441x8cUXx7Bhw2LevHmxcePG2LRpU0S8FozXXHNNTJw4MWpqamLu3LnR0tISa9euLcKZAgAA9CxFD8KpU6fGqlWr4o477ijY/swzz0RExJgxY/LbRowYEb17944NGzbEiy++GE1NTTFu3Lj8vLq6OgYOHBiNjY3R2toamzdvLpiXlZVFbW1tNDY2vsNnBQAA0PP1LvYBVFdXR3V1dbz66qsF27dv3x6VlZVRWlqa31ZaWhr9+vWL5ubmOPnkk6OkpCQGDBhQ8Lyqqqpobm6OnTt3Rnd3dwwaNOgN5wAAAKkrehAeSi6Xi7KysoO2l5eXRy6Xi1wuF6WlpVFSUnLIeUQctI/y8vK3FYQNDQ2HnE2fPj3OOeecI943AADAsVT0W0YPpaKi4g0//KWjoyMqKiqioqIiOjo6oru7+5DziIi2traCeWdnZ34GAACQsh57hbCysjL27NkTnZ2d+dtG9+/fH3v27IkBAwZE//79I8uy2L17d1RXV+eft3v37rjkkkuif//+ERGxa9euGDhwYH6+a9euOO+88474uJ588slDzrZu3VrwazEAAAB6sh57hbC+vj6yLIunn346v+2pp56KLMuirq4uampqon///rFu3br8fMeOHbF9+/ZoaGiIvn37Rm1tbUHAtba2xsaNG9/0tk8AAIBU9NgrhBUVFXHFFVfE7bffHvPmzYs//OEPMWfOnPjMZz4T5eXlERExadKkWLhwYVRWVkZZWVnMnz8/JkyYEGeddVZERFx99dUxd+7cGDJkSJxxxhlx7733xtlnnx0XXXRRMU8NAACgR+ixQRgRceutt8add94ZU6dOjd69e8fll18eM2fOzM+nTp0abW1tMWPGjOjq6ooJEybEnDlz8vOJEydGS0tLLFiwIPbt2xf19fVx3333HfRBNAAAACnqlWVZVuyDOFG8/h7CPn36RE1NTbEPBwCAd9CEnUuO6HlPDPz8UT4SKPSndIlLZQAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAIkShAAAAInqXewDAACAYpmwc0mxDwGKyhVCAACARJ3wQdjZ2Rm33XZb1NfXR11dXdx8882Ry+WKfVgAAABFd8IH4YIFC2L9+vWxcOHCuP/++2Pr1q1xyy23FPuwAAAAiu6Efg/hq6++Gg899FD8zd/8TYwZMyYiImbPnh2f+9znorm5Od797ncX+QgBAACK54S+QvjMM89ERORjMCJixIgR0bt379iwYUOxDgsAAKBHOKGvEG7fvj0qKyujtLQ0v620tDT69esXzc3NR7TPhoaGQ85uv/32qKioiLa2tti6desR7R8AgGNnWud7jvn3/EHLz474ucNKK4/ikXCiamtri4iIjo6Owz72hA7CXC4XZWVlB20vLy9/Rz5Y5vXw7O7u9sE1AADHgT+PPsU+hD9JrsvfMXnruru7D/uYEzoIKyoqor29/aDtHR0dUVFRcUT7fPLJJw8527x5c3R2dkZJSUmcfPLJR7R/3nmbNm2KiIjhw4cX+Uh4M9bp+GGtjh/W6vhhrY4f1ur4kdJadXR0RHd3d8GdkodyQgdhZWVl7NmzJzo7O/N/GPv37489e/bEgAEDjvr3Gzp06FHfJ0ff9ddfHxFvHvcUn3U6flir44e1On5Yq+OHtTp+WKs3dkJ/qEx9fX1kWRZPP/10fttTTz0VWZZFXV1dEY8MAACg+E7oIKyoqIgrrrgibr/99njqqafipz/9adx8883xmc98JsrLy4t9eAAAAEV1Qt8yGhFx6623xp133hlTp06N3r17x+WXXx4zZ84s9mEBAAAU3QkfhKecckrccccdcccddxT7UAAAAHqUE/qWUQAAAA6tV5ZlWbEPAgAAgGPPFUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUKSsXXr1pg0aVKMGDEiPvzhD8cPf/jDgvlLL70U119/fYwaNSo+8IEPxHe+852C+e9///v47//9v8f5558f733ve+Ouu+6Krq6uY3kKJ5yOjo649NJLY968eQXbGxsbY+LEiVFbWxuXX355rF27tmD+dteSt+aBBx6I8ePHx4gRI+KKK66I1atXF8y9pnqOf/iHf4iPfexjMWzYsBg3blwsXLgwuru783Nr1fPccccdB/3si/Dz73jS2dkZt912W9TX10ddXV3cfPPNkcvlin1YSWlpaYnzzjsvWlpa8tsOty5ZlsU999wTY8eOjVGjRsUNN9wQTU1NBftdvnx5jB8/PkaOHBmTJ0+Obdu2HbNzKooMThBjx47Nhg0bVvD193//91mWZdm+ffuy9773vdmsWbOyLVu2ZA8//HA2bNiwbO3atVmWZdmBAweyyy67LPvCF76Q/fKXv8wee+yx7MILL8yWL1+e3/8XvvCF7FOf+lT2zDPPZOvXr88mTJiQ3XXXXUU51xPF1772tWzw4MHZ3Llz89t27NiRjRw5MvvGN76RPf/889mSJUuyoUOHZlu2bMmy7OisJYe3evXqbOjQodmKFSuyrVu3ZgsXLsyGDBmS/eIXv8iyzGuqJ1m/fn02ZMiQ7Nvf/na2devW7OGHH85GjRqVLVmyJMsya9XT7N+/P/vpT3+ajRo1quBnX5b5+Xe8mTNnTvbBD34wW79+ffbMM89kn/jEJ7Lp06cX+7CS8fLLL2df/vKXs8GDB2fNzc357Ydbl+985ztZfX199thjj2WbNm3KpkyZkv3VX/1Vfr569eqstrY2e/jhh7MtW7ZkM2bMyMaPH5+1tbUdy9M7pgQhJ4SmpqaspqYm27JlS/biiy/mv1599dUsy7Js2bJl2bhx47LOzs78c2bNmpV98YtfzLIsy9auXZsNHz4827t3b36+aNGi7GMf+1iWZVn261//Ohs8eHD261//Oj9/+OGHs7q6uoJ98tb94he/yMaOHZt97GMfK/hL0de//vXsU5/6VMFj/9N/+k/5x7zdteSt+cIXvpDNmDGjYNvHP/7x7O67786yzGuqJ/nyl7+cTZkypWDbt771rezDH/5wlmXWqifZuXNnNmzYsGzw4MEH/WNYlvn5dzz5/e9/nw0dOjQf41mWZT//+c+zmpqarKmpqYhHloZbb701/zr64yA83Lp0d3dn733vewv+keSll17KBg8enD333HNZlmXZlVdeWfAPXm1tbdmIESOyNWvWHKOzO/bcMsoJYdu2bTFo0KCoqamJ97znPfmv0047LSIiNmzYEGPGjImTTjop/5z6+vpobGyMiNdu0amtrY2+ffsWzH/9619Hc3NzbNiwIaqrq+Mv/uIv8vMLL7wwfv/738eWLVuOzUmeQNra2mL27Nlxyy23xOmnn14w27BhQ4wbN65g24UXXphfq7e7lrw1p556atTX1xds6927d7S3t0eE11RPksvloq6urmBbv3794pVXXokIa9WT9O/fP77//e/HqlWrYujQoQfN/fw7fjzzzDMRETFmzJj8thEjRkTv3r1jw4YNxTqsZEydOjVWrVoVd9xxR8H2w63Liy++GE1NTQWvs+rq6hg4cGA0NjZGa2trbN68uWBeVlYWtbW1+dfZiUgQckLYtm1blJSUxDXXXBP19fXxiU98In70ox/l5zt27IhBgwYVPKeqqira29ujtbX1kPOIiKampti+fXsMHDiwYF5ZWZmf86f55je/GUOGDImPfvSjB80OtRav/2Xm7a4lb823vvWt+OQnPxkREd3d3bF69erYunVrXHzxxRHhNdWT3HffffGlL30p/9/t7e3x8MMPx3nnnRcR1qonKS0tjXPPPTfOPffc6NOnz0FzP/+OH9u3b4/KysooLS3NbystLY1+/fqJ72Oguro6zj333DjzzDMLth9uXbZv3x4lJSUxYMCAgue9/jrbuXNndHd3v+nr8ETUu9gHAEfDv/7rv0ZLS0tMmzYt3vOe98TPfvazmDlzZnR3d8fEiRMjl8vFySefXPCc8vLyiHjtX9dzuVz82Z/92ZvOy8rKCua9e/eOk08+2RvI/0QbNmyI1atXx49//OM3nL/RWvXp0yf/5/x215I/zeOPPx7/9b/+1zhw4EC8//3vj/PPPz8i3v46eE29M1544YWYNWtWbNu2Lf73//7fEWGtjid+/h0/3uh1EfHan7c/6+I53LrkcrkoLS2NkpKSQ84j4qB9lJeXC0Iotn379uVvf3ojX/jCF2Lq1Knxrne9KyIihg4dGrt27YoHH3wwJk6cGKeddlr+VrfXdXR0RETEu971rrc0/7d/+7eCeZZl0dXVFRUVFW/7/E4kb7ZW3d3dMXv27PjqV78a/fr1e8PHHGotXv9zfrtryWsO95o655xzolevXnHRRRfF3//938eWLVvi61//ev6TEb2mjp23slYHDhyIRYsWxeLFi+PMM8+MZcuWxfDhwyPi7b9mrNVb91ZfV4fi59/xo6Ki4qA/64jC9eLYO9y6VFRUREdHR3R3dxdE4R/PI157a8sf6+zsPKHXVRByXHj00Udj9uzZh5w/88wzB91+M2TIkHjiiSci4rXbm377298WzHft2hX9+vWLsrKyqKysjBdeeOGg+X/4D/8hqqqqoqqqKv7pn/6pYP7yyy9Hd3f3QbcdpO5waxURMXPmzJg5c2ZERHR1dcUvfvGLeOihh2L9+vWHXKvq6uqIePtryWsOt0533XVXjBs3Lvr165e/xa2pqSkefPDBmDdvntfUMXS4tfrFL34R06ZNi2effTZuvPHGmDx5csHtUtbq2DmS/1f9MT//jh+VlZWxZ8+e6OzszL/e9u/fH3v27PG6KKLDrUv//v0jy7LYvXt3/nUVEbF79+645JJLon///hHx2uvmj2+V37VrV/42/BOR9xByXPjkJz8Zzz///CG/rrrqqvztUa/btGlT/OVf/mVERIwbNy4aGxvjwIED+fm6deti7Nix+flzzz0X+/btK5iPGDEiTj311Bg3blzs3Lmz4F/Jn3zyyaiqqir4oAXefK02bdoUq1evjlWrVuW/hg0bFpdeemmsWrUq+vTpE+PGjYt169YV7PPfr9XbWUte82brtHnz5rjlllsOioDOzs5497vfHRFeU8fS4X7+LV26NJ577rlYunRpfPGLXyyIwQhrdSwdbq3eLAYjws+/40h9fX1kWRZPP/10fttTTz0VWZYd9CFPHDuHW5eampro379/wetsx44dsX379mhoaIi+fftGbW1tPPnkk/l5a2trbNy4MRoaGo7puRxTxfuAUzh6FixYkNXV1WUPP/xw9qtf/Sr7X//rf2XnnXdetm7duizLsmzv3r1ZfX19duutt2a/+tWvsvvuuy8777zz8h8x3NXVlX3kIx/Jpk2blm3evDlbuXJlNmzYsOyf/umf8t/jc5/7XHbVVVdlGzduzH7yk59kF1xwQf73fHHkrrnmmoKPXt+2bVs2fPjwbNGiRdnmzZuzO++8Mxs5cmT229/+Nsuyo7OWHN6sWbOysWPHZqtXr862bt2aff/7389GjhyZLVu2LMsyr6me5LLLLsu++tWvZv/v//2/g76yzFr1VP/+Z1+W+fl3vJk9e3Z2ySWXZD//+c+ztWvXZh/4wAey22+/vdiHlZTGxsaDfg/h4dblr//6r7P3vve92dq1a7PGxsbsiiuuyKZOnZqfP/zww9nIkSOzn/zkJ9kzzzyTTZ48OZs4cWJ24MCBY3pux5Ig5ITQ2dmZfetb38re//73Z0OHDs0uu+yy7B/+4R8KHrNp06bsU5/6VDZs2LDskksuyR599NGC+fbt27Nrr702Gz58eDZ+/Pjs//yf/1Mwb25uzm644YZsxIgR2dixY7O/+Zu/ecfPKwVv9Jein/3sZ9lll12WDR8+PPvEJz6RPfXUUwXzt7uWHF4ul8tuv/327AMf+EA2YsSI7LLLLstWrlyZdXd35x/jNdUzjBgxouD3cf3x1+usVc/zRj/7sszPv+PJH/7wh+yWW27JRo8enV144YXZ7bff7ndzHmNvFISHW5f9+/dnd999d3bhhRdmo0aNyv7H//gf2b59+wr2u3jx4qyhoSEbMWJE9sUvfjHbvXv3MTunYuiVZVlW7KuUAAAAHHveQwgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAAJAoQQgAPcCGDRtiyJAhsX79+mIfCgAJEYQAAACJEoQAAACJEoQA8DZdd911UVdXF11dXQXbZ8+eHRdccEF0dHTEo48+Gn/1V38Vo0aNivr6+vj85z8fTz/99CH3OWvWrHjf+95XsG3nzp0xZMiQeOihh/Lb2tra4mtf+1q8733vi9ra2vj0pz8dTzzxxNE9QQBOWIIQAN6myy+/PF599dX4+c9/nt/W1dUVjz/+eFxyySWxZcuWuPHGG+PMM8+MBQsWxKxZs2Lv3r0xZcqU+N3vfnfE3/fAgQPxpS99KR5++OG47rrr4hvf+EaceeaZ8Z//83+O1atXH4UzA+BE17vYBwAAx7sPfehDMWfOnHj00Udj7NixERHxL//yL/H73/8+Pv7xj8cLL7wQo0ePjm984xvRq1eviIj4j//xP8bkyZPj+eefj/r6+iP6vmvWrIkNGzbEypUrY9SoURER8eEPfzj27t0bCxcujEsvvfTonCAAJyxXCAHgbTr11FNjwoQJ8dhjj0WWZRER8cgjj8SAAQPiggsuiE9/+tOxfPnyaG1tjV/+8pfxyCOPxIoVKyLitat8R+qnP/1pVFVVxeDBgyOXy+W/3ve+98W//du/RXNz81E5PwBOXK4QAsBRcMUVV8Tq1avj2WefjeHDh8djjz0WkyZNil69esWOHTvi1ltvjQ0bNkS/fv3irLPOijPOOONP/h6vx+brmpqa4uWXX47Ro0e/4eP37t0b7373u4/ofABIgyAEgKOgoaEhTj/99Hj00Ucjl8vF7373u/j4xz8eEREzZ86M5ubmeOSRR+LMM8+MiIj169fHj3/840Pu7/VbS//Yv3+/4WmnnZZ/X+Ibqa6uPsKzASAVghAAjoKTTjopPvrRj8Zjjz0W+/bti9ra2vjzP//ziIjYsmVLXHnllfkYjIjD/gL68vLyyOVykWVZPg6feuqpgsdceOGFsXbt2jjzzDOjsrIyv/3++++Pf/mXf4nFixcfrdMD4AQlCAHgKLn88svje9/7XuzevTtmzpyZ3z58+PD40Y9+FH/xF38R73rXu+Kf//mf4//+3/8bEa99+ExNTc1B+zr//PNj2bJl8e1vfzuuvPLK+NWvfhUPPvhgwWOuvPLK+N73vhfXXXddXHvttXHqqafGunXr4gc/+EHMnj07Skp8VAAAb87/KQDgKBk9enQMGjQouru746Mf/Wh++4IFC2L48OHx9a9/PebPnx/9+vWLH/7whzF27Nh48MEHY8eOHQft66Mf/WhMnTo1li1bFh/+8Ifj/vvvj6997WsFjznllFNi2bJlMWzYsLj77rtj5syZ8dxzz8Udd9wR11577Tt+vgAc/3pl//4d6gAAACTBFUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBECUIAAIBE/X+DhF6L0PPWSAAAAABJRU5ErkJggg==", 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AAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQghAAAKBQ3R6Eq1evzqRJk3LUUUdl7NixmT59elpaWpIkVVXlxhtvzJgxYzJq1KhMnTo169ev77L/HXfckRNPPDFHHXVUJk6cmJUrV3YZX7hwYT760Y9m5MiROeOMM/LYY4/tqVMDAADo0bo1CKuqypQpU9Le3p7bbrstN9xwQx5//PFMnz49STJv3rzceeedmTlzZhYsWJDNmzdnypQpnfsvXLgw119/faZNm5a77rordXV1mTRpUjZv3pwkeeyxx3LxxRfnrLPOyt13351jjz02F154YV544YVuOV8AAICepFuD8IknnsjTTz+dWbNm5aijjsro0aPzpS99KQ899FA2b96c+fPn56KLLspJJ52U4cOHZ+bMmVm2bFmeeOKJJK8F4znnnJMJEyakoaEhM2bMyIYNG7Jo0aIkyfz58/PhD3845513Xg477LB86UtfysCBA/MP//AP3XjWAAAAPUO3BmFbW1uOOeaYDBs2rHPbPvvsk46Ojixfvjzr16/PuHHjOsfq6+tz4IEHZsmSJWltbc3y5cu7jPfr1y+NjY1ZsmRJkmTp0qVdxnv16pWmpqbOcQAAgJL17s6/fPTo0Rk9enTnnzds2JBvfvObaWpqyq9//evU1NRk6NChXfapq6tLS0tL1qxZk46Oji4x+dvjra2t2bhx45uOP/XUUzs957Fjx253bNq0aTn00EN3+tgAAAB7UrcG4W/71Kc+lZ/97GfZZ5998rd/+7d58cUX06dPn9TUdL2J2b9//7S1taWtrS3Ja3cFf3e8paXlLcdfHwMAAChZjwnCOXPmZO3atbnzzjszefLkTJ8+PVu2bElHR0eXKNyyZUtqa2tTW1ubJNm0aVOX47S3t6e2tjb777//W47vrAcffHC7YytWrBCbAADAXqNbP0P45JNP5pFHHkmSDBs2LMcdd1y+9rWvpaamJq2tramqKuvWreuyz7p161JfX5/BgwcnSdauXdtlfO3atamvr0///v2z3377bXccAACgdN0ahD/60Y/y53/+56mqqnPbq6++mo6OjhxyyCEZPHhwFi9e3Dm2evXqrFq1KmPHjs3AgQPT2NjY5Y5da2trli1b1vk5v3HjxnUZ37ZtW5YsWfKWnwMEAAAoRbe+ZfS0007LzTffnCuvvDKf/exns3Xr1txyyy35gz/4g4wdOzZnnnlm5syZkyFDhqRfv36ZNWtWxo8fn4MPPjhJcvbZZ2fGjBk5/PDDc8ABB+Smm27KIYcckuOPP75zfOLEiTn66KMzYsSI3Hbbbdm6dWtOPfXU7jxtAACAHqFbg/Dggw/OvHnz8vWvfz0TJ05M//79c+yxx+a2227LgAEDMnny5GzatCnTp0/P1q1bM378+Fx99dWd+0+YMCEbNmzI7Nmz88orr6S5uTk333xz52cOm5qaMmvWrMydOzcvvPBCGhsbc+utt2bAgAHddMYAAAA9R6/qt9+vyS55/UtlBgwYkIaGhu6eDgAA7JXGr5m/0/vef+D5u3Eme6ffp0u69TOEAAAAdB9BCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUChBCAAAUKjeb/eB55577ts+aK9evfKtb31rpyYEAADAnvG2g3Dr1q3p1avXWz5m3bp1ee6553b4OAAAALrf2w7CO++8c7tj27Zty7x58/K//tf/ynvf+95ceumlu2VyAAAAvHPedhBuz+OPP54rr7wyTz/9dE477bRcdtllee9737s75gYAAMA7aKeDsLW1Nd/4xjdy1113pb6+Pt/85jczZsyY3Tk3AAAA3kE7FYT33ntvrrvuurS0tOS8887LtGnT0q9fv909NwAAAN5Bv1cQrl27NjNmzMiiRYtyxBFH5G/+5m9y5JFHvlNzAwAA4B30toNw/vz5mTt3bqqqyvTp0zNx4sTU1Pg1hgAAAHurtx2EX/3qV9OrV6/U19fnRz/6UX70ox9t97G9evXK7bffvlsmCAAAwDvjbQdhU1PTOzkPAAAA9rC3HYQLFix4J+cBAADAHuZDgAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIUShAAAAIXq9iBsaWnJF7/4xTQ1NaWxsTHnnHNOnnzyySRJVVW58cYbM2bMmIwaNSpTp07N+vXru+x/xx135MQTT8xRRx2ViRMnZuXKlV3GFy5cmI9+9KMZOXJkzjjjjDz22GN76tQAAAB6tG4PwmnTpuUXv/hF/uqv/iq33357amtr8/nPfz6bNm3KvHnzcuedd2bmzJlZsGBBNm/enClTpnTuu3Dhwlx//fWZNm1a7rrrrtTV1WXSpEnZvHlzkuSxxx7LxRdfnLPOOit33313jj322Fx44YV54YUXuut0AQAAeoxuDcKVK1fm4YcfzsyZM9Pc3JzGxsbccMMN2bhxY+67777Mnz8/F110UU466aQMHz48M2fOzLJly/LEE08kSebNm5dzzjknEyZMSENDQ2bMmJENGzZk0aJFSZL58+fnwx/+cM4777wcdthh+dKXvpSBAwfmH/7hH7rxrAEAAHqGbg3C559/PnV1dfnABz7QuW3AgAHZd99986tf/Srr16/PuHHjOsfq6+tz4IEHZsmSJWltbc3y5cu7jPfr1y+NjY1ZsmRJkmTp0qVdxnv16pWmpqbOcQAAgJL17s6//Pjjj88DDzzQZds//dM/5eWXX85hhx2WmpqaDB06tMt4XV1dWlpasmbNmnR0dGTYsGFvOt7a2pqNGze+6fhTTz2103MeO3bsdsemTZuWQw89dKePDQAAsCd1axD+tldffTXz5s3L3Llzc/LJJ6etrS19+vRJTU3Xm5j9+/dPW1tb2trakrx2V/B3x1taWt5y/PUxAACAkvWIIFy+fHkuvfTS/OIXv8gFF1yQadOmZfHixdmyZUs6Ojq6ROGWLVtSW1ub2traJMmmTZu6HKu9vT21tbXZf//933J8Zz344IPbHVuxYoXYBAAA9hrd/i2j//Zv/5Yzzzwz/fv3z/e+97186Utfyj777JMhQ4akqqqsW7euy+PXrVuX+vr6DB48OEmydu3aLuNr165NfX19+vfvn/3222+74wAAAKXr1iBsbW3NpZdempNOOil33HFHGhoaOscaGhoyePDgLF68uHPb6tWrs2rVqowdOzYDBw5MY2Njlzt2ra2tWbZsWefn/MaNG9dlfNu2bVmyZMlbfg4QAACgFN36ltGHHnoobW1tufDCC/OrX/2qy9h73vOenHnmmZkzZ06GDBmSfv36ZdasWRk/fnwOPvjgJMnZZ5+dGTNm5PDDD88BBxyQm266KYccckiOP/74zvGJEyfm6KOPzogRI3Lbbbdl69atOfXUU/f4uQIAAPQ03RqEq1atytatW/PJT37yDWNTp07NlClTsmnTpkyfPj1bt27N+PHjc/XVV3c+ZsKECdmwYUNmz56dV155Jc3Nzbn55ps7P3PY1NSUWbNmZe7cuXnhhRfS2NiYW2+9NQMGDNhTpwgAANBj9aqqquruSbxbvP6lMgMGDOjy9lcAAODtG79m/k7ve/+B5+/Gmeydfp8u6fYvlQEAAKB7CEIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBCCUIAAIBC9Zgg3LBhQ4444ohs2LChc1t7e3uuuuqqNDc3p6mpKZdffnna2to6x6uqyo033pgxY8Zk1KhRmTp1atavX9/luHfccUdOPPHEHHXUUZk4cWJWrly5x84JAACgJ+sRQfjCCy/kuuuuy7Zt27psnz17dh566KHMmTMnt9xyS1asWJErrriic3zevHm58847M3PmzCxYsCCbN2/OlClTOscXLlyY66+/PtOmTctdd92Vurq6TJo0KZs3b95j5wYAANBTdXsQ/uVf/mXGjRuXf/zHf+yy/eWXX87dd9+dL3/5yxk9enRGjRqVyy67LPfee29aWlpSVVXmz5+fiy66KCeddFKGDx+emTNnZtmyZXniiSeSvBaM55xzTiZMmJCGhobMmDEjGzZsyKJFi7rhTAEAAHqWbg/CyZMn55577sm1117bZfujjz6aJBk9enTntpEjR6Z3795ZunRpnn322axfvz7jxo3rHK+vr8+BBx6YJUuWpLW1NcuXL+8y3q9fvzQ2NmbJkiXv8FkBAAD0fL27ewL19fWpr6/Pyy+/3GX7qlWrMmTIkPTp06dzW58+fTJo0KC0tLSkb9++qampydChQ7vsV1dXl5aWlqxZsyYdHR0ZNmzYm47vrLFjx253bNq0aTn00EN3+tgAAAB7UrffIdyetra29OvX7w3b+/fvn7a2trS1taVPnz6pqanZ7niSNxzj9XEAAIDSdfsdwu2pra190y9/2bJlS2pra1NbW5stW7ako6OjSxT+9niSbNq0qcv+7e3tnWM748EHH9zu2IoVK8QmAACw1+ixdwiHDBmSF198Me3t7Z3bXn311bz44osZOnRohgwZkqqqsm7dui77rVu3LvX19Rk8eHCSZO3atV3G165dm/r6+nf+BAAAAHq4HhuEzc3NqaoqjzzySOe2hx9+OFVVpampKQ0NDRk8eHAWL17cOb569eqsWrUqY8eOzcCBA9PY2Njljl5ra2uWLVv2lp8DBAAAKEWPfsvo6aefnmuuuSYzZ87Mb37zm1x99dX53Oc+l/79+ydJzjzzzMyZMydDhgxJv379MmvWrIwfPz4HH3xwkuTss8/OjBkzcvjhh+eAAw7ITTfdlEMOOSTHH398d54aAABAj9BjgzBJrrzyylx33XWZPHlyevfundNOOy2XXHJJ5/jkyZOzadOmTJ8+PVu3bs348eNz9dVXd45PmDAhGzZsyOzZs/PKK6+kubk5N9988xu+iAYAAKBEvaqqqrp7Eu8Wr3+pzIABA9LQ0NDd0wEAgL3S+DXzd3rf+w88fzfOZO/0+3SJW2UAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFEoQAAACFetcHYXt7e6666qo0Nzenqakpl19+edra2rp7WgAAAN3uXR+Es2fPzkMPPZQ5c+bklltuyYoVK3LFFVd097QAAAC6Xe/unsA76eWXX87dd9+dv/7rv87o0aOTJJdddlnOPffctLS05H3ve183zxAAAKD7vKvvED766KNJ0hmDSTJy5Mj07t07S5cu7a5pAQAA9Ajv6juEq1atypAhQ9KnT5/ObX369MmgQYPS0tKyU8ccO3bsdseuueaa1NbWZtOmTVmxYsVOHR8AAEo3pf39O73vdzc8sNP7Du8zZKf37Uk2bdqUJNmyZcsOH/uuDsK2trb069fvDdv79+//jnyxzOvh2dHR4YtrAABgJ/1hBnTL39u29d31/+E7Ojp2+Jh3dRDW1tZm8+bNb9i+ZcuW1NbW7tQxH3zwwe2OLV++PO3t7ampqUnfvn13eKwnnngiSTJixIidmgvvHGvTc1mbns369FzWpueyNj2b9em5rM32bdmyJR0dHV3eKbk9vaqqqvbAnLrFfffdly9+8Yv5j//4j84n49VXX82oUaPyV3/1VznhhBO6dX6vv/30rSKT7mFtei5r07NZn57L2vRc1qZnsz49l7XZPd7VXyrT3NycqqryyCOPdG57+OGHU1VVmpqaunFmAAAA3e9dHYS1tbU5/fTTc8011+Thhx/Ov//7v+fyyy/P5z73ufTv37+7pwcAANCt3tWfIUySK6+8Mtddd10mT56c3r1757TTTssll1zS3dMCAADodu/6INx3331z7bXX5tprr+3uqQAAAPQo7+q3jAIAALB97+pvGQUAAGD73CEEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCDcja699trMnDlztx/3V7/6VS688MKMGjUqH/rQh/K3f/u3XcZfeuml/MVf/EWOOeaY/Mmf/Emuv/76bN26dbfPY2+2s2uzYsWKnHnmmRk5cmQ+8pGP5Hvf+16XcWuz67a3Nj/4wQ/y8Y9/PMOHD8+4ceMyZ86cdHR0vO3jWpvdY3vrs2TJkkyYMCGNjY057bTTsmjRoi7jXjt7D2vRfbxOupfrzN6rvb09V111VZqbm9PU1JTLL788bW1t3T2tvVbv7p7Au8G2bduyePHifO9738uECRO6jI0YMWK7+/3Lv/xLhg4dms985jNZsWJFl7EvfOELmTp1ajo6OjJ58uQccMABuf3227Nu3bpcfvnlGTBgQM4666wkycUXX5yNGzfmm9/8ZjZv3pwvf/nL6dWrVy6++OLdfq57m7damyQZO3ZsXnrppS7bZsyYkU9+8pNpbW3NpEmT8sEPfjBXXXVVVqxYkSuvvDLve9/7csIJJ1ibXfRWa/PjH/84l1xySf78z/88J554Yp588snMnDkzAwcOzMSJE5PE6+Yd9lbrs2bNmvzZn/1ZzjnnnFx//fV56KGHMnXq1Hz3u99NQ0OD184e5BrTs7nG9FyuM3u32bNn56GHHsqcOXPSr1+/XHPNNbniiisyZ86c7p7a3qlil6xZs6YaPnx4ddhhh1WHHXZYNWPGjC7jzz777Bt+LrzwwmrKlCnVtm3bqo6OjmrkyJHVAw880OUxLS0tVVVV1aJFi6oRI0ZUGzdu7Dzm3Llzq49//ONVVVXVM888Ux122GHVM8880zn+/e9/v2pqaqra29vf+SegB9vR2qxfv75qaGionnzyyS7P/csvv1xVVVXdfvvt1bhx47o8j5deemn1+c9/vqoqa7MrdrQ2X/ziF6tJkyZ12faNb3yj+shHPlJVVeV18w7b0fp89atfrT796U932fbf//t/73yc186e4xrTc7nG9GyuM3uvl156qTryyCOrRYsWdW77yU9+UjU0NFTr16/vxpntvbxldBcNHjw43/nOd3LPPffkyCOPfMP4+9///i4/y5cvzzPPPJOvfOUrqampybp169LR0ZE/+ZM/6fK4QYMGJXntbVmNjY0ZOHBg5zGbm5vzzDPPpKWlJUuXLk19fX3+6I/+qHP8uOOOy0svvZQnn3zyHT//nmxHa7Ny5coMGzYsDQ0NXZ77/fffP0mydOnSjB49Ovvss0/nPs3NzVmyZEkSa7MrdrQ2bW1taWpq6rJt0KBBeeGFF5LE6+YdtqP1Wbp0acaNG9dl23HHHdf52vDa2XNcY3ou15iezXVm7/Xoo48mSUaPHt25beTIkendu3eWLl3aXdPaq3nL6C7q06dPPvCBDyRJBgwY8JaP3bBhQ6677rr85V/+ZecFYeXKldl///0zefLk/OxnP8ugQYPymc98Jueee25qamqyevXqDBs2rMtx6urqkiTr16/PqlWrcuCBB3YZHzJkSOd4yXa0NitXrkxNTU3OOeecPPPMM6mvr8/555+f008/PUmyevXqnHTSSV32qaury+bNm9Pa2mptdsGO1ubmm2/u8ufNmzfn+9//fo444ogkXjfvtB2tz/ae35aWls5xr509zzWmZ3GN6dlcZ/Zeq1atypAhQ9KnT5/ObX369MmgQYM6r0P8fgThHnTjjTfmkEMOycc//vHObb/85S/z8ssv50Mf+lD+4i/+Ij/96U/zta99La2trZk6dWra2tryB3/wB12O079//ySv/dettra29OvXr8t4796907dvXx+u3YFf/vKX2bBhQ6ZMmZL3v//9eeCBB3LJJZeko6MjEyZMSFtbW/r27dtln9997q3NO+/pp5/OpZdempUrV+bv/u7vknjddLc3e20MGDCg87nz2ukerjE9i2vM3sN1Zu/yZs9t8trz77ndOYJwB1555ZXOtw+8mUMPPTS9evXa4XGee+65/N//+3/zzW9+s8v2008/PaeeemrnWxCOOOKItLa25tZbb83UqVOz//77Z/PmzV322bJlS5LkPe95T/bff//853/+Z5fxqqqydevW1NbWvq1z3Fvt6tr8j//xPzJ58uS85z3vSZIceeSRWbt2bb71rW9lwoQJb+u5tzZvbne8bl599dXMnTs38+bNy0EHHZTbb7+98ws0vG52za6uz/ae39efO6+d3eftrpVrzJ63o7Vxjeleb+e1s23bNteZvVBtbe0bnvuk63WI348g3IH77rsvl1122XbHH3300R2+VTRJvv3tb+fggw/O8ccf32X7m/0Pt6GhIS+99FK2bNmSIUOG5Omnn+4yvnbt2vyX//JfUldXl7q6uvzrv/5rl/Hnn38+HR0dGTp06A7ntTfb1bV5/R/533b44Yfn/vvvT/LaWzuee+65LuNr167NoEGD0q9fP2vzFnZ1bdrb23PhhRfmsccey0UXXZSJEyd2eWuI182u2dX12d5ro76+/i3HvXZ+f293rVxj9rydeR25xuw5O1qf//iP/8iUKVNcZ/ZCQ4YMyYsvvpj29vbONXv11Vfz4osvem53ki+V2YFPfvKTeeqpp7b783ZisKqq/OAHP8jHPvaxN4xdeOGF+epXv9pl2+OPP56DDjooffv2zbhx4/L444/nlVde6RxfvHhxRo4cmf322y/jxo3LmjVruvxXqAcffDB1dXVdPsj8brSra/OJT3yi860hr3viiSfyx3/8x0mScePGZcmSJdm2bVvn+OLFizNmzJjOcWvz5nZ1bebNm5fHH388CxYsyOc///kuF+nE62ZX7er6jBs3LosXL+6y7XdfG147u8fbWSvXmO6xo7U544wzXGO60Y7WZ8GCBa4ze6nm5uZUVZVHHnmkc9vDDz+cqqre8EVBvE3d9O2m70rnnHPOG76evaqqatmyZdVhhx1W/fSnP33D2N/93d9VI0aMqBYsWFD9/Oc/r+66665q5MiR1Xe+852qqqpq69at1Uc/+tFqypQp1fLly6u77rqrGj58ePWv//qvncc499xzqzPOOKNatmxZ9U//9E/VscceW82fP/+dOs290putzezZs6umpqbq+9//fvXzn/+8+t//+39XRxxxRLV48eKqqqpq48aNVXNzc3XllVdWP//5z6ubb765OuKII6rHH3+8qiprs7u82dp84hOfqL785S9X/+///b83/FSV182e9Gbrs3LlymrEiBHV3Llzq+XLl1fXXXddddRRR1XPPfdcVVVeO3uaa0zP5BrTs7nO7N0uu+yy6pRTTql+8pOfVIsWLao+9KEPVddcc013T2uvJQh3o+0F4fz586vhw4dXW7ZsedP95s+fX334wx+ujjzyyOrkk09+wz8Wq1atqs4777xqxIgR1Yknnlj9n//zf7qMt7S0VFOnTq1GjhxZjRkzpvrrv/7r3XZO7xZvtjbt7e3VN77xjeqEE06ojjzyyOoTn/hE9YMf/KDLY5544onq05/+dDV8+PDqlFNOqe67774u49Zm173Z2owcObLzd+D97s/rvG72jO39u/bAAw9Un/jEJ6oRI0ZU/+2//bfq4Ycf7jLutbPnuMb0TK4xPZvrzN7tN7/5TXXFFVdURx99dHXcccdV11xzjd/vuAt6VVVVdfddSgAAAPY8nyEEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEAAAolCAEgB5g6dKlOfzww/PQQw9191QAKIggBAAAKJQgBAAAKJQgBIBddMEFF6SpqSlbt27tsv2yyy7Lsccemy1btuS+++7LZz7zmYwaNSrNzc05//zz88gjj2z3mJdeemk++MEPdtm2Zs2aHH744bn77rs7t23atClf+cpX8sEPfjCNjY357Gc/m/vvv3/3niAA71qCEAB20WmnnZaXX345P/nJTzq3bd26NT/60Y9yyimn5Mknn8xFF12Ugw46KLNnz86ll16ajRs3ZtKkSfn1r3+903/vtm3b8oUvfCHf//73c8EFF+RrX/taDjrooPzZn/1Z/vmf/3k3nBkA73a9u3sCALC3O/nkk3P11Vfnvvvuy5gxY5IkP/7xj/PSSy/lT//0T/P000/n6KOPzte+9rX06tUrSfJf/+t/zcSJE/PUU0+lubl5p/7ehQsXZunSpbnrrrsyatSoJMlHPvKRbNy4MXPmzMmpp566e04QgHctdwgBYBftt99+GT9+fH74wx+mqqokyb333puhQ4fm2GOPzWc/+9nccccdaW1tzc9+9rPce++9ufPOO5O8dpdvZ/37v/976urqcthhh6Wtra3z54Mf/GD+8z//My0tLbvl/AB493KHEAB2g9NPPz3//M//nMceeywjRozID3/4w5x55pnp1atXVq9enSuvvDJLly7NoEGDcvDBB+eAAw74vf+O12PzdevXr8/zzz+fo48++k0fv3Hjxrzvfe/bqfMBoAyCEAB2g7Fjx+a9731v7rvvvrS1teXXv/51/vRP/zRJcskll6SlpSX33ntvDjrooCTJQw89lH/8x3/c7vFef2vpb/vdzxvuv//+nZ9LfDP19fU7eTYAlEIQAsBusM8+++RjH/tYfvjDH+aVV15JY2Nj/vAP/zBJ8uSTT+ZTn/pUZwwm2eEvoO/fv3/a2tpSVVVnHD788MNdHnPcccdl0aJFOeiggzJkyJDO7bfcckt+/OMfZ968ebvr9AB4lxKEALCbnHbaafn2t7+ddevW5ZJLLuncPmLEiPz93/99/uiP/ijvec978m//9m/56U9/muS1L59paGh4w7GOOeaY3H777fmbv/mbfOpTn8rPf/7zfOtb3+rymE996lP59re/nQsuuCDnnXde9ttvvyxevDjf/e53c9lll6WmxlcFAPDWXCkAYDc5+uijM2zYsHR0dORjH/tY5/bZs2dnxIgR+epXv5pZs2Zl0KBB+d73vpcxY8bkW9/6VlavXv2GY33sYx/L5MmTc/vtt+cjH/lIbrnllnzlK1/p8ph99903t99+e4YPH54bbrghl1xySR5//PFce+21Oe+8897x8wVg79er+t1PqAMAAFAEdwgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAKJQgBAAAK9f8B38ZCkKQzzWcAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -504,8 +504,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 5.308342, - "end_time": "2024-05-08T19:22:42.561644", + "duration": 3.915076, + "end_time": "2024-05-08T19:32:45.278464", "environment_variables": {}, "exception": null, "input_path": "Cauchy.ipynb", @@ -514,7 +514,7 @@ "func_name": "Cauchy", "positive_prior": false }, - "start_time": "2024-05-08T19:22:37.253302", + "start_time": "2024-05-08T19:32:41.363388", "version": "2.6.0" } }, diff --git a/notebooks/Configuration.html b/notebooks/Configuration.html index 7a82cb80..f09e1756 100644 --- a/notebooks/Configuration.html +++ b/notebooks/Configuration.html @@ -118,7 +118,7 @@

Configuration

-
19:19:28 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
+
19:29:01 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
                   available
diff --git a/notebooks/Configuration.ipynb b/notebooks/Configuration.ipynb index 839c8c65..42ec841b 100644 --- a/notebooks/Configuration.ipynb +++ b/notebooks/Configuration.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "447f7ae9", + "id": "e50d1acc", "metadata": {}, "source": [ "# Configuration\n", @@ -13,25 +13,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "5ed17931", + "id": "32ee2b10", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:27.998476Z", - "iopub.status.busy": "2024-05-08T19:19:27.997956Z", - "iopub.status.idle": "2024-05-08T19:19:29.175662Z", - "shell.execute_reply": "2024-05-08T19:19:29.175119Z" + "iopub.execute_input": "2024-05-08T19:29:00.812684Z", + "iopub.status.busy": "2024-05-08T19:29:00.812167Z", + "iopub.status.idle": "2024-05-08T19:29:02.270566Z", + "shell.execute_reply": "2024-05-08T19:29:02.269565Z" } }, "outputs": [ { "data": { "text/html": [ - "
19:19:28 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48\n",
+       "
19:29:01 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48\n",
        "                  available                                                                                        \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[38;5;46m19:19:28\u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The naima package is not available. Models that depend on it will not be        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=398101;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=552654;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#48\u001b\\\u001b[2m48\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[38;5;46m19:29:01\u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The naima package is not available. Models that depend on it will not be        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=532235;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=822626;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#48\u001b\\\u001b[2m48\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[38;5;46m         \u001b[0m         \u001b[1;38;5;251mavailable                                                                        \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m               \u001b[0m\n"
       ]
      },
@@ -46,7 +46,7 @@
        "
\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The GSL library or the pygsl wrapper cannot be loaded. Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=24461;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=845054;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m The GSL library or the pygsl wrapper cannot be loaded. Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=790370;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=244777;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -61,13 +61,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "08e400eb", + "id": "3db1f847", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:29.178169Z", - "iopub.status.busy": "2024-05-08T19:19:29.177887Z", - "iopub.status.idle": "2024-05-08T19:19:29.189449Z", - "shell.execute_reply": "2024-05-08T19:19:29.189066Z" + "iopub.execute_input": "2024-05-08T19:29:02.274522Z", + "iopub.status.busy": "2024-05-08T19:29:02.274038Z", + "iopub.status.idle": "2024-05-08T19:29:02.282594Z", + "shell.execute_reply": "2024-05-08T19:29:02.281148Z" } }, "outputs": [ @@ -132,7 +132,7 @@ }, { "cell_type": "markdown", - "id": "5ea3512a", + "id": "16b00210", "metadata": {}, "source": [ "The configuration can be accessed and altered during runtime:" @@ -141,13 +141,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "e2797201", + "id": "c08b37c6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:29.191431Z", - "iopub.status.busy": "2024-05-08T19:19:29.191329Z", - "iopub.status.idle": "2024-05-08T19:19:29.199526Z", - "shell.execute_reply": "2024-05-08T19:19:29.199160Z" + "iopub.execute_input": "2024-05-08T19:29:02.285890Z", + "iopub.status.busy": "2024-05-08T19:29:02.285629Z", + "iopub.status.idle": "2024-05-08T19:29:02.288755Z", + "shell.execute_reply": "2024-05-08T19:29:02.288112Z" } }, "outputs": [], @@ -158,13 +158,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "ca7a66ac", + "id": "345a12cc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:29.201368Z", - "iopub.status.busy": "2024-05-08T19:19:29.201265Z", - "iopub.status.idle": "2024-05-08T19:19:29.205909Z", - "shell.execute_reply": "2024-05-08T19:19:29.205577Z" + "iopub.execute_input": "2024-05-08T19:29:02.292102Z", + "iopub.status.busy": "2024-05-08T19:29:02.291857Z", + "iopub.status.idle": "2024-05-08T19:29:02.297953Z", + "shell.execute_reply": "2024-05-08T19:29:02.297376Z" } }, "outputs": [ @@ -229,7 +229,7 @@ }, { "cell_type": "markdown", - "id": "61aa6596", + "id": "f9ca6e71", "metadata": {}, "source": [ "The user can create a configuration YAML file with any name and the extension `.yml` and place it in the `~/.config/astromodels/` folder. An example file:\n", @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "a9a88677", + "id": "8d9a7f8f", "metadata": {}, "source": [ "## Configuration options\n", diff --git a/notebooks/Constant.ipynb b/notebooks/Constant.ipynb index b9d566b6..7142d7a3 100644 --- a/notebooks/Constant.ipynb +++ b/notebooks/Constant.