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S82 RRLyr notebook
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Examples | ||
======================================================================================== | ||
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Some examples of how to use the TAPE package are provided in these notebooks. | ||
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.. toctree:: | ||
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Use Lomb–Scargle Periodograms for SDSS Stripe 82 RR Lyrae <examples/rrlyr-period> |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "7bc777c97b317198", | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"source": [ | ||
"# Explore SDSS Stripe 82 RR Lyrae catalog with period-folding\n", | ||
"\n", | ||
"This short example notebook demonstrates how to use TAPE to explore the SDSS Stripe 82 RR Lyrae catalog. We will use a Lomb–Scargle periodogram to extract periods from r-band light curves and select the RR Lyrae star with the most confident period determination. Then, we will plot the period-folded light curve for this RR Lyrae star." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "initial_id", | ||
"metadata": { | ||
"ExecuteTime": { | ||
"end_time": "2023-09-20T13:16:49.339804Z", | ||
"start_time": "2023-09-20T13:16:48.655140Z" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import matplotlib.pyplot as plt\n", | ||
"from light_curve import Periodogram\n", | ||
"from tape import Ensemble" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "fecf2313f49ad1ac", | ||
"metadata": { | ||
"ExecuteTime": { | ||
"end_time": "2023-09-20T13:16:53.703300Z", | ||
"start_time": "2023-09-20T13:16:49.340873Z" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# Load SDSS Stripe 82 RR Lyrae catalog\n", | ||
"ens = Ensemble(client=False).from_dataset('s82_rrlyrae')" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "5c2dd5a5fd58ce00", | ||
"metadata": { | ||
"ExecuteTime": { | ||
"end_time": "2023-09-20T13:17:00.548389Z", | ||
"start_time": "2023-09-20T13:16:53.706738Z" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"%%time\n", | ||
"\n", | ||
"# Filter out invalid detections, \"flux\" denotes magnitude column\n", | ||
"ens = ens.query(\"10 < flux < 25\", table=\"source\")\n", | ||
"\n", | ||
"# Find periods using Lomb-Scargle periodogram\n", | ||
"periodogram = Periodogram(peaks=1, nyquist=0.1, max_freq_factor=10, fast=False)\n", | ||
"\n", | ||
"# Use r band only\n", | ||
"df = ens.batch(periodogram, band_to_calc='r')\n", | ||
"display(df)\n", | ||
"\n", | ||
"# Find RR Lyr with the most confient period\n", | ||
"id = df.index[df['period_s_to_n_0'].argmax()]\n", | ||
"period = df['period_0'].loc[id]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "f79ad1eb83d0d125", | ||
"metadata": { | ||
"ExecuteTime": { | ||
"end_time": "2023-09-20T13:17:00.655691Z", | ||
"start_time": "2023-09-20T13:17:00.548017Z" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# Plot folded light curve\n", | ||
"ts = ens.to_timeseries(id)\n", | ||
"COLORS = {'u': 'blue', 'g': 'green', 'r': 'orange', 'i': 'red', 'z': 'purple'}\n", | ||
"color = [COLORS[band] for band in ts.band]\n", | ||
"plt.title(f'{id} P={period:.3f} d')\n", | ||
"plt.gca().invert_yaxis()\n", | ||
"plt.scatter(ts.time % period / period, ts.flux, c=color, s=7)\n", | ||
"plt.xlim([0, 1])\n", | ||
"plt.xlabel('Phase')\n", | ||
"plt.ylabel('Magnitude')" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "cf157e25e291651a", | ||
"metadata": { | ||
"ExecuteTime": { | ||
"end_time": "2023-09-20T13:17:00.655819Z", | ||
"start_time": "2023-09-20T13:17:00.647036Z" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.6" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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