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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Pulsing Pulsars in Uniview"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<img src=https://raw.githubusercontent.com/marksubbarao/Uniview/master/images/pulsar.png>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Code to download Pulsar catalog in VizieR and output in a format readable by the USES (Uniview Shader Effect System). Custom shaders are created to pulse the pulsars in realtime"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Imports"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Set up astropy and astroquery \n",
      "from astropy.table import Table,Column\n",
      "from astropy.coordinates import SkyCoord, Distance, CartesianRepresentation\n",
      "from astropy import units as u\n",
      "from astroquery.vizier import Vizier"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Set up Matplotlib\n",
      "%config InlineBackend.rc = {}\n",
      "import matplotlib\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Process Pulsar Catalog"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Acquire Catalog"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will use a catalog of 706 pulsars from <a href=\"http://cdsads.u-strasbg.fr/cgi-bin/nph-bib_query?1993ApJS...88..529T&db_key=AST&nosetcookie=1\">(Taylor+ 1995)</a>. This is VizieR catalog ID <a href=\"http://vizier.u-strasbg.fr/viz-bin/VizieR-3?-source=VII/189&-out.max=50&-out.form=HTML%20Table&-out.add=_r&-out.add=_RAJ,_DEJ&-sort=_r&-oc.form=sexa\">VII/189</a><br>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "v=Vizier(columns=['L']) #Need to ask for L explicitly as it is not part of the standard returned elements\n",
      "v.ROW_LIMIT = -1\n",
      "Cats = v.get_catalogs('VII/189')\n",
      "pulsarCat=Cats[0]\n",
      "pulsarCat.keep_columns([\"RAJ2000\",\"DEJ2000\",\"dist\",\"P\",\"Age\",\"L\"])\n",
      "#Create Column with dist in pc (not kpc) for WWT\n",
      "distCol=Column(1000*pulsarCat['dist'].filled(0),name='distance',meta={'ucd': 'pos.distance'}, unit='pc')\n",
      "pulsarCat.add_column(distCol)\n",
      "del pulsarCat['dist']\n",
      "pulsarCat.rename_column('RAJ2000', 'RA')\n",
      "pulsarCat.rename_column('DEJ2000', 'dec')\n",
      "pulsarCoords=SkyCoord(pulsarCat['RA'],pulsarCat['dec'],unit=(u.degree, u.degree),\\\n",
      "                   distance=Distance(pulsarCat['distance'],u.pc),frame='icrs')\n",
      "pulsarGalCoords = pulsarCoords.galactic\n",
      "pulsarGalCoords.representation='cartesian'\n",
      "#Now we'll add the projection into the Galactic coordinate, minus signs convert from left-handed towards anti-center to right handed towards center\n",
      "pulsarCat.add_column(Column(-1.0*pulsarCoords.galactic.represent_as(CartesianRepresentation).x,name='x_gal_coord',meta={'ucd': 'pos.cartesian.x'}),0)\n",
      "pulsarCat.add_column(Column(-1.0*pulsarCoords.galactic.represent_as(CartesianRepresentation).y,name='y_gal_coord',meta={'ucd': 'pos.cartesian.y'}),1)\n",
      "pulsarCat.add_column(Column(pulsarCoords.galactic.represent_as(CartesianRepresentation).z,name='z_gal_coord',meta={'ucd': 'pos.cartesian.z'}),2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "C:\\Anaconda\\lib\\site-packages\\astroquery\\vizier\\core.py:556: UserWarning: VOTABLE parsing raised exception: \n",
        "  warnings.warn(\"VOTABLE parsing raised exception: {0}\".format(ex))\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Print Catalog"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pulsarCat"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "<table