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "f9608347", + "id": "4456f2b9", "metadata": { "papermill": { - "duration": 0.011207, - "end_time": "2024-05-08T19:20:57.824703", + "duration": 0.006857, + "end_time": "2024-05-08T19:30:45.117705", "exception": false, - "start_time": "2024-05-08T19:20:57.813496", + "start_time": "2024-05-08T19:30:45.110848", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f87e6938", + "id": "1dc51abb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:57.837067Z", - "iopub.status.busy": "2024-05-08T19:20:57.836327Z", - "iopub.status.idle": "2024-05-08T19:20:59.234978Z", - "shell.execute_reply": "2024-05-08T19:20:59.234431Z" + "iopub.execute_input": "2024-05-08T19:30:45.129479Z", + "iopub.status.busy": "2024-05-08T19:30:45.129008Z", + "iopub.status.idle": "2024-05-08T19:30:46.919804Z", + "shell.execute_reply": "2024-05-08T19:30:46.918977Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.40675, - "end_time": "2024-05-08T19:20:59.236492", + "duration": 1.798987, + "end_time": "2024-05-08T19:30:46.922174", "exception": false, - "start_time": "2024-05-08T19:20:57.829742", + "start_time": "2024-05-08T19:30:45.123187", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "45b17f2d", + "id": "175c133e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.239955Z", - "iopub.status.busy": "2024-05-08T19:20:59.239603Z", - "iopub.status.idle": "2024-05-08T19:20:59.248035Z", - "shell.execute_reply": "2024-05-08T19:20:59.247556Z" + "iopub.execute_input": "2024-05-08T19:30:46.927375Z", + "iopub.status.busy": "2024-05-08T19:30:46.926652Z", + "iopub.status.idle": "2024-05-08T19:30:46.930537Z", + "shell.execute_reply": "2024-05-08T19:30:46.929782Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011295, - "end_time": "2024-05-08T19:20:59.249183", + "duration": 0.008517, + "end_time": "2024-05-08T19:30:46.932654", "exception": false, - "start_time": "2024-05-08T19:20:59.237888", + "start_time": "2024-05-08T19:30:46.924137", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "03426708", + "id": "e7327fb9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.252028Z", - "iopub.status.busy": "2024-05-08T19:20:59.251887Z", - "iopub.status.idle": "2024-05-08T19:20:59.253842Z", - "shell.execute_reply": "2024-05-08T19:20:59.253473Z" + "iopub.execute_input": "2024-05-08T19:30:46.936903Z", + "iopub.status.busy": "2024-05-08T19:30:46.936666Z", + "iopub.status.idle": "2024-05-08T19:30:46.946109Z", + "shell.execute_reply": "2024-05-08T19:30:46.945450Z" }, "papermill": { - "duration": 0.004791, - "end_time": "2024-05-08T19:20:59.255084", + "duration": 0.014039, + "end_time": "2024-05-08T19:30:46.948229", "exception": false, - "start_time": "2024-05-08T19:20:59.250293", + "start_time": "2024-05-08T19:30:46.934190", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "b63ccb93", + "id": "810792a3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.257800Z", - "iopub.status.busy": "2024-05-08T19:20:59.257671Z", - "iopub.status.idle": "2024-05-08T19:20:59.260711Z", - "shell.execute_reply": "2024-05-08T19:20:59.260315Z" + "iopub.execute_input": "2024-05-08T19:30:46.952371Z", + "iopub.status.busy": "2024-05-08T19:30:46.952122Z", + "iopub.status.idle": "2024-05-08T19:30:46.960068Z", + "shell.execute_reply": "2024-05-08T19:30:46.959395Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.005823, - "end_time": "2024-05-08T19:20:59.261986", + "duration": 0.012328, + "end_time": "2024-05-08T19:30:46.962114", "exception": false, - "start_time": "2024-05-08T19:20:59.256163", + "start_time": "2024-05-08T19:30:46.949786", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "ff718642", + "id": "fb1e5669", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001076, - "end_time": "2024-05-08T19:20:59.264165", + "duration": 0.00129, + "end_time": "2024-05-08T19:30:46.964892", "exception": false, - "start_time": "2024-05-08T19:20:59.263089", + "start_time": "2024-05-08T19:30:46.963602", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "e2af1196", + "id": "80216a3f", "metadata": { "execution": { - "iopub.execute_input": 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"start_time": "2024-05-08T19:20:59.272717", + "start_time": "2024-05-08T19:30:46.978340", "status": "completed" }, "tags": [] @@ -295,19 +295,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "1093a258", + "id": "9114f947", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.276931Z", - "iopub.status.busy": "2024-05-08T19:20:59.276788Z", - "iopub.status.idle": "2024-05-08T19:20:59.373736Z", - "shell.execute_reply": "2024-05-08T19:20:59.373367Z" + "iopub.execute_input": "2024-05-08T19:30:46.984140Z", + "iopub.status.busy": "2024-05-08T19:30:46.983921Z", + "iopub.status.idle": "2024-05-08T19:30:47.117472Z", + "shell.execute_reply": "2024-05-08T19:30:47.114858Z" }, "papermill": { - "duration": 0.100063, - "end_time": "2024-05-08T19:20:59.375115", + "duration": 0.139238, + "end_time": "2024-05-08T19:30:47.120652", "exception": false, - "start_time": "2024-05-08T19:20:59.275052", + "start_time": "2024-05-08T19:30:46.981414", "status": "completed" }, "tags": [ @@ -340,14 +340,14 @@ }, { "cell_type": "markdown", - "id": "7232aca1", + "id": "8b94f809", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001464, - "end_time": "2024-05-08T19:20:59.378184", + "duration": 0.004806, + "end_time": "2024-05-08T19:30:47.130343", "exception": false, - "start_time": "2024-05-08T19:20:59.376720", + "start_time": "2024-05-08T19:30:47.125537", "status": "completed" }, "tags": [] @@ -362,19 +362,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "befb3d77", + "id": "469924f9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.381649Z", - "iopub.status.busy": "2024-05-08T19:20:59.381511Z", - "iopub.status.idle": "2024-05-08T19:20:59.520294Z", - "shell.execute_reply": "2024-05-08T19:20:59.519959Z" + "iopub.execute_input": "2024-05-08T19:30:47.134863Z", + "iopub.status.busy": "2024-05-08T19:30:47.134666Z", + "iopub.status.idle": "2024-05-08T19:30:47.328238Z", + "shell.execute_reply": "2024-05-08T19:30:47.327183Z" }, "papermill": { - "duration": 0.142258, - "end_time": "2024-05-08T19:20:59.521759", + "duration": 0.199695, + "end_time": "2024-05-08T19:30:47.331861", "exception": false, - "start_time": "2024-05-08T19:20:59.379501", + "start_time": "2024-05-08T19:30:47.132166", "status": "completed" }, "tags": [] @@ -406,13 +406,13 @@ }, { "cell_type": "markdown", - "id": "1052a9a3", + "id": "7f7a105c", "metadata": { "papermill": { - "duration": 0.001504, - "end_time": "2024-05-08T19:20:59.524976", + "duration": 0.004427, + "end_time": "2024-05-08T19:30:47.341394", "exception": false, - "start_time": "2024-05-08T19:20:59.523472", + "start_time": "2024-05-08T19:30:47.336967", "status": "completed" }, "tags": [] @@ -427,19 +427,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "48620efa", + "id": "75eed34f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:59.528774Z", - "iopub.status.busy": "2024-05-08T19:20:59.528633Z", - "iopub.status.idle": "2024-05-08T19:20:59.610561Z", - "shell.execute_reply": "2024-05-08T19:20:59.610236Z" + "iopub.execute_input": "2024-05-08T19:30:47.346287Z", + "iopub.status.busy": "2024-05-08T19:30:47.346041Z", + "iopub.status.idle": "2024-05-08T19:30:47.453629Z", + "shell.execute_reply": "2024-05-08T19:30:47.452149Z" }, "papermill": { - "duration": 0.085423, - "end_time": "2024-05-08T19:20:59.611917", + "duration": 0.112079, + "end_time": "2024-05-08T19:30:47.455559", "exception": false, - "start_time": "2024-05-08T19:20:59.526494", + "start_time": "2024-05-08T19:30:47.343480", "status": "completed" }, "tags": [] @@ -492,8 +492,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.855675, - "end_time": "2024-05-08T19:20:59.937814", + "duration": 3.429891, + "end_time": "2024-05-08T19:30:48.006452", "environment_variables": {}, "exception": null, "input_path": "Constant.ipynb", @@ -505,7 +505,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:20:57.082139", + "start_time": "2024-05-08T19:30:44.576561", "version": "2.6.0" } }, diff --git a/notebooks/Cosine_Prior.ipynb b/notebooks/Cosine_Prior.ipynb index 5ab4c1b5..6c4d5507 100644 --- a/notebooks/Cosine_Prior.ipynb +++ b/notebooks/Cosine_Prior.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "4c5a0257", + "id": "6c216f31", "metadata": { "papermill": { - "duration": 0.007457, - "end_time": "2024-05-08T19:22:43.177498", + "duration": 0.003882, + "end_time": "2024-05-08T19:32:45.895166", "exception": false, - "start_time": "2024-05-08T19:22:43.170041", + "start_time": "2024-05-08T19:32:45.891284", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "213481ad", + "id": "f5b9d881", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:43.190863Z", - "iopub.status.busy": "2024-05-08T19:22:43.190295Z", - "iopub.status.idle": "2024-05-08T19:22:44.673001Z", - "shell.execute_reply": "2024-05-08T19:22:44.672389Z" + "iopub.execute_input": "2024-05-08T19:32:45.903731Z", + "iopub.status.busy": "2024-05-08T19:32:45.902919Z", + "iopub.status.idle": "2024-05-08T19:32:47.741041Z", + "shell.execute_reply": "2024-05-08T19:32:47.739827Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.490669, - "end_time": "2024-05-08T19:22:44.674533", + "duration": 1.845077, + "end_time": "2024-05-08T19:32:47.743485", "exception": false, - "start_time": "2024-05-08T19:22:43.183864", + "start_time": "2024-05-08T19:32:45.898408", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "a374b09d", + "id": "084ae85c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:44.677759Z", - "iopub.status.busy": "2024-05-08T19:22:44.677413Z", - "iopub.status.idle": "2024-05-08T19:22:44.686074Z", - "shell.execute_reply": "2024-05-08T19:22:44.685554Z" + "iopub.execute_input": 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", "text/plain": [ "
" ] @@ -503,8 +503,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.810549, - "end_time": "2024-05-08T19:22:45.405538", + "duration": 3.544274, + "end_time": "2024-05-08T19:32:48.852901", "environment_variables": {}, "exception": null, "input_path": "Cosine_Prior.ipynb", @@ -513,7 +513,7 @@ "func_name": "Cosine_Prior", "positive_prior": false }, - "start_time": "2024-05-08T19:22:42.594989", + "start_time": "2024-05-08T19:32:45.308627", "version": "2.6.0" } }, diff --git a/notebooks/Cubic.ipynb b/notebooks/Cubic.ipynb index aa16c630..b4e14fac 100644 --- a/notebooks/Cubic.ipynb +++ b/notebooks/Cubic.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "02651eb7", + "id": "b5c717b5", "metadata": { "papermill": { - "duration": 0.012236, - "end_time": "2024-05-08T19:21:06.296717", + "duration": 0.008115, + "end_time": "2024-05-08T19:30:55.663542", "exception": false, - "start_time": "2024-05-08T19:21:06.284481", + "start_time": "2024-05-08T19:30:55.655427", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "be57b60b", + "id": "d2b52312", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:06.312698Z", - "iopub.status.busy": "2024-05-08T19:21:06.311942Z", - "iopub.status.idle": "2024-05-08T19:21:07.727072Z", - "shell.execute_reply": "2024-05-08T19:21:07.726617Z" + "iopub.execute_input": "2024-05-08T19:30:55.675575Z", + "iopub.status.busy": "2024-05-08T19:30:55.675098Z", + "iopub.status.idle": "2024-05-08T19:30:57.427071Z", + "shell.execute_reply": "2024-05-08T19:30:57.426225Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.424285, - "end_time": "2024-05-08T19:21:07.728580", + "duration": 1.760024, + "end_time": "2024-05-08T19:30:57.429358", "exception": false, - "start_time": "2024-05-08T19:21:06.304295", + "start_time": "2024-05-08T19:30:55.669334", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - 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3.455118, + "end_time": "2024-05-08T19:30:58.565445", "environment_variables": {}, "exception": null, "input_path": "Cubic.ipynb", @@ -601,7 +601,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:21:05.523551", + "start_time": "2024-05-08T19:30:55.110327", "version": "2.6.0" } }, diff --git a/notebooks/Cutoff_powerlaw.ipynb b/notebooks/Cutoff_powerlaw.ipynb index 1f60814c..ef82762b 100644 --- a/notebooks/Cutoff_powerlaw.ipynb +++ b/notebooks/Cutoff_powerlaw.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "cc00412a", + "id": "7ed1d706", "metadata": { "papermill": { - "duration": 0.011112, - "end_time": "2024-05-08T19:21:22.838441", + "duration": 0.007888, + "end_time": "2024-05-08T19:31:15.813241", "exception": false, - "start_time": "2024-05-08T19:21:22.827329", + "start_time": "2024-05-08T19:31:15.805353", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "b3f98925", + "id": 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"x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:25.680982", + "start_time": "2024-05-08T19:31:19.544305", "version": "2.6.0" } }, diff --git a/notebooks/DMFitFunction.ipynb b/notebooks/DMFitFunction.ipynb index 6ebd6e6f..178af252 100644 --- a/notebooks/DMFitFunction.ipynb +++ b/notebooks/DMFitFunction.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "730338f4", + "id": "6e7329fd", "metadata": { "papermill": { - "duration": 0.004304, - "end_time": "2024-05-08T19:22:02.192515", + "duration": 0.004849, + "end_time": "2024-05-08T19:32:00.452240", "exception": false, - "start_time": "2024-05-08T19:22:02.188211", + "start_time": "2024-05-08T19:32:00.447391", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "d292aa8b", + "id": "0bb109fe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:02.211633Z", - "iopub.status.busy": "2024-05-08T19:22:02.210974Z", - 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"2024-05-08T19:22:01.580701", + "start_time": "2024-05-08T19:31:59.647191", "version": "2.6.0" } }, diff --git a/notebooks/DMSpectra.ipynb b/notebooks/DMSpectra.ipynb index cc51d0de..12b491e0 100644 --- a/notebooks/DMSpectra.ipynb +++ b/notebooks/DMSpectra.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "7a184e89", + "id": "4be37ef6", "metadata": { "papermill": { - "duration": 0.010572, - "end_time": "2024-05-08T19:22:05.531301", + "duration": 0.004931, + "end_time": "2024-05-08T19:32:05.065797", "exception": false, - "start_time": "2024-05-08T19:22:05.520729", + "start_time": "2024-05-08T19:32:05.060866", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "bb3f62b8", + "id": "521668b8", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:05.545659Z", - "iopub.status.busy": "2024-05-08T19:22:05.544938Z", - "iopub.status.idle": "2024-05-08T19:22:07.025520Z", - "shell.execute_reply": 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b/notebooks/DiracDelta.ipynb index a47a1217..79481961 100644 --- a/notebooks/DiracDelta.ipynb +++ b/notebooks/DiracDelta.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "9771904b", + "id": "1bebbe2a", "metadata": { "papermill": { - "duration": 0.011095, - "end_time": "2024-05-08T19:20:29.358258", + "duration": 0.006141, + "end_time": "2024-05-08T19:30:09.854210", "exception": false, - "start_time": "2024-05-08T19:20:29.347163", + "start_time": "2024-05-08T19:30:09.848069", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "e786872b", + "id": "5c661fb6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:29.373908Z", - "iopub.status.busy": "2024-05-08T19:20:29.373213Z", - "iopub.status.idle": "2024-05-08T19:20:30.826607Z", - "shell.execute_reply": "2024-05-08T19:20:30.826106Z" + "iopub.execute_input": "2024-05-08T19:30:09.866926Z", + "iopub.status.busy": "2024-05-08T19:30:09.866420Z", + 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a/notebooks/Disk_on_sphere.ipynb +++ b/notebooks/Disk_on_sphere.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "677b2cbb", + "id": "1a598729", "metadata": { "papermill": { - "duration": 0.001558, - "end_time": "2024-05-08T19:22:20.029729", + "duration": 0.006219, + "end_time": "2024-05-08T19:32:22.449665", "exception": false, - "start_time": "2024-05-08T19:22:20.028171", + "start_time": "2024-05-08T19:32:22.443446", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "ebc5c871", + "id": "0e68022f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:20.033815Z", - "iopub.status.busy": "2024-05-08T19:22:20.033595Z", - "iopub.status.idle": "2024-05-08T19:22:22.521757Z", - "shell.execute_reply": "2024-05-08T19:22:22.520258Z" + "iopub.execute_input": "2024-05-08T19:32:22.460112Z", + "iopub.status.busy": "2024-05-08T19:32:22.459407Z", + "iopub.status.idle": "2024-05-08T19:32:24.660183Z", + 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"input_path": "Disk_on_sphere.ipynb", @@ -420,7 +420,7 @@ "parameters": { "func_name": "Disk_on_sphere" }, - "start_time": "2024-05-08T19:22:19.338272", + "start_time": "2024-05-08T19:32:21.622686", "version": "2.6.0" } }, diff --git a/notebooks/DoubleSmoothlyBrokenPowerlaw.ipynb b/notebooks/DoubleSmoothlyBrokenPowerlaw.ipynb index fa523ddd..e0657bd3 100644 --- a/notebooks/DoubleSmoothlyBrokenPowerlaw.ipynb +++ b/notebooks/DoubleSmoothlyBrokenPowerlaw.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "fe876c37", + "id": "2ec56bb6", "metadata": { "papermill": { - "duration": 0.009034, - "end_time": "2024-05-08T19:21:58.019942", + "duration": 0.005464, + "end_time": "2024-05-08T19:31:55.652636", "exception": false, - "start_time": "2024-05-08T19:21:58.010908", + "start_time": "2024-05-08T19:31:55.647172", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "9e8f311a", + "id": "60651cc9", "metadata": { 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@@ -475,8 +475,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.600037, - "end_time": "2024-05-08T19:22:27.135095", + "duration": 4.223031, + "end_time": "2024-05-08T19:32:29.763173", "environment_variables": {}, "exception": null, "input_path": "Ellipse_on_sphere.ipynb", @@ -484,7 +484,7 @@ "parameters": { "func_name": "Ellipse_on_sphere" }, - "start_time": "2024-05-08T19:22:23.535058", + "start_time": "2024-05-08T19:32:25.540142", "version": "2.6.0" } }, diff --git a/notebooks/Exponential.ipynb b/notebooks/Exponential.ipynb index 41c29d48..e8ff274d 100644 --- a/notebooks/Exponential.ipynb +++ b/notebooks/Exponential.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "6aecccf9", + "id": "632bcf69", "metadata": { "papermill": { - "duration": 0.008451, - "end_time": "2024-05-08T19:23:00.599161", + "duration": 0.004952, + "end_time": "2024-05-08T19:33:08.132957", "exception": false, - "start_time": "2024-05-08T19:23:00.590710", + "start_time": 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", "text/plain": [ "
" ] @@ -439,8 +439,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.127962, - "end_time": "2024-05-08T19:23:03.155005", + "duration": 3.495827, + "end_time": "2024-05-08T19:33:11.077967", "environment_variables": {}, "exception": null, "input_path": "Exponential.ipynb", @@ -449,7 +449,7 @@ "func_name": "Exponential", "positive_prior": true }, - "start_time": "2024-05-08T19:23:00.027043", + "start_time": "2024-05-08T19:33:07.582140", "version": "2.6.0" } }, diff --git a/notebooks/Exponential_cutoff.ipynb b/notebooks/Exponential_cutoff.ipynb index 58ac44d5..800a8004 100644 --- a/notebooks/Exponential_cutoff.ipynb +++ b/notebooks/Exponential_cutoff.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "16adf1df", + "id": "fe2086c1", "metadata": { "papermill": { - "duration": 0.011205, - "end_time": "2024-05-08T19:20:35.470499", + "duration": 0.008021, + "end_time": "2024-05-08T19:30:17.616950", "exception": false, - "start_time": "2024-05-08T19:20:35.459294", + "start_time": "2024-05-08T19:30:17.608929", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - 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Introduction
-
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diff --git a/notebooks/Extended_sources_tutorial.ipynb b/notebooks/Extended_sources_tutorial.ipynb index 0fed09d9..a4b6d070 100644 --- a/notebooks/Extended_sources_tutorial.ipynb +++ b/notebooks/Extended_sources_tutorial.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "3ff61384", + "id": "77ef7e1e", "metadata": {}, "source": [ "# Extended source tutorial" @@ -10,7 +10,7 @@ }, { "cell_type": "markdown", - "id": "6c8d266c", + "id": "b7246a54", "metadata": {}, "source": [ "## Introduction\n", @@ -21,25 +21,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "7ff8e7f7", + "id": "daa2b2d9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:33.230924Z", - "iopub.status.busy": "2024-05-08T19:19:33.230543Z", - "iopub.status.idle": "2024-05-08T19:19:34.393855Z", - "shell.execute_reply": "2024-05-08T19:19:34.393376Z" + "iopub.execute_input": "2024-05-08T19:29:03.493160Z", + "iopub.status.busy": "2024-05-08T19:29:03.492530Z", + "iopub.status.idle": "2024-05-08T19:29:04.905854Z", + "shell.execute_reply": "2024-05-08T19:29:04.904767Z" } }, "outputs": [ { "data": { "text/html": [ - "
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        "                  available                                                                                        \n",
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Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=245498;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=277627;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -280,7 +280,7 @@ }, { "cell_type": "markdown", - "id": "47adc68e", + "id": "c50ff7b4", "metadata": {}, "source": [ "Instead of the `position` property, extended sources have a `spatial_shape` property, which contains the function that was specified as the `shape` argument earlier. Information can be printed either with the regular `print` function or using `.display()`:" @@ -289,13 +289,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "2a956519", + "id": "6d57d9b3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.396252Z", - "iopub.status.busy": "2024-05-08T19:19:34.395981Z", - "iopub.status.idle": "2024-05-08T19:19:34.406621Z", - "shell.execute_reply": "2024-05-08T19:19:34.406242Z" + "iopub.execute_input": "2024-05-08T19:29:04.909814Z", + "iopub.status.busy": "2024-05-08T19:29:04.909325Z", + "iopub.status.idle": "2024-05-08T19:29:04.916222Z", + "shell.execute_reply": "2024-05-08T19:29:04.915443Z" } }, "outputs": [ @@ -442,7 +442,7 @@ }, { "cell_type": "markdown", - "id": "59be4093", + "id": "aaa31099", "metadata": {}, "source": [ "Spatial shape parameters can be listed, accessed, changed as any function parameters, for example:" @@ -451,13 +451,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "dcc6d5ca", + "id": "3175267e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.408532Z", - "iopub.status.busy": "2024-05-08T19:19:34.408435Z", - "iopub.status.idle": "2024-05-08T19:19:34.413001Z", - "shell.execute_reply": "2024-05-08T19:19:34.412576Z" + "iopub.execute_input": "2024-05-08T19:29:04.920113Z", + "iopub.status.busy": "2024-05-08T19:29:04.919847Z", + "iopub.status.idle": "2024-05-08T19:29:04.926827Z", + "shell.execute_reply": "2024-05-08T19:29:04.925743Z" } }, "outputs": [ @@ -510,7 +510,7 @@ }, { "cell_type": "markdown", - "id": "dd5bcea2", + "id": "c0968ed6", "metadata": {}, "source": [ "## Available shapes" @@ -518,7 +518,7 @@ }, { "cell_type": "markdown", - "id": "615492b7", + "id": "8ab36654", "metadata": {}, "source": [ "Here's a list of available 2D functions:" @@ -527,13 +527,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "c48b6ad3", + "id": "47c4102a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.414942Z", - "iopub.status.busy": "2024-05-08T19:19:34.414846Z", - "iopub.status.idle": "2024-05-08T19:19:34.417067Z", - "shell.execute_reply": "2024-05-08T19:19:34.416712Z" + "iopub.execute_input": "2024-05-08T19:29:04.930710Z", + "iopub.status.busy": "2024-05-08T19:29:04.930458Z", + "iopub.status.idle": "2024-05-08T19:29:04.939811Z", + "shell.execute_reply": "2024-05-08T19:29:04.939121Z" } }, "outputs": [ @@ -551,7 +551,7 @@ }, { "cell_type": "markdown", - "id": "ef27dc41", + "id": "dee02c87", "metadata": {}, "source": [ "Check the API or use the `display()` function to find out more about the shapes and their free parameters. " @@ -559,7 +559,7 @@ }, { "cell_type": "markdown", - "id": "be8c7828", + "id": "91157217", "metadata": {}, "source": [ "### \"Moveable\" Functions\n", @@ -573,7 +573,7 @@ }, { "cell_type": "markdown", - "id": "456cc024", + "id": "fd8f1433", "metadata": {}, "source": [ "### Fixed-position Functions\n", @@ -586,13 +586,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "ef210125", + "id": "0d67949e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.418994Z", - "iopub.status.busy": "2024-05-08T19:19:34.418872Z", - "iopub.status.idle": "2024-05-08T19:19:34.423043Z", - "shell.execute_reply": "2024-05-08T19:19:34.422609Z" + "iopub.execute_input": "2024-05-08T19:29:04.943320Z", + "iopub.status.busy": "2024-05-08T19:29:04.943099Z", + "iopub.status.idle": "2024-05-08T19:29:04.955251Z", + "shell.execute_reply": "2024-05-08T19:29:04.954618Z" } }, "outputs": [ @@ -759,7 +759,7 @@ }, { "cell_type": "markdown", - "id": "b9dd96a5", + "id": "b723d969", "metadata": {}, "source": [ "`SpatialTemplate_2D` is designed to read in a user-provided fits file with an image (in WCS coordinates) using the `load_file()` function. The function value will be 0 outside the WCS and equal to the value of the pixel containing the given coordinates inside the WCS. The provided template should be in units of 1/deg2 and normalized so that its integral is 1. If that is not the case, the normalization parameter `K` may be set accordingly so that the overall function is normalized as expected." @@ -768,13 +768,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "969ec382", + "id": "ca9d49cf", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.425005Z", - "iopub.status.busy": "2024-05-08T19:19:34.424906Z", - "iopub.status.idle": "2024-05-08T19:19:34.461860Z", - "shell.execute_reply": "2024-05-08T19:19:34.461516Z" + "iopub.execute_input": "2024-05-08T19:29:04.958553Z", + "iopub.status.busy": "2024-05-08T19:29:04.958315Z", + "iopub.status.idle": "2024-05-08T19:29:04.991360Z", + "shell.execute_reply": "2024-05-08T19:29:04.990558Z" } }, "outputs": [ @@ -786,7 +786,7 @@ "\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m 2D template read from spitzer_example_image.fits is normalized to nan \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=553942;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py\u001b\\\u001b[2mfunctions_2D.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=254535;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py#747\u001b\\\u001b[2m747\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m 2D template read from spitzer_example_image.fits is normalized to nan \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=72722;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py\u001b\\\u001b[2mfunctions_2D.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=150554;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_2D.py#747\u001b\\\u001b[2m747\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251m(\u001b[0m\u001b[1;38;5;251mexpected: \u001b[0m\u001b[1;37m1\u001b[0m\u001b[1;38;5;251m)\u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -976,7 +976,7 @@ }, { "cell_type": "markdown", - "id": "0501492c", + "id": "54002823", "metadata": {}, "source": [ "## \"Calling\" extended sources\n", @@ -987,13 +987,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "32f4fbb4", + "id": "e3f65a37", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.463924Z", - "iopub.status.busy": "2024-05-08T19:19:34.463783Z", - "iopub.status.idle": "2024-05-08T19:19:34.607296Z", - "shell.execute_reply": "2024-05-08T19:19:34.606859Z" + "iopub.execute_input": "2024-05-08T19:29:04.994988Z", + "iopub.status.busy": "2024-05-08T19:29:04.994776Z", + "iopub.status.idle": "2024-05-08T19:29:05.167977Z", + "shell.execute_reply": "2024-05-08T19:29:05.166628Z" } }, "outputs": [ @@ -1001,7 +1001,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Whole source:\n", + "Whole source:\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "[[1.16105524e+04 1.13462640e+02 1.10879915e+00]\n", " [0.00000000e+00 0.00000000e+00 0.00000000e+00]] 1 / (keV s cm2 deg2)\n", "\n", @@ -1046,7 +1052,7 @@ }, { "cell_type": "markdown", - "id": "16be4e21", + "id": "8bbc66fb", "metadata": {}, "source": [ "## Caveats and gotchas\n", @@ -1067,13 +1073,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "2c1bb889", + "id": "8505919d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:34.609294Z", - "iopub.status.busy": "2024-05-08T19:19:34.609187Z", - "iopub.status.idle": "2024-05-08T19:19:34.612424Z", - "shell.execute_reply": "2024-05-08T19:19:34.612027Z" + "iopub.execute_input": "2024-05-08T19:29:05.171320Z", + "iopub.status.busy": "2024-05-08T19:29:05.171080Z", + "iopub.status.idle": "2024-05-08T19:29:05.175299Z", + "shell.execute_reply": "2024-05-08T19:29:05.174503Z" } }, "outputs": [ @@ -1097,7 +1103,7 @@ }, { "cell_type": "markdown", - "id": "14717623", + "id": "8cb4455f", "metadata": {}, "source": [ "## Energy-Dependent Morphology\n", @@ -1111,7 +1117,7 @@ { "cell_type": "code", "execution_count": null, - "id": "20f6bbc6", + "id": "c82ddc61", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/Functions_tutorial.html b/notebooks/Functions_tutorial.html index 083d9363..cb6490b8 100644 --- a/notebooks/Functions_tutorial.html +++ b/notebooks/Functions_tutorial.html @@ -139,7 +139,7 @@

Functions tutorial -

nameDescription
Asymm_Gaussian_on_sphereA bidimensional Gaussian function on a sphere (in spherical coordinates)\\nsee https://en.wikipedia.org/wiki/Gaussian_function#Two-dimensional_Gaussian_function
BandBand model from Band et al., 1993, parametrized with the peak energy
+
@@ -681,7 +681,7 @@

Using physical units 
-5.44 µs ± 169 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)
+5.67 µs ± 41.8 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)
@@ -697,7 +697,7 @@

Using physical units 
-88.1 µs ± 1.03 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)
+96 µs ± 634 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)

As you can see using astropy.units requires about 10x more than using a plain assignment. In an interactive analysis you are unlikely to notice the difference, but if you use units in a loop or during a fit this slow-down will add up an become very noticeable. Note that this is a feature of astropy.units, not of astromodels.

