{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "
\n", "**This is a fixed-text formatted version of a Jupyter notebook.**\n", "\n", " You can contribute with your own notebooks in this\n", " [GitHub repository](https://github.com/gammapy/gammapy-extra/tree/master/notebooks).\n", "\n", "**Source files:**\n", "[astropy_introduction.ipynb](../_static/notebooks/astropy_introduction.ipynb) |\n", "[astropy_introduction.py](../_static/notebooks/astropy_introduction.py)\n", "
\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Astropy introduction for Gammapy users\n", "\n", "\n", "## Introduction\n", "\n", "To become efficient at using Gammapy, you have to learn to use some parts of Astropy, especially FITS I/O and how to work with Table, Quantity, SkyCoord, Angle and Time objects.\n", "\n", "Gammapy is built on Astropy, meaning that data in Gammapy is often stored in Astropy objects, and the methods on those objects are part of the public Gammapy API.\n", "\n", "This tutorial is a quick introduction to the parts of Astropy you should know become familiar with to use Gammapy (or also when not using Gammapy, just doing astronomy from Python scripts). The largest part is devoted to tables, which are a the most important building block for Gammapy (event lists, flux points, light curves, ... many other thing are store in Table objects).\n", "\n", "We will:\n", "\n", "- open and write fits files with [io.fits](http://docs.astropy.org/en/stable/io/fits/index.html)\n", "- manipulate [coordinates](http://docs.astropy.org/en/stable/coordinates/): [SkyCoord](http://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html) and [Angle](http://docs.astropy.org/en/stable/coordinates/angles.html) classes\n", "- use [units](http://docs.astropy.org/en/stable/units/index.html) and [Quantities](http://docs.astropy.org/en/stable/api/astropy.units.Quantity.html). See also this [tutorial](http://www.astropy.org/astropy-tutorials/Quantities.html)\n", "- manipulate [Times and Dates](http://docs.astropy.org/en/stable/time/index.html)\n", "- use [tables](http://docs.astropy.org/en/stable/table/index.html) with the [Table](http://docs.astropy.org/en/stable/api/astropy.table.Table.html) class with the Fermi catalog\n", "- define regions in the sky with the [region](http://astropy-regions.readthedocs.io/en/latest/getting_started.html) package\n", "\n", "## Setup" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# to make plots appear in the notebook\n", "%matplotlib inline \n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "numpy: 1.12.1\n", "astropy: 2.0.dev17848\n" ] } ], "source": [ "# If something below doesn't work, here's how you\n", "# can check what version of Numpy and Astropy you have\n", "# All examples should work with Astropy 1.3,\n", "# most even with Astropy 1.0\n", "import numpy as np\n", "import astropy\n", "print('numpy:', np.__version__)\n", "print('astropy:', astropy.__version__)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Units, Quantities and constants\n", "import astropy.units as u\n", "from astropy.units import Quantity\n", "import astropy.constants as cst\n", "\n", "from astropy.io import fits\n", "from astropy.table import Table\n", "from astropy.coordinates import SkyCoord, Angle\n", "from astropy.time import Time" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Units and constants\n", "\n", "### Basic usage" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1.3058974431347377e-11 erg / (cm2 s)\n", "1.3058974431347378e-14 W / m2\n" ] } ], "source": [ "# One can create a Quantity like this\n", "L = Quantity(1e35, unit='erg/s')\n", "# or like this\n", "d = 8 * u.kpc\n", "\n", "# then one can produce new Quantities\n", "flux = L / (4 * np.pi * d ** 2)\n", "\n", "# And convert its value to any (homogeneous) unit\n", "print(flux.to('erg cm-2 s-1'))\n", "print(flux.to('W/m2'))\n", "# print(flux.to('Ci')) would raise a UnitConversionError\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "More generally a Quantity is a numpy array with a unit." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0.01 0.02154435 0.04641589 0.1 0.21544347\n", " 0.46415888 1. 2.15443469 4.64158883 10. ] TeV\n" ] } ], "source": [ "E = np.logspace(1, 4, 10) * u.GeV\n", "print(E.to('TeV'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we compute the interaction time of protons." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "$35.233361 \\; \\mathrm{Myr}$" ], "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_eff = 30 * u.mbarn\n", "density = 1 * u.cm ** -3 \n", "\n", "interaction_time = (density * x_eff * cst.c) ** -1\n", "\n", "interaction_time.to('Myr')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Use Quantities in functions\n", "\n", "We compute here the energy loss rate of an electron of kinetic energy E in magnetic field B. See formula (5B10) in this [lecture](http://www.cv.nrao.edu/course/astr534/SynchrotronPower.html)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4.0519328131469305e-13 erg / s\n" ] }, { "data": { "text/plain": [ "[]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def electron_energy_loss_rate(B, E):\n", " \"\"\" energy loss rate of an electron of kinetic energy E in magnetic field B\n", " \"\"\"\n", " U_B = B ** 2 / (2 * cst.mu0)\n", " gamma = E / (cst.m_e * cst.c ** 2) + 1 # note that this works only because E/(cst.m_e*cst.c**2) is dimensionless\n", " beta = np.sqrt(1 - 1 / gamma ** 2)\n", " return 4. / 3. * cst.sigma_T * cst.c * gamma ** 2 * beta ** 2 * U_B\n", "\n", "print(electron_energy_loss_rate(1e-5 * u.G, 1 * u.TeV).to('erg/s'))\n", "\n", "# Now plot it\n", "E_elec = np.logspace(-1., 6, 100) * u.MeV\n", "B = 1 * u.G\n", "plt.loglog(E_elec,(E_elec / electron_energy_loss_rate(B, E_elec)).to('yr'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A frequent issue is homogeneity. One can use decorators to ensure it." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Incorrect unit: Argument 'E' to function 'electron_energy_loss_rate' must be in units convertible to 'J'.\n" ] } ], "source": [ "# This ensures that B and E are homogeneous to magnetic field strength and energy\n", "# If not will raise a UnitError exception\n", "@u.quantity_input(B=u.T,E=u.J) \n", "def electron_energy_loss_rate(B, E):\n", " \"\"\" energy loss rate of an electron of kinetic energy E in magnetic field B\n", " \"\"\"\n", " U_B = B ** 2 / (2 * cst.mu0)\n", " gamma = E / (cst.m_e * cst.c ** 2) + 1 # note that this works only because E/(cst.m_e*cst.c**2) is dimensionless\n", " beta = np.sqrt(1 - 1 / gamma ** 2)\n", " return 4. / 3. * cst.sigma_T * cst.c * gamma ** 2 * beta ** 2 * U_B\n", "\n", "# Now try it\n", "try:\n", " print(electron_energy_loss_rate(1e-5 * u.G, 1 * u.Hz).to('erg/s'))\n", "except u.UnitsError as message:\n", " print('Incorrect unit: '+ str(message))\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Coordinates\n", "\n", "Note that SkyCoord are arrays of coordinates. We will see that in more detail in the next section." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "10d37m30s 22d00m52.2s\n", "Distance to Crab: 63d12m28.2297s\n", "Distance to Crab: 63.2078415848386\n" ] } ], "source": [ "# Different ways to create a SkyCoord\n", "c1 = SkyCoord(10.625, 41.2, frame='icrs', unit='deg')\n", "c1 = SkyCoord('00h42m30s', '+41d12m00s', frame='icrs')\n", "\n", "c2 = SkyCoord(83.633083, 22.0145, unit='deg')\n", "# If you have internet access, you could also use this to define the `source_pos`:\n", "# c2 = SkyCoord.from_name(\"Crab\") # Get the name from CDS\n", "\n", "print(c1.ra,c2.dec)\n", "\n", "print('Distance to Crab: ', c1.separation(c2)) # separation returns an Angle object\n", "print('Distance to Crab: ', c1.separation(c2).degree)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Coordinate transformations\n", "\n", "How to change between coordinate frames. The Crab in Galactic coordinates." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "184d33m26.8478s -5d47m03.6851s\n" ] } ], "source": [ "c2b = c2.galactic\n", "print(c2b)\n", "print(c2b.l, c2b.b)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Time \n", "\n", "Is the Crab visible now?" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2017-04-11 06:58:46.032083\n", "57854.290810556515\n" ] } ], "source": [ "now = Time.now()\n", "print(now)\n", "print(now.mjd)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "# define the location for the AltAz system\n", "from astropy.coordinates import EarthLocation, AltAz\n", "paris = EarthLocation(lat=48.8567 * u.deg, lon=2.3508 * u.deg )\n", " \n", "# calculate the horizontal coordinates \n", "crab_altaz = c2.transform_to(AltAz(obstime=now, location=paris))\n", "\n", "print(crab_altaz)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Table: Manipulating the 3FGL catalog\n", "\n", "Here we are going to do some selections with the 3FGL catalog. To do so we use the Table class from astropy.\n", "\n", "### Accessing the table\n", "First, we need to open the catalog in a Table. " ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING: hdu= was not specified but multiple tables are present, reading in first available table (hdu=1) [astropy.io.fits.connect]\n", "WARNING: UnitsWarning: 'photon/cm**2/MeV/s' contains multiple slashes, which is discouraged by the FITS standard [astropy.units.format.generic]\n", "WARNING: UnitsWarning: 'photon/cm**2/s' contains multiple slashes, which is discouraged by the FITS standard [astropy.units.format.generic]\n", "WARNING: UnitsWarning: The unit 'erg' has been deprecated in the FITS standard. Suggested: cm2 g s-2. [astropy.units.format.utils]\n", "WARNING: UnitsWarning: 'erg/cm**2/s' contains multiple slashes, which is discouraged by the FITS standard [astropy.units.format.generic]\n" ] } ], "source": [ "# Open Fermi 3FGL from the repo\n", "table = Table.read(\"../datasets/catalogs/fermi/gll_psc_v16.fit.gz\")\n", "# Alternatively, one can grab it from the server.