id=\"table201918504\"><thead><tr><th>x_gal_coord</th><th>y_gal_coord</th><th>z_gal_coord</th><th>L</th><th>RA</th><th>dec</th><th>P</th><th>Age</th><th>distance</th></tr></thead><thead><tr><th>pc</th><th>pc</th><th>pc</th><th>[mJy.kpc2]</th><th>deg</th><th>deg</th><th>s</th><th>[yr]</th><th>pc</th></tr></thead><tr><td>159.702406285</td><td>-486.532971175</td><td>-477.26387815</td><td>-1.009</td><td>1.52000</td><td>18.58306</td><td>0.6937476704700000</td><td>6.719</td><td>700.00</td></tr><tr><td>794.305967523</td><td>-1593.31716053</td><td>-464.777856515</td><td>1.676</td><td>3.57393</td><td>47.77585</td><td>1.2406989780800000</td><td>7.543</td><td>1840.00</td></tr><tr><td>-1870.39260492</td><td>2581.60854767</td><td>-3175.99257085</td><td>1.491</td><td>5.95976</td><td>-72.07540</td><td>0.0057567800116100</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.42525015</td><td>2582.95608052</td><td>-3176.05493824</td><td>1.284</td><td>6.05782</td><td>-72.07884</td><td>0.0053575732859000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0035363290000000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0026235790000000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0040403790000000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0032105000000000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0034849930000000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0021006334000000</td><td>--</td><td>4500.00</td></tr><tr><td>-1868.98589738</td><td>2582.26220404</td><td>-3176.28928547</td><td>0.000</td><td>6.02464</td><td>-72.07304</td><td>0.0043461700000000</td><td>--</td><td>4500.00</td></tr><tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr><tr><td>114.973253897</td><td>-1125.70324177</td><td>-824.362397462</td><td>1.468</td><td>349.49082</td><td>21.83064</td><td>1.4446526746999999</td><td>7.338</td><td>1400.00</td></tr><tr><td>1211.09859835</td><td>-2983.39220111</td><td>-31.7987330787</td><td>2.572</td><td>350.47994</td><td>60.40852</td><td>2.2564878673700002</td><td>6.706</td><td>3220.00</td></tr><tr><td>70.3896015162</td><td>-616.381061248</td><td>-472.778691708</td><td>0.231</td><td>350.59315</td><td>20.95082</td><td>0.0048084282098382</td><td>9.893</td><td>780.00</td></tr><tr><td>-517.471591703</td><td>427.687998208</td><td>-896.496585587</td><td>0.700</td><td>351.11195</td><td>-60.90108</td><td>2.3474851960000001</td><td>7.155</td><td>1120.00</td></tr><tr><td>4226.30402348</td><td>-9757.46118059</td><td>374.039583838</td><td>2.957</td><td>351.30579</td><td>63.28274</td><td>1.4363084791000000</td><td>6.896</td><td>10640.00</td></tr><tr><td>1879.18073922</td><td>-4438.58982913</td><td>0.279532256375</td><td>2.597</td><td>351.74460</td><td>61.22681</td><td>0.2336519310508000</td><td>7.021</td><td>4820.00</td></tr><tr><td>-108.083846043</td><td>-126.082109584</td><td>-461.000199422</td><td>1.004</td><td>352.61170</td><td>-20.09127</td><td>1.6436209539400000</td><td>6.750</td><td>490.00</td></tr><tr><td>1015.80265467</td><td>-2251.43146642</td><td>10.0657228859</td><td>1.785</td><td>354.27408</td><td>61.85052</td><td>0.4952787846500000</td><td>4.612</td><td>2470.00</td></tr><tr><td>-91.0604128026</td><td>-847.621752357</td><td>-1753.78030727</td><td>1.621</td><td>356.77083</td><td>-6.20000</td><td>1.1814499999999999</td><td>--</td><td>1950.00</td></tr><tr><td>1454.56914514</td><td>-2950.9666276</td><td>-11.1608607905</td><td>2.265</td><td>358.51962</td><td>61.92966</td><td>0.9447824489830000</td><td>5.964</td><td>3290.00</td></tr></table>"
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       "text": [
        "<Table rows=706 names=('x_gal_coord','y_gal_coord','z_gal_coord','L','RA','dec','P','Age','distance') units=('pc','pc','pc','[mJy.kpc2]','deg','deg','s','[yr]','pc')>\n",
        "masked_array(data = [ (159.70240628473888, -486.53297117477007, -477.2638781499335, -1.009, 1.52, 18.58306, 0.69374767047, 6.719, 700.0)\n",
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        " (-1868.9858973764724, 2582.262204035131, -3176.289285474402, 0.0, 6.02464, -72.07304, 0.0032105, --, 4500.0)\n",
        " (-1868.9858973764724, 2582.262204035131, -3176.289285474402, 0.0, 6.02464, -72.07304, 0.003484993, --, 4500.0)\n",
        " (-1868.9858973764724, 2582.262204035131, -3176.289285474402, 0.0, 6.02464, -72.07304, 0.0021006334, --, 4500.0)\n",
        " (-1868.9858973764724, 2582.262204035131, -3176.289285474402, 0.0, 6.02464, -72.07304, 0.00434617, --, 4500.0)\n",
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        " (-1868.9858973764724, 2582.262204035131, -3176.289285474402, 0.0, 6.02464, -72.07304, 0.003053954, --, 4500.0)\n",
        " (134.10354080085193, -340.5780590552047, -909.0780087730994, 1.187, 8.59094, -5.57682, 0.00187718185402, 9.647, 980.0)\n",