diff --git a/notebooks/Functions_tutorial.ipynb b/notebooks/Functions_tutorial.ipynb index 4737f96c..5147d4e4 100644 --- a/notebooks/Functions_tutorial.ipynb +++ b/notebooks/Functions_tutorial.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "c68b7c6b", + "id": "232bc28c", "metadata": {}, "source": [ "# Functions tutorial\n", @@ -15,13 +15,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "a5ca4c59", + "id": "279b82ac", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:35.502575Z", - "iopub.status.busy": "2024-05-08T19:19:35.501979Z", - "iopub.status.idle": "2024-05-08T19:19:36.651512Z", - "shell.execute_reply": "2024-05-08T19:19:36.650989Z" + "iopub.execute_input": "2024-05-08T19:29:06.192492Z", + "iopub.status.busy": "2024-05-08T19:29:06.191900Z", + "iopub.status.idle": "2024-05-08T19:29:07.603973Z", + "shell.execute_reply": "2024-05-08T19:29:07.603092Z" } }, "outputs": [], @@ -33,20 +33,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "ec43e263", + "id": "cd40521c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.653995Z", - "iopub.status.busy": "2024-05-08T19:19:36.653728Z", - "iopub.status.idle": "2024-05-08T19:19:36.658733Z", - "shell.execute_reply": "2024-05-08T19:19:36.658352Z" + "iopub.execute_input": "2024-05-08T19:29:07.607711Z", + "iopub.status.busy": "2024-05-08T19:29:07.607219Z", + "iopub.status.idle": "2024-05-08T19:29:07.620507Z", + "shell.execute_reply": "2024-05-08T19:29:07.619784Z" } }, "outputs": [ { "data": { "text/html": [ - "

nameDescription
Asymm_Gaussian_on_sphereA bidimensional Gaussian function on a sphere (in spherical coordinates)\nsee https://en.wikipedia.org/wiki/Gaussian_function#Two-dimensional_Gaussian_function
BandBand model from Band et al., 1993, parametrized with the peak energy
\n", + "
\n", "\n", "\n", "\n", @@ -110,7 +110,7 @@ }, { "cell_type": "markdown", - "id": "cad40aad", + "id": "c35341fe", "metadata": {}, "source": [ "If you need more info about a function, you can obtain it by using:" @@ -119,13 +119,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "0436e5a9", + "id": "33422677", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.660713Z", - "iopub.status.busy": "2024-05-08T19:19:36.660572Z", - "iopub.status.idle": "2024-05-08T19:19:36.663098Z", - "shell.execute_reply": "2024-05-08T19:19:36.662756Z" + "iopub.execute_input": "2024-05-08T19:29:07.624102Z", + "iopub.status.busy": "2024-05-08T19:29:07.623824Z", + "iopub.status.idle": "2024-05-08T19:29:07.634360Z", + "shell.execute_reply": "2024-05-08T19:29:07.633684Z" } }, "outputs": [ @@ -230,7 +230,7 @@ }, { "cell_type": "markdown", - "id": "7ed944ea", + "id": "18b8a684", "metadata": {}, "source": [ "Note that you don’t need to create an instance in order to call the info() method." @@ -238,7 +238,7 @@ }, { "cell_type": "markdown", - "id": "788c524e", + "id": "26969c7f", "metadata": {}, "source": [ "## Creating functions\n", @@ -249,13 +249,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "9052c898", + "id": "c6a8b9de", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.665033Z", - "iopub.status.busy": "2024-05-08T19:19:36.664902Z", - "iopub.status.idle": "2024-05-08T19:19:36.667009Z", - "shell.execute_reply": "2024-05-08T19:19:36.666656Z" + "iopub.execute_input": "2024-05-08T19:29:07.637807Z", + "iopub.status.busy": "2024-05-08T19:29:07.637590Z", + "iopub.status.idle": "2024-05-08T19:29:07.647429Z", + "shell.execute_reply": "2024-05-08T19:29:07.646675Z" } }, "outputs": [], @@ -265,7 +265,7 @@ }, { "cell_type": "markdown", - "id": "4d9bc97c", + "id": "6fdb9e4f", "metadata": {}, "source": [ "or we can specify on construction specific values for the parameters:" @@ -274,13 +274,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "b1d20992", + "id": "d314e0a6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.668908Z", - "iopub.status.busy": "2024-05-08T19:19:36.668778Z", - "iopub.status.idle": "2024-05-08T19:19:36.677073Z", - "shell.execute_reply": "2024-05-08T19:19:36.676724Z" + "iopub.execute_input": "2024-05-08T19:29:07.650629Z", + "iopub.status.busy": "2024-05-08T19:29:07.650379Z", + "iopub.status.idle": "2024-05-08T19:29:07.654204Z", + "shell.execute_reply": "2024-05-08T19:29:07.653321Z" } }, "outputs": [], @@ -290,7 +290,7 @@ }, { "cell_type": "markdown", - "id": "3f10d222", + "id": "a17acd41", "metadata": {}, "source": [ "If you don’t remember the names of the parameters just call the .info() method as in powerlaw.info() as demonstrated above." @@ -298,7 +298,7 @@ }, { "cell_type": "markdown", - "id": "26abc79d", + "id": "f4379b01", "metadata": {}, "source": [ "## Getting information about an instance\n", @@ -309,13 +309,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "cb980163", + "id": "dac18087", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.679000Z", - "iopub.status.busy": "2024-05-08T19:19:36.678903Z", - "iopub.status.idle": "2024-05-08T19:19:36.688929Z", - "shell.execute_reply": "2024-05-08T19:19:36.688577Z" + "iopub.execute_input": "2024-05-08T19:29:07.657351Z", + "iopub.status.busy": "2024-05-08T19:29:07.657139Z", + "iopub.status.idle": "2024-05-08T19:29:07.662529Z", + "shell.execute_reply": "2024-05-08T19:29:07.661760Z" } }, "outputs": [ @@ -449,7 +449,7 @@ }, { "cell_type": "markdown", - "id": "2b6f663e", + "id": "cd34f783", "metadata": {}, "source": [ "It is also possible to get the text-only representation by simply printing the object like this:" @@ -458,13 +458,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "ba96a13b", + "id": "f2ba8a37", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.690854Z", - "iopub.status.busy": "2024-05-08T19:19:36.690758Z", - "iopub.status.idle": "2024-05-08T19:19:36.699898Z", - "shell.execute_reply": "2024-05-08T19:19:36.699529Z" + "iopub.execute_input": "2024-05-08T19:29:07.666704Z", + "iopub.status.busy": "2024-05-08T19:29:07.666438Z", + "iopub.status.idle": "2024-05-08T19:29:07.677005Z", + "shell.execute_reply": "2024-05-08T19:29:07.676320Z" } }, "outputs": [ @@ -512,7 +512,7 @@ }, { "cell_type": "markdown", - "id": "f20c18d4", + "id": "b0f33bc1", "metadata": {}, "source": [ "
\n", @@ -525,7 +525,7 @@ }, { "cell_type": "markdown", - "id": "b8e43aed", + "id": "19aac171", "metadata": {}, "source": [ "## Modifying parameters\n", @@ -536,13 +536,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "04467bc6", + "id": "f36ed241", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.701846Z", - "iopub.status.busy": "2024-05-08T19:19:36.701745Z", - "iopub.status.idle": "2024-05-08T19:19:36.713228Z", - "shell.execute_reply": "2024-05-08T19:19:36.712865Z" + "iopub.execute_input": "2024-05-08T19:29:07.680244Z", + "iopub.status.busy": "2024-05-08T19:29:07.679966Z", + "iopub.status.idle": "2024-05-08T19:29:07.689706Z", + "shell.execute_reply": "2024-05-08T19:29:07.689031Z" } }, "outputs": [ @@ -554,7 +554,7 @@ "\n" ], "text/plain": [ - "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m We have set the min_value of Powerlaw.K to \u001b[0m\u001b[1;37m1e-99\u001b[0m\u001b[1;38;5;251m because there was a postive \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=169060;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py\u001b\\\u001b[2mparameter.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=921307;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py#704\u001b\\\u001b[2m704\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m\u001b[38;5;46m \u001b[0m\u001b[38;5;134mWARNING \u001b[0m \u001b[1;38;5;251m We have set the min_value of Powerlaw.K to \u001b[0m\u001b[1;37m1e-99\u001b[0m\u001b[1;38;5;251m because there was a postive \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=492791;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py\u001b\\\u001b[2mparameter.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=347444;file:///Users/runner/work/astromodels/astromodels/astromodels/core/parameter.py#704\u001b\\\u001b[2m704\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mtransform \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -613,7 +613,7 @@ }, { "cell_type": "markdown", - "id": "bb904b7e", + "id": "b408fb58", "metadata": {}, "source": [ "## Using physical units\n", @@ -624,13 +624,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "c73b03dd", + "id": "e1ebd33d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.715193Z", - "iopub.status.busy": "2024-05-08T19:19:36.715096Z", - "iopub.status.idle": "2024-05-08T19:19:36.717993Z", - "shell.execute_reply": "2024-05-08T19:19:36.717659Z" + "iopub.execute_input": "2024-05-08T19:29:07.693221Z", + "iopub.status.busy": "2024-05-08T19:29:07.692981Z", + "iopub.status.idle": "2024-05-08T19:29:07.697440Z", + "shell.execute_reply": "2024-05-08T19:29:07.696247Z" } }, "outputs": [], @@ -642,7 +642,7 @@ }, { "cell_type": "markdown", - "id": "6c28cdb0", + "id": "a639079b", "metadata": {}, "source": [ "Now we can see the units" @@ -651,13 +651,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "d7d4fd35", + "id": "61989a47", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.719926Z", - "iopub.status.busy": "2024-05-08T19:19:36.719787Z", - "iopub.status.idle": "2024-05-08T19:19:36.729543Z", - "shell.execute_reply": "2024-05-08T19:19:36.729161Z" + "iopub.execute_input": "2024-05-08T19:29:07.700524Z", + "iopub.status.busy": "2024-05-08T19:29:07.700284Z", + "iopub.status.idle": "2024-05-08T19:29:07.712281Z", + "shell.execute_reply": "2024-05-08T19:29:07.711650Z" } }, "outputs": [ @@ -792,13 +792,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "4a13372c", + "id": "a0148fde", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.731391Z", - "iopub.status.busy": "2024-05-08T19:19:36.731294Z", - "iopub.status.idle": "2024-05-08T19:19:36.740263Z", - "shell.execute_reply": "2024-05-08T19:19:36.739923Z" + "iopub.execute_input": "2024-05-08T19:29:07.715444Z", + "iopub.status.busy": "2024-05-08T19:29:07.715158Z", + "iopub.status.idle": "2024-05-08T19:29:07.719812Z", + "shell.execute_reply": "2024-05-08T19:29:07.718978Z" } }, "outputs": [ @@ -823,13 +823,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "33640e06", + "id": "35ccb9cd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.742103Z", - "iopub.status.busy": "2024-05-08T19:19:36.742006Z", - "iopub.status.idle": "2024-05-08T19:19:36.750601Z", - "shell.execute_reply": "2024-05-08T19:19:36.750263Z" + "iopub.execute_input": "2024-05-08T19:29:07.723132Z", + "iopub.status.busy": "2024-05-08T19:29:07.722907Z", + "iopub.status.idle": "2024-05-08T19:29:07.732808Z", + "shell.execute_reply": "2024-05-08T19:29:07.731947Z" } }, "outputs": [ @@ -854,13 +854,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "f3fa7926", + "id": "6941b272", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.752519Z", - "iopub.status.busy": "2024-05-08T19:19:36.752414Z", - "iopub.status.idle": "2024-05-08T19:19:36.762023Z", - "shell.execute_reply": "2024-05-08T19:19:36.761615Z" + "iopub.execute_input": "2024-05-08T19:29:07.736237Z", + "iopub.status.busy": "2024-05-08T19:29:07.736009Z", + "iopub.status.idle": "2024-05-08T19:29:07.740626Z", + "shell.execute_reply": "2024-05-08T19:29:07.739864Z" } }, "outputs": [ @@ -893,7 +893,7 @@ }, { "cell_type": "markdown", - "id": "fe141e92", + "id": "3cbecf7d", "metadata": {}, "source": [ "We see that astromodels does the unit conversion for us in the background!\n", @@ -904,13 +904,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "1d00f6c0", + "id": "d1678f72", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:36.764075Z", - "iopub.status.busy": "2024-05-08T19:19:36.763961Z", - "iopub.status.idle": "2024-05-08T19:19:41.178727Z", - "shell.execute_reply": "2024-05-08T19:19:41.178279Z" + "iopub.execute_input": "2024-05-08T19:29:07.744455Z", + "iopub.status.busy": "2024-05-08T19:29:07.744220Z", + "iopub.status.idle": "2024-05-08T19:29:12.360886Z", + "shell.execute_reply": "2024-05-08T19:29:12.360196Z" } }, "outputs": [ @@ -918,7 +918,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "5.44 µs ± 169 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" + "5.67 µs ± 41.8 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" ] } ], @@ -929,13 +929,13 @@ { "cell_type": "code", "execution_count": 15, - "id": "8e8b125a", + "id": "cb1927e0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:41.180772Z", - "iopub.status.busy": "2024-05-08T19:19:41.180668Z", - "iopub.status.idle": "2024-05-08T19:19:48.335055Z", - "shell.execute_reply": "2024-05-08T19:19:48.334684Z" + "iopub.execute_input": "2024-05-08T19:29:12.364008Z", + "iopub.status.busy": "2024-05-08T19:29:12.363786Z", + "iopub.status.idle": "2024-05-08T19:29:20.159706Z", + "shell.execute_reply": "2024-05-08T19:29:20.158520Z" } }, "outputs": [ @@ -943,7 +943,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "88.1 µs ± 1.03 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + "96 µs ± 634 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" ] } ], @@ -953,7 +953,7 @@ }, { "cell_type": "markdown", - "id": "2f993eb8", + "id": "a06f3021", "metadata": {}, "source": [ "As you can see using **astropy.units requires about 10x more than using a plain assignment**. In an interactive analysis you are unlikely to notice the difference, but if you use units in a loop or during a fit this slow-down will add up an become very noticeable. **Note that this is a feature of astropy.units, not of astromodels.**" @@ -961,7 +961,7 @@ }, { "cell_type": "markdown", - "id": "d03692a1", + "id": "b3332720", "metadata": {}, "source": [ "## Composing functions\n", @@ -972,13 +972,13 @@ { "cell_type": "code", "execution_count": 16, - "id": "13548a11", + "id": "77e739ae", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.337194Z", - "iopub.status.busy": "2024-05-08T19:19:48.337089Z", - "iopub.status.idle": "2024-05-08T19:19:48.345796Z", - "shell.execute_reply": "2024-05-08T19:19:48.345427Z" + "iopub.execute_input": "2024-05-08T19:29:20.165760Z", + "iopub.status.busy": "2024-05-08T19:29:20.165388Z", + "iopub.status.idle": "2024-05-08T19:29:20.175292Z", + "shell.execute_reply": "2024-05-08T19:29:20.173805Z" } }, "outputs": [ @@ -1000,7 +1000,7 @@ }, { "cell_type": "markdown", - "id": "05924bc0", + "id": "bc0a4734", "metadata": {}, "source": [ "These expressions can be as complex as needed. For example:" @@ -1009,13 +1009,13 @@ { "cell_type": "code", "execution_count": 17, - "id": "c3acf2ed", + "id": "f88f57b6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.347735Z", - "iopub.status.busy": "2024-05-08T19:19:48.347631Z", - "iopub.status.idle": "2024-05-08T19:19:48.358020Z", - "shell.execute_reply": "2024-05-08T19:19:48.357652Z" + "iopub.execute_input": "2024-05-08T19:29:20.179190Z", + "iopub.status.busy": "2024-05-08T19:29:20.178922Z", + "iopub.status.idle": "2024-05-08T19:29:20.185637Z", + "shell.execute_reply": "2024-05-08T19:29:20.184984Z" } }, "outputs": [ @@ -1035,7 +1035,7 @@ }, { "cell_type": "markdown", - "id": "242ae1b9", + "id": "a13c08de", "metadata": {}, "source": [ "The numbers between ```{}``` enumerate the unique functions which constitute a composite function. This is useful because composite functions can be created starting from pre-existing instances of functions, in which case the same instance can be used more than once. For example:" @@ -1044,13 +1044,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "3bb8dd81", + "id": "21c511d9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.359984Z", - "iopub.status.busy": "2024-05-08T19:19:48.359885Z", - "iopub.status.idle": "2024-05-08T19:19:48.363457Z", - "shell.execute_reply": "2024-05-08T19:19:48.363089Z" + "iopub.execute_input": "2024-05-08T19:29:20.189199Z", + "iopub.status.busy": "2024-05-08T19:29:20.188920Z", + "iopub.status.idle": "2024-05-08T19:29:20.194652Z", + "shell.execute_reply": "2024-05-08T19:29:20.193952Z" } }, "outputs": [ @@ -1073,7 +1073,7 @@ }, { "cell_type": "markdown", - "id": "f7d53951", + "id": "6b89d0ab", "metadata": {}, "source": [ "In this case the same instance of a power law has been used twice. Changing the value of the parameters for “a_powerlaw” will affect also the second part of the expression. Instead, by doing this:" @@ -1082,13 +1082,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "3dc531cd", + "id": "4828223f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.365359Z", - "iopub.status.busy": "2024-05-08T19:19:48.365227Z", - "iopub.status.idle": "2024-05-08T19:19:48.375271Z", - "shell.execute_reply": "2024-05-08T19:19:48.374885Z" + "iopub.execute_input": "2024-05-08T19:29:20.197926Z", + "iopub.status.busy": "2024-05-08T19:29:20.197711Z", + "iopub.status.idle": "2024-05-08T19:29:20.209964Z", + "shell.execute_reply": "2024-05-08T19:29:20.209252Z" } }, "outputs": [ @@ -1108,7 +1108,7 @@ }, { "cell_type": "markdown", - "id": "30de0493", + "id": "3c0fbca2", "metadata": {}, "source": [ "we will end up with two independent sets of parameters for the two power laws. The difference can be seen immediately from the number of parameters of the two composite functions:" @@ -1117,13 +1117,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "0eebcbd1", + "id": "05d62718", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.377156Z", - "iopub.status.busy": "2024-05-08T19:19:48.377060Z", - "iopub.status.idle": "2024-05-08T19:19:48.385179Z", - "shell.execute_reply": "2024-05-08T19:19:48.384837Z" + "iopub.execute_input": "2024-05-08T19:29:20.213378Z", + "iopub.status.busy": "2024-05-08T19:29:20.213158Z", + "iopub.status.idle": "2024-05-08T19:29:20.216368Z", + "shell.execute_reply": "2024-05-08T19:29:20.215708Z" } }, "outputs": [ @@ -1143,7 +1143,7 @@ }, { "cell_type": "markdown", - "id": "d3f320ca", + "id": "5a3f2363", "metadata": {}, "source": [ "## Creating custom functions\n", @@ -1156,13 +1156,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "3f91e4f3", + "id": "47a3dc72", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.387091Z", - "iopub.status.busy": "2024-05-08T19:19:48.386988Z", - "iopub.status.idle": "2024-05-08T19:19:48.394913Z", - "shell.execute_reply": "2024-05-08T19:19:48.394558Z" + "iopub.execute_input": "2024-05-08T19:29:20.220250Z", + "iopub.status.busy": "2024-05-08T19:29:20.220032Z", + "iopub.status.idle": "2024-05-08T19:29:20.222964Z", + "shell.execute_reply": "2024-05-08T19:29:20.222207Z" } }, "outputs": [], @@ -1172,7 +1172,7 @@ }, { "cell_type": "markdown", - "id": "19038893", + "id": "57c47adf", "metadata": {}, "source": [ "```Function1D``` is the base class for 1D spectral models and ```FunctionMeta``` is a python meta type class that ensures all the needed parts of a model are in the class as well as making the class function as it should.\n", @@ -1238,7 +1238,7 @@ }, { "cell_type": "markdown", - "id": "d5425b53", + "id": "3d1b23e9", "metadata": {}, "source": [ "### The docstring\n", @@ -1281,13 +1281,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "45c48a93", + "id": "e8b2f676", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.396791Z", - "iopub.status.busy": "2024-05-08T19:19:48.396694Z", - "iopub.status.idle": "2024-05-08T19:19:48.404574Z", - "shell.execute_reply": "2024-05-08T19:19:48.404193Z" + "iopub.execute_input": "2024-05-08T19:29:20.226634Z", + "iopub.status.busy": "2024-05-08T19:29:20.226383Z", + "iopub.status.idle": "2024-05-08T19:29:20.229527Z", + "shell.execute_reply": "2024-05-08T19:29:20.228826Z" } }, "outputs": [], @@ -1303,13 +1303,13 @@ { "cell_type": "code", "execution_count": 23, - "id": "66b36e83", + "id": "b84ee696", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.406469Z", - "iopub.status.busy": "2024-05-08T19:19:48.406360Z", - "iopub.status.idle": "2024-05-08T19:19:48.409000Z", - "shell.execute_reply": "2024-05-08T19:19:48.408628Z" + "iopub.execute_input": "2024-05-08T19:29:20.232940Z", + "iopub.status.busy": "2024-05-08T19:29:20.232699Z", + "iopub.status.idle": "2024-05-08T19:29:20.237696Z", + "shell.execute_reply": "2024-05-08T19:29:20.236174Z" } }, "outputs": [ @@ -1330,7 +1330,7 @@ }, { "cell_type": "markdown", - "id": "c4cb64b4", + "id": "82efb9f5", "metadata": {}, "source": [ "Now we will define a astromodels function that will handle both the unit and non-unit call." @@ -1339,13 +1339,13 @@ { "cell_type": "code", "execution_count": 24, - "id": "42843f10", + "id": "b125a1f8", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.411084Z", - "iopub.status.busy": "2024-05-08T19:19:48.410947Z", - "iopub.status.idle": "2024-05-08T19:19:48.421348Z", - "shell.execute_reply": "2024-05-08T19:19:48.420975Z" + "iopub.execute_input": "2024-05-08T19:29:20.240992Z", + "iopub.status.busy": "2024-05-08T19:29:20.240745Z", + "iopub.status.idle": "2024-05-08T19:29:20.246558Z", + "shell.execute_reply": "2024-05-08T19:29:20.245767Z" } }, "outputs": [], @@ -1403,7 +1403,7 @@ }, { "cell_type": "markdown", - "id": "dfe78c8f", + "id": "e7e5157b", "metadata": {}, "source": [ "We can check the unit and non-unit call by making a point source and evaluating it" @@ -1412,13 +1412,13 @@ { "cell_type": "code", "execution_count": 25, - "id": "6c01d5a9", + "id": "a94401ab", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.423375Z", - "iopub.status.busy": "2024-05-08T19:19:48.423270Z", - "iopub.status.idle": "2024-05-08T19:19:48.866972Z", - "shell.execute_reply": "2024-05-08T19:19:48.866558Z" + "iopub.execute_input": "2024-05-08T19:29:20.250025Z", + "iopub.status.busy": "2024-05-08T19:29:20.249815Z", + "iopub.status.idle": "2024-05-08T19:29:20.785518Z", + "shell.execute_reply": "2024-05-08T19:29:20.784469Z" } }, "outputs": [ @@ -1456,7 +1456,7 @@ }, { "cell_type": "markdown", - "id": "fa777831", + "id": "0e1ab55d", "metadata": {}, "source": [ "## Advanced functions\n", @@ -1470,13 +1470,13 @@ { "cell_type": "code", "execution_count": 26, - "id": "3c9d21fd", + "id": "af8d33ce", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.869021Z", - "iopub.status.busy": "2024-05-08T19:19:48.868912Z", - "iopub.status.idle": "2024-05-08T19:19:48.879383Z", - "shell.execute_reply": "2024-05-08T19:19:48.879022Z" + "iopub.execute_input": "2024-05-08T19:29:20.789169Z", + "iopub.status.busy": "2024-05-08T19:29:20.788895Z", + "iopub.status.idle": "2024-05-08T19:29:20.795023Z", + "shell.execute_reply": "2024-05-08T19:29:20.794195Z" } }, "outputs": [], @@ -1530,7 +1530,7 @@ }, { "cell_type": "markdown", - "id": "3377c8fa", + "id": "24500282", "metadata": {}, "source": [ "We have added a text parameter called switch and specified the allowed values that it can take on. We can of course allow it to take on any value. Additionally, we have specified a function to call whenever we change the value. This allows use to do things like read in a table from a dictionary or load a file, etc. Properties can be set in the constructor of a function. They behave just like parameters except that they do not participate in the function call. Thus, their state is saved whenever you serialize the model to disk. " @@ -1539,13 +1539,13 @@ { "cell_type": "code", "execution_count": 27, - "id": "f9273741", + "id": "5952cb24", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.881326Z", - "iopub.status.busy": "2024-05-08T19:19:48.881221Z", - "iopub.status.idle": "2024-05-08T19:19:48.883639Z", - "shell.execute_reply": "2024-05-08T19:19:48.883258Z" + "iopub.execute_input": "2024-05-08T19:29:20.799040Z", + "iopub.status.busy": "2024-05-08T19:29:20.798826Z", + "iopub.status.idle": "2024-05-08T19:29:20.802394Z", + "shell.execute_reply": "2024-05-08T19:29:20.801485Z" }, "lines_to_next_cell": 2 }, @@ -1569,7 +1569,7 @@ }, { "cell_type": "markdown", - "id": "1d87f5ab", + "id": "86f6b97e", "metadata": {}, "source": [ "In the docstring, one can also specify ```defer: True``` which allows you to not set a value until instancing an object. This is useful if you have a model that reads in file at runtime, but the file name is not known until then. Check out the source code of astromodels to see how properties can be used to expand the functionality of your custom models. For example, the absorption models such as ```TbAbs``` take advantage of this to set their abundance tables.\n", @@ -1582,13 +1582,13 @@ { "cell_type": "code", "execution_count": 28, - "id": "8dbf3c4f", + "id": "825bb018", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.885662Z", - "iopub.status.busy": "2024-05-08T19:19:48.885530Z", - "iopub.status.idle": "2024-05-08T19:19:48.889403Z", - "shell.execute_reply": "2024-05-08T19:19:48.889000Z" + "iopub.execute_input": "2024-05-08T19:29:20.806178Z", + "iopub.status.busy": "2024-05-08T19:29:20.805960Z", + "iopub.status.idle": "2024-05-08T19:29:20.811393Z", + "shell.execute_reply": "2024-05-08T19:29:20.810652Z" } }, "outputs": [], @@ -1658,7 +1658,7 @@ }, { "cell_type": "markdown", - "id": "1661826e", + "id": "761e4dbf", "metadata": {}, "source": [ "With this function, whenever we set the linked_function property to another astromodels function, its call will return that function redshifted." @@ -1667,13 +1667,13 @@ { "cell_type": "code", "execution_count": 29, - "id": "fbc1eb2b", + "id": "6f655e09", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:48.891345Z", - "iopub.status.busy": "2024-05-08T19:19:48.891250Z", - "iopub.status.idle": "2024-05-08T19:19:49.001845Z", - "shell.execute_reply": "2024-05-08T19:19:49.001453Z" + "iopub.execute_input": "2024-05-08T19:29:20.814753Z", + "iopub.status.busy": "2024-05-08T19:29:20.814508Z", + "iopub.status.idle": "2024-05-08T19:29:20.944815Z", + "shell.execute_reply": "2024-05-08T19:29:20.943560Z" }, "lines_to_next_cell": 2 }, @@ -1701,7 +1701,7 @@ }, { "cell_type": "markdown", - "id": "d891af41", + "id": "38649a4b", "metadata": {}, "source": [ "We have added a lot of syntax sugar to make it easier for users to handle the function, but every function in astromodels has the members ```f.link_external_function(func, 'internal_name')``` and ```f.unlink_external_function('internal_name')```. You can link as many functions as needed and they are accessed via an internal dictionary ```self._extranal_functions```. As long as all functions used are part of the model, all the linking is saved when a model is saved to disk allowing you to restore all the complexity you built. " diff --git a/notebooks/Gamma.ipynb b/notebooks/Gamma.ipynb index 79368dc5..84cc9795 100644 --- a/notebooks/Gamma.ipynb +++ b/notebooks/Gamma.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "4b17002e", + "id": "55b949a5", "metadata": { "papermill": { - "duration": 0.0085, - "end_time": "2024-05-08T19:22:57.680598", + "duration": 0.006471, + "end_time": "2024-05-08T19:33:04.844456", "exception": false, - "start_time": "2024-05-08T19:22:57.672098", + "start_time": "2024-05-08T19:33:04.837985", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "9acf5757", + "id": "4d1b16d1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:57.693590Z", - "iopub.status.busy": "2024-05-08T19:22:57.692870Z", - "iopub.status.idle": "2024-05-08T19:22:59.106281Z", - "shell.execute_reply": "2024-05-08T19:22:59.105651Z" + "iopub.execute_input": "2024-05-08T19:33:04.856633Z", + "iopub.status.busy": "2024-05-08T19:33:04.855918Z", + "iopub.status.idle": "2024-05-08T19:33:06.512362Z", + "shell.execute_reply": "2024-05-08T19:33:06.511604Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.421726, - "end_time": "2024-05-08T19:22:59.108121", + "duration": 1.666416, + "end_time": "2024-05-08T19:33:06.514325", "exception": false, - "start_time": "2024-05-08T19:22:57.686395", + "start_time": "2024-05-08T19:33:04.847909", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "b7d3d09d", + "id": "8a6b2c56", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.111615Z", - "iopub.status.busy": "2024-05-08T19:22:59.111231Z", - "iopub.status.idle": "2024-05-08T19:22:59.119774Z", - "shell.execute_reply": "2024-05-08T19:22:59.119302Z" + "iopub.execute_input": "2024-05-08T19:33:06.517936Z", + "iopub.status.busy": "2024-05-08T19:33:06.517537Z", + "iopub.status.idle": "2024-05-08T19:33:06.525208Z", + "shell.execute_reply": "2024-05-08T19:33:06.524706Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011849, - "end_time": "2024-05-08T19:22:59.121297", + "duration": 0.011071, + "end_time": "2024-05-08T19:33:06.526775", "exception": false, - "start_time": "2024-05-08T19:22:59.109448", + "start_time": "2024-05-08T19:33:06.515704", "status": "completed" }, "tags": [ @@ -90,19 +90,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "3683dfd7", + "id": "416c021c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.124510Z", - "iopub.status.busy": "2024-05-08T19:22:59.124311Z", - "iopub.status.idle": "2024-05-08T19:22:59.126478Z", - "shell.execute_reply": "2024-05-08T19:22:59.126046Z" + "iopub.execute_input": "2024-05-08T19:33:06.529985Z", + "iopub.status.busy": "2024-05-08T19:33:06.529795Z", + "iopub.status.idle": "2024-05-08T19:33:06.538165Z", + "shell.execute_reply": "2024-05-08T19:33:06.537579Z" }, "papermill": { - "duration": 0.005278, - "end_time": "2024-05-08T19:22:59.127906", + "duration": 0.012404, + "end_time": "2024-05-08T19:33:06.540453", "exception": false, - "start_time": "2024-05-08T19:22:59.122628", + "start_time": "2024-05-08T19:33:06.528049", "status": "completed" }, "tags": [ @@ -119,21 +119,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "6e8d14cf", + "id": "a1edcce6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.130960Z", - "iopub.status.busy": "2024-05-08T19:22:59.130780Z", - "iopub.status.idle": "2024-05-08T19:22:59.134600Z", - "shell.execute_reply": "2024-05-08T19:22:59.133991Z" + "iopub.execute_input": "2024-05-08T19:33:06.544231Z", + "iopub.status.busy": "2024-05-08T19:33:06.544025Z", + "iopub.status.idle": "2024-05-08T19:33:06.553630Z", + "shell.execute_reply": "2024-05-08T19:33:06.553033Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.0071, - "end_time": "2024-05-08T19:22:59.136182", + "duration": 0.013183, + "end_time": "2024-05-08T19:33:06.555241", "exception": false, - "start_time": "2024-05-08T19:22:59.129082", + "start_time": "2024-05-08T19:33:06.542058", "status": "completed" }, "tags": [] @@ -160,14 +160,14 @@ }, { "cell_type": "markdown", - "id": "4e79894f", + "id": "9f5ac2a9", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.00122, - "end_time": "2024-05-08T19:22:59.138680", + "duration": 0.001095, + "end_time": "2024-05-08T19:33:06.557689", "exception": false, - "start_time": "2024-05-08T19:22:59.137460", + "start_time": "2024-05-08T19:33:06.556594", "status": "completed" }, "tags": [] @@ -179,19 +179,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "0a02b96d", + "id": "14d2d32c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.142065Z", - "iopub.status.busy": "2024-05-08T19:22:59.141792Z", - "iopub.status.idle": "2024-05-08T19:22:59.151103Z", - "shell.execute_reply": "2024-05-08T19:22:59.150410Z" + "iopub.execute_input": "2024-05-08T19:33:06.560877Z", + "iopub.status.busy": "2024-05-08T19:33:06.560673Z", + "iopub.status.idle": "2024-05-08T19:33:06.565376Z", + "shell.execute_reply": "2024-05-08T19:33:06.564958Z" }, "papermill": { - "duration": 0.013196, - "end_time": "2024-05-08T19:22:59.152962", + "duration": 0.008152, + "end_time": "2024-05-08T19:33:06.566882", "exception": false, - "start_time": "2024-05-08T19:22:59.139766", + "start_time": "2024-05-08T19:33:06.558730", "status": "completed" }, "tags": [] @@ -295,13 +295,13 @@ }, { "cell_type": "markdown", - "id": "fbd0e271", + "id": "1ee5e1ad", "metadata": { "papermill": { - "duration": 0.00128, - "end_time": "2024-05-08T19:22:59.155712", + "duration": 0.001386, + "end_time": "2024-05-08T19:33:06.569719", "exception": false, - "start_time": "2024-05-08T19:22:59.154432", + "start_time": "2024-05-08T19:33:06.568333", "status": "completed" }, "tags": [] @@ -317,19 +317,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "c5b2f974", + "id": "88c745cc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.159307Z", - "iopub.status.busy": "2024-05-08T19:22:59.159119Z", - "iopub.status.idle": "2024-05-08T19:22:59.283549Z", - "shell.execute_reply": "2024-05-08T19:22:59.282474Z" + "iopub.execute_input": "2024-05-08T19:33:06.573138Z", + "iopub.status.busy": "2024-05-08T19:33:06.572928Z", + "iopub.status.idle": "2024-05-08T19:33:06.702851Z", + "shell.execute_reply": "2024-05-08T19:33:06.701919Z" }, "papermill": { - "duration": 0.130302, - "end_time": "2024-05-08T19:22:59.287390", + "duration": 0.133434, + "end_time": "2024-05-08T19:33:06.704401", "exception": false, - "start_time": "2024-05-08T19:22:59.157088", + "start_time": "2024-05-08T19:33:06.570967", "status": "completed" }, "tags": [ @@ -370,13 +370,13 @@ }, { "cell_type": "markdown", - "id": "9b14d974", + "id": "266d686e", "metadata": { "papermill": { - "duration": 0.002426, - "end_time": "2024-05-08T19:22:59.292302", + "duration": 0.001589, + "end_time": "2024-05-08T19:33:06.707719", "exception": false, - "start_time": "2024-05-08T19:22:59.289876", + "start_time": "2024-05-08T19:33:06.706130", "status": "completed" }, "tags": [] @@ -390,19 +390,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "57e1552e", + "id": "4a87fe0a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:59.296277Z", - "iopub.status.busy": "2024-05-08T19:22:59.296091Z", - "iopub.status.idle": "2024-05-08T19:22:59.683904Z", - "shell.execute_reply": "2024-05-08T19:22:59.683380Z" + "iopub.execute_input": "2024-05-08T19:33:06.711842Z", + "iopub.status.busy": "2024-05-08T19:33:06.711402Z", + "iopub.status.idle": "2024-05-08T19:33:07.125795Z", + "shell.execute_reply": "2024-05-08T19:33:07.125332Z" }, "papermill": { - "duration": 0.391674, - "end_time": "2024-05-08T19:22:59.685405", + "duration": 0.41847, + "end_time": "2024-05-08T19:33:07.127626", "exception": false, - "start_time": "2024-05-08T19:22:59.293731", + "start_time": "2024-05-08T19:33:06.709156", "status": "completed" }, "tags": [] @@ -420,7 +420,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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" ] @@ -471,8 +471,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.900164, - "end_time": "2024-05-08T19:23:00.014704", + "duration": 3.344878, + "end_time": "2024-05-08T19:33:07.572031", "environment_variables": {}, "exception": null, "input_path": "Gamma.ipynb", @@ -481,7 +481,7 @@ "func_name": "Gamma", "positive_prior": true }, - "start_time": "2024-05-08T19:22:57.114540", + "start_time": "2024-05-08T19:33:04.227153", "version": "2.6.0" } }, diff --git a/notebooks/Gaussian.ipynb b/notebooks/Gaussian.ipynb index 224811d1..d4f68083 100644 --- a/notebooks/Gaussian.ipynb +++ b/notebooks/Gaussian.