{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import madrigalWeb.madrigalWeb\n", "import pylab\n", "import matplotlib.cm\n", "import numpy\n", "import h5py\n", "import datetime\n", "import dateutil.parser\n", "import calendar\n", "import re\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "#CHANGE ME\n", "user_fullname = \"Student Example\"\n", "user_email = \"isr.summer.school@gmail.com\"\n", "user_affiliation = \"ISR Summer School 2022\"\n", "\n", "maddat = madrigalWeb.madrigalWeb.MadrigalData('http://cedar.openmadrigal.org/')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# instrument codes for Millstone Hill\n", "instcodes={'MHO':30}" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "id: 100239878\n", "realUrl: http://cedar.openmadrigal.org/showExperiment/?experiment_list=100239878\n", "url: http://cedar.openmadrigal.org/madtoc/experiments5/2022/mlh/30mar22\n", "name: CME Experiment\n", "siteid: 10\n", "sitename: CEDAR\n", "instcode: 30\n", "instname: Millstone Hill IS Radar\n", "startyear: 2022\n", "startmonth: 3\n", "startday: 30\n", "starthour: 16\n", "startmin: 51\n", "startsec: 49\n", "endyear: 2022\n", "endmonth: 3\n", "endday: 30\n", "endhour: 23\n", "endmin: 59\n", "endsec: 16\n", "isLocal: True\n", "madrigalUrl: http://cedar.openmadrigal.org/\n", "PI: Phil Erickson\n", "PIEmail: perickson@haystack.mit.edu\n", "uttimestamp: 1653996166\n", "access: 2\n", "Madrigal version: 3.2\n", "\n", "id: 100237860\n", "realUrl: http://cedar.openmadrigal.org/showExperiment/?experiment_list=100237860\n", "url: http://cedar.openmadrigal.org/madtoc/experiments5/2022/mlh/30mar22p\n", "name: High resolution F2 Peak Density and Hmax (From Plasma Line)\n", "siteid: 10\n", "sitename: CEDAR\n", "instcode: 30\n", "instname: Millstone Hill IS Radar\n", "startyear: 2022\n", "startmonth: 3\n", "startday: 30\n", "starthour: 16\n", "startmin: 51\n", "startsec: 49\n", "endyear: 2022\n", "endmonth: 3\n", "endday: 30\n", "endhour: 23\n", "endmin: 36\n", "endsec: 17\n", "isLocal: True\n", "madrigalUrl: http://cedar.openmadrigal.org/\n", "PI: Phil Erickson\n", "PIEmail: perickson@haystack.mit.edu\n", "uttimestamp: 1649113293\n", "access: 2\n", "Madrigal version: 3.2\n", "\n", "id: 100239889\n", "realUrl: http://cedar.openmadrigal.org/showExperiment/?experiment_list=100239889\n", "url: http://cedar.openmadrigal.org/madtoc/experiments5/2022/mlh/30mar22a\n", "name: Alternate processing using USRP receiver - not for science use\n", "siteid: 10\n", "sitename: CEDAR\n", "instcode: 30\n", "instname: Millstone Hill IS Radar\n", "startyear: 2022\n", "startmonth: 3\n", "startday: 30\n", "starthour: 16\n", "startmin: 51\n", "startsec: 49\n", "endyear: 2022\n", "endmonth: 3\n", "endday: 30\n", "endhour: 23\n", "endmin: 59\n", "endsec: 16\n", "isLocal: True\n", "madrigalUrl: http://cedar.openmadrigal.org/\n", "PI: Phil Erickson\n", "PIEmail: perickson@haystack.mit.edu\n", "uttimestamp: 1653996368\n", "access: 2\n", "Madrigal version: 3.2\n", "\n" ] } ], "source": [ "# start time\n", "st=datetime.datetime(2022, 3, 30, 0,0)\n", "et=datetime.datetime(2022, 3, 31, 0,0)\n", "\n", "expList = maddat.getExperiments(instcodes['MHO'], \n", " st.year, st.month, st.day, st.hour, st.minute, st.second, \n", " et.year, et.month, et.day, et.hour, et.minute, et.second)\n", "for exp in expList:\n", " print(exp)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selecting: CME Experiment\n" ] } ], "source": [ "# select experiment (regular ion line parameters)\n", "for thisExp in expList:\n", " if re.match(thisExp.name, 'CME