\n", "#table = Table.read(\"http://fermi.gsfc.nasa.gov/ssc/data/access/lat/4yr_catalog/gll_psc_v16.fit\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['PRIMARY', 'LAT_Point_Source_Catalog', 'ROIs', 'Hist_Start', 'GTI', 'ExtendedSources']\n" ] } ], "source": [ "# Note that a single FITS file might contain different tables in different HDUs\n", "filename = \"../datasets/catalogs/fermi/gll_psc_v16.fit.gz\" \n", "# You can load a `fits.HDUList` and check the extension names\n", "print([_.name for _ in fits.open(filename)])\n", "# Then you can load by name or integer index via the `hdu` option\n", "extended_source_table = Table.read(filename, hdu='ExtendedSources')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### General informations on the Table\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " name dtype shape unit n_bad\n", "-------------------- ------- ------- ---------------- -----\n", " Source_Name str18 0\n", " RAJ2000 float32 deg 0\n", " DEJ2000 float32 deg 0\n", " GLON float32 deg 0\n", " GLAT float32 deg 0\n", " Conf_68_SemiMajor float32 deg 28\n", " Conf_68_SemiMinor float32 deg 28\n", " Conf_68_PosAng float32 deg 28\n", " Conf_95_SemiMajor float32 deg 28\n", " Conf_95_SemiMinor float32 deg 28\n", " Conf_95_PosAng float32 deg 28\n", " ROI_num int16 0\n", " Signif_Avg float32 5\n", " Pivot_Energy float32 MeV 0\n", " Flux_Density float32 ph / (cm2 MeV s) 0\n", " Unc_Flux_Density float32 ph / (cm2 MeV s) 5\n", " Flux1000 float32 ph / (cm2 s) 0\n", " Unc_Flux1000 float32 ph / (cm2 s) 5\n", " Energy_Flux100 float32 erg / (cm2 s) 0\n", " Unc_Energy_Flux100 float32 erg / (cm2 s) 5\n", " Signif_Curve float32 0\n", " SpectrumType str16 0\n", " Spectral_Index float32 0\n", " Unc_Spectral_Index float32 9\n", " beta float32 2639\n", " Unc_beta float32 2680\n", " Cutoff float32 MeV 2918\n", " Unc_Cutoff float32 MeV 2918\n", " Exp_Index float32 2918\n", " Unc_Exp_Index float32 3028\n", " PowerLaw_Index float32 0\n", " Flux30_100 float32 ph / (cm2 s) 3034\n", " Unc_Flux30_100 float32 ph / (cm2 s) 3034\n", " nuFnu30_100 float32 erg / (cm2 s) 3034\n", " Sqrt_TS30_100 float32 3034\n", " Flux100_300 float32 ph / (cm2 s) 0\n", " Unc_Flux100_300 float32 (2,) ph / (cm2 s) 836\n", " nuFnu100_300 float32 erg / (cm2 s) 0\n", " Sqrt_TS100_300 float32 5\n", " Flux300_1000 float32 ph / (cm2 s) 0\n", " Unc_Flux300_1000 float32 (2,) ph / (cm2 s) 327\n", " nuFnu300_1000 float32 erg / (cm2 s) 0\n", " Sqrt_TS300_1000 float32 5\n", " Flux1000_3000 float32 ph / (cm2 s) 0\n", " Unc_Flux1000_3000 float32 (2,) ph / (cm2 s) 111\n", " nuFnu1000_3000 float32 erg / (cm2 s) 0\n", " Sqrt_TS1000_3000 float32 0\n", " Flux3000_10000 float32 ph / (cm2 s) 0\n", " Unc_Flux3000_10000 float32 (2,) ph / (cm2 s) 137\n", " nuFnu3000_10000 float32 erg / (cm2 s) 0\n", " Sqrt_TS3000_10000 float32 3\n", " Flux10000_100000 float32 ph / (cm2 s) 0\n", "Unc_Flux10000_100000 float32 (2,) ph / (cm2 s) 670\n", " nuFnu10000_100000 float32 erg / (cm2 s) 0\n", " Sqrt_TS10000_100000 float32 2\n", " Variability_Index float32 0\n", " Signif_Peak float32 2387\n", " Flux_Peak float32 ph / (cm2 s) 2387\n", " Unc_Flux_Peak float32 ph / (cm2 s) 2387\n", " Time_Peak float64 s 2387\n", " Peak_Interval float32 s 2387\n", " Flux_History float32 (48,) ph / (cm2 s) 0\n", " Unc_Flux_History float32 (48, 2) ph / (cm2 s) 64623\n", "Extended_Source_Name str18 0\n", " 0FGL_Name str17 0\n", " 1FGL_Name str18 0\n", " 2FGL_Name str18 0\n", " 1FHL_Name str18 0\n", " ASSOC_GAM1 str15 0\n", " ASSOC_GAM2 str14 0\n", " ASSOC_GAM3 str15 0\n", " TEVCAT_FLAG str1 0\n", " ASSOC_TEV str21 0\n", " CLASS1 str5 0\n", " ASSOC1 str26 0\n", " ASSOC2 str26 0\n", " Flags int16 0\n" ] } ], "source": [ "table.info()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "
\n", " name mean std min max n_bad\n", "-------------------- ------------- ------------- ----------- ----------- -----\n", " Source_Name -- -- -- -- 0\n", " RAJ2000 185.638 100.585 0.0377 359.881 0\n", " DEJ2000 -2.23514 41.5371 -87.6185 88.7739 0\n", " GLON 186.273 107.572 0.126161 359.969 0\n", " GLAT 1.22728 36.4998 -87.9516 86.3679 0\n", " Conf_68_SemiMajor -inf nan -inf 0.658726 28\n", " Conf_68_SemiMinor -inf nan -inf 0.320945 28\n", " Conf_68_PosAng -0.219671 51.9263 -89.94 89.92 28\n", " Conf_95_SemiMajor -inf nan -inf 1.0681 28\n", " Conf_95_SemiMinor -inf nan -inf 0.5204 28\n", " Conf_95_PosAng -0.219671 51.9263 -89.94 89.92 28\n", " ROI_num 424.777191826 238.846231996 1 840 0\n", " Signif_Avg -inf nan -inf 1048.96 5\n", " Pivot_Energy 2104.46 2578.2 100.798 37202.0 0\n", " Flux_Density 1.29389e-11 2.17231e-10 4.21515e-16 1.14476e-08 0\n", " Unc_Flux_Density -inf nan -inf 6.86476e-10 5\n", " Flux1000 2.7507e-09 2.76475e-08 4.90582e-12 1.29768e-06 0\n", " Unc_Flux1000 -inf nan -inf 2.89396e-09 5\n", " Energy_Flux100 2.56011e-11 1.88859e-10 1.65227e-12 8.93008e-09 0\n", " Unc_Energy_Flux100 -inf nan -inf 2.52953e-11 5\n", " Signif_Curve 2.43161 3.87731 0.0 84.973 0\n", " SpectrumType -- -- -- -- 0\n", " Spectral_Index 2.21451 0.360539 0.5 5.71589 0\n", " Unc_Spectral_Index -inf nan -inf 1.06113 9\n", " beta -inf nan -inf 1.0 2639\n", " Unc_beta -inf nan -inf 0.337608 2680\n", " Cutoff -inf nan -inf 13326.4 2918\n", " Unc_Cutoff -inf nan -inf 3750.56 2918\n", " Exp_Index -inf nan -inf 1.0 2918\n", " Unc_Exp_Index -inf nan -inf 0.0442999 3028\n", " PowerLaw_Index 2.24982 0.306354 1.09753 5.71589 0\n", " Flux30_100 nan nan nan nan 3034\n", " Unc_Flux30_100 nan nan nan nan 3034\n", " nuFnu30_100 nan nan nan nan 3034\n", " Sqrt_TS30_100 nan nan nan nan 3034\n", " Flux100_300 2.37795e-08 1.20342e-07 1.00222e-14 