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "8d5901f9", + "id": "1aab7ea7", "metadata": { "papermill": { - "duration": 0.001878, - "end_time": "2024-05-08T19:22:31.165576", + "duration": 0.005833, + "end_time": "2024-05-08T19:32:34.435233", "exception": false, - "start_time": "2024-05-08T19:22:31.163698", + "start_time": "2024-05-08T19:32:34.429400", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "6e3e80cf", + "id": "a169a0a2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:31.169171Z", - "iopub.status.busy": "2024-05-08T19:22:31.168950Z", - "iopub.status.idle": "2024-05-08T19:22:32.865319Z", - "shell.execute_reply": "2024-05-08T19:22:32.864639Z" + "iopub.execute_input": "2024-05-08T19:32:34.444092Z", + "iopub.status.busy": "2024-05-08T19:32:34.443286Z", + "iopub.status.idle": "2024-05-08T19:32:36.568919Z", + "shell.execute_reply": "2024-05-08T19:32:36.568046Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.700395, - "end_time": "2024-05-08T19:22:32.867238", + "duration": 2.133296, + "end_time": "2024-05-08T19:32:36.571794", "exception": false, - "start_time": "2024-05-08T19:22:31.166843", + "start_time": "2024-05-08T19:32:34.438498", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - 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+ "start_time": "2024-05-08T19:32:36.607617", "status": "completed" }, "tags": [] @@ -179,19 +179,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "792b9409", + "id": "be8a8ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:32.908401Z", - "iopub.status.busy": "2024-05-08T19:22:32.908197Z", - "iopub.status.idle": "2024-05-08T19:22:32.920536Z", - "shell.execute_reply": "2024-05-08T19:22:32.919948Z" + "iopub.execute_input": "2024-05-08T19:32:36.613516Z", + "iopub.status.busy": "2024-05-08T19:32:36.613134Z", + "iopub.status.idle": "2024-05-08T19:32:36.625707Z", + "shell.execute_reply": "2024-05-08T19:32:36.625029Z" }, "papermill": { - "duration": 0.016672, - "end_time": "2024-05-08T19:22:32.922232", + "duration": 0.017311, + "end_time": "2024-05-08T19:32:36.627905", "exception": false, - "start_time": "2024-05-08T19:22:32.905560", + "start_time": "2024-05-08T19:32:36.610594", "status": "completed" }, "tags": [] @@ -327,13 +327,13 @@ }, { "cell_type": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -503,8 +503,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.070057, - "end_time": "2024-05-08T19:22:33.607396", + "duration": 3.941952, + "end_time": "2024-05-08T19:32:37.572785", "environment_variables": {}, "exception": null, "input_path": "Gaussian.ipynb", @@ -513,7 +513,7 @@ "func_name": "Gaussian", "positive_prior": false }, - "start_time": "2024-05-08T19:22:30.537339", + "start_time": "2024-05-08T19:32:33.630833", "version": "2.6.0" } }, diff --git a/notebooks/Gaussian_on_sphere.ipynb b/notebooks/Gaussian_on_sphere.ipynb index 15b81cdd..d2d49289 100644 --- a/notebooks/Gaussian_on_sphere.ipynb +++ b/notebooks/Gaussian_on_sphere.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "0582d008", + "id": "3d205171", "metadata": { "papermill": { - "duration": 0.001927, - "end_time": "2024-05-08T19:22:12.462098", + "duration": 0.004093, + "end_time": "2024-05-08T19:32:14.408306", "exception": false, - "start_time": "2024-05-08T19:22:12.460171", + "start_time": "2024-05-08T19:32:14.404213", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f1c067fc", + "id": "be001410", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:12.466084Z", - "iopub.status.busy": "2024-05-08T19:22:12.465815Z", - "iopub.status.idle": "2024-05-08T19:22:14.682728Z", - "shell.execute_reply": "2024-05-08T19:22:14.681692Z" + "iopub.execute_input": "2024-05-08T19:32:14.416699Z", + "iopub.status.busy": "2024-05-08T19:32:14.416240Z", + "iopub.status.idle": "2024-05-08T19:32:16.728872Z", + "shell.execute_reply": "2024-05-08T19:32:16.727995Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 2.222178, - "end_time": "2024-05-08T19:22:14.685725", + "duration": 2.322441, + "end_time": "2024-05-08T19:32:16.733916", "exception": false, - "start_time": "2024-05-08T19:22:12.463547", + "start_time": "2024-05-08T19:32:14.411475", "status": "completed" }, "tags": [] @@ -68,20 +68,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "5c1322ca", + "id": "099a88ac", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:14.690450Z", - "iopub.status.busy": "2024-05-08T19:22:14.689937Z", - "iopub.status.idle": "2024-05-08T19:22:14.693905Z", - "shell.execute_reply": "2024-05-08T19:22:14.692864Z" + "iopub.execute_input": "2024-05-08T19:32:16.743247Z", + "iopub.status.busy": "2024-05-08T19:32:16.742232Z", + "iopub.status.idle": "2024-05-08T19:32:16.748289Z", + "shell.execute_reply": "2024-05-08T19:32:16.746545Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.00852, - "end_time": "2024-05-08T19:22:14.695956", + "duration": 0.014301, + "end_time": "2024-05-08T19:32:16.751989", "exception": false, - "start_time": "2024-05-08T19:22:14.687436", + "start_time": "2024-05-08T19:32:16.737688", "status": "completed" }, "tags": [ @@ -96,19 +96,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "7896ac6c", + "id": "ee295981", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:14.699716Z", - "iopub.status.busy": "2024-05-08T19:22:14.699425Z", - "iopub.status.idle": "2024-05-08T19:22:14.706575Z", - "shell.execute_reply": "2024-05-08T19:22:14.705623Z" + "iopub.execute_input": "2024-05-08T19:32:16.759477Z", + "iopub.status.busy": "2024-05-08T19:32:16.758638Z", + "iopub.status.idle": "2024-05-08T19:32:16.768294Z", + "shell.execute_reply": "2024-05-08T19:32:16.766272Z" }, "papermill": { - "duration": 0.012233, - "end_time": "2024-05-08T19:22:14.709436", + "duration": 0.018539, + "end_time": "2024-05-08T19:32:16.772700", "exception": false, - "start_time": "2024-05-08T19:22:14.697203", + "start_time": "2024-05-08T19:32:16.754161", "status": "completed" }, "tags": [ @@ -124,21 +124,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "cf193d00", + "id": "333f81af", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:14.714198Z", - "iopub.status.busy": "2024-05-08T19:22:14.713905Z", - "iopub.status.idle": "2024-05-08T19:22:14.725294Z", - "shell.execute_reply": "2024-05-08T19:22:14.724588Z" + "iopub.execute_input": "2024-05-08T19:32:16.779965Z", + "iopub.status.busy": "2024-05-08T19:32:16.779380Z", + "iopub.status.idle": "2024-05-08T19:32:16.805066Z", + "shell.execute_reply": "2024-05-08T19:32:16.803714Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.016598, - "end_time": "2024-05-08T19:22:14.727670", + "duration": 0.033183, + "end_time": "2024-05-08T19:32:16.808530", "exception": false, - "start_time": "2024-05-08T19:22:14.711072", + "start_time": "2024-05-08T19:32:16.775347", "status": "completed" }, "tags": [] @@ -155,14 +155,14 @@ }, { "cell_type": "markdown", - "id": "2034ab67", + "id": "70a6107f", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001282, - "end_time": "2024-05-08T19:22:14.730357", + "duration": 0.002837, + "end_time": "2024-05-08T19:32:16.814689", "exception": false, - "start_time": 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+327,14 @@ }, { "cell_type": "markdown", - "id": "cb57fdda", + "id": "636e84e3", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001364, - "end_time": "2024-05-08T19:22:14.747693", + "duration": 0.002177, + "end_time": "2024-05-08T19:32:16.841903", "exception": false, - "start_time": "2024-05-08T19:22:14.746329", + "start_time": "2024-05-08T19:32:16.839726", "status": "completed" }, "tags": [] @@ -348,19 +348,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "0efd6a60", + "id": "88fe923a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:14.751733Z", - "iopub.status.busy": "2024-05-08T19:22:14.751498Z", - "iopub.status.idle": "2024-05-08T19:22:15.016165Z", - "shell.execute_reply": "2024-05-08T19:22:15.015729Z" + "iopub.execute_input": "2024-05-08T19:32:16.849689Z", + "iopub.status.busy": "2024-05-08T19:32:16.849330Z", + "iopub.status.idle": "2024-05-08T19:32:17.147361Z", + "shell.execute_reply": "2024-05-08T19:32:17.146843Z" }, 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+155,14 @@ }, { "cell_type": "markdown", - "id": "032a44d7", + "id": "6d95ec1e", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.0017, - "end_time": "2024-05-08T19:22:10.853282", + "duration": 0.001307, + "end_time": "2024-05-08T19:32:12.401664", "exception": false, - "start_time": "2024-05-08T19:22:10.851582", + "start_time": "2024-05-08T19:32:12.400357", "status": "completed" }, "tags": [] @@ -174,19 +174,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "f372ebf5", + "id": "8598cdbe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:10.858923Z", - "iopub.status.busy": "2024-05-08T19:22:10.858697Z", - "iopub.status.idle": "2024-05-08T19:22:10.866504Z", - "shell.execute_reply": "2024-05-08T19:22:10.865094Z" + "iopub.execute_input": "2024-05-08T19:32:12.407384Z", + "iopub.status.busy": "2024-05-08T19:32:12.406960Z", + "iopub.status.idle": "2024-05-08T19:32:12.417022Z", + "shell.execute_reply": "2024-05-08T19:32:12.414832Z" }, 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"2024-05-08T19:22:08.488735", + "start_time": "2024-05-08T19:32:09.369804", "version": "2.6.0" } }, diff --git a/notebooks/Line.ipynb b/notebooks/Line.ipynb index 10f00ee9..0138cabf 100644 --- a/notebooks/Line.ipynb +++ b/notebooks/Line.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "9ff6b873", + "id": "53966ddd", "metadata": { "papermill": { - "duration": 0.010656, - "end_time": "2024-05-08T19:21:00.525350", + "duration": 0.007842, + "end_time": "2024-05-08T19:30:48.563462", "exception": false, - "start_time": "2024-05-08T19:21:00.514694", + "start_time": "2024-05-08T19:30:48.555620", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "b72e8dc6", + "id": "e6ae36fc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:00.539269Z", - "iopub.status.busy": "2024-05-08T19:21:00.538632Z", - "iopub.status.idle": "2024-05-08T19:21:01.946676Z", - "shell.execute_reply": 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"tags": [] @@ -327,19 +327,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "d4b355eb", + "id": "fb0fb54e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:02.001427Z", - "iopub.status.busy": "2024-05-08T19:21:02.001283Z", - "iopub.status.idle": "2024-05-08T19:21:02.103953Z", - "shell.execute_reply": "2024-05-08T19:21:02.103571Z" + "iopub.execute_input": "2024-05-08T19:30:50.422822Z", + "iopub.status.busy": "2024-05-08T19:30:50.422591Z", + "iopub.status.idle": "2024-05-08T19:30:50.555501Z", + "shell.execute_reply": "2024-05-08T19:30:50.555165Z" }, "papermill": { - "duration": 0.105563, - "end_time": "2024-05-08T19:21:02.105196", + "duration": 0.137523, + "end_time": "2024-05-08T19:30:50.557756", "exception": false, - "start_time": "2024-05-08T19:21:01.999633", + "start_time": "2024-05-08T19:30:50.420233", "status": "completed" }, "tags": [ @@ -372,14 +372,14 @@ }, { "cell_type": "markdown", - "id": "c60f8d86", + "id": "5c7eaf16", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001423, - "end_time": "2024-05-08T19:21:02.108298", + "duration": 0.004371, + "end_time": "2024-05-08T19:30:50.566917", "exception": false, - "start_time": "2024-05-08T19:21:02.106875", + "start_time": "2024-05-08T19:30:50.562546", "status": "completed" }, "tags": [] @@ -394,19 +394,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "a7dbb0fd", + "id": "a4243321", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:02.112085Z", - "iopub.status.busy": "2024-05-08T19:21:02.111942Z", - "iopub.status.idle": "2024-05-08T19:21:02.269684Z", - "shell.execute_reply": "2024-05-08T19:21:02.266108Z" + "iopub.execute_input": "2024-05-08T19:30:50.572475Z", + "iopub.status.busy": "2024-05-08T19:30:50.572191Z", + "iopub.status.idle": "2024-05-08T19:30:50.791377Z", + "shell.execute_reply": "2024-05-08T19:30:50.790394Z" }, "papermill": { - "duration": 0.161647, - "end_time": "2024-05-08T19:21:02.271318", + "duration": 0.225774, + "end_time": "2024-05-08T19:30:50.794969", "exception": false, - "start_time": "2024-05-08T19:21:02.109671", + "start_time": "2024-05-08T19:30:50.569195", "status": "completed" }, "tags": [] @@ -438,13 +438,13 @@ }, { "cell_type": "markdown", - "id": "5e43638f", + "id": "a17185ff", "metadata": { "papermill": { - "duration": 0.001645, - "end_time": "2024-05-08T19:21:02.274764", + "duration": 0.002065, + "end_time": "2024-05-08T19:30:50.802182", "exception": false, - "start_time": "2024-05-08T19:21:02.273119", + "start_time": "2024-05-08T19:30:50.800117", "status": "completed" }, "tags": [] @@ -459,19 +459,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "eb529b6c", + "id": "58a250ec", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:02.278909Z", - "iopub.status.busy": "2024-05-08T19:21:02.278760Z", - "iopub.status.idle": "2024-05-08T19:21:02.372737Z", - "shell.execute_reply": "2024-05-08T19:21:02.372344Z" + "iopub.execute_input": "2024-05-08T19:30:50.807974Z", + "iopub.status.busy": "2024-05-08T19:30:50.807515Z", + "iopub.status.idle": "2024-05-08T19:30:50.951865Z", + "shell.execute_reply": "2024-05-08T19:30:50.950802Z" }, "papermill": { - "duration": 0.097633, - "end_time": "2024-05-08T19:21:02.374046", + "duration": 0.151302, + "end_time": "2024-05-08T19:30:50.955251", "exception": false, - "start_time": "2024-05-08T19:21:02.276413", + "start_time": "2024-05-08T19:30:50.803949", "status": "completed" }, "tags": [] @@ -524,8 +524,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.76095, - "end_time": "2024-05-08T19:21:02.708481", + "duration": 3.494022, + "end_time": "2024-05-08T19:30:51.512429", "environment_variables": {}, "exception": null, "input_path": "Line.ipynb", @@ -537,7 +537,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:20:59.947531", + "start_time": "2024-05-08T19:30:48.018407", "version": "2.6.0" } }, diff --git a/notebooks/Log_normal.ipynb b/notebooks/Log_normal.ipynb index 8f8cebe5..2f2120a1 100644 --- a/notebooks/Log_normal.ipynb +++ b/notebooks/Log_normal.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "ac1eec2b", + "id": "94418484", "metadata": { "papermill": { - "duration": 0.011028, - "end_time": "2024-05-08T19:22:45.999550", + "duration": 0.008573, + "end_time": "2024-05-08T19:32:49.670020", "exception": false, - "start_time": "2024-05-08T19:22:45.988522", + "start_time": "2024-05-08T19:32:49.661447", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "bf67ade0", + "id": "51ca3690", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:46.015452Z", - "iopub.status.busy": "2024-05-08T19:22:46.014702Z", - "iopub.status.idle": "2024-05-08T19:22:47.589537Z", - "shell.execute_reply": "2024-05-08T19:22:47.588726Z" + "iopub.execute_input": "2024-05-08T19:32:49.685623Z", + "iopub.status.busy": "2024-05-08T19:32:49.684949Z", + 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", 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", "text/plain": [ "
" ] @@ -536,8 +536,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.933862, - "end_time": "2024-05-08T19:22:48.352676", + "duration": 3.875627, + "end_time": "2024-05-08T19:32:52.744491", "environment_variables": {}, "exception": null, "input_path": "Log_normal.ipynb", @@ -546,7 +546,7 @@ "func_name": "Log_normal", "positive_prior": true }, - "start_time": "2024-05-08T19:22:45.418814", + "start_time": "2024-05-08T19:32:48.868864", "version": "2.6.0" } }, diff --git a/notebooks/Log_parabola.ipynb b/notebooks/Log_parabola.ipynb index 96be01e5..efaf7de7 100644 --- a/notebooks/Log_parabola.ipynb +++ b/notebooks/Log_parabola.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "3679d687", + "id": "10dbefc5", "metadata": { "papermill": { - "duration": 0.01064, - "end_time": "2024-05-08T19:20:32.236973", + "duration": 0.004977, + "end_time": "2024-05-08T19:30:13.573469", "exception": false, - "start_time": "2024-05-08T19:20:32.226333", + "start_time": 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4.171132, + "end_time": "2024-05-08T19:30:16.991967", "environment_variables": {}, "exception": null, "input_path": "Log_parabola.ipynb", @@ -605,7 +605,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:31.547224", + "start_time": "2024-05-08T19:30:12.820835", "version": "2.6.0" } }, diff --git a/notebooks/Log_uniform_prior.ipynb b/notebooks/Log_uniform_prior.ipynb index f1d31f83..44937eea 100644 --- a/notebooks/Log_uniform_prior.ipynb +++ b/notebooks/Log_uniform_prior.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "8ea8a697", + "id": "115fdcd8", "metadata": { "papermill": { - "duration": 0.004265, - "end_time": "2024-05-08T19:22:51.679282", + "duration": 0.011696, + "end_time": "2024-05-08T19:32:57.685933", "exception": false, - "start_time": "2024-05-08T19:22:51.675017", + "start_time": "2024-05-08T19:32:57.674237", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "b96d092e", 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", 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", "text/plain": [ "
" ] @@ -506,8 +506,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.768409, - "end_time": "2024-05-08T19:22:53.924019", + "duration": 3.421174, + "end_time": "2024-05-08T19:33:00.448257", "environment_variables": {}, "exception": null, "input_path": "Log_uniform_prior.ipynb", @@ -516,7 +516,7 @@ "func_name": "Log_uniform_prior", "positive_prior": true }, - "start_time": "2024-05-08T19:22:51.155610", + "start_time": "2024-05-08T19:32:57.027083", "version": "2.6.0" } }, diff --git a/notebooks/Model_tutorial.ipynb b/notebooks/Model_tutorial.ipynb index a84c8717..0cfd458b 100644 --- a/notebooks/Model_tutorial.ipynb +++ b/notebooks/Model_tutorial.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "95ad18b1", + "id": "ef0e91c5", "metadata": {}, "source": [ "# Model tutorial\n", @@ -15,13 +15,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "2d517337", + "id": "5d61f9c6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:50.107048Z", - "iopub.status.busy": "2024-05-08T19:19:50.105872Z", - "iopub.status.idle": "2024-05-08T19:19:51.270209Z", - "shell.execute_reply": "2024-05-08T19:19:51.269606Z" + "iopub.execute_input": "2024-05-08T19:29:22.048519Z", + "iopub.status.busy": "2024-05-08T19:29:22.047454Z", + "iopub.status.idle": "2024-05-08T19:29:23.438580Z", + "shell.execute_reply": "2024-05-08T19:29:23.437702Z" } }, "outputs": [], @@ -36,7 +36,7 @@ }, { "cell_type": "markdown", - "id": "431de9dd", + "id": "ff9f463a", "metadata": {}, "source": [ "## Define sources\n", @@ -47,13 +47,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "4560971a", + "id": "0285335a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.272844Z", - "iopub.status.busy": "2024-05-08T19:19:51.272581Z", - "iopub.status.idle": "2024-05-08T19:19:51.280508Z", - "shell.execute_reply": "2024-05-08T19:19:51.280058Z" + "iopub.execute_input": "2024-05-08T19:29:23.442647Z", + "iopub.status.busy": "2024-05-08T19:29:23.442141Z", + "iopub.status.idle": "2024-05-08T19:29:23.454086Z", + "shell.execute_reply": "2024-05-08T19:29:23.453256Z" } }, "outputs": [ @@ -295,7 +295,7 @@ }, { "cell_type": "markdown", - "id": "e560b265", + "id": "af678ccb", "metadata": {}, "source": [ "Now let’s define another source, this time at Galactic Coordinates l = 11.25, b = -22.5, and with two spectral components:" @@ -304,13 +304,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "5d7bdb32", + "id": "83009852", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.282518Z", - "iopub.status.busy": "2024-05-08T19:19:51.282417Z", - "iopub.status.idle": "2024-05-08T19:19:51.295268Z", - "shell.execute_reply": "2024-05-08T19:19:51.294902Z" + "iopub.execute_input": "2024-05-08T19:29:23.457723Z", + "iopub.status.busy": "2024-05-08T19:29:23.457477Z", + "iopub.status.idle": "2024-05-08T19:29:23.467766Z", + "shell.execute_reply": "2024-05-08T19:29:23.466772Z" } }, "outputs": [ @@ -615,7 +615,7 @@ }, { "cell_type": "markdown", - "id": "ed04fe39", + "id": "8ec20768", "metadata": {}, "source": [ "## Create a model\n", @@ -626,13 +626,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "7b437a78", + "id": "fd9c52b9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.297192Z", - "iopub.status.busy": "2024-05-08T19:19:51.297084Z", - "iopub.status.idle": "2024-05-08T19:19:51.305181Z", - "shell.execute_reply": "2024-05-08T19:19:51.304818Z" + "iopub.execute_input": "2024-05-08T19:29:23.471511Z", + "iopub.status.busy": "2024-05-08T19:29:23.471265Z", + "iopub.status.idle": "2024-05-08T19:29:23.480308Z", + "shell.execute_reply": "2024-05-08T19:29:23.479633Z" } }, "outputs": [], @@ -644,7 +644,7 @@ }, { "cell_type": "markdown", - "id": "555f936f", + "id": "736c6e09", "metadata": {}, "source": [ "Of course you can use as many sources as needed, like my_model = Model(pts1, pts2, pts3…)\n", @@ -657,13 +657,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "e789b1dc", + "id": "b103087b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.307115Z", - "iopub.status.busy": "2024-05-08T19:19:51.307011Z", - "iopub.status.idle": "2024-05-08T19:19:51.323917Z", - "shell.execute_reply": "2024-05-08T19:19:51.323545Z" + "iopub.execute_input": "2024-05-08T19:29:23.483390Z", + "iopub.status.busy": "2024-05-08T19:29:23.483152Z", + "iopub.status.idle": "2024-05-08T19:29:23.508568Z", + "shell.execute_reply": "2024-05-08T19:29:23.508068Z" } }, "outputs": [ @@ -841,7 +841,7 @@ }, { "cell_type": "markdown", - "id": "0e028790", + "id": "3ebde189", "metadata": {}, "source": [ "The model tree can be shown as:" @@ -850,13 +850,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "2bd5e7e1", + "id": "5a55883f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.325905Z", - "iopub.status.busy": "2024-05-08T19:19:51.325768Z", - "iopub.status.idle": "2024-05-08T19:19:51.330287Z", - "shell.execute_reply": "2024-05-08T19:19:51.329930Z" + "iopub.execute_input": "2024-05-08T19:29:23.511790Z", + "iopub.status.busy": "2024-05-08T19:29:23.511561Z", + "iopub.status.idle": "2024-05-08T19:29:23.518891Z", + "shell.execute_reply": "2024-05-08T19:29:23.517503Z" } }, "outputs": [ @@ -937,7 +937,7 @@ }, { "cell_type": "markdown", - "id": "c8d5206a", + "id": "321ec796", "metadata": {}, "source": [ "A dictionary of free parameters can be obtained like this:" @@ -946,13 +946,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "537e8a6d", + "id": "4899c947", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.332126Z", - "iopub.status.busy": "2024-05-08T19:19:51.332002Z", - "iopub.status.idle": "2024-05-08T19:19:51.333811Z", - "shell.execute_reply": "2024-05-08T19:19:51.333450Z" + "iopub.execute_input": "2024-05-08T19:29:23.522239Z", + "iopub.status.busy": "2024-05-08T19:29:23.522017Z", + "iopub.status.idle": "2024-05-08T19:29:23.529636Z", + "shell.execute_reply": "2024-05-08T19:29:23.528995Z" } }, "outputs": [], @@ -962,7 +962,7 @@ }, { "cell_type": "markdown", - "id": "b4e0834c", + "id": "5db10d90", "metadata": {}, "source": [ "We can use such dictionary to loop over all free parameters:" @@ -971,13 +971,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "b2d1146d", + "id": "6a71c10a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.335784Z", - "iopub.status.busy": "2024-05-08T19:19:51.335655Z", - "iopub.status.idle": "2024-05-08T19:19:51.337914Z", - "shell.execute_reply": "2024-05-08T19:19:51.337543Z" + "iopub.execute_input": "2024-05-08T19:29:23.532933Z", + "iopub.status.busy": "2024-05-08T19:29:23.532698Z", + "iopub.status.idle": "2024-05-08T19:29:23.536805Z", + "shell.execute_reply": "2024-05-08T19:29:23.535766Z" } }, "outputs": [ @@ -1002,7 +1002,7 @@ }, { "cell_type": "markdown", - "id": "f9e8d8f5", + "id": "4ea11632", "metadata": {}, "source": [ "More information on a particular source can be obtained like:" @@ -1011,13 +1011,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "ad4ced64", + "id": "605ee0ed", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.339844Z", - "iopub.status.busy": "2024-05-08T19:19:51.339714Z", - "iopub.status.idle": "2024-05-08T19:19:51.349638Z", - "shell.execute_reply": "2024-05-08T19:19:51.349258Z" + "iopub.execute_input": "2024-05-08T19:29:23.539904Z", + "iopub.status.busy": "2024-05-08T19:29:23.539680Z", + "iopub.status.idle": "2024-05-08T19:29:23.545534Z", + "shell.execute_reply": "2024-05-08T19:29:23.544981Z" } }, "outputs": [ @@ -1215,7 +1215,7 @@ }, { "cell_type": "markdown", - "id": "ce235727", + "id": "d0c68158", "metadata": {}, "source": [ "More information about a particular instance of a function can be obtained like:" @@ -1224,13 +1224,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "1c2ee2e9", + "id": "7acb7503", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.351493Z", - "iopub.status.busy": "2024-05-08T19:19:51.351398Z", - "iopub.status.idle": "2024-05-08T19:19:51.354965Z", - "shell.execute_reply": "2024-05-08T19:19:51.354627Z" + "iopub.execute_input": "2024-05-08T19:29:23.548996Z", + "iopub.status.busy": "2024-05-08T19:29:23.548742Z", + "iopub.status.idle": "2024-05-08T19:29:23.554202Z", + "shell.execute_reply": "2024-05-08T19:29:23.553544Z" } }, "outputs": [ @@ -1364,7 +1364,7 @@ }, { "cell_type": "markdown", - "id": "049a21a5", + "id": "fae8ee92", "metadata": {}, "source": [ "## Accessing and modifying sources and parameters from the model instance\n", @@ -1377,13 +1377,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "91c92b97", + "id": "118fb1a0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.356790Z", - "iopub.status.busy": "2024-05-08T19:19:51.356661Z", - "iopub.status.idle": "2024-05-08T19:19:51.364783Z", - "shell.execute_reply": "2024-05-08T19:19:51.364432Z" + "iopub.execute_input": "2024-05-08T19:29:23.557957Z", + "iopub.status.busy": "2024-05-08T19:29:23.557712Z", + "iopub.status.idle": "2024-05-08T19:29:23.569453Z", + "shell.execute_reply": "2024-05-08T19:29:23.568468Z" } }, "outputs": [ @@ -1562,13 +1562,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "a64300ec", + "id": "9709e505", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.366758Z", - "iopub.status.busy": "2024-05-08T19:19:51.366622Z", - "iopub.status.idle": "2024-05-08T19:19:51.374760Z", - "shell.execute_reply": "2024-05-08T19:19:51.374395Z" + "iopub.execute_input": "2024-05-08T19:29:23.572579Z", + "iopub.status.busy": "2024-05-08T19:29:23.572339Z", + "iopub.status.idle": "2024-05-08T19:29:23.575359Z", + "shell.execute_reply": "2024-05-08T19:29:23.574736Z" } }, "outputs": [], @@ -1584,7 +1584,7 @@ }, { "cell_type": "markdown", - "id": "9a8dcad3", + "id": "a8351d57", "metadata": {}, "source": [ "The structure of these paths is easy to understand. The model is a tree-like structure. The root of the tree is always the model instance itself. The second level is constituted by the various sources. The structure within a source can be understood by calling the ```.display``` method:" @@ -1593,13 +1593,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "633ca7fd", + "id": "9aaf68b9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.376659Z", - "iopub.status.busy": "2024-05-08T19:19:51.376562Z", - "iopub.status.idle": "2024-05-08T19:19:51.380444Z", - "shell.execute_reply": "2024-05-08T19:19:51.380078Z" + "iopub.execute_input": "2024-05-08T19:29:23.578795Z", + "iopub.status.busy": "2024-05-08T19:29:23.578558Z", + "iopub.status.idle": "2024-05-08T19:29:23.585281Z", + "shell.execute_reply": "2024-05-08T19:29:23.584440Z" } }, "outputs": [ @@ -1797,7 +1797,7 @@ }, { "cell_type": "markdown", - "id": "a2b84bdd", + "id": "4d0f95d0", "metadata": {}, "source": [ "Each indentation represents one level, so to access the “ra” element we can follow the levels shown by the ```.display()``` method:" @@ -1806,13 +1806,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "f024e315", + "id": "fb8f50a1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.382361Z", - "iopub.status.busy": "2024-05-08T19:19:51.382228Z", - "iopub.status.idle": "2024-05-08T19:19:51.390097Z", - "shell.execute_reply": "2024-05-08T19:19:51.389705Z" + "iopub.execute_input": "2024-05-08T19:29:23.588626Z", + "iopub.status.busy": "2024-05-08T19:29:23.588327Z", + "iopub.status.idle": "2024-05-08T19:29:23.593023Z", + "shell.execute_reply": "2024-05-08T19:29:23.592045Z" } }, "outputs": [ @@ -1839,7 +1839,7 @@ }, { "cell_type": "markdown", - "id": "6bea8c30", + "id": "e74b8308", "metadata": {}, "source": [ "
