basic/Plasma Beta with FGM and FPI data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Aj5Bsgl7uwnb"
   },
   "source": [
    "# Plasma Beta with FGM and FPI data\n",
    "\n",
    "This notebook shows how to calculate plasma beta with FGM and FPI data"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "This command sets up the PySPEDAS environment when running in Google Colab.  You can skip it or comment it out if you're running this notebook in an environment that already has PySPEDAS installed."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "!pip install pyspedas"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KNJRbVDeuwnh"
   },
   "source": [
    "## Get started"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "6H5xcyaiuwni",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:08:12.910857Z",
     "start_time": "2023-12-08T19:08:07.474115Z"
    }
   },
   "outputs": [],
   "source": [
    "from pyspedas.mms import fgm, fpi # load routines\n",
    "from pyspedas import tinterpol # interpolate tplot variables\n",
    "from pytplot import tplot, get_data, store_data # plot, access, and create tplot variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TAwmO6fluwnk"
   },
   "source": [
    "## Define some constants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "55-RQnwpuwnl",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:08:12.912833Z",
     "start_time": "2023-12-08T19:08:12.911586Z"
    }
   },
   "outputs": [],
   "source": [
    "mu0 = 1256.0 # nT-m/A\n",
    "Kb = 1.3807*10**(-16.) # cm^2-g-1/s^2-1/K"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XuQB89akuwnm"
   },
   "source": [
    "## Set some options for the load routines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "JC_r8wvNuwnm",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:08:12.915053Z",
     "start_time": "2023-12-08T19:08:12.913430Z"
    }
   },
   "outputs": [],
   "source": [
    "probe = '1'\n",
    "trange = ['2015-10-16/11:00', '2015-10-16/14:00']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sSCr4Fuwuwnn"
   },
   "source": [
    "## Load the FGM and FPI data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "D0ZGRuoSuwno",
    "outputId": "af873707-8790-4ec0-e878-1bd8ab596966",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:16.341652Z",
     "start_time": "2023-12-08T19:08:12.916478Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "08-Dec-23 11:08:14: Downloading mms1_fgm_srvy_l2_20151016_v4.18.0.cdf to pydata/mms1/fgm/srvy/l2/2015/10\n",
      "08-Dec-23 11:09:02: Loaded variables:\n",
      "08-Dec-23 11:09:02: Epoch\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_gse_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_gsm_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_dmpa_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_bcs_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_flag_srvy_l2\n",
      "08-Dec-23 11:09:02: Epoch_state\n",
      "08-Dec-23 11:09:02: mms1_fgm_hirange_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_bdeltahalf_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_stemp_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_etemp_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_mode_srvy_l2\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_dmpa_srvy_l2_bvec\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_dmpa_srvy_l2_btot\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_gse_srvy_l2_bvec\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_gse_srvy_l2_btot\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_gsm_srvy_l2_bvec\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_gsm_srvy_l2_btot\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_bcs_srvy_l2_bvec\n",
      "08-Dec-23 11:09:02: mms1_fgm_b_bcs_srvy_l2_btot\n",
      "08-Dec-23 11:09:04: Downloading mms1_fpi_fast_l2_dis-moms_20151016100000_v3.4.0.cdf to pydata/mms1/fpi/fast/l2/dis-moms/2015/10\n",
      "08-Dec-23 11:09:05: Downloading mms1_fpi_fast_l2_dis-moms_20151016120000_v3.4.0.cdf to pydata/mms1/fpi/fast/l2/dis-moms/2015/10\n",
      "08-Dec-23 11:09:07: Downloading mms1_fpi_fast_l2_des-moms_20151016100000_v3.4.0.cdf to pydata/mms1/fpi/fast/l2/des-moms/2015/10\n",
      "08-Dec-23 11:09:12: Downloading mms1_fpi_fast_l2_des-moms_20151016120000_v3.4.0.cdf to pydata/mms1/fpi/fast/l2/des-moms/2015/10\n",
      "08-Dec-23 11:09:16: The name mms1_dis_pitchangdist_lowen_fast is currently not in pytplot\n",
      "08-Dec-23 11:09:16: The name mms1_dis_pitchangdist_miden_fast is currently not in pytplot\n",
      "08-Dec-23 11:09:16: The name mms1_dis_pitchangdist_highen_fast is currently not in pytplot\n",
      "08-Dec-23 11:09:16: Loaded variables:\n",
      "08-Dec-23 11:09:16: Epoch\n",
      "08-Dec-23 11:09:16: Epoch_plus_var\n",
      "08-Dec-23 11:09:16: Epoch_minus_var\n",
      "08-Dec-23 11:09:16: mms1_des_errorflags_fast\n",
      "08-Dec-23 11:09:16: mms1_des_compressionloss_fast\n",
      "08-Dec-23 11:09:16: mms1_des_startdelphi_count_fast\n",
      "08-Dec-23 11:09:16: mms1_des_startdelphi_angle_fast\n",
      "08-Dec-23 11:09:16: mms1_des_pitchangdist_lowen_fast\n",
      "08-Dec-23 11:09:16: mms1_des_pitchangdist_miden_fast\n",
      "08-Dec-23 11:09:16: mms1_des_pitchangdist_highen_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_px_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_mx_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_py_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_my_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_pz_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_mz_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_par_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_anti_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_perp_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energyspectr_omni_fast\n",