5.37625e-06 0\n", " Unc_Flux100_300 -inf nan -inf 9.56701e-08 836\n", " nuFnu100_300 5.71922e-12 3.02685e-11 2.49123e-18 1.37177e-09 0\n", " Sqrt_TS100_300 3.81654 8.91583 0.0 215.416 5\n", " Flux300_1000 8.61936e-09 6.73293e-08 3.97788e-15 3.21672e-06 0\n", " Unc_Flux300_1000 -inf nan -inf 1.89716e-08 327\n", " nuFnu300_1000 5.90484e-12 4.79845e-11 2.91179e-18 2.29243e-09 0\n", " Sqrt_TS300_1000 7.4718 19.8981 0.0 568.663 5\n", " Flux1000_3000 2.19502e-09 2.27795e-08 1.50877e-15 1.07019e-06 0\n", " Unc_Flux1000_3000 -inf nan -inf 6.09948e-09 111\n", " nuFnu1000_3000 5.14613e-12 5.38784e-11 3.76523e-18 2.52534e-09 0\n", " Sqrt_TS1000_3000 8.60778 22.2479 0.0 711.632 0\n", " Flux3000_10000 4.83629e-10 4.64785e-09 9.33897e-16 2.16177e-07 0\n", " Unc_Flux3000_10000 -inf nan -inf 2.98606e-09 137\n", " nuFnu3000_10000 3.07335e-12 2.83225e-11 5.6769e-18 1.32102e-09 0\n", " Sqrt_TS3000_10000 6.98671 13.9194 0.0 465.899 3\n", " Flux10000_100000 7.39921e-11 3.22538e-10 1.03878e-17 1.13815e-08 0\n", "Unc_Flux10000_100000 -inf nan -inf 7.88092e-10 670\n", " nuFnu10000_100000 1.16414e-12 4.63575e-12 9.38528e-20 1.16018e-10 0\n", " Sqrt_TS10000_100000 4.01938 5.47004 0.0 111.192 2\n", " Variability_Index 154.126 1230.71 0.0 60733.9 0\n", " Signif_Peak -inf nan -inf 255.071 2387\n", " Flux_Peak -inf nan -inf 2.12374e-05 2387\n", " Unc_Flux_Peak -inf nan -inf 1.47859e-07 2387\n", " Time_Peak -inf nan -inf 364203776.0 2387\n", " Peak_Interval -inf nan -inf 2.63e+06 2387\n", " Flux_History 3.54401e-08 2.26052e-07 0.0 2.12374e-05 0\n", " Unc_Flux_History -inf nan -inf 2.30386e-07 64623\n", "Extended_Source_Name -- -- -- -- 0\n", " 0FGL_Name -- -- -- -- 0\n", " 1FGL_Name -- -- -- -- 0\n", " 2FGL_Name -- -- -- -- 0\n", " 1FHL_Name -- -- -- -- 0\n", " ASSOC_GAM1 -- -- -- -- 0\n", " ASSOC_GAM2 -- -- -- -- 0\n", " ASSOC_GAM3 -- -- -- -- 0\n", " TEVCAT_FLAG -- -- -- -- 0\n", " ASSOC_TEV -- -- -- -- 0\n", " CLASS1 -- -- -- -- 0\n", " ASSOC1 -- -- -- -- 0\n", " ASSOC2 -- -- -- -- 0\n", " Flags 45.7735662492 265.711605004 0 2565 0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n", "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:1304: RuntimeWarning: invalid value encountered in subtract\n", " np.subtract(arr, avg, out=arr, casting='unsafe')\n" ] } ], "source": [ "# Statistics on each column\n", "table.info('stats')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Source_Name',\n", " 'RAJ2000',\n", " 'DEJ2000',\n", " 'GLON',\n", " 'GLAT',\n", " 'Conf_68_SemiMajor',\n", " 'Conf_68_SemiMinor',\n", " 'Conf_68_PosAng',\n", " 'Conf_95_SemiMajor',\n", " 'Conf_95_SemiMinor',\n", " 'Conf_95_PosAng',\n", " 'ROI_num',\n", " 'Signif_Avg',\n", " 'Pivot_Energy',\n", " 'Flux_Density',\n", " 'Unc_Flux_Density',\n", " 'Flux1000',\n", " 'Unc_Flux1000',\n", " 'Energy_Flux100',\n", " 'Unc_Energy_Flux100',\n", " 'Signif_Curve',\n", " 'SpectrumType',\n", " 'Spectral_Index',\n", " 'Unc_Spectral_Index',\n", " 'beta',\n", " 'Unc_beta',\n", " 'Cutoff',\n", " 'Unc_Cutoff',\n", " 'Exp_Index',\n", " 'Unc_Exp_Index',\n", " 'PowerLaw_Index',\n", " 'Flux30_100',\n", " 'Unc_Flux30_100',\n", " 'nuFnu30_100',\n", " 'Sqrt_TS30_100',\n", " 'Flux100_300',\n", " 'Unc_Flux100_300',\n", " 'nuFnu100_300',\n", " 'Sqrt_TS100_300',\n", " 'Flux300_1000',\n", " 'Unc_Flux300_1000',\n", " 'nuFnu300_1000',\n", " 'Sqrt_TS300_1000',\n", " 'Flux1000_3000',\n", " 'Unc_Flux1000_3000',\n", " 'nuFnu1000_3000',\n", " 'Sqrt_TS1000_3000',\n", " 'Flux3000_10000',\n", " 'Unc_Flux3000_10000',\n", " 'nuFnu3000_10000',\n", " 'Sqrt_TS3000_10000',\n", " 'Flux10000_100000',\n", " 'Unc_Flux10000_100000',\n", " 'nuFnu10000_100000',\n", " 'Sqrt_TS10000_100000',\n", " 'Variability_Index',\n", " 'Signif_Peak',\n", " 'Flux_Peak',\n", " 'Unc_Flux_Peak',\n", " 'Time_Peak',\n", " 'Peak_Interval',\n", " 'Flux_History',\n", " 'Unc_Flux_History',\n", " 'Extended_Source_Name',\n", " '0FGL_Name',\n", " '1FGL_Name',\n", " '2FGL_Name',\n", " '1FHL_Name',\n", " 'ASSOC_GAM1',\n", " 'ASSOC_GAM2',\n", " 'ASSOC_GAM3',\n", " 'TEVCAT_FLAG',\n", " 'ASSOC_TEV',\n", " 'CLASS1',\n", " 'ASSOC1',\n", " 'ASSOC2',\n", " 'Flags']" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "### list of column names\n", "table.colnames" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# HTML display\n", "# table.show_in_browser(jsviewer=True)\n", "# table.show_in_notebook(jsviewer=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Accessing the table" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "25" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# The header keywords are stored as a dict\n", "# table.meta\n", "table.meta['TSMIN']" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<Row index=0>\n", "
\n", "\n", "\n", "\n", "\n", "