\n", @@ -1853,7 +1853,7 @@ }, { "cell_type": "markdown", - "id": "064182ca", + "id": "f43b5f7d", "metadata": {}, "source": [ "while to access the index parameter of the power law function we can do" @@ -1862,13 +1862,13 @@ { "cell_type": "code", "execution_count": 15, - "id": "d7480f04", + "id": "c6e05ecc", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.392048Z", - "iopub.status.busy": "2024-05-08T19:19:51.391950Z", - "iopub.status.idle": "2024-05-08T19:19:51.394840Z", - "shell.execute_reply": "2024-05-08T19:19:51.394498Z" + "iopub.execute_input": "2024-05-08T19:29:23.596567Z", + "iopub.status.busy": "2024-05-08T19:29:23.596328Z", + "iopub.status.idle": "2024-05-08T19:29:23.607022Z", + "shell.execute_reply": "2024-05-08T19:29:23.606255Z" } }, "outputs": [ @@ -1895,7 +1895,7 @@ }, { "cell_type": "markdown", - "id": "00b6c9c6", + "id": "d9da26da", "metadata": {}, "source": [ "You can find much more information in the document “Additional features for scripts and applications”.\n", @@ -1910,13 +1910,13 @@ { "cell_type": "code", "execution_count": 16, - "id": "d7e25c57", + "id": "59ce79cb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.396627Z", - "iopub.status.busy": "2024-05-08T19:19:51.396499Z", - "iopub.status.idle": "2024-05-08T19:19:51.402719Z", - "shell.execute_reply": "2024-05-08T19:19:51.402336Z" + "iopub.execute_input": "2024-05-08T19:29:23.610568Z", + "iopub.status.busy": "2024-05-08T19:29:23.610287Z", + "iopub.status.idle": "2024-05-08T19:29:23.619794Z", + "shell.execute_reply": "2024-05-08T19:29:23.619171Z" } }, "outputs": [], @@ -1939,7 +1939,7 @@ }, { "cell_type": "markdown", - "id": "26d640cb", + "id": "e66f6756", "metadata": {}, "source": [ "
\n", @@ -1959,7 +1959,7 @@ }, { "cell_type": "markdown", - "id": "ebc162b9", + "id": "4041b8e2", "metadata": {}, "source": [ "Shortcut can point at any point of the tree:\n" @@ -1968,13 +1968,13 @@ { "cell_type": "code", "execution_count": 17, - "id": "9d7cc9a5", + "id": "87d6195f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.404642Z", - "iopub.status.busy": "2024-05-08T19:19:51.404547Z", - "iopub.status.idle": "2024-05-08T19:19:51.412982Z", - "shell.execute_reply": "2024-05-08T19:19:51.412632Z" + "iopub.execute_input": "2024-05-08T19:29:23.622986Z", + "iopub.status.busy": "2024-05-08T19:29:23.622732Z", + "iopub.status.idle": "2024-05-08T19:29:23.626343Z", + "shell.execute_reply": "2024-05-08T19:29:23.625436Z" } }, "outputs": [], @@ -1995,7 +1995,7 @@ }, { "cell_type": "markdown", - "id": "b7343ef7", + "id": "83a92246", "metadata": {}, "source": [ "If you are ever in doubt of what a particular shortcut stands for, you can always retrieve the full path of the element the shortcut is pointing to like this:" @@ -2004,13 +2004,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "9dc8a52e", + "id": "27c02754", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.414823Z", - "iopub.status.busy": "2024-05-08T19:19:51.414725Z", - "iopub.status.idle": "2024-05-08T19:19:51.422815Z", - "shell.execute_reply": "2024-05-08T19:19:51.422459Z" + "iopub.execute_input": "2024-05-08T19:29:23.629560Z", + "iopub.status.busy": "2024-05-08T19:29:23.629284Z", + "iopub.status.idle": "2024-05-08T19:29:23.633313Z", + "shell.execute_reply": "2024-05-08T19:29:23.632007Z" } }, "outputs": [ @@ -2028,7 +2028,7 @@ }, { "cell_type": "markdown", - "id": "0972f54f", + "id": "91b67a41", "metadata": {}, "source": [ "## Saving a model to file\n", @@ -2039,13 +2039,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "b427b7f6", + "id": "67ed3de2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.424658Z", - "iopub.status.busy": "2024-05-08T19:19:51.424564Z", - "iopub.status.idle": "2024-05-08T19:19:51.436930Z", - "shell.execute_reply": "2024-05-08T19:19:51.436582Z" + "iopub.execute_input": "2024-05-08T19:29:23.636750Z", + "iopub.status.busy": "2024-05-08T19:29:23.636496Z", + "iopub.status.idle": "2024-05-08T19:29:23.651235Z", + "shell.execute_reply": "2024-05-08T19:29:23.650583Z" } }, "outputs": [], @@ -2057,7 +2057,7 @@ }, { "cell_type": "markdown", - "id": "92236b84", + "id": "cba29f86", "metadata": {}, "source": [ "The content of the file is YAML code, which is human-readable and very easy to understand. Let’s have a look:" @@ -2066,13 +2066,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "13efebc1", + "id": "201c702b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.438796Z", - "iopub.status.busy": "2024-05-08T19:19:51.438697Z", - "iopub.status.idle": "2024-05-08T19:19:51.441033Z", - "shell.execute_reply": "2024-05-08T19:19:51.440680Z" + "iopub.execute_input": "2024-05-08T19:29:23.654753Z", + "iopub.status.busy": "2024-05-08T19:29:23.654450Z", + "iopub.status.idle": "2024-05-08T19:29:23.658750Z", + "shell.execute_reply": "2024-05-08T19:29:23.657772Z" } }, "outputs": [ @@ -2360,7 +2360,7 @@ }, { "cell_type": "markdown", - "id": "391fd776", + "id": "438d427f", "metadata": {}, "source": [ "## Load a model from a file\n", @@ -2371,13 +2371,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "0f5e6f8a", + "id": "957e309f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.443020Z", - "iopub.status.busy": "2024-05-08T19:19:51.442880Z", - "iopub.status.idle": "2024-05-08T19:19:51.467135Z", - "shell.execute_reply": "2024-05-08T19:19:51.466745Z" + "iopub.execute_input": "2024-05-08T19:29:23.662319Z", + "iopub.status.busy": "2024-05-08T19:29:23.662060Z", + "iopub.status.idle": "2024-05-08T19:29:23.685230Z", + "shell.execute_reply": "2024-05-08T19:29:23.684465Z" } }, "outputs": [ @@ -2560,13 +2560,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "2a49bf30", + "id": "a0d899ff", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:51.468950Z", - "iopub.status.busy": "2024-05-08T19:19:51.468853Z", - "iopub.status.idle": "2024-05-08T19:19:52.142994Z", - "shell.execute_reply": "2024-05-08T19:19:52.142477Z" + "iopub.execute_input": "2024-05-08T19:29:23.688599Z", + "iopub.status.busy": "2024-05-08T19:29:23.688355Z", + "iopub.status.idle": "2024-05-08T19:29:24.513543Z", + "shell.execute_reply": "2024-05-08T19:29:24.512399Z" } }, "outputs": [ @@ -2636,7 +2636,7 @@ }, { "cell_type": "markdown", - "id": "c2ef97f7", + "id": "91b08a47", "metadata": {}, "source": [ "## Linking parameters\n", @@ -2647,13 +2647,13 @@ { "cell_type": "code", "execution_count": 23, - "id": "455b3329", + "id": "29696fa2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.145310Z", - "iopub.status.busy": "2024-05-08T19:19:52.144935Z", - "iopub.status.idle": "2024-05-08T19:19:52.161558Z", - "shell.execute_reply": "2024-05-08T19:19:52.161163Z" + "iopub.execute_input": "2024-05-08T19:29:24.518611Z", + "iopub.status.busy": "2024-05-08T19:29:24.517969Z", + "iopub.status.idle": "2024-05-08T19:29:24.533967Z", + "shell.execute_reply": "2024-05-08T19:29:24.532779Z" } }, "outputs": [ @@ -2873,7 +2873,7 @@ }, { "cell_type": "markdown", - "id": "883e5dbe", + "id": "968bc7e8", "metadata": {}, "source": [ "### Advanced use of linking: arbitrary functions\n", @@ -2884,13 +2884,13 @@ { "cell_type": "code", "execution_count": 24, - "id": "64a48feb", + "id": "a8de8f7f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.163502Z", - "iopub.status.busy": "2024-05-08T19:19:52.163399Z", - "iopub.status.idle": "2024-05-08T19:19:52.173026Z", - "shell.execute_reply": "2024-05-08T19:19:52.172640Z" + "iopub.execute_input": "2024-05-08T19:29:24.539479Z", + "iopub.status.busy": "2024-05-08T19:29:24.539223Z", + "iopub.status.idle": "2024-05-08T19:29:24.553572Z", + "shell.execute_reply": "2024-05-08T19:29:24.552529Z" } }, "outputs": [ @@ -3130,7 +3130,7 @@ }, { "cell_type": "markdown", - "id": "e25174ba", + "id": "2e6227d7", "metadata": {}, "source": [ "If we want to fix say $p2 = p1 - 1.2$, we can fix k to that:" @@ -3139,13 +3139,13 @@ { "cell_type": "code", "execution_count": 25, - "id": "6637f9ff", + "id": "58d0fec6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.174970Z", - "iopub.status.busy": "2024-05-08T19:19:52.174836Z", - "iopub.status.idle": "2024-05-08T19:19:52.190129Z", - "shell.execute_reply": "2024-05-08T19:19:52.189746Z" + "iopub.execute_input": "2024-05-08T19:29:24.559076Z", + "iopub.status.busy": "2024-05-08T19:29:24.558617Z", + "iopub.status.idle": "2024-05-08T19:29:24.573475Z", + "shell.execute_reply": "2024-05-08T19:29:24.571716Z" } }, "outputs": [ @@ -3362,7 +3362,7 @@ }, { "cell_type": "markdown", - "id": "b5653df5", + "id": "1db1ca97", "metadata": {}, "source": [ "As another example, we might link the two parameters using a power law function:" @@ -3371,13 +3371,13 @@ { "cell_type": "code", "execution_count": 26, - "id": "e307a132", + "id": "6cafe435", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.192055Z", - "iopub.status.busy": "2024-05-08T19:19:52.191955Z", - "iopub.status.idle": "2024-05-08T19:19:52.201644Z", - "shell.execute_reply": "2024-05-08T19:19:52.201282Z" + "iopub.execute_input": "2024-05-08T19:29:24.577487Z", + "iopub.status.busy": "2024-05-08T19:29:24.577264Z", + "iopub.status.idle": "2024-05-08T19:29:24.596967Z", + "shell.execute_reply": "2024-05-08T19:29:24.596145Z" } }, "outputs": [ @@ -3611,7 +3611,7 @@ }, { "cell_type": "markdown", - "id": "84dec2ec", + "id": "bd4ecb0c", "metadata": {}, "source": [ "We can use arbitrarily complex functions as link function, if needed (see “Creating and modifying functions” for more info on how to create composite functions):" @@ -3620,13 +3620,13 @@ { "cell_type": "code", "execution_count": 27, - "id": "d0b15267", + "id": "54c367df", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.203678Z", - "iopub.status.busy": "2024-05-08T19:19:52.203542Z", - "iopub.status.idle": "2024-05-08T19:19:52.214333Z", - "shell.execute_reply": "2024-05-08T19:19:52.213984Z" + "iopub.execute_input": "2024-05-08T19:29:24.600333Z", + "iopub.status.busy": "2024-05-08T19:29:24.600104Z", + "iopub.status.idle": "2024-05-08T19:29:24.615462Z", + "shell.execute_reply": "2024-05-08T19:29:24.614488Z" } }, "outputs": [ @@ -3908,7 +3908,7 @@ }, { "cell_type": "markdown", - "id": "62b906a8", + "id": "2ef004af", "metadata": {}, "source": [ "## Time-varying models and other independent variables\n", @@ -3919,13 +3919,13 @@ { "cell_type": "code", "execution_count": 28, - "id": "adcd2f9b", + "id": "b1335039", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.216283Z", - "iopub.status.busy": "2024-05-08T19:19:52.216152Z", - "iopub.status.idle": "2024-05-08T19:19:52.218141Z", - "shell.execute_reply": "2024-05-08T19:19:52.217771Z" + "iopub.execute_input": "2024-05-08T19:29:24.618994Z", + "iopub.status.busy": "2024-05-08T19:29:24.618754Z", + "iopub.status.idle": "2024-05-08T19:29:24.621825Z", + "shell.execute_reply": "2024-05-08T19:29:24.621251Z" } }, "outputs": [], @@ -3939,7 +3939,7 @@ }, { "cell_type": "markdown", - "id": "ec4cf906", + "id": "6bf79bd9", "metadata": {}, "source": [ "The IndependentVariable instance is inserted at the root of the model tree. In this case, can be accessed as:" @@ -3948,13 +3948,13 @@ { "cell_type": "code", "execution_count": 29, - "id": "7815810b", + "id": "ae4a5811", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.220015Z", - "iopub.status.busy": "2024-05-08T19:19:52.219885Z", - "iopub.status.idle": "2024-05-08T19:19:52.222332Z", - "shell.execute_reply": "2024-05-08T19:19:52.221939Z" + "iopub.execute_input": "2024-05-08T19:29:24.625149Z", + "iopub.status.busy": "2024-05-08T19:29:24.624923Z", + "iopub.status.idle": "2024-05-08T19:29:24.629636Z", + "shell.execute_reply": "2024-05-08T19:29:24.628489Z" } }, "outputs": [ @@ -3979,7 +3979,7 @@ }, { "cell_type": "markdown", - "id": "119c595a", + "id": "482501f5", "metadata": {}, "source": [ "We can now link any parameter to be a function of time, like this:" @@ -3988,13 +3988,13 @@ { "cell_type": "code", "execution_count": 30, - "id": "b181a328", + "id": "dbd9562f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.224326Z", - "iopub.status.busy": "2024-05-08T19:19:52.224199Z", - "iopub.status.idle": "2024-05-08T19:19:52.232206Z", - "shell.execute_reply": "2024-05-08T19:19:52.231831Z" + "iopub.execute_input": "2024-05-08T19:29:24.632917Z", + "iopub.status.busy": "2024-05-08T19:29:24.632712Z", + "iopub.status.idle": "2024-05-08T19:29:24.635677Z", + "shell.execute_reply": "2024-05-08T19:29:24.634869Z" } }, "outputs": [], @@ -4005,7 +4005,7 @@ }, { "cell_type": "markdown", - "id": "e5992a49", + "id": "2af4a1ba", "metadata": {}, "source": [ "Now link the index of the sync. component of source_2 to be law(t)\n", @@ -4015,13 +4015,13 @@ { "cell_type": "code", "execution_count": 31, - "id": "18abe8e4", + "id": "26f7aed3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.234087Z", - "iopub.status.busy": "2024-05-08T19:19:52.233993Z", - "iopub.status.idle": "2024-05-08T19:19:52.242302Z", - "shell.execute_reply": "2024-05-08T19:19:52.241941Z" + "iopub.execute_input": "2024-05-08T19:29:24.638953Z", + "iopub.status.busy": "2024-05-08T19:29:24.638730Z", + "iopub.status.idle": "2024-05-08T19:29:24.647848Z", + "shell.execute_reply": "2024-05-08T19:29:24.647244Z" } }, "outputs": [], @@ -4034,13 +4034,13 @@ { "cell_type": "code", "execution_count": 32, - "id": "e9ddc381", + "id": "9608f603", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.244161Z", - "iopub.status.busy": "2024-05-08T19:19:52.244057Z", - "iopub.status.idle": "2024-05-08T19:19:52.274014Z", - "shell.execute_reply": "2024-05-08T19:19:52.273558Z" + "iopub.execute_input": "2024-05-08T19:29:24.651069Z", + "iopub.status.busy": "2024-05-08T19:29:24.650839Z", + "iopub.status.idle": "2024-05-08T19:29:24.684865Z", + "shell.execute_reply": "2024-05-08T19:29:24.684213Z" } }, "outputs": [], @@ -4052,7 +4052,7 @@ }, { "cell_type": "markdown", - "id": "a2a6e52a", + "id": "b9bfed79", "metadata": {}, "source": [ "This would show the link:\n", @@ -4082,13 +4082,13 @@ { "cell_type": "code", "execution_count": 33, - "id": "f3d041e3", + "id": "ffa0c121", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:52.276168Z", - "iopub.status.busy": "2024-05-08T19:19:52.276067Z", - "iopub.status.idle": "2024-05-08T19:19:52.611573Z", - "shell.execute_reply": "2024-05-08T19:19:52.611185Z" + "iopub.execute_input": "2024-05-08T19:29:24.688067Z", + "iopub.status.busy": "2024-05-08T19:29:24.687838Z", + "iopub.status.idle": "2024-05-08T19:29:25.087189Z", + "shell.execute_reply": "2024-05-08T19:29:25.085397Z" } }, "outputs": [ @@ -4138,7 +4138,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b8b22198", + "id": "4f6abcd2", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/ModifiedBlackbody.ipynb b/notebooks/ModifiedBlackbody.ipynb index b47cec42..354bf4dd 100644 --- a/notebooks/ModifiedBlackbody.ipynb +++ b/notebooks/ModifiedBlackbody.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "a61c3ea6", + "id": "8c81b562", "metadata": { "papermill": { - "duration": 0.012266, - "end_time": "2024-05-08T19:20:10.390792", + "duration": 0.00825, + "end_time": "2024-05-08T19:29:46.684684", "exception": false, - "start_time": "2024-05-08T19:20:10.378526", + "start_time": "2024-05-08T19:29:46.676434", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f4f5a136", + "id": "67d2fac9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:10.405901Z", - "iopub.status.busy": "2024-05-08T19:20:10.405044Z", - "iopub.status.idle": "2024-05-08T19:20:11.846722Z", - "shell.execute_reply": "2024-05-08T19:20:11.846202Z" + "iopub.execute_input": "2024-05-08T19:29:46.698379Z", + "iopub.status.busy": "2024-05-08T19:29:46.697860Z", + "iopub.status.idle": "2024-05-08T19:29:48.441321Z", + "shell.execute_reply": "2024-05-08T19:29:48.440316Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.450551, - "end_time": "2024-05-08T19:20:11.848304", + "duration": 1.752133, + "end_time": "2024-05-08T19:29:48.443451", "exception": false, - "start_time": "2024-05-08T19:20:10.397753", + "start_time": "2024-05-08T19:29:46.691318", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "03a1fb30", + "id": "47065796", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.851653Z", - "iopub.status.busy": "2024-05-08T19:20:11.851320Z", - "iopub.status.idle": "2024-05-08T19:20:11.857581Z", - "shell.execute_reply": "2024-05-08T19:20:11.857206Z" + "iopub.execute_input": "2024-05-08T19:29:48.447806Z", + "iopub.status.busy": "2024-05-08T19:29:48.447321Z", + "iopub.status.idle": "2024-05-08T19:29:48.455967Z", + "shell.execute_reply": "2024-05-08T19:29:48.455271Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.009236, - "end_time": "2024-05-08T19:20:11.858850", + "duration": 0.012929, + "end_time": "2024-05-08T19:29:48.457943", "exception": false, - "start_time": "2024-05-08T19:20:11.849614", + "start_time": "2024-05-08T19:29:48.445014", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "391c1ecf", + "id": "a3b47bc0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.861682Z", - "iopub.status.busy": "2024-05-08T19:20:11.861549Z", - "iopub.status.idle": "2024-05-08T19:20:11.869708Z", - "shell.execute_reply": "2024-05-08T19:20:11.869338Z" + "iopub.execute_input": "2024-05-08T19:29:48.461993Z", + "iopub.status.busy": "2024-05-08T19:29:48.461741Z", + "iopub.status.idle": "2024-05-08T19:29:48.464892Z", + "shell.execute_reply": "2024-05-08T19:29:48.464127Z" }, "papermill": { - "duration": 0.01101, - "end_time": "2024-05-08T19:20:11.870965", + "duration": 0.007355, + "end_time": "2024-05-08T19:29:48.466825", "exception": false, - "start_time": "2024-05-08T19:20:11.859955", + "start_time": "2024-05-08T19:29:48.459470", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "72c1207e", + "id": "38da4d91", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.873937Z", - "iopub.status.busy": "2024-05-08T19:20:11.873775Z", - "iopub.status.idle": "2024-05-08T19:20:11.882815Z", - "shell.execute_reply": "2024-05-08T19:20:11.882426Z" + "iopub.execute_input": "2024-05-08T19:29:48.470762Z", + "iopub.status.busy": "2024-05-08T19:29:48.470549Z", + "iopub.status.idle": "2024-05-08T19:29:48.480649Z", + "shell.execute_reply": "2024-05-08T19:29:48.480036Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.011997, - "end_time": "2024-05-08T19:20:11.884168", + "duration": 0.014236, + "end_time": "2024-05-08T19:29:48.482527", "exception": false, - "start_time": "2024-05-08T19:20:11.872171", + "start_time": "2024-05-08T19:29:48.468291", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "95f09fde", + "id": "756f3067", "metadata": { "lines_to_next_cell": 0, "papermill": { - 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"start_time": "2024-05-08T19:20:11.887483", + "start_time": "2024-05-08T19:29:48.486742", "status": "completed" }, "tags": [] @@ -305,13 +305,13 @@ }, { "cell_type": "markdown", - "id": "33609970", + "id": "73528bd3", "metadata": { "papermill": { - "duration": 0.001303, - "end_time": "2024-05-08T19:20:11.896499", + "duration": 0.001477, + "end_time": "2024-05-08T19:29:48.499897", "exception": false, - "start_time": "2024-05-08T19:20:11.895196", + "start_time": "2024-05-08T19:29:48.498420", "status": "completed" }, "tags": [] @@ -327,19 +327,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "dc73ef3a", + "id": "17768dbe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:11.899493Z", - "iopub.status.busy": "2024-05-08T19:20:11.899352Z", - "iopub.status.idle": "2024-05-08T19:20:12.393825Z", - "shell.execute_reply": "2024-05-08T19:20:12.393467Z" + "iopub.execute_input": "2024-05-08T19:29:48.503847Z", + "iopub.status.busy": "2024-05-08T19:29:48.503576Z", + "iopub.status.idle": "2024-05-08T19:29:49.128813Z", + "shell.execute_reply": "2024-05-08T19:29:49.127949Z" }, "papermill": { - 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"start_time": "2024-05-08T19:20:09.786886", + "start_time": "2024-05-08T19:29:45.912079", "version": "2.6.0" } }, diff --git a/notebooks/Multi_component_sources.html b/notebooks/Multi_component_sources.html index 0c9ad537..30437535 100644 --- a/notebooks/Multi_component_sources.html +++ b/notebooks/Multi_component_sources.html @@ -120,7 +120,7 @@

Multi-component sources

-
19:19:54 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
+
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                   available
diff --git a/notebooks/Multi_component_sources.ipynb b/notebooks/Multi_component_sources.ipynb index 9182fa28..e31b8098 100644 --- a/notebooks/Multi_component_sources.ipynb +++ b/notebooks/Multi_component_sources.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "e36f2c48", + "id": "1d9cd5bc", "metadata": {}, "source": [ "# Multi-component sources" @@ -10,7 +10,7 @@ }, { "cell_type": "markdown", - "id": "884d8afd", + "id": "92e45978", "metadata": {}, "source": [ "A multi-component source is a point source (or extended source) which has different spectral\n", @@ -30,25 +30,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "7d5831ff", + "id": "20e7bccb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:53.557939Z", - "iopub.status.busy": "2024-05-08T19:19:53.557153Z", - "iopub.status.idle": "2024-05-08T19:19:54.721115Z", - "shell.execute_reply": "2024-05-08T19:19:54.720653Z" + "iopub.execute_input": "2024-05-08T19:29:26.286360Z", + "iopub.status.busy": "2024-05-08T19:29:26.285750Z", + "iopub.status.idle": "2024-05-08T19:29:27.673825Z", + "shell.execute_reply": "2024-05-08T19:29:27.672881Z" } }, "outputs": [ { "data": { "text/html": [ - "
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        "                  available                                                                                        \n",
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"iopub.status.idle": "2024-05-08T19:19:54.731773Z", - "shell.execute_reply": "2024-05-08T19:19:54.731402Z" + "iopub.execute_input": "2024-05-08T19:29:27.677736Z", + "iopub.status.busy": "2024-05-08T19:29:27.677249Z", + "iopub.status.idle": "2024-05-08T19:29:27.686879Z", + "shell.execute_reply": "2024-05-08T19:29:27.686212Z" } }, "outputs": [], @@ -395,7 +395,7 @@ }, { "cell_type": "markdown", - "id": "564a7c27", + "id": "118a0b4a", "metadata": {}, "source": [ "Change values for the parameters:" @@ -404,13 +404,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "cb3eb3e8", + "id": "256468c3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.733685Z", - "iopub.status.busy": "2024-05-08T19:19:54.733586Z", - "iopub.status.idle": "2024-05-08T19:19:54.738496Z", - "shell.execute_reply": "2024-05-08T19:19:54.738147Z" + "iopub.execute_input": "2024-05-08T19:29:27.690126Z", + "iopub.status.busy": "2024-05-08T19:29:27.689894Z", + "iopub.status.idle": "2024-05-08T19:29:27.697574Z", + "shell.execute_reply": "2024-05-08T19:29:27.696397Z" } }, "outputs": [ @@ -705,7 +705,7 @@ }, { "cell_type": "markdown", - "id": "b3656e28", + "id": "d10be3f4", "metadata": {}, "source": [ "Spectral components can be assigned to python variables to modify several parameters without too much repetition:" @@ -714,13 +714,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "217d94bc", + "id": "917909f5", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.740467Z", - "iopub.status.busy": "2024-05-08T19:19:54.740342Z", - "iopub.status.idle": "2024-05-08T19:19:54.745771Z", - "shell.execute_reply": "2024-05-08T19:19:54.745418Z" + "iopub.execute_input": "2024-05-08T19:29:27.701017Z", + "iopub.status.busy": "2024-05-08T19:29:27.700765Z", + "iopub.status.idle": "2024-05-08T19:29:27.709340Z", + "shell.execute_reply": "2024-05-08T19:29:27.708382Z" } }, "outputs": [ @@ -1016,7 +1016,7 @@ }, { "cell_type": "markdown", - "id": "1a88d695", + "id": "b2963b0c", "metadata": {}, "source": [ "Be careful when creating a shortcut directly to a parameter." @@ -1025,13 +1025,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "41167f50", + "id": "2f242e32", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.747760Z", - "iopub.status.busy": "2024-05-08T19:19:54.747620Z", - "iopub.status.idle": "2024-05-08T19:19:54.750003Z", - "shell.execute_reply": "2024-05-08T19:19:54.749579Z" + "iopub.execute_input": "2024-05-08T19:29:27.712794Z", + "iopub.status.busy": "2024-05-08T19:29:27.712577Z", + "iopub.status.idle": "2024-05-08T19:29:27.716395Z", + "shell.execute_reply": "2024-05-08T19:29:27.715490Z" } }, "outputs": [ @@ -1054,7 +1054,7 @@ }, { "cell_type": "markdown", - "id": "520edeb0", + "id": "cf08d976", "metadata": {}, "source": [ "This did **not** change the value of K, but instead assigned the float 0.3 to p1 (i.e., destroy the shortcut). \n", @@ -1065,13 +1065,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "aa638e03", + "id": "3e215189", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:54.752019Z", - "iopub.status.busy": "2024-05-08T19:19:54.751893Z", - "iopub.status.idle": "2024-05-08T19:19:54.756697Z", - "shell.execute_reply": "2024-05-08T19:19:54.756342Z" + "iopub.execute_input": "2024-05-08T19:29:27.719840Z", + "iopub.status.busy": "2024-05-08T19:29:27.719587Z", + "iopub.status.idle": "2024-05-08T19:29:27.728831Z", + "shell.execute_reply": "2024-05-08T19:29:27.728081Z" } }, "outputs": [ @@ -1367,7 +1367,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e0c557a7", + "id": "3e88eab4", "metadata": {}, "outputs": [], "source": [] @@ -1375,7 +1375,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b80d6477", + "id": "8d237fc4", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/NonDissipativePhotosphere.ipynb b/notebooks/NonDissipativePhotosphere.ipynb index d230138b..ea07d23a 100644 --- a/notebooks/NonDissipativePhotosphere.ipynb +++ b/notebooks/NonDissipativePhotosphere.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "641540af", + "id": "a8bf1b1c", "metadata": { "papermill": { - "duration": 0.010755, - "end_time": "2024-05-08T19:20:13.916875", + "duration": 0.007823, + "end_time": "2024-05-08T19:29:50.863008", "exception": false, - "start_time": "2024-05-08T19:20:13.906120", + "start_time": "2024-05-08T19:29:50.855185", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "6253f21a", + "id": "74b2284a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:13.930162Z", - "iopub.status.busy": "2024-05-08T19:20:13.929563Z", - "iopub.status.idle": "2024-05-08T19:20:15.331052Z", - "shell.execute_reply": "2024-05-08T19:20:15.330540Z" + "iopub.execute_input": "2024-05-08T19:29:50.875933Z", + "iopub.status.busy": "2024-05-08T19:29:50.875417Z", + "iopub.status.idle": "2024-05-08T19:29:52.589190Z", + "shell.execute_reply": "2024-05-08T19:29:52.588387Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.409567, - "end_time": "2024-05-08T19:20:15.332542", + "duration": 1.722191, + "end_time": "2024-05-08T19:29:52.591449", "exception": false, - "start_time": "2024-05-08T19:20:13.922975", + "start_time": "2024-05-08T19:29:50.869258", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "caa07c0b", + "id": "14232ee6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:15.336252Z", - "iopub.status.busy": "2024-05-08T19:20:15.335917Z", - "iopub.status.idle": "2024-05-08T19:20:15.344242Z", - "shell.execute_reply": "2024-05-08T19:20:15.343838Z" + "iopub.execute_input": "2024-05-08T19:29:52.596242Z", + "iopub.status.busy": "2024-05-08T19:29:52.595758Z", + "iopub.status.idle": "2024-05-08T19:29:52.599479Z", + "shell.execute_reply": "2024-05-08T19:29:52.598516Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.01139, - "end_time": "2024-05-08T19:20:15.345559", + "duration": 0.007998, + "end_time": "2024-05-08T19:29:52.601412", "exception": false, - "start_time": "2024-05-08T19:20:15.334169", + "start_time": "2024-05-08T19:29:52.593414", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "f65e67aa", + "id": "1d40588f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:15.348381Z", - "iopub.status.busy": "2024-05-08T19:20:15.348241Z", - "iopub.status.idle": "2024-05-08T19:20:15.356279Z", - "shell.execute_reply": "2024-05-08T19:20:15.355901Z" + "iopub.execute_input": "2024-05-08T19:29:52.605501Z", + "iopub.status.busy": "2024-05-08T19:29:52.605247Z", + "iopub.status.idle": "2024-05-08T19:29:52.608125Z", + "shell.execute_reply": "2024-05-08T19:29:52.607306Z" }, "papermill": { - "duration": 0.010796, - "end_time": "2024-05-08T19:20:15.357486", + "duration": 0.007348, + "end_time": "2024-05-08T19:29:52.610356", "exception": false, - "start_time": "2024-05-08T19:20:15.346690", + "start_time": "2024-05-08T19:29:52.603008", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "1cbee771", + "id": "343d1c0b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:15.360250Z", - "iopub.status.busy": "2024-05-08T19:20:15.360115Z", - "iopub.status.idle": "2024-05-08T19:20:15.368047Z", - "shell.execute_reply": "2024-05-08T19:20:15.367701Z" + "iopub.execute_input": "2024-05-08T19:29:52.614246Z", + "iopub.status.busy": "2024-05-08T19:29:52.614030Z", + "iopub.status.idle": "2024-05-08T19:29:52.618544Z", + "shell.execute_reply": "2024-05-08T19:29:52.617770Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.010758, - "end_time": "2024-05-08T19:20:15.369346", + "duration": 0.008738, + "end_time": "2024-05-08T19:29:52.620599", "exception": false, - "start_time": "2024-05-08T19:20:15.358588", + "start_time": "2024-05-08T19:29:52.611861", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "35d8c68e", + "id": "0ef5adfd", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001142, - "end_time": "2024-05-08T19:20:15.371679", + "duration": 0.001304, + "end_time": "2024-05-08T19:29:52.623397", "exception": false, - 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"id": "6ec4d28d", + "id": "90f62e3e", "metadata": { "papermill": { - "duration": 0.001214, - "end_time": "2024-05-08T19:20:15.388231", + "duration": 0.001539, + "end_time": "2024-05-08T19:29:52.638680", "exception": false, - "start_time": "2024-05-08T19:20:15.387017", + "start_time": "2024-05-08T19:29:52.637141", "status": "completed" }, "tags": [] @@ -360,19 +360,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "48b7416b", + "id": "43ec3972", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:15.391358Z", - "iopub.status.busy": "2024-05-08T19:20:15.391214Z", - "iopub.status.idle": "2024-05-08T19:20:15.902272Z", - "shell.execute_reply": "2024-05-08T19:20:15.901849Z" + "iopub.execute_input": "2024-05-08T19:29:52.642646Z", + "iopub.status.busy": "2024-05-08T19:29:52.642435Z", + "iopub.status.idle": "2024-05-08T19:29:53.289946Z", + "shell.execute_reply": "2024-05-08T19:29:53.288942Z" }, "papermill": { - "duration": 0.51419, - "end_time": "2024-05-08T19:20:15.903611", + "duration": 0.651937, + "end_time": "2024-05-08T19:29:53.291959", "exception": false, - "start_time": "2024-05-08T19:20:15.389421", + "start_time": "2024-05-08T19:29:52.640022", "status": "completed" }, "tags": [ @@ -405,14 +405,14 @@ }, { "cell_type": "markdown", - "id": "311a0893", + "id": "a105f866", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001449, - "end_time": "2024-05-08T19:20:15.906752", + "duration": 0.001846, + "end_time": "2024-05-08T19:29:53.295753", "exception": false, - "start_time": "2024-05-08T19:20:15.905303", + "start_time": "2024-05-08T19:29:53.293907", "status": "completed" }, "tags": [] @@ -427,19 +427,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "5e82311f", + "id": "6388a270", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:15.910456Z", - "iopub.status.busy": "2024-05-08T19:20:15.910300Z", - "iopub.status.idle": "2024-05-08T19:20:16.131865Z", - "shell.execute_reply": "2024-05-08T19:20:16.131459Z" + "iopub.execute_input": "2024-05-08T19:29:53.300589Z", + "iopub.status.busy": "2024-05-08T19:29:53.300372Z", + "iopub.status.idle": "2024-05-08T19:29:53.605593Z", + "shell.execute_reply": "2024-05-08T19:29:53.604684Z" }, "papermill": { - "duration": 0.224909, - "end_time": "2024-05-08T19:20:16.133137", + "duration": 0.310635, + "end_time": "2024-05-08T19:29:53.608031", "exception": false, - "start_time": "2024-05-08T19:20:15.908228", + "start_time": "2024-05-08T19:29:53.297396", "status": "completed" }, "tags": [] @@ -471,13 +471,13 @@ }, { "cell_type": "markdown", - "id": "6f1e7c7d", + "id": "c7706bd8", "metadata": { "papermill": { - "duration": 0.001693, - "end_time": "2024-05-08T19:20:16.136800", + "duration": 0.001874, + "end_time": "2024-05-08T19:29:53.612159", "exception": false, - "start_time": "2024-05-08T19:20:16.135107", + "start_time": "2024-05-08T19:29:53.610285", "status": "completed" }, "tags": [] @@ -492,19 +492,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "fdbf9115", + "id": "637b693f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:16.140952Z", - "iopub.status.busy": "2024-05-08T19:20:16.140802Z", - "iopub.status.idle": "2024-05-08T19:20:16.406328Z", - "shell.execute_reply": "2024-05-08T19:20:16.406003Z" + "iopub.execute_input": "2024-05-08T19:29:53.616982Z", + "iopub.status.busy": "2024-05-08T19:29:53.616758Z", + "iopub.status.idle": "2024-05-08T19:29:53.969248Z", + "shell.execute_reply": "2024-05-08T19:29:53.968572Z" }, "papermill": { - "duration": 0.269237, - "end_time": "2024-05-08T19:20:16.407769", + "duration": 0.357736, + "end_time": "2024-05-08T19:29:53.971687", "exception": false, - "start_time": "2024-05-08T19:20:16.138532", + "start_time": "2024-05-08T19:29:53.613951", "status": "completed" }, "tags": [] @@ -557,8 +557,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.533983, - "end_time": "2024-05-08T19:20:16.746735", + "duration": 4.198417, + "end_time": "2024-05-08T19:29:54.515026", "environment_variables": {}, "exception": null, "input_path": "NonDissipativePhotosphere.ipynb", @@ -570,7 +570,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:13.212752", + "start_time": "2024-05-08T19:29:50.316609", "version": "2.6.0" } }, diff --git a/notebooks/NonDissipativePhotosphere_Deep.ipynb b/notebooks/NonDissipativePhotosphere_Deep.ipynb index 05299d4f..5bc062e0 100644 --- a/notebooks/NonDissipativePhotosphere_Deep.ipynb +++ b/notebooks/NonDissipativePhotosphere_Deep.