      "08-Dec-23 11:09:16: mms1_des_numberdensity_fast\n",
      "08-Dec-23 11:09:16: mms1_des_numberdensity_err_fast\n",
      "08-Dec-23 11:09:16: mms1_des_densityextrapolation_low_fast\n",
      "08-Dec-23 11:09:16: mms1_des_densityextrapolation_high_fast\n",
      "08-Dec-23 11:09:16: mms1_des_bulkv_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_des_bulkv_spintone_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_des_bulkv_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_des_bulkv_spintone_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_des_bulkv_err_fast\n",
      "08-Dec-23 11:09:16: mms1_des_prestensor_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_des_prestensor_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_des_prestensor_err_fast\n",
      "08-Dec-23 11:09:16: mms1_des_temptensor_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_des_temptensor_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_des_temptensor_err_fast\n",
      "08-Dec-23 11:09:16: mms1_des_heatq_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_des_heatq_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_des_heatq_err_fast\n",
      "08-Dec-23 11:09:16: mms1_des_alpha_fast\n",
      "08-Dec-23 11:09:16: mms1_des_alpha_delta_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energy_fast\n",
      "08-Dec-23 11:09:16: mms1_des_energy_delta_fast\n",
      "08-Dec-23 11:09:16: mms1_des_temppara_fast\n",
      "08-Dec-23 11:09:16: mms1_des_tempperp_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_errorflags_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_compressionloss_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_startdelphi_count_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_startdelphi_angle_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_px_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_mx_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_py_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_my_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_pz_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_mz_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energyspectr_omni_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_spectr_bg_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_numberdensity_bg_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_numberdensity_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_numberdensity_err_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_densityextrapolation_low_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_densityextrapolation_high_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_bulkv_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_bulkv_spintone_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_bulkv_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_bulkv_spintone_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_bulkv_err_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_prestensor_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_prestensor_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_prestensor_err_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_pres_bg_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_temptensor_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_temptensor_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_temptensor_err_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_heatq_dbcs_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_heatq_gse_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_heatq_err_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energy_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_energy_delta_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_temppara_fast\n",
      "08-Dec-23 11:09:16: mms1_dis_tempperp_fast\n",
      "08-Dec-23 11:09:16: mms1_des_errorflags_fast_moms\n",
      "08-Dec-23 11:09:16: mms1_des_compressionloss_fast_moms\n",
      "08-Dec-23 11:09:16: mms1_dis_errorflags_fast_moms\n",
      "08-Dec-23 11:09:16: mms1_dis_compressionloss_fast_moms\n",
      "08-Dec-23 11:09:16: mms1_dis_errorflags_fast_moms_flagbars_full\n",
      "08-Dec-23 11:09:16: mms1_dis_errorflags_fast_moms_flagbars_main\n",
      "08-Dec-23 11:09:16: mms1_dis_errorflags_fast_moms_flagbars_others\n",
      "08-Dec-23 11:09:16: mms1_dis_errorflags_fast_moms_flagbars_mini\n",
      "08-Dec-23 11:09:16: mms1_des_pitchangdist_avg\n",
      "08-Dec-23 11:09:16: mms1_des_errorflags_fast_moms_flagbars_full\n",
      "08-Dec-23 11:09:16: mms1_des_errorflags_fast_moms_flagbars_main\n",
      "08-Dec-23 11:09:16: mms1_des_errorflags_fast_moms_flagbars_others\n",
      "08-Dec-23 11:09:16: mms1_des_errorflags_fast_moms_flagbars_mini\n"
     ]
    }
   ],
   "source": [
    "fgm_vars = fgm(trange=trange, probe=probe)\n",
    "fpi_vars = fpi(datatype=['dis-moms', 'des-moms'], trange=trange, probe=probe, center_measurement=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KTz44QWhuwnq"
   },
   "source": [
    "## Set some variable names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "eYyeCsinuwnq",
    "ExecuteTime": {
     "start_time": "2023-12-08T19:09:16.356717Z"
    }
   },
   "outputs": [],
   "source": [
    "temp_para_i = 'mms'+probe+'_dis_temppara_fast'\n",
    "temp_perp_i = 'mms'+probe+'_dis_tempperp_fast'\n",
    "temp_para_e = 'mms'+probe+'_des_temppara_fast'\n",