Source_NameRAJ2000DEJ2000GLONGLATConf_68_SemiMajorConf_68_SemiMinorConf_68_PosAngConf_95_SemiMajorConf_95_SemiMinorConf_95_PosAngROI_numSignif_AvgPivot_EnergyFlux_DensityUnc_Flux_DensityFlux1000Unc_Flux1000Energy_Flux100Unc_Energy_Flux100Signif_CurveSpectrumTypeSpectral_IndexUnc_Spectral_IndexbetaUnc_betaCutoffUnc_CutoffExp_IndexUnc_Exp_IndexPowerLaw_IndexFlux30_100Unc_Flux30_100nuFnu30_100Sqrt_TS30_100Flux100_300Unc_Flux100_300 [2]nuFnu100_300Sqrt_TS100_300Flux300_1000Unc_Flux300_1000 [2]nuFnu300_1000Sqrt_TS300_1000Flux1000_3000Unc_Flux1000_3000 [2]nuFnu1000_3000Sqrt_TS1000_3000Flux3000_10000Unc_Flux3000_10000 [2]nuFnu3000_10000Sqrt_TS3000_10000Flux10000_100000Unc_Flux10000_100000 [2]nuFnu10000_100000Sqrt_TS10000_100000Variability_IndexSignif_PeakFlux_PeakUnc_Flux_PeakTime_PeakPeak_IntervalFlux_History [48]Unc_Flux_History [48,2]Extended_Source_Name0FGL_Name1FGL_Name2FGL_Name1FHL_NameASSOC_GAM1ASSOC_GAM2ASSOC_GAM3TEVCAT_FLAGASSOC_TEVCLASS1ASSOC1ASSOC2Flags
degdegdegdegdegdegdegdegdegdegMeVph / (cm2 MeV s)ph / (cm2 MeV s)ph / (cm2 s)ph / (cm2 s)erg / (cm2 s)erg / (cm2 s)MeVMeVph / (cm2 s)ph / (cm2 s)erg / (cm2 s)ph / (cm2 s)ph / (cm2 s)erg / (cm2 s)ph / (cm2 s)ph / (cm2 s)erg / (cm2 s)ph / (cm2 s)ph / (cm2 s)erg / (cm2 s)ph / (cm2 s)ph / (cm2 s)erg / (cm2 s)ph / (cm2 s)ph / (cm2 s)erg / (cm2 s)ph / (cm2 s)ph / (cm2 s)ssph / (cm2 s)ph / (cm2 s)
str18float32float32float32float32float32float32float32float32float32float32int16float32float32float32float32float32float32float32float32float32str16float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float32float64float32float32float32str18str17str18str18str18str15str14str15str1str21str5str26str26int16
3FGL J0000.1+65450.037765.7517117.6943.402960.06284450.048104741.030.10190.07841.031856.813131159.081.00534e-121.49106e-131.01596e-091.57592e-101.35695e-112.07317e-123.39662PowerLaw2.410960.0823208-inf-inf-inf-inf-inf-inf2.41096nannannannan1.80832e-08-8.39548e-09 .. 8.23604e-094.17529e-122.168756.94073e-09-1.35281e-09 .. 1.36692e-094.54365e-125.269711.23665e-09-2.25128e-10 .. 2.34347e-102.85534e-126.022245.78052e-11-4.04457e-11 .. 4.8534e-113.78413e-131.509192.83963e-11-1.48428e-11 .. 1.91547e-114.3172e-132.4211740.7535-inf-inf-inf-inf-inf6.36157e-08 .. 0.0-2.7777e-08 .. 2.09131e-082FGL J2359.6+6543cN4
" ], "text/plain": [ "\n", " Source_Name RAJ2000 DEJ2000 GLON GLAT Conf_68_SemiMajor Conf_68_SemiMinor Conf_68_PosAng Conf_95_SemiMajor Conf_95_SemiMinor Conf_95_PosAng ROI_num Signif_Avg Pivot_Energy Flux_Density Unc_Flux_Density Flux1000 Unc_Flux1000 Energy_Flux100 Unc_Energy_Flux100 Signif_Curve SpectrumType Spectral_Index Unc_Spectral_Index beta Unc_beta Cutoff Unc_Cutoff Exp_Index Unc_Exp_Index PowerLaw_Index Flux30_100 Unc_Flux30_100 nuFnu30_100 Sqrt_TS30_100 Flux100_300 Unc_Flux100_300 [2] nuFnu100_300 Sqrt_TS100_300 Flux300_1000 Unc_Flux300_1000 [2] nuFnu300_1000 Sqrt_TS300_1000 Flux1000_3000 Unc_Flux1000_3000 [2] nuFnu1000_3000 Sqrt_TS1000_3000 Flux3000_10000 Unc_Flux3000_10000 [2] nuFnu3000_10000 Sqrt_TS3000_10000 Flux10000_100000 Unc_Flux10000_100000 [2] nuFnu10000_100000 Sqrt_TS10000_100000 Variability_Index Signif_Peak Flux_Peak Unc_Flux_Peak Time_Peak Peak_Interval Flux_History [48] Unc_Flux_History [48,2] Extended_Source_Name 0FGL_Name 1FGL_Name 2FGL_Name 1FHL_Name ASSOC_GAM1 ASSOC_GAM2 ASSOC_GAM3 TEVCAT_FLAG ASSOC_TEV CLASS1 ASSOC1 ASSOC2 Flags\n", " deg deg deg deg deg deg deg deg deg deg MeV ph / (cm2 MeV s) ph / (cm2 MeV s) ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) erg / (cm2 s) MeV MeV ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) ph / (cm2 s) ph / (cm2 s) erg / (cm2 s) ph / (cm2 s) ph / (cm2 s) s s ph / (cm2 s) ph / (cm2 s) \n", " str18 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 int16 float32 float32 float32 float32 float32 float32 float32 float32 float32 str16 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float32 float64 float32 float32 float32 str18 str17 str18 str18 str18 str15 str14 str15 str1 str21 str5 str26 str26 int16\n", "------------------ ------- ------- ------- ------- ----------------- ----------------- -------------- ----------------- ----------------- -------------- ------- ---------- ------------ ---------------- ---------------- ------------ ------------ -------------- ------------------ ------------ ---------------- -------------- ------------------ ------- -------- ------- ---------- --------- ------------- -------------- ------------ -------------- ------------- ------------- ------------ --------------------------- ------------- -------------- ------------ --------------------------- ------------- --------------- ------------- --------------------------- -------------- ---------------- -------------- -------------------------- --------------- ----------------- ---------------- --------------------------- ----------------- ------------------- ----------------- ----------- ------------ ------------- --------- ------------- ------------------ -------------------------- -------------------- ----------------- ------------------ ------------------ ------------------ --------------- -------------- --------------- ----------- --------------------- ------ -------------------------- -------------------------- -----\n", "3FGL J0000.1+6545 0.0377 65.7517 117.694 3.40296 0.0628445 0.0481047 41.03 0.1019 0.078 41.03 185 6.81313 1159.08 1.00534e-12 1.49106e-13 1.01596e-09 1.57592e-10 1.35695e-11 2.07317e-12 3.39662 PowerLaw 2.41096 0.0823208 -inf -inf -inf -inf -inf -inf 2.41096 nan nan nan nan 1.80832e-08 -8.39548e-09 .. 8.23604e-09 4.17529e-12 2.16875 6.94073e-09 -1.35281e-09 .. 1.36692e-09 4.54365e-12 5.26971 1.23665e-09 -2.25128e-10 .. 2.34347e-10 2.85534e-12 6.02224 5.78052e-11 -4.04457e-11 .. 4.8534e-11 3.78413e-13 1.50919 2.83963e-11 -1.48428e-11 .. 1.91547e-11 4.3172e-13 2.42117 40.7535 -inf -inf -inf -inf -inf 6.36157e-08 .. 0.0 -2.7777e-08 .. 2.09131e-08 2FGL J2359.6+6543c N 4" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# First row\n", "table[0]" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<Column name='Spectral_Index' dtype='float32' length=5>\n", "\n", "\n", "\n", "\n", "\n", "\n", "