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "02124467", + "id": "07ddf275", "metadata": { "papermill": { - "duration": 0.00481, - "end_time": "2024-05-08T19:20:17.218052", + "duration": 0.004688, + "end_time": "2024-05-08T19:29:55.057946", "exception": false, - "start_time": "2024-05-08T19:20:17.213242", + "start_time": "2024-05-08T19:29:55.053258", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "fb044f2b", + "id": "bf8a3e11", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:17.228423Z", - "iopub.status.busy": "2024-05-08T19:20:17.227958Z", - "iopub.status.idle": "2024-05-08T19:20:18.624732Z", - "shell.execute_reply": "2024-05-08T19:20:18.624223Z" + "iopub.execute_input": "2024-05-08T19:29:55.066704Z", + "iopub.status.busy": "2024-05-08T19:29:55.066461Z", + "iopub.status.idle": "2024-05-08T19:29:56.856330Z", + "shell.execute_reply": "2024-05-08T19:29:56.855509Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.403146, - "end_time": "2024-05-08T19:20:18.626239", + "duration": 1.796828, + "end_time": "2024-05-08T19:29:56.858704", "exception": false, - "start_time": "2024-05-08T19:20:17.223093", + "start_time": "2024-05-08T19:29:55.061876", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "94ebc1d1", + "id": "d6f125c9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:18.629651Z", - "iopub.status.busy": "2024-05-08T19:20:18.629328Z", - "iopub.status.idle": "2024-05-08T19:20:18.637785Z", - "shell.execute_reply": "2024-05-08T19:20:18.637409Z" + "iopub.execute_input": "2024-05-08T19:29:56.863211Z", + "iopub.status.busy": "2024-05-08T19:29:56.862760Z", + "iopub.status.idle": "2024-05-08T19:29:56.872242Z", + "shell.execute_reply": "2024-05-08T19:29:56.871569Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011491, - "end_time": "2024-05-08T19:20:18.639138", + "duration": 0.013889, + "end_time": "2024-05-08T19:29:56.874336", "exception": false, - "start_time": "2024-05-08T19:20:18.627647", + "start_time": "2024-05-08T19:29:56.860447", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "ca998be1", + "id": "bf47a0d9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:18.642059Z", - "iopub.status.busy": "2024-05-08T19:20:18.641915Z", - "iopub.status.idle": "2024-05-08T19:20:18.650017Z", - "shell.execute_reply": "2024-05-08T19:20:18.649555Z" + "iopub.execute_input": "2024-05-08T19:29:56.878100Z", + "iopub.status.busy": "2024-05-08T19:29:56.877826Z", + "iopub.status.idle": "2024-05-08T19:29:56.881071Z", + "shell.execute_reply": "2024-05-08T19:29:56.880315Z" }, "papermill": { - "duration": 0.010971, - "end_time": "2024-05-08T19:20:18.651280", + "duration": 0.007271, + "end_time": "2024-05-08T19:29:56.883021", "exception": false, - "start_time": "2024-05-08T19:20:18.640309", + "start_time": "2024-05-08T19:29:56.875750", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "1648bff6", + "id": "f59149e3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:18.654050Z", - 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Creating a point source

-
19:19:56 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
+
19:29:29 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48
                   available
diff --git a/notebooks/Point_source_tutorial.ipynb b/notebooks/Point_source_tutorial.ipynb index c33681ed..9e923778 100644 --- a/notebooks/Point_source_tutorial.ipynb +++ b/notebooks/Point_source_tutorial.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "fee8cc06", + "id": "8ae363a1", "metadata": {}, "source": [ "# Point sources #\n", @@ -19,25 +19,25 @@ { "cell_type": "code", "execution_count": 1, - "id": "6f6ff1a5", + "id": "6cde5894", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:55.837459Z", - "iopub.status.busy": "2024-05-08T19:19:55.836875Z", - "iopub.status.idle": "2024-05-08T19:19:56.990152Z", - "shell.execute_reply": "2024-05-08T19:19:56.989608Z" + "iopub.execute_input": "2024-05-08T19:29:28.933278Z", + "iopub.status.busy": "2024-05-08T19:29:28.932806Z", + "iopub.status.idle": "2024-05-08T19:29:30.341517Z", + "shell.execute_reply": "2024-05-08T19:29:30.340658Z" } }, "outputs": [ { "data": { "text/html": [ - "
19:19:56 WARNING   The naima package is not available. Models that depend on it will not be         functions.py:48\n",
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        "                  available                                                                                        \n",
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Models that depend on it \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=520855;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py\u001b\\\u001b[2mfunctions.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=991541;file:///Users/runner/work/astromodels/astromodels/astromodels/functions/functions_1D/functions.py#69\u001b\\\u001b[2m69\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mwill not be available. \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" ] }, @@ -67,7 +67,7 @@ }, { "cell_type": "markdown", - "id": "9d90d4a0", + "id": "1a6c46cf", "metadata": {}, "source": [ "We can also use Galactic coordinates:" @@ -76,13 +76,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "9eb351fb", + "id": "9a5a475d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:56.992659Z", - "iopub.status.busy": "2024-05-08T19:19:56.992395Z", - "iopub.status.idle": "2024-05-08T19:19:57.001348Z", - "shell.execute_reply": "2024-05-08T19:19:57.000987Z" + "iopub.execute_input": "2024-05-08T19:29:30.345660Z", + "iopub.status.busy": "2024-05-08T19:29:30.345083Z", + "iopub.status.idle": "2024-05-08T19:29:30.350090Z", + "shell.execute_reply": "2024-05-08T19:29:30.348885Z" } }, "outputs": [], @@ -92,7 +92,7 @@ }, { "cell_type": "markdown", - "id": "197a6708", + "id": "e554abb7", "metadata": {}, "source": [ "As spectral shape we can use any function or any composite function (see\n", @@ -101,7 +101,7 @@ }, { "cell_type": "markdown", - "id": "a3e3a6c8", + "id": "748bea12", "metadata": {}, "source": [ "## Getting info about a point source\n", @@ -114,13 +114,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "0d723cff", + "id": "e5b472c1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.003307Z", - "iopub.status.busy": "2024-05-08T19:19:57.003211Z", - "iopub.status.idle": "2024-05-08T19:19:57.013611Z", - "shell.execute_reply": "2024-05-08T19:19:57.013218Z" + "iopub.execute_input": "2024-05-08T19:29:30.353560Z", + "iopub.status.busy": "2024-05-08T19:29:30.353268Z", + "iopub.status.idle": "2024-05-08T19:29:30.361069Z", + "shell.execute_reply": "2024-05-08T19:29:30.359775Z" } }, "outputs": [ @@ -319,13 +319,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "3dd6dc6b", + "id": "c67dd04b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.015581Z", - "iopub.status.busy": "2024-05-08T19:19:57.015471Z", - "iopub.status.idle": "2024-05-08T19:19:57.025127Z", - "shell.execute_reply": "2024-05-08T19:19:57.024756Z" + "iopub.execute_input": "2024-05-08T19:29:30.364350Z", + "iopub.status.busy": "2024-05-08T19:29:30.364060Z", + "iopub.status.idle": "2024-05-08T19:29:30.369692Z", + "shell.execute_reply": "2024-05-08T19:29:30.369074Z" } }, "outputs": [ @@ -385,7 +385,7 @@ }, { "cell_type": "markdown", - "id": "013b64b8", + "id": "c5676686", "metadata": {}, "source": [ "As you can see we have created a point source with one component automatically named \"main\", with a power law spectrum, at the\n", @@ -394,7 +394,7 @@ }, { "cell_type": "markdown", - "id": "b2dfd183", + "id": "4cace120", "metadata": {}, "source": [ "## Converting between coordinate systems\n", @@ -407,13 +407,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "8d212b21", + "id": "f9195ead", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.027075Z", - "iopub.status.busy": "2024-05-08T19:19:57.026973Z", - "iopub.status.idle": "2024-05-08T19:19:57.045416Z", - "shell.execute_reply": "2024-05-08T19:19:57.045053Z" + "iopub.execute_input": "2024-05-08T19:29:30.373423Z", + "iopub.status.busy": "2024-05-08T19:29:30.373168Z", + "iopub.status.idle": "2024-05-08T19:29:30.391329Z", + "shell.execute_reply": "2024-05-08T19:29:30.390392Z" } }, "outputs": [ @@ -470,7 +470,7 @@ }, { "cell_type": "markdown", - "id": "5a28983b", + "id": "cd957699", "metadata": {}, "source": [ "For more control on the output and many more options, such as transform\n", @@ -482,13 +482,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "70997c47", + "id": "8d03b490", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.047306Z", - "iopub.status.busy": "2024-05-08T19:19:57.047208Z", - "iopub.status.idle": "2024-05-08T19:19:57.051106Z", - "shell.execute_reply": "2024-05-08T19:19:57.050733Z" + "iopub.execute_input": "2024-05-08T19:29:30.394888Z", + "iopub.status.busy": "2024-05-08T19:29:30.394638Z", + "iopub.status.idle": "2024-05-08T19:29:30.400054Z", + "shell.execute_reply": "2024-05-08T19:29:30.399387Z" } }, "outputs": [ @@ -509,7 +509,7 @@ }, { "cell_type": "markdown", - "id": "e25dd666", + "id": "c6d0df07", "metadata": {}, "source": [ "## Gotcha while accessing coordinates\n", @@ -524,13 +524,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "07dbdafe", + "id": "40200c1b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.052999Z", - "iopub.status.busy": "2024-05-08T19:19:57.052870Z", - "iopub.status.idle": "2024-05-08T19:19:57.056265Z", - "shell.execute_reply": "2024-05-08T19:19:57.055862Z" + "iopub.execute_input": "2024-05-08T19:29:30.404060Z", + "iopub.status.busy": "2024-05-08T19:29:30.403823Z", + "iopub.status.idle": "2024-05-08T19:29:30.409103Z", + "shell.execute_reply": "2024-05-08T19:29:30.408562Z" } }, "outputs": [ @@ -581,7 +581,7 @@ }, { "cell_type": "markdown", - "id": "973e61c4", + "id": "d94dd186", "metadata": {}, "source": [ "The following would instead throw `AttributeError`, since `simple_source_icrs` was instanced using R.A. and Dec. and hence does not have the `l`, `b` parameters:" @@ -590,13 +590,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "6306f022", + "id": "704027f9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.058524Z", - "iopub.status.busy": "2024-05-08T19:19:57.058431Z", - "iopub.status.idle": "2024-05-08T19:19:57.060579Z", - "shell.execute_reply": "2024-05-08T19:19:57.060178Z" + "iopub.execute_input": "2024-05-08T19:29:30.413805Z", + "iopub.status.busy": "2024-05-08T19:29:30.413346Z", + "iopub.status.idle": "2024-05-08T19:29:30.418908Z", + "shell.execute_reply": "2024-05-08T19:29:30.418080Z" } }, "outputs": [ @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "222eb03d", + "id": "0cf4e43d", "metadata": {}, "source": [ "In all cases, independently on how the source was instanced, you can obtain the *values* of coordinates in degrees\n", @@ -627,13 +627,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "d7a59471", + "id": "f70a3a04", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.062533Z", - "iopub.status.busy": "2024-05-08T19:19:57.062399Z", - "iopub.status.idle": "2024-05-08T19:19:57.065682Z", - "shell.execute_reply": "2024-05-08T19:19:57.065186Z" + "iopub.execute_input": "2024-05-08T19:29:30.425822Z", + "iopub.status.busy": "2024-05-08T19:29:30.425472Z", + "iopub.status.idle": "2024-05-08T19:29:30.434018Z", + "shell.execute_reply": "2024-05-08T19:29:30.433371Z" } }, "outputs": [ @@ -671,7 +671,7 @@ }, { "cell_type": "markdown", - "id": "e6a81b6e", + "id": "75bb6ab3", "metadata": {}, "source": [ "## Fitting the source position\n", @@ -682,13 +682,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "035237a0", + "id": "f7380d7f", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.067640Z", - "iopub.status.busy": "2024-05-08T19:19:57.067544Z", - "iopub.status.idle": "2024-05-08T19:19:57.075897Z", - "shell.execute_reply": "2024-05-08T19:19:57.075521Z" + "iopub.execute_input": "2024-05-08T19:29:30.437326Z", + "iopub.status.busy": "2024-05-08T19:29:30.437081Z", + "iopub.status.idle": "2024-05-08T19:29:30.446740Z", + "shell.execute_reply": "2024-05-08T19:29:30.446000Z" } }, "outputs": [ @@ -710,7 +710,7 @@ }, { "cell_type": "markdown", - "id": "d6f02ff0", + "id": "4354b07e", "metadata": {}, "source": [ "For a source created in Galactic coordinates, instead use the following:" @@ -719,13 +719,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "bb76f1c7", + "id": "f4059c5c", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.077767Z", - "iopub.status.busy": "2024-05-08T19:19:57.077673Z", - "iopub.status.idle": "2024-05-08T19:19:57.086125Z", - "shell.execute_reply": "2024-05-08T19:19:57.085762Z" + "iopub.execute_input": "2024-05-08T19:29:30.450236Z", + "iopub.status.busy": "2024-05-08T19:29:30.449961Z", + "iopub.status.idle": "2024-05-08T19:29:30.454198Z", + "shell.execute_reply": "2024-05-08T19:29:30.453202Z" } }, "outputs": [ @@ -747,7 +747,7 @@ }, { "cell_type": "markdown", - "id": "9df60a66", + "id": "768e71b1", "metadata": {}, "source": [ "By default, the allowed range for the Right Ascension is from 0˚ to 360˚ and allowed declination values range from -90˚ to 90˚. **If fitting the source position, it is strongly recommended to restrict the coordinates to be inside the region of interest (ROI) at all times.** The source moving far enough from the ROI during the fit can lead to issues such as the minimizer getting \"stuck\" due to the likelihood surface being flat. For example:" @@ -756,13 +756,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "84367fca", + "id": "7498a21e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.088015Z", - "iopub.status.busy": "2024-05-08T19:19:57.087917Z", - "iopub.status.idle": "2024-05-08T19:19:57.091498Z", - "shell.execute_reply": "2024-05-08T19:19:57.091142Z" + "iopub.execute_input": "2024-05-08T19:29:30.458074Z", + "iopub.status.busy": "2024-05-08T19:29:30.457814Z", + "iopub.status.idle": "2024-05-08T19:29:30.469698Z", + "shell.execute_reply": "2024-05-08T19:29:30.468916Z" } }, "outputs": [ @@ -804,7 +804,7 @@ }, { "cell_type": "markdown", - "id": "03855e97", + "id": "f4ebe7de", "metadata": {}, "source": [ "## \"Calling\" a point source\n", @@ -815,13 +815,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "64df3beb", + "id": "bdb3bdaa", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:57.093458Z", - "iopub.status.busy": "2024-05-08T19:19:57.093328Z", - "iopub.status.idle": "2024-05-08T19:19:57.601827Z", - "shell.execute_reply": "2024-05-08T19:19:57.601385Z" + "iopub.execute_input": "2024-05-08T19:29:30.474294Z", + "iopub.status.busy": "2024-05-08T19:29:30.474025Z", + "iopub.status.idle": "2024-05-08T19:29:31.100874Z", + "shell.execute_reply": "2024-05-08T19:29:31.099829Z" } }, "outputs": [ @@ -878,7 +878,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3fda36b9", + "id": "eb97e896", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/Power_law_on_sphere.ipynb b/notebooks/Power_law_on_sphere.ipynb index f740d08b..ed14f574 100644 --- a/notebooks/Power_law_on_sphere.ipynb +++ b/notebooks/Power_law_on_sphere.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "bd135130", + "id": "ef30ba9a", "metadata": { "papermill": { - "duration": 0.003821, - "end_time": "2024-05-08T19:22:27.694700", + "duration": 0.004109, + "end_time": "2024-05-08T19:32:30.487324", "exception": false, - "start_time": "2024-05-08T19:22:27.690879", + "start_time": "2024-05-08T19:32:30.483215", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "dc873c63", + "id": "549f734a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:27.698882Z", - "iopub.status.busy": "2024-05-08T19:22:27.698661Z", - "iopub.status.idle": "2024-05-08T19:22:29.627250Z", - "shell.execute_reply": "2024-05-08T19:22:29.626367Z" + "iopub.execute_input": "2024-05-08T19:32:30.496136Z", + "iopub.status.busy": "2024-05-08T19:32:30.495606Z", + "iopub.status.idle": "2024-05-08T19:32:32.683509Z", + "shell.execute_reply": "2024-05-08T19:32:32.682472Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.933959, - "end_time": "2024-05-08T19:22:29.629930", + "duration": 2.195682, + "end_time": "2024-05-08T19:32:32.686321", "exception": false, - "start_time": "2024-05-08T19:22:27.695971", + "start_time": "2024-05-08T19:32:30.490639", "status": "completed" }, "tags": [] @@ -68,20 +68,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "77d7a5be", + "id": "a4df0492", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:22:29.637932Z", - "iopub.status.busy": "2024-05-08T19:22:29.636428Z", - "iopub.status.idle": "2024-05-08T19:22:29.643446Z", - "shell.execute_reply": "2024-05-08T19:22:29.641639Z" + "iopub.execute_input": "2024-05-08T19:32:32.691057Z", + "iopub.status.busy": "2024-05-08T19:32:32.690570Z", + "iopub.status.idle": "2024-05-08T19:32:32.693854Z", + "shell.execute_reply": "2024-05-08T19:32:32.693085Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.014369, - "end_time": "2024-05-08T19:22:29.647041", + "duration": 0.007913, + "end_time": "2024-05-08T19:32:32.696150", "exception": false, - "start_time": "2024-05-08T19:22:29.632672", + "start_time": "2024-05-08T19:32:32.688237", "status": "completed" }, "tags": [ @@ -96,19 +96,19 @@ { "cell_type": 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b/notebooks/Powerlaw.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "93731371", + "id": "f3650fb4", "metadata": { "papermill": { - "duration": 0.012237, - "end_time": "2024-05-08T19:21:12.138210", + "duration": 0.007988, + "end_time": "2024-05-08T19:31:02.684572", "exception": false, - "start_time": "2024-05-08T19:21:12.125973", + "start_time": "2024-05-08T19:31:02.676584", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "60e13ada", + "id": "ad964962", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:12.151771Z", - "iopub.status.busy": "2024-05-08T19:21:12.151101Z", - "iopub.status.idle": "2024-05-08T19:21:13.552224Z", - "shell.execute_reply": "2024-05-08T19:21:13.551729Z" + "iopub.execute_input": "2024-05-08T19:31:02.698237Z", + "iopub.status.busy": "2024-05-08T19:31:02.697762Z", + "iopub.status.idle": "2024-05-08T19:31:04.543965Z", + "shell.execute_reply": 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false, - "start_time": "2024-05-08T19:21:13.567562", + "start_time": "2024-05-08T19:31:04.558065", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "c4b4e7f8", + "id": "7d1cc1b6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:13.581390Z", - "iopub.status.busy": "2024-05-08T19:21:13.581255Z", - "iopub.status.idle": "2024-05-08T19:21:13.590365Z", - "shell.execute_reply": "2024-05-08T19:21:13.589924Z" + "iopub.execute_input": "2024-05-08T19:31:04.575816Z", + "iopub.status.busy": "2024-05-08T19:31:04.575593Z", + "iopub.status.idle": "2024-05-08T19:31:04.580167Z", + "shell.execute_reply": "2024-05-08T19:31:04.579217Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.011976, - "end_time": "2024-05-08T19:21:13.591617", + "duration": 0.008889, + "end_time": "2024-05-08T19:31:04.582169", "exception": false, - "start_time": "2024-05-08T19:21:13.579641", + "start_time": "2024-05-08T19:31:04.573280", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "a5ac23d9", + "id": "814b5c31", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.00109, - "end_time": "2024-05-08T19:21:13.593815", + "duration": 0.001517, + "end_time": "2024-05-08T19:31:04.585201", "exception": false, - "start_time": "2024-05-08T19:21:13.592725", + "start_time": "2024-05-08T19:31:04.583684", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "e6f827d7", + "id": "ff6ffe22", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:13.596680Z", - "iopub.status.busy": "2024-05-08T19:21:13.596544Z", - "iopub.status.idle": "2024-05-08T19:21:13.600484Z", - "shell.execute_reply": "2024-05-08T19:21:13.600002Z" + "iopub.execute_input": "2024-05-08T19:31:04.589266Z", + "iopub.status.busy": "2024-05-08T19:31:04.589045Z", + "iopub.status.idle": 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"iopub.status.busy": "2024-05-08T19:21:13.607259Z", - "iopub.status.idle": "2024-05-08T19:21:14.040730Z", - "shell.execute_reply": "2024-05-08T19:21:14.040334Z" + "iopub.execute_input": "2024-05-08T19:31:04.610888Z", + "iopub.status.busy": "2024-05-08T19:31:04.610614Z", + "iopub.status.idle": "2024-05-08T19:31:05.212872Z", + "shell.execute_reply": "2024-05-08T19:31:05.211916Z" }, "papermill": { - "duration": 0.436501, - "end_time": "2024-05-08T19:21:14.042029", + "duration": 0.607431, + "end_time": "2024-05-08T19:31:05.215544", "exception": false, - "start_time": "2024-05-08T19:21:13.605528", + "start_time": "2024-05-08T19:31:04.608113", "status": "completed" }, "tags": [ @@ -404,14 +404,14 @@ }, { "cell_type": "markdown", - "id": "b3ee3ff1", + "id": "f89bfc8a", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001389, - "end_time": "2024-05-08T19:21:14.045067", + "duration": 0.00199, + "end_time": "2024-05-08T19:31:05.219662", "exception": false, - "start_time": 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+470,13 @@ }, { "cell_type": "markdown", - "id": "c355eeaf", + "id": "a1eb1696", "metadata": { "papermill": { - "duration": 0.001665, - "end_time": "2024-05-08T19:21:14.279610", + "duration": 0.001894, + "end_time": "2024-05-08T19:31:05.560205", "exception": false, - "start_time": "2024-05-08T19:21:14.277945", + "start_time": "2024-05-08T19:31:05.558311", "status": "completed" }, "tags": [] @@ -491,19 +491,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "418497e9", + "id": "7e2a3c9b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:14.283605Z", - "iopub.status.busy": "2024-05-08T19:21:14.283463Z", - "iopub.status.idle": "2024-05-08T19:21:14.527105Z", - "shell.execute_reply": "2024-05-08T19:21:14.526772Z" + "iopub.execute_input": "2024-05-08T19:31:05.564776Z", + "iopub.status.busy": "2024-05-08T19:31:05.564572Z", + "iopub.status.idle": "2024-05-08T19:31:05.938853Z", + "shell.execute_reply": "2024-05-08T19:31:05.938145Z" }, "papermill": { - "duration": 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", 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", 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" ] @@ -503,8 +503,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.307174, - "end_time": "2024-05-08T19:23:06.472831", + "duration": 3.24419, + "end_time": "2024-05-08T19:33:14.334569", "environment_variables": {}, "exception": null, "input_path": "Powerlaw_Prior.ipynb", @@ -513,7 +513,7 @@ "func_name": "Powerlaw_Prior", "positive_prior": true }, - "start_time": "2024-05-08T19:23:03.165657", + "start_time": "2024-05-08T19:33:11.090379", "version": "2.6.0" } }, diff --git a/notebooks/Powerlaw_flux.ipynb b/notebooks/Powerlaw_flux.ipynb index 24378572..1384584f 100644 --- a/notebooks/Powerlaw_flux.ipynb +++ b/notebooks/Powerlaw_flux.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "cc0451f9", + "id": "07457b04", "metadata": { "papermill": { - "duration": 0.005422, - "end_time": "2024-05-08T19:21:15.593735", + "duration": 0.004417, + "end_time": "2024-05-08T19:31:07.077491", "exception": false, - "start_time": "2024-05-08T19:21:15.588313", + "start_time": "2024-05-08T19:31:07.073074", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "a0df39eb", + "id": "085c2272", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:15.603492Z", - "iopub.status.busy": "2024-05-08T19:21:15.603030Z", - "iopub.status.idle": "2024-05-08T19:21:16.997350Z", - "shell.execute_reply": "2024-05-08T19:21:16.996827Z" + "iopub.execute_input": "2024-05-08T19:31:07.087549Z", + "iopub.status.busy": "2024-05-08T19:31:07.087083Z", + "iopub.status.idle": "2024-05-08T19:31:08.904677Z", + "shell.execute_reply": "2024-05-08T19:31:08.903864Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.400453, - "end_time": "2024-05-08T19:21:16.998881", + "duration": 1.825396, + "end_time": "2024-05-08T19:31:08.907103", "exception": false, - "start_time": "2024-05-08T19:21:15.598428", + "start_time": "2024-05-08T19:31:07.081707", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { 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"2024-05-08T19:21:17.037786", + "start_time": "2024-05-08T19:31:08.943938", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "9ce1200f", + "id": "934fbd3d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.041792Z", - "iopub.status.busy": "2024-05-08T19:21:17.041649Z", - "iopub.status.idle": "2024-05-08T19:21:17.046068Z", - "shell.execute_reply": "2024-05-08T19:21:17.045681Z" + "iopub.execute_input": "2024-05-08T19:31:08.949013Z", + "iopub.status.busy": "2024-05-08T19:31:08.948734Z", + "iopub.status.idle": "2024-05-08T19:31:08.961165Z", + "shell.execute_reply": "2024-05-08T19:31:08.960545Z" }, "papermill": { - "duration": 0.007283, - "end_time": "2024-05-08T19:21:17.047293", + "duration": 0.0166, + "end_time": "2024-05-08T19:31:08.963065", "exception": false, - "start_time": "2024-05-08T19:21:17.040010", + "start_time": "2024-05-08T19:31:08.946465", "status": "completed" }, "tags": [] @@ -370,13 +370,13 @@ }, { "cell_type": "markdown", - "id": "168105f4", + "id": "82d000fb", "metadata": { "papermill": { - "duration": 0.001259, - "end_time": "2024-05-08T19:21:17.049808", + "duration": 0.001647, + "end_time": "2024-05-08T19:31:08.966523", "exception": false, - "start_time": "2024-05-08T19:21:17.048549", + "start_time": "2024-05-08T19:31:08.964876", "status": "completed" }, "tags": [] @@ -392,19 +392,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "366f406e", + "id": "f8a15245", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.052839Z", - "iopub.status.busy": "2024-05-08T19:21:17.052693Z", - "iopub.status.idle": "2024-05-08T19:21:17.491198Z", - "shell.execute_reply": "2024-05-08T19:21:17.490736Z" + "iopub.execute_input": "2024-05-08T19:31:08.970753Z", + "iopub.status.busy": "2024-05-08T19:31:08.970528Z", + "iopub.status.idle": "2024-05-08T19:31:09.550621Z", + "shell.execute_reply": "2024-05-08T19:31:09.549044Z" }, "papermill": { - "duration": 0.441518, - "end_time": "2024-05-08T19:21:17.492515", + "duration": 0.584738, + "end_time": "2024-05-08T19:31:09.552712", "exception": false, - "start_time": "2024-05-08T19:21:17.050997", + "start_time": "2024-05-08T19:31:08.967974", "status": "completed" }, "tags": [ @@ -437,14 +437,14 @@ }, { "cell_type": "markdown", - "id": "c18ac6f6", + "id": "81efdadd", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001405, - "end_time": "2024-05-08T19:21:17.495553", + "duration": 0.001806, + "end_time": "2024-05-08T19:31:09.556672", "exception": false, - "start_time": "2024-05-08T19:21:17.494148", + "start_time": "2024-05-08T19:31:09.554866", "status": "completed" }, "tags": [] @@ -459,19 +459,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "19544188", + "id": "dfba7ec4", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.498936Z", - "iopub.status.busy": "2024-05-08T19:21:17.498787Z", - "iopub.status.idle": "2024-05-08T19:21:17.716133Z", - "shell.execute_reply": "2024-05-08T19:21:17.715817Z" + "iopub.execute_input": "2024-05-08T19:31:09.561591Z", + "iopub.status.busy": "2024-05-08T19:31:09.561340Z", + "iopub.status.idle": "2024-05-08T19:31:09.872998Z", + "shell.execute_reply": "2024-05-08T19:31:09.872376Z" }, "papermill": { - "duration": 0.22066, - "end_time": "2024-05-08T19:21:17.717523", + "duration": 0.316763, + "end_time": "2024-05-08T19:31:09.875207", "exception": false, - "start_time": "2024-05-08T19:21:17.496863", + "start_time": "2024-05-08T19:31:09.558444", "status": "completed" }, "tags": [] @@ -503,13 +503,13 @@ }, { "cell_type": "markdown", - "id": "7dfcdd79", + "id": "0f0d0d6f", "metadata": { "papermill": { - "duration": 0.001803, - "end_time": "2024-05-08T19:21:17.721312", + "duration": 0.001935, + "end_time": "2024-05-08T19:31:09.879406", "exception": false, - "start_time": "2024-05-08T19:21:17.719509", + "start_time": "2024-05-08T19:31:09.877471", "status": "completed" }, "tags": [] @@ -524,19 +524,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "e5a9bea0", + "id": "496d0391", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:17.725330Z", - "iopub.status.busy": "2024-05-08T19:21:17.725184Z", - "iopub.status.idle": "2024-05-08T19:21:17.968126Z", - "shell.execute_reply": "2024-05-08T19:21:17.967730Z" + "iopub.execute_input": "2024-05-08T19:31:09.884626Z", + "iopub.status.busy": "2024-05-08T19:31:09.884382Z", + "iopub.status.idle": "2024-05-08T19:31:10.230488Z", + "shell.execute_reply": "2024-05-08T19:31:10.229810Z" }, "papermill": { - "duration": 0.246615, - "end_time": "2024-05-08T19:21:17.969513", + "duration": 0.351366, + "end_time": "2024-05-08T19:31:10.232576", "exception": false, - "start_time": "2024-05-08T19:21:17.722898", + "start_time": "2024-05-08T19:31:09.881210", "status": "completed" }, "tags": [] @@ -589,8 +589,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.327864, - "end_time": "2024-05-08T19:21:18.304685", + "duration": 4.278592, + "end_time": "2024-05-08T19:31:10.782470", "environment_variables": {}, "exception": null, "input_path": "Powerlaw_flux.ipynb", @@ -602,7 +602,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:21:14.976821", + "start_time": "2024-05-08T19:31:06.503878", "version": "2.6.0" } }, diff --git a/notebooks/Priors_for_Bayesian_analysis.ipynb b/notebooks/Priors_for_Bayesian_analysis.ipynb index 1c933575..fecc24ad 100644 --- a/notebooks/Priors_for_Bayesian_analysis.ipynb +++ b/notebooks/Priors_for_Bayesian_analysis.