    "temp_perp_e = 'mms'+probe+'_des_tempperp_fast'\n",
    "number_density_i = 'mms'+probe+'_dis_numberdensity_fast'\n",
    "number_density_e = 'mms'+probe+'_des_numberdensity_fast'\n",
    "b_field = 'mms'+probe+'_fgm_b_gsm_srvy_l2'\n",
    "b_magnitude = 'mms'+probe+'_fgm_b_gsm_srvy_l2_mag'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uAa5l0RAuwnr"
   },
   "source": [
    "## Split the B-field magnitude into its own variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "t5xLNkJ6uwns",
    "outputId": "15c2054c-2da5-4a3c-ee7b-a90269e27623",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.452613Z",
     "start_time": "2023-12-08T19:09:16.357878Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "True"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "times, data = get_data(b_field)\n",
    "store_data(b_magnitude, data={'x': times, 'y': data[:, 3]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Be0UUiuBuwnt"
   },
   "source": [
    "## Interpolate the B-field data to the FPI time stamps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "tbWXXesvuwnu",
    "outputId": "b56f4cad-3d17-4a37-8e29-ffc33f2bd6de",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.492686Z",
     "start_time": "2023-12-08T19:09:17.453025Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "08-Dec-23 11:09:17: tinterpol (linear) was applied to: b_mag_interpolated\n"
     ]
    }
   ],
   "source": [
    "tinterpol(b_magnitude, number_density_i, newname=['b_mag_interpolated'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9vuX5x1Yuwnv"
   },
   "source": [
    "## Extract the data from the pyTplot variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "tBYIX5druwnv",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.495995Z",
     "start_time": "2023-12-08T19:09:17.493176Z"
    }
   },
   "outputs": [],
   "source": [
    "btimes, bdata = get_data('b_mag_interpolated')\n",
    "\n",
    "ipatimes, i_para_temp = get_data(temp_para_i)\n",
    "ipetimes, i_perp_temp = get_data(temp_perp_i)\n",
    "epatimes, e_para_temp = get_data(temp_para_e)\n",
    "epetimes, e_perp_temp = get_data(temp_perp_e)\n",
    "\n",
    "nitimes, i_n = get_data(number_density_i)\n",
    "netimes, e_n = get_data(number_density_e)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5RuXShRouwnw"
   },
   "source": [
    "## Calculate the magnetic pressure\n",
    "\n",
    "note: 1.0e-8 comes from A-nT/m -> g/(s^2-cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "w2cMPYT1uwnx",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.499028Z",
     "start_time": "2023-12-08T19:09:17.496366Z"
    }
   },
   "outputs": [],
   "source": [
    "Pmag = 1.0e-8*bdata**2/(2.0*mu0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "svLPx7O7uwny"
   },
   "source": [
    "## Calculate the ion and electron temperatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "m_YKRZA8uwny",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.500710Z",
     "start_time": "2023-12-08T19:09:17.499018Z"
    }
   },
   "outputs": [],
   "source": [
    "Te_total=(e_para_temp+2*e_perp_temp)/3.0\n",
    "Ti_total=(i_para_temp+2*i_perp_temp)/3.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7sKflmQeuwnz"
   },
   "source": [
    "## Calculate the plasma pressure\n",
    "\n",
    "note: eV -> K conversion: 11604.505 K/eV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "EIMuG3gnuwnz",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.503364Z",
     "start_time": "2023-12-08T19:09:17.501594Z"
    }
   },
   "outputs": [],
   "source": [
    "Pplasma = (i_n*11604.505*Ti_total+e_n*11604.505*Te_total)*Kb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "u35_OiWuuwn0"
   },
   "source": [
    "## Calculate plasma beta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "-YY6RsOiuwn0",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.505995Z",
     "start_time": "2023-12-08T19:09:17.504082Z"
    }
   },
   "outputs": [],
   "source": [
    "Beta = Pplasma/Pmag"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CCRWGXbruwn1"
   },
   "source": [
    "## Store the data in pyTplot variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "yJyZA5-muwn1",
    "outputId": "de9eac13-f20b-4375-997e-f2e2ac6d7ec3",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.524693Z",
     "start_time": "2023-12-08T19:09:17.510798Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "True"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store_data('plasma_beta', data={'x': btimes, 'y': Beta})\n",
    "store_data('magnetic_pressure', data={'x': btimes, 'y': Pmag})\n",
    "store_data('plasma_pressure', data={'x': btimes, 'y': Pplasma})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "duxiB-8ouwn2"
   },
   "source": [
    "## Plot the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 608
    },
    "id": "_vNpyzfguwn2",
    "outputId": "783090b6-1075-43fd-efb4-9c4b26ac28a0",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.875979Z",
     "start_time": "2023-12-08T19:09:17.525434Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1200x500 with 3 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tplot(['plasma_beta', 'plasma_pressure', 'magnetic_pressure'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "08ksgU3iuwn3",
    "ExecuteTime": {
     "end_time": "2023-12-08T19:09:17.878247Z",
     "start_time": "2023-12-08T19:09:17.876209Z"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "colab": {
   "name": "Plasma Beta with FGM and FPI data.ipynb",
   "provenance": [],
   "collapsed_sections": []
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}