2.41096
1.86673
2.73279
2.14935
2.30511
" ], "text/plain": [ "\n", "2.41096\n", "1.86673\n", "2.73279\n", "2.14935\n", "2.30511" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Spectral index of the 5 first entries\n", "table[:5]['Spectral_Index']" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hardest source: 3FGL J2051.3-0828 PSR 0.5\n", "Softest source: 3FGL J0534.5+2201s PWN 5.71589\n" ] } ], "source": [ "# Which source has the lowest spectral index?\n", "min_index_row = table[np.argmin(table['Spectral_Index'])]\n", "print('Hardest source: ',min_index_row['Source_Name'], \n", " min_index_row['CLASS1'],min_index_row['Spectral_Index'])\n", "\n", "# Which source has the largest spectral index?\n", "max_index_row = table[np.argmax(table['Spectral_Index'])]\n", "print('Softest source: ',max_index_row['Source_Name'], \n", " max_index_row['CLASS1'],max_index_row['Spectral_Index'])\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Quantities and SkyCoords from a Table" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 2.85534313e-12 3.53278225e-13 6.76803394e-13 ..., 7.31505785e-13\n", " 1.04839715e-12 4.78210245e-13] erg / (cm2 s)\n", "\n" ] } ], "source": [ "fluxes = table['nuFnu1000_3000'].quantity\n", "print(fluxes)\n", "coord = SkyCoord(table['GLON'],table['GLAT'],frame='galactic')\n", "print(coord.fk5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Selections in a Table\n", "\n", "Here we select Sources according to their class and do some whole sky chart" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Get coordinates of FSRQs\n", "fsrq = np.where( np.logical_or(table['CLASS1']=='fsrq ',table['CLASS1']=='FSQR '))" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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+6Pd4PBa32/2C1+v9AxENp9hdBiPtYEKGwYgTHMdtyc3NvT8nJ+eQSqXSPvDA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\n3PPkyZa0QCbzQqEQxsfHYbfb0dzcDI1Gs+LvXnncVFR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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# This is here for plotting purpose...\n", "#glon = glon.wrap_at(180*u.degree)\n", "\n", "# Open figure\n", "fig = plt.figure(figsize=(14,8))\n", "ax = fig.add_subplot(111, projection=\"aitoff\")\n", "ax.scatter(coord[fsrq].l.wrap_at(180*u.degree).radian, \n", " coord[fsrq].b.radian, \n", " color = 'k', label='FSRQ')\n", "ax.grid(True)\n", "ax.legend()\n", "# ax.invert_xaxis() -> This does not work for projections... " ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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kive7TV3PUEoPUEov+5R5BuNSgDkyDMYlyriqWJVKpbo2OTn51uzs7Nxdu3bx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xLIXOFA9YLypBFvoWtkohHg4P2xLhLjjXKkl7tw9OhRLF++PGz0P9ya6x4agtlsxsKr1ehq7QOl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SG+ihIdBOZ2DzepF9041YnZuP1/e2od/NwuEHnP5AkFg64khaW1tlxUgIYTSJmBSIkUiqtBSD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\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etu/R5XKhs7MTdXV1Yd+bqka3PB4PMpkMMpks5Dlut9u3V3kNneHhYVgsFjgcDlgsFmRk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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now do it for a series of classes\n", "fig = plt.figure(figsize=(14,10))\n", "ax = fig.add_subplot(111, projection=\"aitoff\")\n", "\n", "source_classes = ['','psr','spp', 'fsrq', 'bll', 'bin']\n", "\n", "for source_class in source_classes:\n", " # We select elements with correct class in upper or lower characters\n", " index = np.array([_.strip().lower() == source_class for _ in table['CLASS1']])\n", " \n", " label = source_class if source_class else 'unid'\n", " \n", " ax.scatter(\n", " coord[index].l.wrap_at(180*u.degree).radian, \n", " coord[index].b.radian,\n", " label=label,\n", " )\n", "\n", "ax.grid(True)\n", "ax.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating tables\n", "\n", "A `Table` is basically a dict mapping column names to column values, where a column value is a Numpy array (or Quantity object, which is a Numpy array sub-class). This implies that adding columns to a table after creation is nice and easy, but adding a row is hard and slow, basically all data has to be copied and all objects that make up a Table have to be re-created.\n", "\n", "Here's one way to create a `Table` from scratch: put the data into a list of dicts, and then call the `Table` constructor with the `rows` option." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<Table length=2>\n", "\n", "\n", "\n", "\n", "\n", "
ab
int64str4
42spam
43ham