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "eec45e00", + "id": "cf19bb96", "metadata": {}, "source": [ "# Priors for Bayesian analysis\n", @@ -18,13 +18,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "394c4e27", + "id": "31a3d99d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:58.693146Z", - "iopub.status.busy": "2024-05-08T19:19:58.692534Z", - "iopub.status.idle": "2024-05-08T19:19:59.850244Z", - "shell.execute_reply": "2024-05-08T19:19:59.849782Z" + "iopub.execute_input": "2024-05-08T19:29:32.338272Z", + "iopub.status.busy": "2024-05-08T19:29:32.337580Z", + "iopub.status.idle": "2024-05-08T19:29:33.736903Z", + "shell.execute_reply": "2024-05-08T19:29:33.736144Z" }, "lines_to_next_cell": 2 }, @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "922a2c68", + "id": "0363bd3d", "metadata": {}, "source": [ "Now let’s assign uniform priors to the parameters of the powerlaw\n", @@ -52,13 +52,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "2f6ec6e4", + "id": "85e7cbc8", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.852676Z", - "iopub.status.busy": "2024-05-08T19:19:59.852427Z", - "iopub.status.idle": "2024-05-08T19:19:59.855535Z", - "shell.execute_reply": "2024-05-08T19:19:59.855177Z" + "iopub.execute_input": "2024-05-08T19:29:33.741013Z", + "iopub.status.busy": "2024-05-08T19:29:33.740444Z", + "iopub.status.idle": "2024-05-08T19:29:33.745748Z", + "shell.execute_reply": "2024-05-08T19:29:33.744986Z" } }, "outputs": [ @@ -163,7 +163,7 @@ }, { "cell_type": "markdown", - "id": "e3d2a22c", + "id": "976465cc", "metadata": {}, "source": [ "We can use it as such:" @@ -172,13 +172,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "0ab06b47", + "id": "7b03f1e2", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.857614Z", - "iopub.status.busy": "2024-05-08T19:19:59.857476Z", - "iopub.status.idle": "2024-05-08T19:19:59.860801Z", - "shell.execute_reply": "2024-05-08T19:19:59.860340Z" + "iopub.execute_input": "2024-05-08T19:29:33.750877Z", + "iopub.status.busy": "2024-05-08T19:29:33.750569Z", + "iopub.status.idle": "2024-05-08T19:29:33.756419Z", + "shell.execute_reply": "2024-05-08T19:29:33.755542Z" } }, "outputs": [ @@ -208,7 +208,7 @@ }, { "cell_type": "markdown", - "id": "9fb9dc9f", + "id": "4bb89684", "metadata": {}, "source": [ "Now, lets's set a Gaussian prior on the spectral index" @@ -217,13 +217,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "b3755eb7", + "id": "1972b061", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.862740Z", - "iopub.status.busy": "2024-05-08T19:19:59.862642Z", - "iopub.status.idle": "2024-05-08T19:19:59.865599Z", - "shell.execute_reply": "2024-05-08T19:19:59.865246Z" + "iopub.execute_input": "2024-05-08T19:29:33.760603Z", + "iopub.status.busy": "2024-05-08T19:29:33.760353Z", + "iopub.status.idle": "2024-05-08T19:29:33.765168Z", + "shell.execute_reply": "2024-05-08T19:29:33.764232Z" } }, "outputs": [ @@ -252,13 +252,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "29488e6b", + "id": "d817eea0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:19:59.867505Z", - "iopub.status.busy": "2024-05-08T19:19:59.867379Z", - "iopub.status.idle": "2024-05-08T19:20:00.184883Z", - "shell.execute_reply": "2024-05-08T19:20:00.184464Z" + "iopub.execute_input": "2024-05-08T19:29:33.768738Z", + "iopub.status.busy": "2024-05-08T19:29:33.768515Z", + "iopub.status.idle": "2024-05-08T19:29:34.151558Z", + "shell.execute_reply": "2024-05-08T19:29:34.150691Z" } }, "outputs": [ @@ -274,7 +274,7 @@ }, { "data": { - "image/png": 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+O/77v/87B9MDAAD0HAW53PmqVasiImLMmDENy0aNGhUFBQWxbNmyOP300xutv3HjxiguLm747969e0deXl7U1ta2e4axY8e2eNukSZNi//33b/e2AQAAuktO37lbu3ZtDBw4MAoLCxuWFRYWRr9+/Zp9527cuHHxwAMPxPPPPx81NTXxve99L4qLi2P06NHdOTYAAECPk9N37qqqqqKoqKjJ8uLi4mZ/ju7yyy+PRx99NM4444zIy8uLTCYTV199dey5557tnmHx4sUt3rZmzRo/zwcAAOwSchp3JSUlUV1d3WR5TU1NlJSUNFl+xRVXRGFhYfz0pz+NvffeOx5//PG47bbb4oADDogTTzyxO0YGAADokXIadwMHDozy8vKora1t+GhmXV1dlJeXx9ChQxut+/zzz8fy5cvj3nvvjaOOOioiIg499NB4+umn48EHHxR3AADAx1pOf+aurKwsMplMrFy5smHZihUrIpPJNPk5um3btjW7jcLCwujdu3eXzgkAANDT5TTuSkpK4owzzogbb7wxVqxYEU888URMmzYtzjnnnCguLo6Kiop44403IiKitLQ0DjzwwPjWt74VTz75ZDz//PPxb//2b/HYY4/FWWedlcuHAQAAkHN5mUwmk8sBtmzZErNmzYqHHnooCgoKYvz48TF58uTo1atXTJkyJZYvXx6LFi2KiIgNGzbED37wg3j88cdj48aNsf/++8cVV1wRp5xySpfMtv2CKn379o3S0tIu2QcAAMDOZNslOY+7nkzcAQAAuZZtl+T0Y5kAAAB0DnEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQgJzHXW1tbUyfPj3Kyspi9OjRMW3atKiqqmpx/UWLFsX48eNj5MiRccopp8SDDz7YjdMCAAD0TDmPu9mzZ8eSJUtizpw5MW/evFizZk1ce+21za77pz/9Ka666qoYP358LFiwID73uc/FtddeGy+99FI3Tw0AANCzFORy5xs3bowFCxbE3LlzY8yYMRERMXXq1LjggguioqIi+vfv32j9n/zkJ3HKKafEV77ylYiIKC0tjeXLl8dTTz0Vn/rUp7p9fgAAgJ4ip+/crVq1KiKiIewiIkaNGhUFBQWxbNmyRuvW1dXFU089FZ/73OcaLf/lL38Z//RP/9T1wwIAAPRgOX3nbu3atTFw4MAoLCxsWFZYWBj9+vWLioqKRuuuW7cutmzZEu+9916ce+658de//jWGDx8eX/va1+Kkk05q9wxjx45t8bZJkybF/vvv3+5tAwAAdJecvnNXVVUVRUVFTZYXFxc3uajK+++/HxERt912W/yf//N/4s4774xjjz02vva1r8XKlSu7ZV4AAICeKqfv3JWUlER1dXWT5TU1NVFSUtJoWX19fUREXHbZZfH5z38+IiIOO+ywWLZsWSxcuDCOOuqods2wePHiFm9bs2bNTq/cCQAA0FPk9J27gQMHRnl5edTW1jYsq6uri/Ly8hg6dGijdbdfXGXHj0l++tOfjvLy8q4fFgAAoAfLadyVlZVFJpNp9LHKFStWRCaTidGjRzdad9iwYdG/f/947rnnGi1/8cUX/VwcAADwsZfzj2WeccYZceONN8bMmTNj8+bNMWPGjDjnnHOiuLg4Kioqorq6OoYOHRr5+fnx5S9/OebOnRsDBgyIESNGxB/+8Id48cUX4wc/+EEuHwYAAEDO5TTuIiKuv/76mDVrVkycODEKCgpi/PjxMXny5IiIuPXWW2P58uWxaNGiiIj48pe/HLvttlv88Ic/jA0bNkRpaWnccccdMXjw4Fw+BAAAgJzLy2QymVwP0VNtv6BK3759o7S0NNfjAAAAH0PZdklOf+YOAACAziHuAAAAEiDuAAAAEiDuAAAAEiDuAAAAEiDuAAAAEtDmuNu6dWscdthh8dhjj3XFPAAAALRDm+OuV69eMXr06Fi6dGlXzAMAAEA7FLTnTueff35MmTIltm3bFuPGjYs+ffo0WWfMmDEdHg4AAIDs5GUymUxb79TSb0XPy8uLTCYTeXl58dxzz3V4uFzL9jfBAwAAdJVsu6Rd79z9/Oc/b/dgAAAAdL52xd3RRx/d2XMAAADQAe2Ku4gP3xr8/ve/H6tWrYrNmzfHwIEDY9y4cfHVr341Bg8e3JkzAgAA0Ip2xd2aNWvi3HPPjU984hPxj//4j9G3b99444034t///d/joYceinvvvTc+/elPd/asAAAAtKBdcXfbbbfFIYccEnfeeWf07t27YfnGjRvjK1/5Snzve9+LH/3oR502JAAAADvX5t9zFxGxYsWKOOeccxqFXURESUlJ/NM//VOsXLmyU4YDAAAgO+2Ku0wmE3V1dc3eVl9fH9XV1R0aCgAAgLZpV9wdfvjhcd9990VtbW2j5ZlMJh588ME46KCDOmU4AAAAstOun7n7+te/Hueff36cdtpp8bnPfS4GDx4clZWV8Yc//CFefvnl+PGPf9zZcwIAALAT7Yq7kSNHxt133x3/8i//EnfddVfDRzRLS0vjRz/6UZxwwgmdOiQAAAA71+7fczdy5Mj4t3/7t6itrY133303+vbtG7vvvntnzgYAAECWso67pUuXxogRI2LPPfeMpUuXtrr+mDFjOjQYAAAA2cs67i6++OL413/91xg7dmxcfPHFkZeXF5lMptE625fl5eXFc8891+nDAgAA0Lys4+7nP/95lJaWNvx/AAAAeo6s4+7oo4+OiIitW7fGm2++GWPGjIlBgwZ12WAAAABkr82/565Xr14xe/bsWLFiRVfMAwAAQDu065eYn3/++XH33XfHli1bOnseAAAA2qFdvwrh/fffj1dffTVOPvnkOPLII6NPnz6Nbs/Ly4tvf/vbnTIgAAAArWtX3D322GPRt2/fiIh45plnmtyel5fXsakAAABokzbH3fvvvx8/+MEP4pOf/GTsvffeXTETAAAAbZR13G3ZsiWmT58e//Ef/9Gw7Ljjjosbb7wxBg8e3CXDAQAAkJ2s4+6HP/xh/Pa3v40JEybEyJEj46233opf/OIXcfnll8fChQu7cEQAAABak3XcPfzww3HxxRfH5MmTG5aNGDEirr766nj11Vfj7/7u77piPgAAALKQ9a9CePPNN2P06NGNlh1zzDGRyWTi3Xff7fTBAAAAyF7WcZfJZKKwsLDRsqKioobbAAAAyJ12/RJzAAAAepY2xV1Lv7/O77UDAADIrTb9nrtLL7202eVf+tKXGv13Xl5ePPvss+2fCgAAgDbJOu7OPPPMrpwDAACADsg67mbPnt2VcwAAANABLqgCAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQAHEHAACQgJzHXW1tbUyfPj3Kyspi9OjRMW3atKiqqmr1fi+//HKMGjUq/vCHP3TDlAAAAD1bzuNu9uzZsWTJkpgzZ07Mmzcv1qxZE9dee+1O77Nt27aYMmVKVFdXd9OUAAAAPVtBLne+cePGWLBgQcydOzfGjBkTERFTp06NCy64ICoqKqJ///7N3u/OO++MoqKi7hwVAACgR8vpO3erVq2KiGgIu4iIUaNGRUFBQSxbtqzZ+7zwwgtx5513xqxZs7plRgAAgF1BTt+5W7t2bQwcODAKCwsblhUWFka/fv2ioqKiyfp1dXUxZcqUuOqqq2LYsGGdMsPYsWNbvG3SpEmx//77d8p+AAAAulJO37mrqqpq9uOVxcXFzV5U5Sc/+Un07ds3vvSlL3XHeAAAALuMnL5zV1JS0uxFUWpqaqKkpKTRsueeey7mz58fDzzwQOTl5XXaDIsXL27xtjVr1mR15U4AAIBcy+k7dwMHDozy8vKora1tWFZXVxfl5eUxdOjQRusuW7YsNm3aFKeffnqMHDkyRo4cGRER3/jGN+Lss8/u1rkBAAB6mpy+c1dWVhaZTCZWrlwZxx57bERErFixIjKZTIwePbrRumeeeWaMGzeu0bLTTz89rrnmmjjppJO6bWYAAICeKOcfyzzjjDPixhtvjJkzZ8bmzZtjxowZcc4550RxcXFUVFREdXV1DB06NPbcc8/Yc889m2xj4MCBsc8+++RgegAAgJ4jp3EXEXH99dfHrFmzYuLEiVFQUBDjx4+PyZMnR0TErbfeGsuXL49FixbleEoAAICeLS+TyWRyPURPtf2CKn379o3S0tJcjwMAAHwMZdslOb2gCgAAAJ1D3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACRA3AEAACQg53FXW1sb06dPj7Kyshg9enRMmzYtqqqqml23rq4ubrvttjj++OPj0EMPjdNPPz1+//vfd/PEAAAAPU/O42727NmxZMmSmDNnTsybNy/WrFkT1157bbPr/uhHP4pf/OIXMWXKlPj1r38d//iP/xj//M//HM8880w3Tw0AANCzFORy5xs3bowFCxbE3LlzY8yYMRERMXXq1LjggguioqIi+vfv32j9+++/Py677LI4/fTTIyKitLQ0li5dGvfdd1/ceOON3T4/AABAT5HTd+5WrVoVEdEQdhERo0aNioKCgli2bFmjdWtqamK33XaLUaNGNVrev3//KC8v7/phAQAAerCcvnO3du3aGDhwYBQWFjYsKywsjH79+kVFRUWjdXv37h1PPPFEo2WvvfZaLFmyJC666KJ2zzB27NgWb5s0aVLsv//+7d42AABAd8npO3dVVVVRVFTUZHlxcXGLF1XZ7tFHH41zzz03+vXrF5dccklXjQgAALBLyOk7dyUlJVFdXd1keU1NTZSUlDR7n8rKyrj++uvj0UcfjRNPPDFuuumm2GOPPdo9w+LFi1u8bc2aNa1GJgAAQE+Q07gbOHBglJeXR21tbcNHM+vq6qK8vDyGDh3aZP1169bF+eefH/X19XH77bfHqaee2t0jAwAA9Eg5/VhmWVlZZDKZWLlyZcOyFStWRCaTidGjRzdZ/4Ybbog+ffrEwoULhR0AAMBH5PxjmWeccUbceOONMXPmzNi8eXPMmDEjzjnnnCguLo6Kioqorq6OoUOHRmVlZSxdujRuvPHG+OCDD+KDDz5o2E5RUVEMGjQoh48EAAAgt3IadxER119/fcyaNSsmTpwYBQUFMX78+Jg8eXJERNx6662xfPnyWLRoUbz++uuRyWTiuuuua7KNo48+Ou6+++7uHh0AAKDHyMtkMplcD9FTbb+gSt++faO0tDTX4wAAAB9D2XZJTn/mDgAAgM4h7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABIg7gAAABKQ87irra2N6dOnR1lZWYwePTqmTZsWVVVVLa5/7733xoknnhh///d/HxdddFG88sor3TgtAABAz5TzuJs9e3YsWbIk5syZE/PmzYs1a9bEtdde2+y6Dz30UHznO9+JSZMmxX333ReDBg2KL3/5y1FdXd3NUwMAAPQsBbnc+caNG2PBggUxd+7cGDNmTERETJ06NS644IKoqKiI/v37N1r/zjvvjPPOOy8mTJgQERHf+ta34phjjonHH388TjvttO4ev9t9sKUuFj61Pl54Y3McOLQ4JhwzKPbok/0h/GBLXfzq/3srHl9dGRER/zCyX3xx3OBG2/joPvYdWBQREa+9U93s/tozT2v36ejtbdGR+Z9duymqt9ZH74L8OGTf3eOUUf3jdyvL47E/V8T7m+viE30L4qTD+jd5ftszy463nTKqfzz654pmj9H22555bVPU1NVHUa/8+NTg4kbrTDhmUEREs/vb8fjXbK2PpWvei4jmv14687ntTNns/6PHclP1ttiwsTZ2y8+LfxjZLz531ICG57i1+XP9WIFdR0vfL96qrI7vPPBKvPz2ltj/k33imrP2i8H9itq9zYjI+u/yjszd1eu1VXPnOdl+P2/teWzLeUJnztCR/e14rtKe88Ydz3mGDSiKp1/bFC+8WRW9e+XH544aEBecNLTJOcSO5yvtPW9ty/Oxff2PngONGL57i3O09Nz9bmX5Ts+Ve7q8TCaTydXOH3/88bjyyitj1apVUVhYGBEffkzzyCOPjG9/+9tx+umnN6y7adOmGD16dNx1111xzDHHNCy/4IILYv/9948ZM2Z0+nxr1qyJqqqq6Nu3b5SWlnb69tvigy11cfH3V8fa8r+9Szl8QFHcNWlk1ifbF85ZHa9vaPwu5z79e8f8rx/W8EW+4z4+6qP7a888rd2no7e3RWfNv13BbnlRt63pS2mfvYti/v+78/l2NktENLmtpX21dlvDTP17R+TlNfpaGD6gKH74lYPj/5n3XIvHf/t9t3+9tOfxdMc3x2z239rX+o7PY0vz5/qxAruOlr5fzL7ggLhwztONvucU7JYXv5ny960GXnPb3GfvoohMJl6vqGn2Pm39HpXt97nOXq+tPthSFxfe9pcmjzub7+fNPo8t/F3Z2nlCc+daBfl5UVff9hmy2l8Wjznb7e247Z39PflRQ/r1jh9fPqLJOUS2f5dmu/+d3b8t52jbz3m+9tPnmhyr/LyI+h2eumzO5bpDtl2S049lrl27NgYOHNgQdhERhYWF0a9fv6ioqGi07uuvvx719fUxbNiwRssHDRrUZN22GDt2bIt/Vq9e3e7tdraFT61v8gW7trw6Fj61Puv77/gFHBHxekVNwzaa20dL+2vPPK3dp6O3t0Vnzb9dS0H1+obW59vZLM3dtrN4ay3sIj485jt+Lawt//BfjVv7Jv7Rr5eWdOZxao9s9t/a1/qOz2NL8+f6sQK7jpa+X0y7+8Um33PqtmXiOw+0fk2B5rb5+obqFsNu+z7b8j0q2+9znb1eWy18an2zjzub7+fNPo8t/F3Z2nlCc+dadfXtmyGr/WXxmLPdXmvztOTNyppmzyGy/bs02/3v7P5tOUfbfs7T3LHaMewisjuX60lymqBVVVVRVNT0X6WKi4ubXFRl+3/vuH5xcXGH4m5X8cIbm5td/uKbzS/P9v4f3cbO1sl23Z3N09p9Onp7W3Tm/K1pbb6dzdKd76u//PaWrNbryOPpDtnsvz3Hsrn5c/1YgV1HS98v1r9X2+zybL4nd9XfS9nsY8dtdPZ6bdWW5yLbmbK5b1fP0NnnJZ1x3ticzjqHaG3/Ld2/q+Ztbb89UU7fuSspKWn2Yig1NTVRUlLSZN2IiC1bGh+M2traJuu2xeLFi1v8M3LkyHZvt7MdOLS42eUHDGl+ebb3/+g2drZOtuvubJ7W7tPR29uiM+dvTWvz7WyW9u6zPfb/ZJ+s1uvI4+kO2ey/Pc9rc/Pn+rECu46Wvl8M+kRhs8uz+Z7cVX8vZbOPHbfR2eu1VVuei2xnyua+XT1DZ5+XdMZ5Y3M66xyitf23dP+umre1/fZEOY27gQMHRnl5edTW/u1frerq6qK8vDyGDh3aaN0BAwZERMRbb73VaPlbb70VQ4YM6fphc2zCMYNi+IDG71ruO6Co4Qd+s7n/Pns3fZd0WP/eDdtobh8t7a8987R2n47e3hadNf92BbvlNbt82N6tz7ezWZq7raV9tXZbw0z9ezf5Wth3QFFcc9Z+Oz3+2+/bkcfTHbLZf2tf6zs+jy3Nn+vHCuw6Wvp+cfP5BzT5nlOwW15cc9Z+7drmsL2LPvx5sRa09XtUtt/nOnu9tppwzKBmH3c238+bfR5b+LuytfOE5s61CvLbN0NW+8viMWe7vdbmacnQ/r2bPYfI9u/SbPe/s/u35Rxt+zlPc8cqv5mnLptzuZ4kpxdU2bhxYxx77LExb968OPbYYyMiYunSpXHZZZfF8uXLo7i4cSWfffbZceyxx8bXv/71iPjwIivjxo2LuXPnNty/M/WkC6pE/O0qQC++uTkOGNL+q2U+8fSHVwA64dCWr5b54pubG14ka8urm91fe+Zp7T4dvb0tOjL/s+s2RXVt4ysx/W5leSz6S0W8X1UXe/btFScd1varSzY3y463bb/qU3PHaPtt269sVVSYH5/6ZHGjdT56BbAd97fj8a/ZWh9PPf9eRDT/9dKZz21nymb/Hz2Wm7Zsi4oPPrxa5gmH/u1KY9nMn+vHCuw6Wvp+0RlXy/zoNiMi67/LOzJ3V6/XVs2d52T7/by157Et5wmdOUNH9rfjuUq7r5b5ke3ss/ffrpZZ1Cs/Tm/mapnNna+097y1Lc/Hjlf3LCrMjxHDdm9xjpaeu9+tLN/puXKuZNslOY27iIhp06bF//zP/8TMmTNj8+bNMWPGjDj55JPjuuuui4qKiqiurm54F2/hwoXxrW99K2bNmhWDBw+OH/zgB/Hee+/Fb37zm8jP7/w3IXta3AEAAB8/2XZJzjP0+uuvj1mzZsXEiROjoKAgxo8fH5MnT46IiFtvvTWWL18eixYtioiICRMmRGVlZcyePTs++OCDKCsri5/85CddEnYAAAC7kpy/c9eTeecOAADItV3i99wBAADQOcQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAsQdAABAAgpyPUBPVlNTExERW7ZsiTVr1uR4GgAA4ONoy5YtEfG3PmmJuNuJ+vr6hv+tqqrK8TQAAMDH2fY+aYm424nCwsKora2N/Pz86N27d7ftd/Xq1RERMXLkyG7bJ7njeH+8ON4fL473x4dj/fHieH+89ITjXVNTE/X19VFYWLjT9fIymUymm2YiS2PHjo2IiMWLF+d4ErqD4/3x4nh/vDjeHx+O9ceL4/3xsisdbxdUAQAASIC4AwAASIC4AwAASIC4AwAASIC4AwAASICrZQIAACTAO3cAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHcAAAAJEHc91E033RQzZ85ssvypp56KCRMmxGGHHRbjx4+Pxx9/vPuHA9qstrY2pk+fHmVlZTF69OiYNm1aVFVV5XosoAMqKytjxIgRUVlZ2bDMaz1dzR1v0lJRURH//M//HKNHj47DDjsszjvvvHjuueciIiKTycT3v//9OO644+Lwww+PK6+8MjZs2JDjiZsSdz3Mtm3b4sknn4wHHnigyW2vv/56XH755TFu3Lj49a9/HZ///OfjyiuvjDVr1uRgUjrb2LFjY+TIkY3+NPd1wK5p9uzZsWTJkpgzZ07Mmzcv1qxZE9dee22ux6KL3HPPPU1ez6eeemqux6ITvfPOOzFr1qzYtm1bo+Ve62lq6Xh7radl0qRJ8dJLL8Xtt98e99xzT5SUlMRXvvKV2LJlS9x5553xy1/+MmbOnBl33313VFdXxxVXXJHrkZsoyPUA/M0bb7wRp512WtTW1jZ7+y9+8Yv49Kc/HVdffXVERBx44IGxaNGiuP/+++OGG27ozlHpZBUVFVFRUREPPvhg9OrVq2H5wIEDczgVnWXjxo2xYMGCmDt3bowZMyYiIqZOnRoXXHBBVFRURP/+/XM8IZ3tr3/9a5x55plx4YUXNiz76GubXdsNN9wQv/rVr5os91pPU0vHO8JrPSWvvPJKrFixIu6///4YNWpURETceuutUVZWFo888kjcddddcdVVV8XJJ58cEREzZ86ME088MVavXh0jR47M5eiNeOeuBxkwYEDcf//9sXDhwjjkkEOa3L5s2bIYN25co2VHH310PPXUU901Il3klVdeiWHDhkVpaWl86lOfavizxx575Ho0OsGqVasiIhpO9iIiRo0aFQUFBbFs2bJcjUUXeuWVV+Koo45q9HoePnx4rseik0ycODEWLlwYN910U6PlXutpaul4R3itp2T9+vUxaNCgOPjggxuW9e3bN/r06RNvvPFGbNiwodF5+JAhQ2Kfffbpcefh4q4HKSwsjIMPPjgOPvjg6Nu3b5Pb161bF8OGDWu0bNCgQVFRUdFdI9JFXnnllcjPz4/zzjsvysrK4swzz4zf/va3uR6LTrJ27doYOHBgFBYWNiwrLCyMfv36ef0m6pVXXomHHnooTj311Bg3blx885vfjHfeeSfXY9FJhgwZEgcffHCTk3iv9TS1dLwjvNZTcswxx8STTz7Z6PX7u9/9LjZu3BgHHnhg5Ofnx9ChQxvdpyeeh4u7XUhVVVX07t270bK+ffv6Qe0EvPzyy1FZWRlf+MIX4mc/+1l85jOficmTJ8fChQtzPRqdoKqqKoqKiposLy4u9vpNUFVVVaxfvz4KCwvjX/7lX2L27Nnx0ksvxcUXXxw1NTW5Ho8u5LX+8eK1nq66urr46U9/GpMnT45TTz01qqqqorCwMPLzG6dTT3xt+5m7bvTBBx/s9F9z9t9//8jLy2vx9j322COqq6sbLaupqYmSkpJOm5Gu0dqxv+yyy2LixImx5557RkTEIYccEm+99VbMnz8/JkyY0E1T0lVKSkqavHYjvH5T1bt371i0aFEMGTKk4Xv6AQccECeccEIsXry44ec1SI/X+seL13qannnmmZgyZUq89NJLcckll8SkSZPij3/8Y9TU1ER9fX2jwOuJr21x140eeeSRmDp1aou3r1q1qtmPY243cODAePPNNxste+utt2LIkCGdNiNdoz3H/qCDDopFixZ19Wh0g4EDB0Z5eXnU1tY2fNyjrq4uysvLm3zEg11fQUFBsx/d2WuvvaK8vDxHU9EdvNY/XrzW0/Nf//VfMWnSpDj44IPjgQceiNLS0oj48LWdyWTi7bffbnTe/fbbb8dpp52Wq3Gb5WOZ3eiss86K559/vsU/Owu7iIhx48bFH//4x0bL/vjHP8Zxxx3XlWPTCVo79l/84hfj5z//eaP7rF69Og444IAcTUxnKisri0wmEytXrmxYtmLFishkMjF69OgcTkZXWLhwYZx88smxdevWhmXr1q2Ld99912s6cV7rHy9e62nZtGlTTJkyJU4++eS49957G8IuIqK0tDQGDBjQ6Dx83bp1sXbt2hg7dmwuxm2RuNuFnH322fHMM8/E7bffHs8++2zcfPPN8eyzz8Y555yT69HooLFjx8btt98eCxcujOeeey7mzZsX//Ef/xGXXXZZrkejE5SUlMQZZ5wRN954Y6xYsSKeeOKJmDZtWpxzzjlRXFyc6/HoZGVlZfH+++/HNddcE//zP/8TS5cujUmTJsURRxwRRx55ZK7Howt5rX+8eK2nZcmSJVFVVRWXXnppvPHGG/Haa681/Nm4cWOce+65MWfOnHjiiSdi2bJlceWVV8ZJJ50U++67b65Hb8THMnchf/d3fxdz586N73znOzFv3rz49Kc/HXfccUcMHjw416PRQVdffXX07t075syZExs2bIj99tsvZs+eHccee2yuR6OTXH/99TFr1qyYOHFiFBQUxPjx42Py5Mm5HosuMHjw4PjZz34Wt956a1xyySVRWFgYY8eOjWnTpuV6NLqB1/rHh9d6WtauXRtbt26Ns846q8ltV155ZVxxxRWxZcuWuOaaa2Lr1q1x0kknxYwZM7p/0FbkZTKZTK6HAAAAoGN8LBMAACAB4g4AACAB4g4AACAB4g4AACAB4g4AACAB4g4AACAB4g4AACAB4g4AACAB4g4AmrFs2bI46KCDYsmSJbkepcHSpUvjs5/9bBxyyCHxxhtvNLvO+eefH+eee26T5ZWVlTF+/Pg49NBD46GHHurqUQHIgYJcDwAAZOdnP/tZVFZWxpw5c6J///5Z36+ysjIuvPDCeOWVV2LOnDlxyimndOGUAOSKuAOAXUR1dXXsu+++ceqpp2Z9n8rKyrjooovitddei7lz58YJJ5zQhRMCkEs+lglAUi655JIYPXp0bN26tdHyqVOnxlFHHRU1NTUREfHII4/E2WefHYcffniUlZXFxRdfHCtXrmxxu1OmTInjjz++0bLXX389DjrooFiwYEHDsi1btsQtt9wSxx9/fBx22GHxhS98IRYtWtTq3K+++mpceeWVcdRRR8WoUaPivPPOi2XLljXcftBBB8Xy5cvjz3/+cxx00EHx+uuvt7rN7WG3du3a+OlPfyrsABIn7gBIyvjx42Pjxo2xfPnyhmVbt26Nxx57LE477bTo3bt3/OlPf4qrrroqhg8fHrNnz44pU6bEu+++G1/+8pfjvffea/e+t23bFl/96lfjwQcfjEsuuSS++93vxvDhw+Pyyy+P3//+9y3e780334wvfvGL8dJLL8XVV18dt9xyS+y+++5x0UUXxRNPPBEREXfccUcceOCBccABB8Qdd9wRe++9905neffdd+Oiiy6Kl19+Oe64444YM2ZMux8XALsGH8sEICmnnnpqzJgxIx555JE47rjjIuLDC5G8//778b//9/+OiIgXXnghjjjiiPjud78beXl5ERHxyU9+Mi666KJ4/vnno6ysrF37fuihh2LZsmVx3333xeGHHx4REZ/5zGfi3XffjTlz5sTpp5/e7P3mzp0bNTU1cc899zT8LN1pp50WZ599dnz3u9+NE044IY4//vi44447oq6ursk7iDv64IMPGh5LRMSGDRva9XgA2LV45w6ApOy+++5x0kknxaOPPhqZTCYiIh5++OEYOnRoHHXUURER8YUvfCHuvffe2LRpUzz99NPx8MMPxy9/+cuI+PDdt/Z64oknYtCgQXHggQdGVVVVw5/jjz8+XnvttaioqGj2fosXL44TTjih0UVS8vLy4pRTTokXXnghNm3a1KY5XnzxxXj77bfjX//1X2PAgAExffr0eOutt9r9uADYNXjnDoDknHHGGfH73/8+/vSnP8XIkSPj0UcfjXPPPbfhXbp169bF9ddfH8uWLYt+/frFvvvuG4MHD27zfrbH43YbNmyI9evXxxFHHNHs+u+++26zV7ncsGFDDBkypMny3XffPSIiqqqqGv5/Nvbcc8+YP39+lJaWxuzZs+Oyyy6La665JubPnx/5+f5dFyBV4g6A5IwdOzb22muveOSRR6Kqqiree++9ho9kRkRMnjw5Kioq4uGHH47hw4dHRMSSJUviP//zP1vc5vYw/Kgdfz5vjz32aPg5vuY0F3ARH0ZcZWVlk+VvvPFG9OrVK/baa68W52rOpz71qSgtLY2IiHHjxsWXvvSluPfee+OOO+6Ir371q23aFgC7Dv98B0ByevXqFZ/97Gfj0UcfjYcffjgOO+yw2G+//Rpuf+6552LcuHENYRcRrf6y8uLi4qiqqmr0bt2KFSsarXP00UfH+vXrY/jw4XHUUUc1/Fm1alXMnTs3ioqKmt32kUceGY8//nijj19u3bo1Hn744SgrK4vCwsI2Pf4dXXPNNbHffvvFD3/4w1i9enWHtgVAzyXuAEjS+PHj47XXXot///d/jwkTJjS6beTIkfHb3/427rvvvnjooYfimmuuiYcffjgiPrz4SnPvoh155JGxadOm+PGPfxzr16+P//qv/4r58+c3Wufzn/987LPPPnHJJZfEggUL4qGHHorrrrsuvve978U//MM/tPiRyCuvvDI2b94c559/fixYsCD+8Ic/xBVXXBHl5eUxadKkDj8XRUVFceutt0Ymk4lvfOMbsXnz5g5vE4CeR9wBkKQjjjgihg0bFvX19fHZz3620W2zZ8+OkSNHxre//e24+eabo1+/fvHAAw/EcccdF/Pnz49169Y12d5nP/vZmDhxYtxzzz3xmc98JubNmxe33HJLo3X69OkT99xzTxx66KFx6623xuTJk+Mvf/lL3HTTTXHhhRe2OOuIESNi/vz5sfvuu8dNN90UU6dOjerq6rjrrrvisMMO65TnY+TIkXHFFVfEq6++GrNmzeqUbQLQs+RldvxpcAAAAHY53rkDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIgLgDAABIwP8Poo9gmzVCWgEAAAAASUVORK5CYII=", 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" ] @@ -309,13 +309,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "28a55eef", + "id": "a936cb76", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:00.186894Z", - "iopub.status.busy": "2024-05-08T19:20:00.186698Z", - "iopub.status.idle": "2024-05-08T19:20:00.281933Z", - "shell.execute_reply": "2024-05-08T19:20:00.281377Z" + "iopub.execute_input": "2024-05-08T19:29:34.154872Z", + "iopub.status.busy": "2024-05-08T19:29:34.154588Z", + "iopub.status.idle": "2024-05-08T19:29:34.261829Z", + "shell.execute_reply": "2024-05-08T19:29:34.261070Z" } }, "outputs": [ @@ -331,7 +331,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -355,7 +355,7 @@ { "cell_type": "code", "execution_count": null, - "id": "16a30581", + "id": "55a896ce", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/Quadratic.ipynb b/notebooks/Quadratic.ipynb index 95a82358..4f5b1345 100644 --- a/notebooks/Quadratic.ipynb +++ b/notebooks/Quadratic.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "489abefd", + "id": "e941bc16", "metadata": { "papermill": { - "duration": 0.007699, - "end_time": "2024-05-08T19:21:03.345912", + "duration": 0.007884, + "end_time": "2024-05-08T19:30:52.181066", "exception": false, - "start_time": "2024-05-08T19:21:03.338213", + "start_time": "2024-05-08T19:30:52.173182", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "e7021bd7", + "id": "9be8d5fe", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:03.356317Z", - "iopub.status.busy": "2024-05-08T19:21:03.355896Z", - "iopub.status.idle": 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"start_time": "2024-05-08T19:30:51.523974", "version": "2.6.0" } }, diff --git a/notebooks/Quartic.ipynb b/notebooks/Quartic.ipynb index 932bf5c3..49bdbe8f 100644 --- a/notebooks/Quartic.ipynb +++ b/notebooks/Quartic.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "9e5e9bc9", + "id": "033c9bd3", "metadata": { "papermill": { - "duration": 0.010882, - "end_time": "2024-05-08T19:21:09.173698", + "duration": 0.007822, + "end_time": "2024-05-08T19:30:59.137721", "exception": false, - "start_time": "2024-05-08T19:21:09.162816", + "start_time": "2024-05-08T19:30:59.129899", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "7d18143b", + "id": "84f43f81", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:09.188996Z", - "iopub.status.busy": "2024-05-08T19:21:09.188198Z", - "iopub.status.idle": "2024-05-08T19:21:10.645867Z", - "shell.execute_reply": "2024-05-08T19:21:10.645331Z" + 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"tags": [] @@ -423,19 +423,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "ae4f306d", + "id": "964de9bd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:10.693026Z", - "iopub.status.busy": "2024-05-08T19:21:10.692885Z", - "iopub.status.idle": "2024-05-08T19:21:10.803440Z", - "shell.execute_reply": "2024-05-08T19:21:10.802914Z" + "iopub.execute_input": "2024-05-08T19:31:00.998696Z", + "iopub.status.busy": "2024-05-08T19:31:00.998431Z", + "iopub.status.idle": "2024-05-08T19:31:01.158055Z", + "shell.execute_reply": "2024-05-08T19:31:01.157097Z" }, "papermill": { - "duration": 0.113495, - "end_time": "2024-05-08T19:21:10.804713", + "duration": 0.16393, + "end_time": "2024-05-08T19:31:01.159976", "exception": false, - "start_time": "2024-05-08T19:21:10.691218", + "start_time": "2024-05-08T19:31:00.996046", "status": "completed" }, "tags": [ @@ -468,14 +468,14 @@ }, { "cell_type": "markdown", - "id": "4e6ee506", + "id": "629a1240", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001475, - "end_time": "2024-05-08T19:21:10.807953", + "duration": 0.001646, + "end_time": "2024-05-08T19:31:01.163590", "exception": false, - "start_time": "2024-05-08T19:21:10.806478", + "start_time": "2024-05-08T19:31:01.161944", "status": "completed" }, "tags": [] @@ -490,19 +490,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "4c81e047", + "id": "6d83e9c9", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:10.812090Z", - "iopub.status.busy": "2024-05-08T19:21:10.811822Z", - "iopub.status.idle": "2024-05-08T19:21:10.962824Z", - "shell.execute_reply": "2024-05-08T19:21:10.962486Z" + "iopub.execute_input": "2024-05-08T19:31:01.170408Z", + "iopub.status.busy": "2024-05-08T19:31:01.170163Z", + "iopub.status.idle": "2024-05-08T19:31:01.383795Z", + "shell.execute_reply": "2024-05-08T19:31:01.382681Z" }, "papermill": { - "duration": 0.154978, - "end_time": "2024-05-08T19:21:10.964353", + "duration": 0.222339, + "end_time": "2024-05-08T19:31:01.387505", "exception": false, - "start_time": "2024-05-08T19:21:10.809375", + "start_time": "2024-05-08T19:31:01.165166", "status": "completed" }, "tags": [] @@ -534,13 +534,13 @@ }, { "cell_type": "markdown", - "id": "295aeb7b", + "id": "8d043d85", "metadata": { "papermill": { - "duration": 0.001683, - "end_time": "2024-05-08T19:21:10.967922", + "duration": 0.005081, + "end_time": "2024-05-08T19:31:01.398059", "exception": false, - "start_time": "2024-05-08T19:21:10.966239", + "start_time": "2024-05-08T19:31:01.392978", "status": "completed" }, "tags": [] @@ -555,19 +555,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "126eeff1", + "id": "291af530", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:10.972035Z", - "iopub.status.busy": "2024-05-08T19:21:10.971894Z", - "iopub.status.idle": "2024-05-08T19:21:11.074397Z", - "shell.execute_reply": "2024-05-08T19:21:11.074008Z" + "iopub.execute_input": "2024-05-08T19:31:01.405373Z", + "iopub.status.busy": "2024-05-08T19:31:01.405189Z", + "iopub.status.idle": "2024-05-08T19:31:01.536173Z", + "shell.execute_reply": "2024-05-08T19:31:01.535114Z" }, "papermill": { - "duration": 0.106121, - "end_time": "2024-05-08T19:21:11.075760", + "duration": 0.136778, + "end_time": "2024-05-08T19:31:01.539097", "exception": false, - "start_time": "2024-05-08T19:21:10.969639", + "start_time": "2024-05-08T19:31:01.402319", "status": "completed" }, "tags": [] @@ -620,8 +620,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.920872, - "end_time": "2024-05-08T19:21:11.410981", + "duration": 3.504674, + "end_time": "2024-05-08T19:31:02.081832", "environment_variables": {}, "exception": null, "input_path": "Quartic.ipynb", @@ -633,7 +633,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:21:08.490109", + "start_time": "2024-05-08T19:30:58.577158", "version": "2.6.0" } }, diff --git a/notebooks/Quick_start.ipynb b/notebooks/Quick_start.ipynb index af3035ad..5e2a5437 100644 --- a/notebooks/Quick_start.ipynb +++ b/notebooks/Quick_start.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "5060fe3e", + "id": "f7492499", "metadata": {}, "source": [ "# Quick start\n", @@ -15,13 +15,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "1d329cef", + "id": "ce3c8597", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:01.337411Z", - "iopub.status.busy": "2024-05-08T19:20:01.336826Z", - "iopub.status.idle": "2024-05-08T19:20:02.508555Z", - "shell.execute_reply": "2024-05-08T19:20:02.507905Z" + "iopub.execute_input": "2024-05-08T19:29:35.345818Z", + "iopub.status.busy": "2024-05-08T19:29:35.344309Z", + "iopub.status.idle": "2024-05-08T19:29:36.768690Z", + "shell.execute_reply": "2024-05-08T19:29:36.767690Z" } }, "outputs": [], @@ -33,13 +33,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "22790f90", + "id": "9d6fb36d", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:02.511226Z", - "iopub.status.busy": "2024-05-08T19:20:02.510949Z", - "iopub.status.idle": "2024-05-08T19:20:02.520862Z", - "shell.execute_reply": "2024-05-08T19:20:02.520492Z" + "iopub.execute_input": "2024-05-08T19:29:36.773205Z", + "iopub.status.busy": "2024-05-08T19:29:36.772694Z", + "iopub.status.idle": "2024-05-08T19:29:36.784579Z", + "shell.execute_reply": "2024-05-08T19:29:36.783880Z" } }, "outputs": [], @@ -51,7 +51,7 @@ }, { "cell_type": "markdown", - "id": "5f70e261", + "id": "78fe85a1", "metadata": {}, "source": [ "Now let’s use it:\n", @@ -61,13 +61,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "483a66cf", + "id": "d57d4ab0", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:02.522916Z", - "iopub.status.busy": "2024-05-08T19:20:02.522815Z", - "iopub.status.idle": "2024-05-08T19:20:03.049604Z", - "shell.execute_reply": "2024-05-08T19:20:03.049191Z" + "iopub.execute_input": "2024-05-08T19:29:36.787934Z", + "iopub.status.busy": "2024-05-08T19:29:36.787696Z", + "iopub.status.idle": "2024-05-08T19:29:37.451542Z", + "shell.execute_reply": "2024-05-08T19:29:37.450837Z" } }, "outputs": [ @@ -89,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "bdbf9ba5", + "id": "b2e6766b", "metadata": {}, "source": [ "Evaluate the model on an array of 100 energies logarithmically distributed between 1 and 100 keV and plot it" @@ -98,13 +98,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "73d715a2", + "id": "819fca58", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:03.051673Z", - "iopub.status.busy": "2024-05-08T19:20:03.051530Z", - "iopub.status.idle": "2024-05-08T19:20:03.888259Z", - "shell.execute_reply": "2024-05-08T19:20:03.887763Z" + "iopub.execute_input": "2024-05-08T19:29:37.455035Z", + "iopub.status.busy": "2024-05-08T19:29:37.454800Z", + "iopub.status.idle": "2024-05-08T19:29:38.446067Z", + "shell.execute_reply": "2024-05-08T19:29:38.445399Z" } }, "outputs": [ diff --git a/notebooks/Sin.ipynb b/notebooks/Sin.ipynb index 10658316..6b0dff9a 100644 --- a/notebooks/Sin.ipynb +++ b/notebooks/Sin.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "819f7dda", + "id": "31bc26bd", "metadata": { "papermill": { - "duration": 0.011998, - "end_time": "2024-05-08T19:20:26.619567", + "duration": 0.005731, + "end_time": "2024-05-08T19:30:06.416302", "exception": false, - "start_time": "2024-05-08T19:20:26.607569", + "start_time": "2024-05-08T19:30:06.410571", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "96615cd1", + "id": "2f3ec175", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:26.636684Z", - "iopub.status.busy": "2024-05-08T19:20:26.635899Z", - "iopub.status.idle": "2024-05-08T19:20:28.033429Z", - "shell.execute_reply": "2024-05-08T19:20:28.032913Z" + "iopub.execute_input": "2024-05-08T19:30:06.426617Z", + "iopub.status.busy": "2024-05-08T19:30:06.426149Z", + "iopub.status.idle": "2024-05-08T19:30:08.178649Z", + "shell.execute_reply": "2024-05-08T19:30:08.177841Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.407933, - "end_time": "2024-05-08T19:20:28.034921", + "duration": 1.759989, + "end_time": "2024-05-08T19:30:08.180894", "exception": false, - "start_time": "2024-05-08T19:20:26.626988", + "start_time": "2024-05-08T19:30:06.420905", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "d04a7dc0", + "id": "87034023", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.038348Z", - "iopub.status.busy": "2024-05-08T19:20:28.038005Z", - "iopub.status.idle": "2024-05-08T19:20:28.046368Z", - "shell.execute_reply": "2024-05-08T19:20:28.045968Z" + "iopub.execute_input": "2024-05-08T19:30:08.185444Z", + "iopub.status.busy": "2024-05-08T19:30:08.184944Z", + "iopub.status.idle": "2024-05-08T19:30:08.188247Z", + "shell.execute_reply": "2024-05-08T19:30:08.187634Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011403, - "end_time": "2024-05-08T19:20:28.047716", + "duration": 0.007865, + "end_time": "2024-05-08T19:30:08.190438", "exception": false, - "start_time": "2024-05-08T19:20:28.036313", + "start_time": "2024-05-08T19:30:08.182573", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "e539cfe3", + "id": "1291a8dd", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.050626Z", - "iopub.status.busy": "2024-05-08T19:20:28.050478Z", - "iopub.status.idle": "2024-05-08T19:20:28.058536Z", - "shell.execute_reply": "2024-05-08T19:20:28.058165Z" + "iopub.execute_input": "2024-05-08T19:30:08.194402Z", + "iopub.status.busy": "2024-05-08T19:30:08.194188Z", + "iopub.status.idle": "2024-05-08T19:30:08.197070Z", + "shell.execute_reply": "2024-05-08T19:30:08.196364Z" }, "papermill": { - "duration": 0.010934, - "end_time": "2024-05-08T19:20:28.059817", + "duration": 0.007064, + "end_time": "2024-05-08T19:30:08.198988", "exception": false, - "start_time": "2024-05-08T19:20:28.048883", + "start_time": "2024-05-08T19:30:08.191924", "status": "completed" }, "tags": [ @@ -127,21 +127,21 @@ { "cell_type": "code", "execution_count": 4, - "id": "7f115449", + "id": "ac65b1cb", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.062730Z", - "iopub.status.busy": "2024-05-08T19:20:28.062584Z", - "iopub.status.idle": "2024-05-08T19:20:28.071703Z", - "shell.execute_reply": "2024-05-08T19:20:28.071306Z" + "iopub.execute_input": "2024-05-08T19:30:08.202658Z", + "iopub.status.busy": "2024-05-08T19:30:08.202445Z", + "iopub.status.idle": "2024-05-08T19:30:08.213002Z", + "shell.execute_reply": "2024-05-08T19:30:08.212234Z" }, "lines_to_next_cell": 0, "nbsphinx": "hidden", "papermill": { - "duration": 0.012021, - "end_time": "2024-05-08T19:20:28.072978", + "duration": 0.014581, + "end_time": "2024-05-08T19:30:08.215018", "exception": false, - "start_time": "2024-05-08T19:20:28.060957", + "start_time": "2024-05-08T19:30:08.200437", "status": "completed" }, "tags": [] @@ -170,14 +170,14 @@ }, { "cell_type": "markdown", - "id": "bf3bac22", + "id": "250664a8", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001082, - "end_time": "2024-05-08T19:20:28.075187", + "duration": 0.001478, + "end_time": "2024-05-08T19:30:08.218026", "exception": false, - "start_time": "2024-05-08T19:20:28.074105", + "start_time": "2024-05-08T19:30:08.216548", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "1097eb53", + "id": "672b9e29", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.078074Z", - "iopub.status.busy": "2024-05-08T19:20:28.077928Z", - "iopub.status.idle": "2024-05-08T19:20:28.088055Z", - "shell.execute_reply": "2024-05-08T19:20:28.087636Z" + "iopub.execute_input": "2024-05-08T19:30:08.222023Z", + "iopub.status.busy": "2024-05-08T19:30:08.221813Z", + "iopub.status.idle": "2024-05-08T19:30:08.227635Z", + "shell.execute_reply": "2024-05-08T19:30:08.226897Z" }, "papermill": { - "duration": 0.01304, - "end_time": "2024-05-08T19:20:28.089321", + "duration": 0.010455, + "end_time": "2024-05-08T19:30:08.229961", "exception": false, - "start_time": "2024-05-08T19:20:28.076281", + "start_time": "2024-05-08T19:30:08.219506", "status": "completed" }, "tags": [] @@ -337,13 +337,13 @@ }, { "cell_type": "markdown", - "id": "97df709b", + "id": "cb3bd24c", "metadata": { "papermill": { - "duration": 0.001205, - "end_time": "2024-05-08T19:20:28.091783", + "duration": 0.001386, + "end_time": "2024-05-08T19:30:08.233075", "exception": false, - "start_time": "2024-05-08T19:20:28.090578", + "start_time": "2024-05-08T19:30:08.231689", "status": "completed" }, "tags": [] @@ -359,19 +359,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "4a3fbe6f", + "id": "e62736c3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.094784Z", - "iopub.status.busy": "2024-05-08T19:20:28.094642Z", - "iopub.status.idle": "2024-05-08T19:20:28.206404Z", - "shell.execute_reply": "2024-05-08T19:20:28.205983Z" + "iopub.execute_input": "2024-05-08T19:30:08.236925Z", + "iopub.status.busy": "2024-05-08T19:30:08.236662Z", + "iopub.status.idle": "2024-05-08T19:30:08.390310Z", + "shell.execute_reply": "2024-05-08T19:30:08.388747Z" }, "papermill": { - "duration": 0.114819, - "end_time": "2024-05-08T19:20:28.207744", + "duration": 0.158645, + "end_time": "2024-05-08T19:30:08.393071", "exception": false, - "start_time": "2024-05-08T19:20:28.092925", + "start_time": "2024-05-08T19:30:08.234426", "status": "completed" }, "tags": [ @@ -404,14 +404,14 @@ }, { "cell_type": "markdown", - "id": "f2cab6ae", + "id": "af61051c", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001532, - "end_time": "2024-05-08T19:20:28.211042", + "duration": 0.007591, + "end_time": "2024-05-08T19:30:08.402598", "exception": false, - "start_time": "2024-05-08T19:20:28.209510", + "start_time": "2024-05-08T19:30:08.395007", "status": "completed" }, "tags": [] @@ -426,19 +426,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "2a2d8e1a", + "id": "c4db7b2a", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.214878Z", - "iopub.status.busy": "2024-05-08T19:20:28.214722Z", - "iopub.status.idle": "2024-05-08T19:20:28.368983Z", - "shell.execute_reply": "2024-05-08T19:20:28.368638Z" + "iopub.execute_input": "2024-05-08T19:30:08.413328Z", + "iopub.status.busy": "2024-05-08T19:30:08.413133Z", + "iopub.status.idle": "2024-05-08T19:30:08.624276Z", + "shell.execute_reply": "2024-05-08T19:30:08.622890Z" }, "papermill": { - "duration": 0.157858, - "end_time": "2024-05-08T19:20:28.370440", + "duration": 0.21864, + "end_time": "2024-05-08T19:30:08.625936", "exception": false, - "start_time": "2024-05-08T19:20:28.212582", + "start_time": "2024-05-08T19:30:08.407296", "status": "completed" }, "tags": [] @@ -470,13 +470,13 @@ }, { "cell_type": "markdown", - "id": "ceb4ee79", + "id": "e97c8d77", "metadata": { "papermill": { - "duration": 0.001992, - "end_time": "2024-05-08T19:20:28.374391", + "duration": 0.00193, + "end_time": "2024-05-08T19:30:08.629961", "exception": false, - "start_time": "2024-05-08T19:20:28.372399", + "start_time": "2024-05-08T19:30:08.628031", "status": "completed" }, "tags": [] @@ -491,19 +491,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "b3612047", + "id": "1a181308", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:28.378497Z", - "iopub.status.busy": "2024-05-08T19:20:28.378357Z", - "iopub.status.idle": "2024-05-08T19:20:28.470691Z", - "shell.execute_reply": "2024-05-08T19:20:28.470319Z" + "iopub.execute_input": "2024-05-08T19:30:08.634558Z", + "iopub.status.busy": "2024-05-08T19:30:08.634371Z", + "iopub.status.idle": "2024-05-08T19:30:08.763547Z", + "shell.execute_reply": "2024-05-08T19:30:08.761418Z" }, "papermill": { - "duration": 0.095914, - "end_time": "2024-05-08T19:20:28.471971", + "duration": 0.134737, + "end_time": "2024-05-08T19:30:08.766415", "exception": false, - "start_time": "2024-05-08T19:20:28.376057", + "start_time": "2024-05-08T19:30:08.631678", "status": "completed" }, "tags": [] @@ -556,8 +556,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.977022, - "end_time": "2024-05-08T19:20:28.812329", + "duration": 3.444063, + "end_time": "2024-05-08T19:30:09.204662", "environment_variables": {}, "exception": null, "input_path": "Sin.ipynb", @@ -569,7 +569,7 @@ "x_scale": "linear", "y_scale": "linear" }, - "start_time": "2024-05-08T19:20:25.835307", + "start_time": "2024-05-08T19:30:05.760599", "version": "2.6.0" } }, diff --git a/notebooks/SmoothlyBrokenPowerLaw.ipynb b/notebooks/SmoothlyBrokenPowerLaw.ipynb index d807736b..d96af2e5 100644 --- a/notebooks/SmoothlyBrokenPowerLaw.ipynb +++ b/notebooks/SmoothlyBrokenPowerLaw.