Experiment'):\n", " break\n", "print('Selecting: %s' % (thisExp.name))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Gridded data fitted to a uniform spatial and temporal grid - useful for modellers\n", "Derived vector ion velocities\n", "Combined basic parameters file - all antennas and modes\n", "Zenith single-pulse basic parameters\n", "Zenith alternating-code basic parameters\n", "MISA (steerable) single-pulse basic parameters\n" ] } ], "source": [ "# survey all experiment files available\n", "fileList = maddat.getExperimentFiles(thisExp.id)\n", "thisFile=None\n", "for file in fileList:\n", " print(file.kindatdesc)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using: name: /opt/cedar3/experiments5/2022/mlh/30mar22/mlh220330g.003.hdf5\n", "kindat: 3410\n", "kindatdesc: Combined basic parameters file - all antennas and modes\n", "category: 1\n", "status: Final\n", "permission: 0\n", "expId: 100239878\n", "doi: https://w3id.org/cedar?experiment_list=experiments5/2022/mlh/30mar22&file_list=mlh220330g.003.hdf5\n", "\n" ] } ], "source": [ "# Select the correct experiment file (All antennas)\n", "fileList = maddat.getExperimentFiles(thisExp.id)\n", "thisFile=None\n", "for file in fileList:\n", " if re.match('Combined basic parameters',file.kindatdesc):\n", " print('Using: %s' % (file))\n", " thisFile=file\n", " break" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Download the file (should end up in this folder) \n", "filename=thisFile.name\n", "outfilename=thisFile.name.split('/')[-1]\n", "result = maddat.downloadFile(filename,outfilename, user_fullname, user_email, user_affiliation, 'hdf5')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Load file and get data table\n", "hz = h5py.File(outfilename,'r')\n", "hztl = hz['Data']['Table Layout']" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Unique pulse lengths in sec: [0.00128, 0.00048]\n" ] } ], "source": [ "# Survey the radar pulse lengths in this experiment\n", "print('Unique pulse lengths in sec: %s' % (list(set(hztl['pl']))))" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# antenna codes for Millstone Hill\n", "antcodes={'Zenith':32,\n", " 'MISA':31}" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# waveform mode types for Millstone Hill\n", "modecodes={'Uncoded480':115,\n", " 'AC_480_16baud_strong':97}" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# Select the 480 usec uncoded pulse from the zenith at the desired times\n", "indx = numpy.where(numpy.logical_and(hztl['mdtyp'] == modecodes['Uncoded480'],\n", " hztl['kinst'] == antcodes['Zenith']))[0]\n", "hztl = hztl[indx]" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# Build a time array\n", "ut = 0.5*(hztl['ut1_unix'] + hztl['ut2_unix'])\n", "dut = numpy.array([datetime.datetime.utcfromtimestamp(uut) for uut in ut])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# Electron density:\n", "# Construct X and Y meshgrid arrays for 2D plot and extract data for plotting\n", "tcount = len(set(ut))\n", "X = numpy.array(hztl['gdalt'])\n", "X = X.reshape(tcount,-1)\n", "Y = numpy.array(dut)\n", "Y = Y.reshape(tcount,-1)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Make double panel figure:\n", "# Electron density, LOS velocity\n", "\n", "pylab.rcParams['figure.figsize']=(15,10)\n", "pylab.rcParams['font.size']=18\n", "f,ax = pylab.subplots(2,1,sharex=True)\n", "\n", "Z = numpy.log10(hztl['ne'])\n", "Z = Z.reshape(X.shape)\n", "am = ax[0].pcolor(Y, X, Z, vmin=10, vmax=12, cmap='jet')\n", "ax[0].set_ylim(150,500)\n", "f.colorbar(am, ax=ax[0], label='Log10([e-])')\n", "ax[0].set_ylabel('Altitude (km)')\n", "ax[0].set_title('Millstone Hill Zenith %s El=%.0f' % (dut[0].strftime('%Y-%m-%d'),\n", " hztl['el1'][0]))\n", "\n", "Z = hztl['vo']\n", "Z = Z.reshape(X.shape)\n", "am = ax[1].pcolor(Y, X, Z, vmin=-100, vmax=100, cmap='jet')\n", "ax[1].set_ylim(150,500)\n", "f.colorbar(am, ax=ax[1], label='LOS Velocity (m/s)')\n", "ax[1].set_ylabel('Altitude (km)')\n", "\n", "f.autofmt_xdate()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "# Re-load file and get data table\n", "hz = h5py.File(outfilename,'r')\n", "hztl = hz['Data']['Table Layout']" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# Select the 480 usec uncoded pulse from the MISA at the desired times\n", "indx = numpy.where(numpy.logical_and(hztl['mdtyp'] == modecodes['Uncoded480'],\n", " hztl['kinst'] == antcodes['MISA']))[0]\n", "hztl = hztl[indx]" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "# Build a time array\n", "ut = 0.5*(hztl['ut1_unix'] + hztl['ut2_unix'])\n", "dut = numpy.array([datetime.datetime.utcfromtimestamp(uut) for uut in ut])" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{-45.11, -45.1, -45.09, -45.08, -45.07, -45.06, -45.05}" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "set(hztl['az1'])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# Electron density:\n", "# Construct X and Y meshgrid arrays for 2D plot and extract data for plotting\n", "tcount = len(set(ut))\n", "X = numpy.array(hztl['gdalt'])\n", "X = X.reshape(tcount,-1)\n", "Y = numpy.array(dut)\n", "Y = Y.reshape(tcount,-1)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/fv/q7qf8rjn6zdd37k3vttxspjw0000gp/T/ipykernel_36994/3024634079.py:10: UserWarning: The input coordinates to pcolor are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolor.\n", " am = ax[0].pcolor(Y, X, Z, vmin=9, vmax=12, cmap='jet')\n", "/var/folders/fv/q7qf8rjn6zdd37k3vttxspjw0000gp/T/ipykernel_36994/3024634079.py:20: UserWarning: The input coordinates to pcolor are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolor.\n", " am = ax[1].pcolor(Y, X, Z, vmin=-100, vmax=100, cmap='jet')\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Make double panel figure:\n", "# Electron density, LOS velocity\n", "\n", "pylab.rcParams['figure.figsize']=(15,10)\n", "pylab.rcParams['font.size']=18\n", "f,ax = pylab.subplots(2,1,sharex=True)\n", "\n", "Z = numpy.log10(hztl['ne'])\n", "Z = Z.reshape(X.shape)\n", "am = ax[0].pcolor(Y, X, Z, vmin=9, vmax=12, cmap='jet')\n", "ax[0].set_ylim(150,600)\n", "f.colorbar(am, ax=ax[0], label='Log10([e-])')\n", "ax[0].set_ylabel('Altitude (km)')\n", "ax[0].set_title('Millstone Hill MISA %s Az=%.0f El=%.0f' % (dut[0].strftime('%Y-%m-%d'),\n", " hztl['az1'][0],\n", " hztl['el1'][0]))\n", "\n", "Z = hztl['vo']\n", "Z = Z.reshape(X.shape)\n", "am = ax[1].pcolor(Y, X, Z, vmin=-100, vmax=100, cmap='jet')\n", "ax[1].set_ylim(150,600)\n", "f.colorbar(am, ax=ax[1], label='LOS Velocity (m/s)')\n", "ax[1].set_ylabel('Altitude (km)')\n", "\n", "f.autofmt_xdate()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Questions\n", "\n", "1. What happened at 21 UTC and 22-23 UTC?\n", "\n", "2. What was the magnetic/auroral activity during these periods?\n", "\n", "3. What could be analyzed by combining two different line of sight velocity directions (Zenith, MISA at -45 az / 16 el)? How far are these points apart and how would that effect combined analysis of the two directions for this experiment?" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.12" } }, "nbformat": 4, "nbformat_minor": 4 }