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        " (-756.369400533185, 1427.8452276396085, -1706.3596736455838, 1.386, 23.075, -70.16667, 0.463475, --, 2350.0)\n",
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        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, False, False)\n",
        " (False, False, False, False, False, False, False, True, False)\n",
        " (False, False, False, False, False, False, False, False, False)],\n",
        "       fill_value = (1e+20, 1e+20, 1e+20, 1e+20, 1e+20, 1e+20, 1e+20, 1e+20, 1e+20),\n",
        "            dtype = [('x_gal_coord', '<f8'), ('y_gal_coord', '<f8'), ('z_gal_coord', '<f8'), ('L', '<f8'), ('RA', '<f8'), ('dec', '<f8'), ('P', '<f8'), ('Age', '<f8'), ('distance', '<f8')])"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Plot the Catalog"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import seaborn\n",
      "import numpy as np\n",
      "fig = plt.figure (figsize=(13,3))\n",
      "ax = fig.add_subplot(121,projection=\"mollweide\")\n",
      "ax.grid(True)\n",
      "ax.set_title(\"Pulsar Sky Distribution\")\n",
      "ax.scatter(pulsarCoords.galactic.l.wrap_at(180.*u.degree).radian,pulsarCoords.galactic.b.radian,c='orange')\n",
      "a2 = fig.add_subplot(122)\n",
      "a2.hist(pulsarCat['P'],bins=np.logspace(-4.0, 2.0, 100))\n",
      "a2.set_title(\"Pulsar period distribution\")\n",
      "a2.set_xlabel(\"seconds\")\n",
      "a2.set_ylabel(\"N\")\n",
      "a2.set_xscale(\"log\")\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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RtAzHcXWCEHqIohjOlmBZtrWHBwAQBAEFM57GojrBhm1nB2LC7IX4VtYyAe6+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OvHVjrtGSDz4G6mfJvL6Ov19//dHMuUQXKWiLea++/3qjhw1s57Y23OdPeNmdC3OWz+Dfaehv/c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\nMvPz81N3d7c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       "text": [
        "<matplotlib.figure.Figure at 0x1f2620b8>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "From the period distribution we see that for the majority of pulsars their pulsation rate is visable in realtime. There is only the small fraction of millisecond pulsars who are rotating too fast. We will need a way to differentiate them in the visualization."
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Output USES style data file"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will write the data table as an headerless, ASCII, space delimited  nine element table which can be read by the UniView Shader Effects System."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pulsarCat.filled(-9999).write(\"pulsars.raw\",format='ascii.no_header')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 48
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Graphics Shaders"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The bulk of the work is done in the geometry shader, because that has access to the Pulsar Period (which is encoded as the first coordinate of the third vertex of the triangle, or the seventh column of the .raw file) and Luminosity (which is encoded as the first coordinate of the second vertex of the triangle, or the forth column of the .raw file). \n",
      "\n",
      "The geometry shader divides the sample into pulsars with periods less than a tenth of a second which are given a cyan forward facing square and pulsars with periods greater than a tenth of a second which are given a yellow forward facing square whose size sinusoidially varies according to the pulsar's period.\n",
      "\n",
      "The vertex shader is just a pass through.\n",
      "\n",
      "The fragment shader draws different markers on the square depending on a passed variable."
     ]
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "<a href=https://github.com/marksubbarao/Uniview/blob/master/PulsingPulsars/pulsarShaders/pulsar_geometry.glsl>pulsar_geometry.glsl</a>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "<a href=https://github.com/marksubbarao/Uniview/blob/master/PulsingPulsars/pulsarShaders/marker_fragment.glsl>marker_fragment.glsl</a>"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}