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "5a1ad5d4", + "id": "3505e32b", "metadata": { "papermill": { - "duration": 0.006772, - "end_time": "2024-05-08T19:21:37.367497", + "duration": 0.004552, + "end_time": "2024-05-08T19:31:32.548012", "exception": false, - "start_time": "2024-05-08T19:21:37.360725", + "start_time": "2024-05-08T19:31:32.543460", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "d2824725", + "id": "4c3a542e", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:37.382632Z", - "iopub.status.busy": "2024-05-08T19:21:37.381758Z", - "iopub.status.idle": "2024-05-08T19:21:38.902078Z", - "shell.execute_reply": "2024-05-08T19:21:38.901581Z" + "iopub.execute_input": "2024-05-08T19:31:32.558378Z", + 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a/notebooks/StepFunction.ipynb +++ b/notebooks/StepFunction.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "832e61b9", + "id": "c082fd0d", "metadata": { "papermill": { - "duration": 0.010484, - "end_time": "2024-05-08T19:20:20.739921", + "duration": 0.007919, + "end_time": "2024-05-08T19:29:59.049150", "exception": false, - "start_time": "2024-05-08T19:20:20.729437", + "start_time": "2024-05-08T19:29:59.041231", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "0a017cc2", + "id": "e31188f5", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:20.754554Z", - "iopub.status.busy": "2024-05-08T19:20:20.753820Z", - "iopub.status.idle": "2024-05-08T19:20:22.161172Z", - "shell.execute_reply": "2024-05-08T19:20:22.160640Z" + "iopub.execute_input": "2024-05-08T19:29:59.061353Z", + "iopub.status.busy": "2024-05-08T19:29:59.060834Z", + "iopub.status.idle": "2024-05-08T19:30:00.797227Z", + 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b/notebooks/StepFunctionUpper.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "fa17f8ed", + "id": "2c751e28", "metadata": { "papermill": { - "duration": 0.010419, - "end_time": "2024-05-08T19:20:23.651602", + "duration": 0.007901, + "end_time": "2024-05-08T19:30:02.640383", "exception": false, - "start_time": "2024-05-08T19:20:23.641183", + "start_time": "2024-05-08T19:30:02.632482", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "f9ba4c19", + "id": "fa39f13b", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:23.665285Z", - "iopub.status.busy": "2024-05-08T19:20:23.664668Z", - "iopub.status.idle": "2024-05-08T19:20:25.072630Z", - "shell.execute_reply": "2024-05-08T19:20:25.072118Z" + "iopub.execute_input": "2024-05-08T19:30:02.652850Z", + "iopub.status.busy": "2024-05-08T19:30:02.652315Z", + "iopub.status.idle": "2024-05-08T19:30:04.540638Z", + "shell.execute_reply": 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+472,13 @@ }, { "cell_type": "markdown", - "id": "68c418fb", + "id": "0876b874", "metadata": { "papermill": { - "duration": 0.00155, - "end_time": "2024-05-08T19:20:25.392447", + "duration": 0.004849, + "end_time": "2024-05-08T19:30:05.082867", "exception": false, - "start_time": "2024-05-08T19:20:25.390897", + "start_time": "2024-05-08T19:30:05.078018", "status": "completed" }, "tags": [] @@ -493,19 +493,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "32bc0c96", + "id": "9696be48", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:25.396217Z", - "iopub.status.busy": "2024-05-08T19:20:25.396069Z", - "iopub.status.idle": "2024-05-08T19:20:25.491310Z", - "shell.execute_reply": "2024-05-08T19:20:25.490921Z" + "iopub.execute_input": "2024-05-08T19:30:05.091319Z", + "iopub.status.busy": "2024-05-08T19:30:05.091130Z", + "iopub.status.idle": "2024-05-08T19:30:05.205690Z", + "shell.execute_reply": "2024-05-08T19:30:05.205114Z" }, "papermill": { - "duration": 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"markdown", - "id": "e5173866", + "id": "1cf79b2b", "metadata": { "papermill": { - "duration": 0.007988, - "end_time": "2024-05-08T19:21:33.788474", + "duration": 0.009287, + "end_time": "2024-05-08T19:31:28.583811", "exception": false, - "start_time": "2024-05-08T19:21:33.780486", + "start_time": "2024-05-08T19:31:28.574524", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "5b92d43b", + "id": "e60a9695", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:33.801043Z", - "iopub.status.busy": "2024-05-08T19:21:33.800503Z", - "iopub.status.idle": "2024-05-08T19:21:35.367397Z", - "shell.execute_reply": "2024-05-08T19:21:35.366884Z" + "iopub.execute_input": "2024-05-08T19:31:28.608339Z", + "iopub.status.busy": "2024-05-08T19:31:28.608108Z", + "iopub.status.idle": "2024-05-08T19:31:30.341159Z", + "shell.execute_reply": "2024-05-08T19:31:30.340530Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.575573, 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+170,14 @@ }, { "cell_type": "markdown", - "id": "8ca66aa0", + "id": "13073423", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001167, - "end_time": "2024-05-08T19:21:35.396539", + "duration": 0.001131, + "end_time": "2024-05-08T19:31:30.368369", "exception": false, - "start_time": "2024-05-08T19:21:35.395372", + "start_time": "2024-05-08T19:31:30.367238", "status": "completed" }, "tags": [] @@ -189,19 +189,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "0065a4d6", + "id": "d324de47", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:21:35.399572Z", - "iopub.status.busy": "2024-05-08T19:21:35.399416Z", - "iopub.status.idle": "2024-05-08T19:21:35.410229Z", - "shell.execute_reply": "2024-05-08T19:21:35.409807Z" + "iopub.execute_input": "2024-05-08T19:31:30.371699Z", + "iopub.status.busy": "2024-05-08T19:31:30.371520Z", + "iopub.status.idle": "2024-05-08T19:31:30.382710Z", + "shell.execute_reply": "2024-05-08T19:31:30.382084Z" }, 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", 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", 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", 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" ] @@ -506,8 +506,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.773393, - "end_time": "2024-05-08T19:22:51.138003", + "duration": 4.240822, + "end_time": "2024-05-08T19:32:57.014352", "environment_variables": {}, "exception": null, "input_path": "Uniform_prior.ipynb", @@ -516,7 +516,7 @@ "func_name": "Uniform_prior", "positive_prior": false }, - "start_time": "2024-05-08T19:22:48.364610", + "start_time": "2024-05-08T19:32:52.773530", "version": "2.6.0" } }, diff --git a/notebooks/WAbs.ipynb b/notebooks/WAbs.ipynb index 63fb9bf7..d907baa6 100644 --- a/notebooks/WAbs.ipynb +++ b/notebooks/WAbs.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "5f92a8fd", + "id": "a2732090", "metadata": { "papermill": { - "duration": 0.011768, - "end_time": "2024-05-08T19:20:46.520871", + "duration": 0.007782, + "end_time": "2024-05-08T19:30:31.521412", "exception": false, - "start_time": "2024-05-08T19:20:46.509103", + "start_time": "2024-05-08T19:30:31.513630", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "2fb8761a", + "id": "2dd8fec1", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:46.536279Z", - "iopub.status.busy": "2024-05-08T19:20:46.535456Z", - "iopub.status.idle": "2024-05-08T19:20:47.935624Z", - "shell.execute_reply": "2024-05-08T19:20:47.935120Z" + "iopub.execute_input": "2024-05-08T19:30:31.536063Z", + "iopub.status.busy": "2024-05-08T19:30:31.535512Z", + "iopub.status.idle": "2024-05-08T19:30:33.299633Z", + "shell.execute_reply": "2024-05-08T19:30:33.298812Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.410238, - "end_time": "2024-05-08T19:20:47.937340", + "duration": 1.773482, + "end_time": "2024-05-08T19:30:33.301942", "exception": false, - "start_time": "2024-05-08T19:20:46.527102", + "start_time": "2024-05-08T19:30:31.528460", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "bf436eb0", + "id": "4f2c7618", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:47.941286Z", - "iopub.status.busy": "2024-05-08T19:20:47.940877Z", - "iopub.status.idle": "2024-05-08T19:20:47.949442Z", - "shell.execute_reply": "2024-05-08T19:20:47.949032Z" + "iopub.execute_input": "2024-05-08T19:30:33.306396Z", + "iopub.status.busy": "2024-05-08T19:30:33.305878Z", + "iopub.status.idle": "2024-05-08T19:30:33.309703Z", + "shell.execute_reply": "2024-05-08T19:30:33.308861Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 0.011987, - "end_time": "2024-05-08T19:20:47.950740", + "duration": 0.008123, + "end_time": "2024-05-08T19:30:33.311636", "exception": false, - "start_time": "2024-05-08T19:20:47.938753", + "start_time": "2024-05-08T19:30:33.303513", "status": "completed" }, "tags": [ @@ -95,19 +95,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "a81901b7", + "id": "837e53a8", "metadata": { "execution": { - "iopub.execute_input": 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{ "cell_type": "code", "execution_count": 8, - "id": "3bdb38b1", + "id": "abe35eec", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:49.171104Z", - "iopub.status.busy": "2024-05-08T19:20:49.170828Z", - "iopub.status.idle": "2024-05-08T19:20:49.353872Z", - "shell.execute_reply": "2024-05-08T19:20:49.353537Z" + "iopub.execute_input": "2024-05-08T19:30:34.885200Z", + "iopub.status.busy": "2024-05-08T19:30:34.884954Z", + "iopub.status.idle": "2024-05-08T19:30:35.145163Z", + "shell.execute_reply": "2024-05-08T19:30:35.144825Z" }, "papermill": { - "duration": 0.186825, - "end_time": "2024-05-08T19:20:49.355325", + "duration": 0.264858, + "end_time": "2024-05-08T19:30:35.146803", "exception": false, - "start_time": "2024-05-08T19:20:49.168500", + "start_time": "2024-05-08T19:30:34.881945", "status": "completed" }, "tags": [] @@ -525,8 +525,8 @@ }, "papermill": { "default_parameters": {}, - "duration": 4.035378, - "end_time": "2024-05-08T19:20:49.783798", + "duration": 4.765777, + "end_time": "2024-05-08T19:30:35.695444", "environment_variables": {}, "exception": null, "input_path": "WAbs.ipynb", @@ -538,7 +538,7 @@ "x_scale": "log", "y_scale": "log" }, - "start_time": "2024-05-08T19:20:45.748420", + "start_time": "2024-05-08T19:30:30.929667", "version": "2.6.0" } }, diff --git a/notebooks/ZDust.ipynb b/notebooks/ZDust.ipynb index bcf5b229..c01c5212 100644 --- a/notebooks/ZDust.ipynb +++ b/notebooks/ZDust.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "b293b5f1", + "id": "e961b863", "metadata": { "papermill": { - "duration": 0.010969, - "end_time": "2024-05-08T19:20:54.019645", + "duration": 0.008156, + "end_time": "2024-05-08T19:30:40.523351", "exception": false, - "start_time": "2024-05-08T19:20:54.008676", + "start_time": "2024-05-08T19:30:40.515195", "status": "completed" }, "tags": [] @@ -20,20 +20,20 @@ { "cell_type": "code", "execution_count": 1, - "id": "13009156", + "id": "91d1ce55", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:54.032559Z", - "iopub.status.busy": "2024-05-08T19:20:54.031926Z", - "iopub.status.idle": "2024-05-08T19:20:55.435247Z", - "shell.execute_reply": "2024-05-08T19:20:55.434705Z" + "iopub.execute_input": "2024-05-08T19:30:40.537682Z", + "iopub.status.busy": "2024-05-08T19:30:40.537129Z", + "iopub.status.idle": "2024-05-08T19:30:42.270892Z", + "shell.execute_reply": "2024-05-08T19:30:42.269979Z" }, "nbsphinx": "hidden", "papermill": { - "duration": 1.411458, - "end_time": "2024-05-08T19:20:55.436817", + "duration": 1.743593, + "end_time": "2024-05-08T19:30:42.273164", "exception": false, - "start_time": "2024-05-08T19:20:54.025359", + "start_time": "2024-05-08T19:30:40.529571", "status": "completed" }, "tags": [] @@ -60,20 +60,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "15a34a91", + "id": "84dd1cc6", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:55.440244Z", - "iopub.status.busy": 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"execution_count": 5, - "id": "ff297eed", + "id": "735a15d5", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:55.471541Z", - "iopub.status.busy": "2024-05-08T19:20:55.471397Z", - "iopub.status.idle": "2024-05-08T19:20:55.481725Z", - "shell.execute_reply": "2024-05-08T19:20:55.481320Z" + "iopub.execute_input": "2024-05-08T19:30:42.315032Z", + "iopub.status.busy": "2024-05-08T19:30:42.314787Z", + "iopub.status.idle": "2024-05-08T19:30:42.322173Z", + "shell.execute_reply": "2024-05-08T19:30:42.321410Z" }, "papermill": { - "duration": 0.013114, - "end_time": "2024-05-08T19:20:55.482892", + "duration": 0.012259, + "end_time": "2024-05-08T19:30:42.324726", "exception": false, - "start_time": "2024-05-08T19:20:55.469778", + "start_time": "2024-05-08T19:30:42.312467", "status": "completed" }, "tags": [] @@ -375,13 +375,13 @@ }, { "cell_type": "markdown", - "id": "9dcc2f52", + "id": "c045c621", "metadata": { "papermill": { - "duration": 0.001212, - "end_time": "2024-05-08T19:20:55.485378", + "duration": 0.001496, + "end_time": "2024-05-08T19:30:42.327913", "exception": false, - "start_time": "2024-05-08T19:20:55.484166", + "start_time": "2024-05-08T19:30:42.326417", "status": "completed" }, "tags": [] @@ -397,19 +397,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "cca661f9", + "id": "20050e95", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:55.488324Z", - "iopub.status.busy": "2024-05-08T19:20:55.488186Z", - "iopub.status.idle": "2024-05-08T19:20:56.269626Z", - "shell.execute_reply": "2024-05-08T19:20:56.269217Z" + "iopub.execute_input": "2024-05-08T19:30:42.331947Z", + "iopub.status.busy": "2024-05-08T19:30:42.331697Z", + "iopub.status.idle": "2024-05-08T19:30:43.299572Z", + "shell.execute_reply": "2024-05-08T19:30:43.298893Z" }, "papermill": { - "duration": 0.784423, - "end_time": "2024-05-08T19:20:56.270959", + "duration": 0.972111, + "end_time": "2024-05-08T19:30:43.301465", "exception": false, - "start_time": "2024-05-08T19:20:55.486536", + "start_time": "2024-05-08T19:30:42.329354", "status": "completed" }, "tags": [ @@ -442,14 +442,14 @@ }, { "cell_type": "markdown", - "id": "60414732", + "id": "26389d98", "metadata": { "lines_to_next_cell": 0, "papermill": { - "duration": 0.001374, - "end_time": "2024-05-08T19:20:56.273954", + "duration": 0.001981, + "end_time": "2024-05-08T19:30:43.305353", "exception": false, - "start_time": "2024-05-08T19:20:56.272580", + "start_time": "2024-05-08T19:30:43.303372", "status": "completed" }, "tags": [] @@ -464,19 +464,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "cb4a75ce", + "id": "54fe5ca3", "metadata": { "execution": { - "iopub.execute_input": "2024-05-08T19:20:56.277362Z", - "iopub.status.busy": "2024-05-08T19:20:56.277197Z", - "iopub.status.idle": "2024-05-08T19:20:56.490157Z", - "shell.execute_reply": "2024-05-08T19:20:56.489647Z" + "iopub.execute_input": "2024-05-08T19:30:43.310268Z", + "iopub.status.busy": "2024-05-08T19:30:43.310035Z", + "iopub.status.idle": "2024-05-08T19:30:43.591986Z", + "shell.execute_reply": "2024-05-08T19:30:43.591166Z" }, "papermill": { - "duration": 0.2162, - "end_time": "2024-05-08T19:20:56.491433", + "duration": 0.288495, + "end_time": "2024-05-08T19:30:43.595480", "exception": false, - "start_time": "2024-05-08T19:20:56.275233", + "start_time": "2024-05-08T19:30:43.306985", "status": "completed" }, "tags": [] @@ -508,13 +508,13 @@ }, { "cell_type": "markdown", - "id": "12d37baf", + "id": "138fe59e", "metadata": { "papermill": { - "duration": 0.001575, - "end_time": "2024-05-08T19:20:56.494871", + "duration": 0.002157, + "end_time": "2024-05-08T19:30:43.600931", "exception": false, - "start_time": "2024-05-08T19:20:56.493296", + "start_time": "2024-05-08T19:30:43.598774", "status": "completed" }, "tags": [] @@ -529,19 +529,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "5e2ed2bf", + "id": "f3170f3b", "metadata": { "execution": { - 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1, 41, 123, 124, 132], "log": [0, 1, 9, 19, 23, 28, 34, 41, 43, 64, 65, 66, 68, 69, 71, 75, 76, 77, 78, 81, 82, 85, 91, 98, 100, 101, 102, 105, 106, 108, 114, 117, 118, 121, 122, 123, 124, 125, 126, 128, 132, 134], "long_path_formatt": [0, 1, 41, 123, 124, 132], "pretty_list": [0, 1, 41, 123, 124, 132], "tabl": [0, 1, 19, 21, 23, 24, 27, 35, 41, 77, 78, 87, 102, 118, 122, 123, 124, 126, 127, 128, 132, 134], "valid_vari": [0, 1, 41, 123, 124, 132], "vincenti": [0, 1, 41, 123, 124, 132], "xspec": [0, 1, 19, 22, 27, 34, 61, 123, 124, 126, 128, 132, 134], "factori": [0, 1, 8, 43, 55, 123, 124, 125, 130, 132], "xspec_set": [0, 1, 55, 123, 124, 132], "A": [4, 5, 9, 14, 15, 19, 22, 23, 26, 27, 28, 29, 30, 31, 34, 35, 36, 37, 38, 39, 62, 63, 67, 68, 69, 73, 74, 75, 76, 80, 81, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 103, 104, 105, 106, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 122, 125, 126, 128, 129, 134], "decor": [4, 9, 125], "which": [4, 5, 9, 14, 19, 22, 23, 27, 28, 30, 31, 34, 35, 36, 38, 42, 50, 54, 61, 62, 65, 73, 79, 86, 87, 96, 97, 99, 103, 104, 108, 109, 115, 116, 120, 122, 125, 126, 128, 129, 130, 133], "result": [4, 19, 34, 86, 87, 119, 125, 126], "last": [4, 50, 125, 130], "_cache_s": [4, 125], "call": [4, 5, 9, 19, 22, 35, 36, 39, 61, 62, 71, 87, 97, 125, 126, 129], "return": [4, 5, 6, 9, 10, 12, 14, 15, 17, 19, 22, 23, 24, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 49, 50, 51, 52, 53, 54, 62, 72, 79, 86, 87, 95, 103, 125, 126, 128, 129, 130], "use_astromodels_memo": [4, 125], "switch": [4, 87, 125], "cache_s": [4, 125], "20": [4, 19, 23, 28, 30, 31, 32, 34, 43, 63, 65, 71, 77, 78, 80, 83, 86, 87, 90, 96, 97, 100, 101, 104, 109, 125, 126, 128, 130], "activ": [4, 125], "deactiv": [4, 9, 125], "temporarili": [4, 9, 49, 125, 130], "true": [4, 5, 9, 16, 19, 22, 23, 24, 26, 27, 28, 30, 31, 34, 35, 36, 37, 39, 43, 51, 52, 53, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 128, 129, 130], "fals": [4, 5, 6, 9, 10, 12, 14, 16, 17, 19, 22, 23, 24, 27, 28, 31, 32, 34, 35, 36, 37, 39, 43, 51, 52, 53, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 128, 129, 130], "off": [4, 43, 71, 97, 125, 130], "number": [4, 5, 9, 22, 61, 62, 87, 97, 103, 125, 126], "previou": [4, 19, 61, 97, 125, 126], "evalu": [4, 5, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 61, 71, 77, 78, 97, 112, 125, 126, 127, 128], "keep": [4, 19, 22, 23, 28, 87, 95, 125, 126, 128], "memori": [4, 19, 35, 125, 126], "default": [4, 5, 9, 19, 22, 31, 32, 36, 39, 71, 87, 103, 109, 125, 126, 129, 134], "100": [4, 19, 23, 26, 28, 30, 32, 34, 62, 64, 66, 81, 85, 86, 87, 96, 97, 100, 101, 103, 106, 108, 109, 112, 114, 125, 126, 128], "except": [5, 6, 9, 12, 14, 17, 18, 19, 22, 24, 28, 35, 40, 87, 103, 125, 126, 128, 129], "cannotwritemodel": [5, 125], "directori": [5, 125], "messag": [5, 49, 71, 125, 130], "base": [5, 6, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 43, 49, 52, 61, 77, 78, 82, 87, 95, 125, 126, 127, 128, 129, 130], "oserror": [5, 6, 125], "invalidinput": [5, 125], "valueerror": [5, 14, 16, 22, 35, 125, 126], "node": [5, 7, 9, 11, 12, 14, 15, 17, 22, 36, 37, 38, 39, 103, 125, 126, 129], "add_external_paramet": [5, 125], "none": [5, 6, 8, 9, 11, 12, 14, 15, 17, 19, 22, 23, 30, 31, 32, 35, 36, 37, 38, 39, 40, 44, 52, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 81, 82, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 122, 125, 126, 128, 129, 130], "add": [5, 9, 62, 87, 97, 125], "come": [5, 99, 125], "from": [5, 6, 9, 19, 21, 22, 23, 24, 27, 30, 31, 32, 34, 36, 39, 54, 61, 62, 64, 65, 66, 67, 70, 71, 73, 78, 84, 86, 87, 88, 89, 94, 96, 99, 103, 107, 109, 112, 119, 120, 122, 125, 126, 127, 128, 129, 130], "someth": [5, 125], "other": [5, 19, 22, 23, 28, 61, 86, 95, 103, 125, 126, 128], "than": [5, 9, 19, 23, 28, 30, 50, 61, 62, 65, 71, 86, 87, 95, 125, 126, 128, 130], "instanc": [5, 6, 9, 10, 14, 15, 19, 22, 36, 37, 38, 39, 52, 61, 62, 86, 99, 103, 125, 126, 129, 130], "add_independent_vari": [5, 97, 125], "variabl": [5, 9, 19, 22, 35, 53, 61, 71, 87, 99, 125, 126, 130, 134], "independentvari": [5, 9, 97, 125], "global": [5, 97, 125], "independ": [5, 9, 19, 22, 35, 61, 87, 99, 103, 125, 126], "thi": [5, 6, 8, 9, 12, 14, 19, 21, 22, 23, 27, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 50, 52, 54, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81, 82, 84, 85, 86, 87, 88, 89, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 129, 130], "time": [5, 9, 19, 32, 61, 86, 87, 103, 125, 126], "an": [5, 6, 9, 10, 12, 14, 19, 22, 23, 27, 28, 30, 31, 32, 34, 36, 39, 40, 43, 54, 61, 71, 75, 76, 83, 84, 85, 86, 97, 99, 103, 107, 112, 122, 125, 126, 128, 129, 130, 134], "add_sourc": [5, 125], "new_sourc": [5, 125], "union": [5, 125], "pointsourc": [5, 36, 39, 87, 97, 99, 103, 109, 112, 125, 129], "extendedsourc": [5, 36, 37, 86, 125, 129], "particlesourc": [5, 36, 38, 125, 129], "provid": [5, 9, 10, 19, 21, 22, 35, 44, 53, 78, 86, 87, 103, 125, 126, 127, 130], "new": [5, 9, 19, 22, 31, 32, 54, 87, 125, 126, 130, 134], "ad": [5, 87, 97, 125, 134], "displai": [5, 16, 17, 44, 63, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 130, 133], "complet": [5, 62, 97, 125], "bool": [5, 8, 9, 12, 17, 19, 22, 35, 36, 39, 40, 43, 125, 126, 129, 130], "inform": [5, 17, 19, 32, 61, 86, 125, 126], "about": [5, 9, 17, 54, 62, 86, 125, 130], "point": [5, 9, 17, 19, 23, 30, 35, 36, 39, 40, 42, 54, 61, 69, 86, 87, 97, 99, 109, 112, 125, 126, 128, 129, 130], "param": [5, 9, 22, 36, 37, 54, 103, 125, 126, 129, 130], "also": [5, 19, 22, 42, 61, 62, 71, 86, 87, 97, 103, 125, 126, 130], "fix": [5, 9, 14, 19, 21, 22, 23, 24, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 61, 70, 87, 89, 94, 95, 97, 103, 119, 125, 126, 127, 128, 129, 134], "dict": [5, 6, 8, 9, 12, 17, 19, 22, 32, 35, 36, 39, 40, 125, 126, 129], "str": [5, 6, 8, 9, 12, 17, 19, 22, 24, 32, 35, 36, 39, 40, 43, 44, 49, 125, 126, 128, 129, 130], "dictionari": [5, 14, 22, 36, 37, 38, 39, 40, 51, 52, 61, 87, 97, 125, 126, 129, 130], "defin": [5, 9, 19, 23, 30, 32, 34, 35, 42, 61, 65, 87, 106, 109, 112, 119, 125, 126, 128, 130], "extend": [5, 36, 37, 40, 61, 97, 99, 125, 129], "collect": [5, 125], "ordereddict": [5, 125], "free_paramet": [5, 22, 36, 37, 38, 39, 40, 97, 103, 125, 126, 129], "get": [5, 9, 12, 14, 19, 23, 28, 29, 36, 38, 61, 86, 109, 112, 125, 126, 128, 129], "free": [5, 9, 14, 19, 22, 23, 30, 36, 37, 38, 39, 40, 62, 63, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 128, 129], "get_extended_source_boundari": [5, 125], "id": [5, 22, 62, 125, 126], "int": [5, 9, 19, 22, 23, 29, 35, 125, 126, 128], "get_extended_source_flux": [5, 125], "j2000_ra": [5, 125], "float": [5, 9, 19, 23, 27, 35, 36, 37, 39, 42, 54, 87, 97, 99, 103, 122, 125, 126, 128, 129, 130], "j2000_dec": [5, 125], "energi": [5, 9, 19, 22, 23, 26, 27, 28, 30, 32, 33, 35, 36, 37, 38, 61, 62, 64, 65, 66, 68, 69, 72, 74, 75, 76, 77, 78, 79, 81, 82, 85, 87, 91, 93, 95, 97, 98, 100, 101, 102, 103, 105, 106, 108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 121, 122, 125, 126, 128, 129, 134], "ndarrai": [5, 19, 22, 24, 35, 125, 126, 128], "flux": [5, 19, 23, 30, 32, 33, 35, 36, 37, 38, 62, 64, 65, 66, 68, 69, 72, 74, 75, 76, 77, 78, 79, 81, 82, 85, 86, 87, 91, 93, 95, 97, 98, 99, 100, 101, 102, 103, 105, 106, 110, 111, 112, 113, 114, 115, 116, 117, 118, 121, 122, 125, 126, 128, 129, 134], "th": [5, 125], "given": [5, 6, 9, 19, 21, 22, 36, 37, 38, 54, 62, 77, 78, 86, 125, 126, 127, 129, 130], "posit": [5, 9, 14, 19, 23, 28, 30, 36, 39, 61, 62, 65, 95, 97, 99, 125, 126, 128, 129], "r": [5, 14, 19, 23, 26, 62, 64, 65, 66, 68, 69, 72, 74, 75, 76, 77, 78, 79, 81, 82, 85, 86, 87, 91, 93, 95, 97, 98, 100, 101, 102, 103, 105, 106, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 121, 122, 125, 126, 128], "where": [5, 9, 19, 23, 30, 61, 81, 87, 97, 106, 114, 125, 126, 128], "i": [5, 6, 8, 9, 11, 14, 16, 19, 21, 22, 23, 27, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 42, 50, 53, 54, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81, 82, 84, 85, 86, 87, 88, 89, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 129, 130, 134], "desir": [5, 71, 125], "dec": [5, 14, 19, 31, 36, 39, 62, 63, 80, 83, 86, 87, 90, 92, 97, 99, 103, 104, 109, 112, 125, 126, 129], "arrai": [5, 19, 22, 23, 30, 31, 32, 35, 36, 37, 42, 81, 86, 90, 103, 112, 125, 126, 128, 129, 130], "get_extended_source_nam": [5, 125], "name": [5, 6, 8, 9, 10, 11, 12, 15, 16, 17, 19, 22, 24, 32, 35, 36, 37, 38, 39, 49, 52, 53, 62, 71, 86, 87, 97, 99, 103, 109, 125, 126, 128, 129, 130], "n": [5, 19, 23, 27, 30, 35, 63, 64, 67, 70, 73, 76, 84, 87, 88, 89, 94, 96, 97, 102, 107, 114, 118, 119, 120, 121, 122, 125, 126, 128], "integ": [5, 125], "get_number_of_extended_sourc": [5, 62, 125], "get_number_of_particle_sourc": [5, 125], "particl": [5, 19, 21, 23, 24, 36, 38, 40, 77, 78, 97, 102, 118, 121, 125, 126, 127, 128, 129], "get_number_of_point_sourc": [5, 62, 125], "get_particle_source_flux": [5, 125], "need": [5, 19, 22, 31, 32, 36, 38, 61, 62, 71, 86, 87, 97, 99, 125, 126, 129, 134], "get_particle_source_nam": [5, 125], "get_point_source_flux": [5, 62, 125], "tag": [5, 125], "stoke": [5, 125], "tupl": [5, 9, 19, 22, 31, 32, 36, 37, 125, 126, 129], "integr": [5, 19, 22, 23, 30, 31, 32, 34, 65, 70, 86, 87, 89, 94, 106, 108, 119, 125, 126, 128], "b": [5, 14, 19, 23, 27, 29, 30, 31, 32, 33, 34, 36, 39, 62, 65, 67, 69, 74, 81, 83, 86, 87, 91, 92, 93, 97, 103, 106, 107, 108, 110, 111, 119, 122, 125, 126, 128, 129], "specifi": [5, 9, 19, 22, 86, 87, 103, 125, 126], "perform": [5, 61, 71, 86, 125], "If": [5, 16, 19, 35, 42, 50, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 81, 82, 84, 85, 86, 87, 88, 89, 91, 93, 94, 95, 96, 97, 98, 100, 101, 102, 103, 105, 106, 107, 108, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 130], "valu": [5, 9, 11, 12, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 40, 43, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 129, 130], "averag": [5, 125], "comput": [5, 9, 19, 22, 23, 30, 42, 61, 65, 71, 86, 97, 108, 125, 126, 128, 130], "between": [5, 9, 19, 23, 30, 32, 34, 35, 42, 54, 61, 62, 65, 70, 81, 86, 87, 89, 94, 97, 106, 107, 108, 109, 112, 119, 125, 126, 128, 130], "over": [5, 19, 22, 31, 32, 36, 38, 62, 86, 97, 125, 126, 129], "divid": [5, 87, 125], "The": [5, 6, 9, 16, 19, 21, 22, 23, 27, 28, 30, 32, 34, 35, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 133], "must": [5, 9, 19, 22, 34, 86, 87, 96, 125, 126], "contain": [5, 6, 19, 22, 31, 32, 35, 61, 62, 86, 109, 125, 126], "instead": [5, 19, 23, 30, 62, 86, 87, 91, 99, 103, 112, 125, 126, 128, 134], "set": [5, 9, 12, 19, 22, 23, 24, 27, 28, 31, 32, 34, 42, 61, 71, 82, 86, 97, 103, 109, 112, 119, 122, 125, 126, 128, 130, 134], "q": [5, 11, 125], "u": [5, 11, 19, 31, 67, 70, 73, 84, 86, 87, 88, 89, 90, 94, 96, 97, 99, 103, 107, 119, 120, 125, 126], "v": [5, 11, 19, 23, 27, 87, 122, 125, 126, 128], "get_point_source_nam": [5, 62, 125], "get_point_source_posit": [5, 62, 125], "get_total_flux": [5, 125], "total": [5, 19, 21, 22, 23, 27, 31, 32, 36, 37, 38, 77, 78, 122, 125, 126, 127, 128, 129], "differenti": [5, 19, 23, 30, 36, 37, 62, 64, 66, 69, 75, 76, 81, 86, 87, 91, 97, 99, 103, 105, 112, 117, 125, 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nameDescription
Asymm_Gaussian_on_sphereA bidimensional Gaussian function on a sphere (in spherical coordinates)\\nsee https://en.wikipedia.org/wiki/Gaussian_function#Two-dimensional_Gaussian_function
BandBand model from Band et al., 1993, parametrized with the peak energy

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