" ], "text/plain": [ "\n", " a b \n", "int64 str4\n", "----- ----\n", " 42 spam\n", " 43 ham" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rows = [\n", " dict(a=42, b='spam'),\n", " dict(a=43, b='ham'),\n", "]\n", "my_table = Table(rows=rows)\n", "my_table" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Writing tables\n", "\n", "Writing tables to files is easy, you can just give the filename and format you want.\n", "If you run a script repeatedly you might want to add `overwrite=True`." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Examples how to write a table in different formats\n", "# Uncomment if you really want to do it\n", "\n", "# my_table.write('/tmp/table.fits', format='fits')\n", "# my_table.write('/tmp/table.fits.gz', format='fits')\n", "# my_table.write('/tmp/table.ecsv', format='ascii.ecsv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "FITS (and some other formats, e.g. HDF5) support writing multiple tables to a single file.\n", "The `table.write` API doesn't support that directly yet.\n", "Here's how you can currently write multiple tables to a FITS file: you have to convert the `astropy.table.Table` objects to `astropy.io.fits.BinTable` objects, and then store them in a `astropy.io.fits.HDUList` objects and call `HDUList.writeto`." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "my_table2 = Table(data=dict(a=[1, 2, 3]))\n", "hdu_list = fits.HDUList([\n", " fits.PrimaryHDU(), # need an empty primary HDU\n", " fits.table_to_hdu(my_table),\n", " fits.table_to_hdu(my_table2),\n", "])\n", "# hdu_list.writeto('tables.fits')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using regions\n", "\n", "Let's try to find sources inside a circular region in the sky.\n", "\n", "For this we will rely on the [region package](http://astropy-regions.readthedocs.io/en/latest/index.html)\n", "\n", "We first create a circular region centered on a given SkyCoord with a given radius." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "from regions import CircleSkyRegion\n", "\n", "#center = SkyCoord.from_name(\"M31\")\n", "center = SkyCoord(ra='0h42m44.31s', dec='41d16m09.4s')\n", "\n", "circle_region = CircleSkyRegion(\n", " center=center,\n", " radius=Angle(50, 'deg')\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now use the contains method to search objects in this circular region in the sky." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "in_region = circle_region.contains(coord)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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m+WAR+UxENopIXDvFGGW1WrdNmzZt4ffff88khoiIiMiHhYaG4r333gt74403\nLoiNjU02GAwjtY6pI/PZERkREQBBSqliETEC2AZgLoAFAFYppVaIyP8B2KeU+oeI3A3gNwC/Apim\nlFrclvEZDIYLLBbLytdff906YcIEVvMTERERdSInT57EpEmTcn/99df/y87OfoRtmpvPZ0dkVLXi\nmn8aax4KwEUAPql5/m0AV9V8rQfgqHlIW8UlIjqLxfLkgAED1u7evTuWSQwRERFR59OlSxfs2rUr\n8pZbbpljtVq/FhGr1jF1ND6byACAiOhFJBlAJoD/ATgGIF8pZavZ5CSA+Jqv3wdwH4C/A3ipjeKx\nWCyW7dOmTZu3e/fuyK5du7bFYYiIiIioAzAYDHjmmWdCli9fPqRmqtkorWPqSHx2all9IhIOYDWA\nRwG8pZTqVfN8VwD/VUoNaOsYDAbDhRaL5SNOJSMiIiKihjjVrPl8ekSmllIqH8BmAMMBhItIbW/j\nLgBS2/LYNVPJ/jRgwIA1nEpGRERERM7Um2p2n9Vq3cGpZk3z2URGRCw1IzEQEROAiwH8CGATgKtr\nNpsOYG1bxlAzlWwup5IRERERUWNqppoFL1++fHBMTMw+TjVrnM9OLRORc1BdzK9HdcK2Uin1pIic\nAWAFgEgAewHcpJSq8PTxDQbD+RaL5dPXX3/dwlEYIiIiImqO2qlmv/322z+ysrIe4QKap/PZREZL\nERERt8fGxj61bt06jsIQERERUYvYbDbMmTOnaNWqVdsyMzOnKqXKtI7JmzCR8aCaepgXzz333Gmf\nfvppeFBQkNYhEREREVEH9+qrr1Y88sgjP2dlZY1VSqVpHY+3YCLjISISbLFY/j19+vRBTz31VLBO\n57PlR0RERETUzjZt2uS48cYbM9LT0ycopfZqHY83YCLjASLSzWq1fvnMM890u+mmm/y0joeIiIiI\nfM9PP/2E8ePH52RkZMwqKipaqXU8WmMi00oGg+G86Ojo1Z9++mn08OHDtQ6HiIiIiHxYQUEBJkyY\nkHfkyJFXOnsTAM5/aoXw8PBbe/Xq9a8dO3YwiSEiIiKiNhcWFobNmzdHTJ48eY7Vav1MRAK0jkkr\nHJFpgZqi/ucGDhx48+rVqyOCg4O1DomIiIiIOpmXX365/IknnjhW0wQgQ+t42hsTmWYSkUCLxfKv\nm266acjTTz8dwqJ+IiIiItLKl19+6bjpppvSapoA7NM6nvbERKYZRCTcYrFsWbJkSd/bbruNRf1E\nREREpLkgLjKoAAAgAElEQVSjR49i3LhxWSdPnpxis9m2aR1Pe2Ei4yYRsVoslq9effXVMyZPnmzQ\nOh4iIiIiolqpqakYNWpUTkpKyi2lpaX/1Tqe9sBExg017ZW3vv/++10vvvhiziUjIiIiIq+Tk5OD\n0aNH5/7yyy+zCwsLP9Q6nrbGRKYJItI7JiZm4+rVq+OGDx8uWsdDRERERORKUVERxo4dm/fTTz89\nnJub+4rW8bQlJjKNEJHEuLi4L7744ovoAQMGaB0OEREREVGTysrKMGHChLz9+/c/k52d/Ret42kr\nTGRcMBgMI+Lj41d/+eWXll69emkdDhERERGR26qqqnDNNdcUfP31129lZWUt8MWFM1nv4URAQMD4\nhISEtV9//TWTGCIiIiLqcIxGI1atWhU2YcKEmRaL5S0R8bn7fp97Q60VGhp6Xa9evd7fuXOnOT4+\nXutwiIiIiIhaRKfT4c033wy9+eabp1gsltUi4lOdd5nI1BMWFnZL7969X/n6668jo6KitA6HiIiI\niKhVRATPPPNMyNy5c8dardb/+lIyw0SmRlBQ0OSEhITnNm/eHBkaGqp1OEREREREHvPHP/4xaNas\nWedbrdaVvjLNjMX+APz8/C4+44wzVuzYscMcERGhdThERERERG1iwYIFRe+9996nWVlZMzt6A4BO\nn8gYDIbzunfv/tmOHTuirFar1uEQEREREbUZpRRuu+22wv/85z9vZWRkzNM6ntbo1ImMiCR27dp1\n/fbt2y1du3bVOhwiIiIiojbncDhw7bXXFmzZsuWFrKysx7SOp6U6bSIjIn3i4uK2bNmyJZotlomI\niIioM7HZbJgwYUL+nj17/pSTk/Os1vG0RKdMZEQkISYmZvv//ve/uLPPPlvrcIiIiIiI2l1FRQXG\njh2bd+DAgYV5eXlvaB1Pc/lEx4LmEJFYq9W65bPPPmMSQ0RERESdlr+/P9atWxdxxhln/C0kJOQa\nreNprk6VyIiI2WKxfLVy5couQ4YM0TocIiIiIiJNBQUFYePGjZHdunX7v4CAgPFax9McnSaRERE/\ni8Wy4c0330wYNWpUp3nfRERERESNCQsLw5YtWyJjY2PfFZEBWsfjrk5xQy8iYrFY3n3ggQd6X3HF\nFXqt4yEiIiIi8iZRUVH4/PPPo6Kjo/8rIhat43FHp0hkzGbzoosvvvjShQsXBmodCxERERGRN+rb\nty/eeuutOKvVul5E/LSOpyk+n8gEBASM7969+6Lly5eHiYjW4RARERERea3LLrtMt2jRoj5Wq/Vd\n8fKbZ59uvywifbp27frVt99+a7FYOsQIGREREZFXWbM3BcvWHUZqfhniwk0Y09eCTYey6v698NI+\nuCopXuswyYOUUrjpppsK1q1btyQ7O/spreNxxWcTGRGJsFqtyRs2bOg2YECHqVkiIiIi8hpr9qbg\noVXfo6zK7nIbk1GPJVMGMJnxMZWVlTj//PNzf/jhh2nl5eVfaB2PMz45tUxEDBaLZd1rr70WxySG\niIiIqGWWrTvcaBIDAGVVdixbd7idIqL24ufnh88//zwyJibmHRHpo3U8zvhkImO1Wl+fM2fOWZMm\nTTJoHQsRERFRR5WaX+bR7ahjsVgs+Ne//mWpKf6P0DqehnwukTGbzbNHjBgx6eGHHw7SOhYiIiKi\njiwu3OTR7Txhzd4UjFi6ET0W/wcjlm7Emr0p7XbszmjAgAF47bXX4qxW6zoR8apBAp9KZERkQFRU\n1OMffPBBuJc3WSAiIiLyegsv7QOTsfEl+ExGPRZe2j4zj2prdlLyy6AApOSX4aFV3zOZaWOTJk0y\n3HbbbWdZLJY/ax1LfT5T7C8iJqvV+sOmTZvOOOuss7QOh4iIiKjDqt+pLDzQCKWAgrIqzbuWjVi6\nESlOprHFh5uwffFF7RJDZ2Wz2TB48ODcffv2XaGU2qF1PADgVcNDrWG1Wv/v4YcfjmMSQ0RERNRy\nDTuV5ZVWwWTU47nrEt1KWBq2a/ZkouOqFoc1Om3PYDBgzZo1kcOHD18pIv2VUoVax+QTU8sCAwOv\n7N+//5WzZ88O0DoWIiIioo7MWacydzuTtfXUL1e1OO1Zo9OZJSQk4Omnn46Ojo5+X+tYAB9IZEQk\nJiIi4p8rV66MYF0MERERdRZtVfTemlGP1iRB7nBWs9OeNToE3HTTTcYRI0ZcEBoaeqvWsXToREZE\ndFardfVbb71liYqK0jocIiIionbRliMfrRn1aOupX1clxWPJlAGIDzdBUF0bw8U4299bb70VHhER\nsUxEemgZR4cu9jebzQ/dcMMNi//+97+Hah0LERERUXtpy6L3hjUyQPWohzsJg6u49CJwKNXuzQGo\n7ezcuRMTJ048kJWVlaiUsmkRQ4cdkRGRRKvVev8zzzzDJIaIiIg6lbYc+WjNqIerds12pdgu2ccM\nHz4cd999d4LFYlmqVQwdckSmptXygS1btvTo27ev1uEQERERtStvbkNcv2uZTgR2J/eaHKHxDXa7\nHUOHDs3dt2/fRJvNtr29j98hR2QsFsufFi5cGMskhoiIiDqjlha9t1WDgPquSorH9sUX4fjSCXC4\n+MCcIzS+Qa/X45NPPok0m83viYixvY/fqkRGRN4UkUwR+aHec4+LSIqIJNc8Lq/3vWUiskdERrXi\nmGdGRERMnzdvHlstExERUafUkulfzhoEzPsoGUlPrm+zRMKdBgGe7GpG7a9Hjx645557rGaz+aH2\nPnarppaJyEgAxQDeUUqdXfPc4wCKlVJPN9i2L4DbADwGYLlS6toWHE+io6N3rl69euh5553X4riJ\niIiIOhtX09EA94v5m8tZ4wBnBMDxpRM8emxqPxUVFejbt2/2iRMnzlVK/dZexzW05sVKqa0ikuDm\n5noADgAK1T+vzWYyma4dM2ZMbyYxRERERKeqrU1JyS+DvqY2Jb5eDUpjjQBqR0U8ncjU7q+pmpn2\nWNCyfu0Oa3M8y9/fH6+99lrkzTffvBzA2PY6bqsSmUbMFpFbAOwBcL9SKk8pdUBEAgFsA7CwuTsU\nkZCYmJjnXnrppXBPB0tERETUkTUc+ahNFmprUIDqZMHViAzgubVeGroqKb4uYXDV2tmd2p7WJCEN\nj1v/vDCZ8Yxx48bpBg8enGQ0Gi+vqqr6b3scsy2K/f8BoCeARABpAJ6p/YZSao5SapBSamNzd2q1\nWpc99thjkVz4koiIiOhUy9Yddjl9q3a0xVVr5Fphprav1XZV2wPAZRMCTyz+6ez8sDbH81577bUI\ns9n8fyLSLrXsHk9klFIZSim7UsoB4J8AhrZ2nyJyttVqvfrOO+/0b32ERERERL6lqdGU1PyyuiTC\nZHR++1dUYWuX7mH1u5rVtopuLFHxRBLS2nV32qPbmy+Ii4vDAw88EGWxWJ5sj+N5PJERkdh6/5wM\n4AdX27q5P4mOjn7/nXfeMet0HbJbNBEREVGbaqrGpPb7VyXFIzLI+efCdofSZISiqUTFE4t/ujo/\n7tTmeGJEqDOZN2+eKSIiYoaI9GrrY7W2/fKHAHYA6CMiJ0XkNgB/E5HvRWQ/gDEA5rfmGCEhITOv\nvPLK7klJSa3ZDREREZHPamraWGnl76MtjSUAnq6TcWcko6lExVWyoRNxO5lo6bo7AKelNZfBYMBb\nb70VFR0d/Z6ItKjBl7ta1X65rYmIf3R09PFDhw7Fhoezxp+IiIioVsMC+ASzCTt/znPaFQz4vcVy\nbWczZ+LDTXXTvTwRn7PC/oZtnl21ha6NpbEWzs1pG93wfI3pa8GmQ1lNNhDosfg/cHW3HM/uZy5N\nmjQp97PPPrumJbXx7vLquVqhoaF333XXXWFMYoiIiIh+52y60/ZjuS6TGODUon+j7vQPyo16cWuE\nwl3ujmQ0NVpSW9ujd/Lhfu3+mhr5cZbEfPptilvTxRqbfsZpZq4tW7YsMiYm5oW2HJXx2hEZEfGP\niYk5fvjw4djQ0FCtwyEiIiLymDV7U/DEvw4gr7QKABBuMuLxif3d/mS/scUtG1O78OSavSl4/LMD\nyC+rPn5EoBGPXen+8d3haiTD2eKX7rRXbmxkxGTUuxz5cTaiI4DTfTkbkXJnUU9PjmT5kilTpuSu\nXbv2Wrvd/mVb7L+t1pFptbCwsFl33XVXGJMYIiIi8iVr9qZg4Sf7UGX//VY6v6wKCz/eB8C9dU1a\nWstSv+i/radDhQca6xI1ZzHU5048rtbB0Yu4HPm5Kine6ciQq4TI2Xmtv6inq+SxOdejMy3MuXTp\n0sgdO3a8ICIDVBuMnnjl1DIRCTCZTIsWLFgQqHUsRERERJ60bN3hU5KYWlXN6BrmTrethtwtbveE\nNXtTUFxuO+351kxfczUFzdV0utrkwhPdza5KisfCS/s4nd7W2Osa6mwd0Hr37o3zzz8/VqfTXdwW\n+/fKRCY8PPzee+65J5SjMURERORrGpsS5u5Nd1NdymrpBKcsPNlen/wvW3cYVY7TE4wgP0OLY3C1\nmGZ8E62VXSUZDVOSxhK92gTEWdLk7HWuanY6Ywe0p556KtJisTzXFrUyXje1TEQCYmJiHpg/fz5H\nY4iIiMinrNmb4rI+A3B9011/OlKYyQiR6htgvQjsSiHcZERRhQ32esmDUS9YdvVATaYtuUrICspO\nn2rWHK6moDnrjlabXCy8tI/T708dFO9W1zLAeQICVE9ra5ggNqypqR11ATyzJk5H06tXL1xwwQVx\nq1evHgdgvSf37XWJTERExJxZs2aFhoSEaB0KERERkUctW3fYZRJj1DmfdtXwxji/XjJgVwomox6P\nT+xft39vqL1wVc/SkilxTalfw5KaX4bwQCOUAuZ/lFzXpa227XRLz42rRMOh1Gn7aWzUxdV5CQ80\nYsTSjV5x7drCU089FbFt27bnRaS/J2tlvKprmYiYYmNjfz5y5EhMcHCw1uEQEREReVRjnbeevy7R\n6c2rOx3KvK1rlrtryHSU47q6BhGBRgT6GU5JQOZ/lOyyW9tz1yU22QHNUzF7m2uvvTbv008/vcFu\nt6/z1D69qkYmODh45p133hnGJIaIiIh8kasRifhwk9Ob1jV7U9xqs+xtU5Nc1bO09Y15W9WgOKtJ\nMuoFxeW20wr3wwONTvcRV3ONl0wZgAgX23gyZm+zZMmSCKvV+jdP7tOrppYFBwfPmzVrlufHHImI\niIi8gKt6jcamlLmjLaZstVZ7tHhuqK1qUBpOX4sLN6GkwnbKND+gOgHxN+icrmtTf4HPZesOO21N\n7cmYvU3Pnj2RkJAQKyJ9lFIeydK8ZkRGRAYNHDgw3Gq1ah0KERERUZtozkiFqwLzhtxpq+yqi5av\naWw0pLWuSorH9sUX4fjSCdi++CKXjQsKyqqavMbuJCnemJy21sKFC83R0dH3e2p/XjMiExsb++AD\nDzwQpXUcRERERG3J3ZGKxm52IwKNyC+tcqswvLEuWr5Ug+HptWuaWriysYYGTV1jV6+t1Z5r/rSn\nK6+8Ujd79uxJIjJHKVXR2v15xYiMiIQYjcbRF13kPUVqRERERFpqrJ5m76OX1I0MXJUU3+iIS2dZ\nu8STa9e4s3ClqwU63UlAnL22dpGV9l7zpz0ZjUbceOONgf7+/lM9sT+vGJEJCgq6+Y477gjW6bwi\nryIiIiLSnLv1NE2NuHSWtUs8uXZNY8lfbYLhrG6m9to0bKXsbLvWtoTuqO69997gDz744EEAH7R2\nX16RyISEhMy/8847fW8iIBEREVELubpRbs66JVclxbfrmi5tqTVTvZrL3eSv4RQyZ0nlwo/3AQJU\n2VXdcw+t+h5LpgzwqpbZ7aVHjx7o1q1bnIj0Vkodac2+NB8CYZE/ERERkXMNC8xrb5rrTyVzVWtR\ne9PdmilQ3qKtp3o15Cr5aSopcpZUVjlUXRJTyxen9jXHwoULIz1R9K/5gphxcXEfvfvuu9eOHTtW\n0ziIiIiIOgJniz46U3+RzKZGM7TiblyuFqQMNxkR5P/7gpRj+lqw6VBWq9+ns3Ns1AuC/AwoKHPd\nZKGxBU8bEgDHl05odmy+oKqqCt27d89MS0vr1pqif02nlolIUNeuXceMGTNGyzCIiIiIOgx32jI3\nHInQYk2XpjSnm5qrqV75ZVV1a7mk5Jfh029TPFIo33BaX3igEcXltlOO5SzWprqR1dfRpvZ5Um3R\n//PPP38VgI9auh+tp5ZdPGXKFH8W+RMRERG5p7Ei/abWpvEmzemm5u5NvyenbNWf1hfoZzitI5qz\nYzmb3mbUCYx6OeU5rv0D3HTTTcExMTG3t2Yfmo7IxMfH33LNNdeEahkDERERUUfi6lP/+lPJOoLm\ndFNz1sGtufttjeYU/wPOO5k1Z2pfZ1j7Z+DAgVBKDRQRo1Kq+a3loGEiIyK6mJiYEcOHD9cqBCIi\nIqIOx922zN6uOV3GnCUIpZU25JWefv9b+3pP1gW5E2vD4z13XeIpx2vOsd1p/9zRiQjGjh2rf/fd\nd0cA2NySfWg5InPu0KFD9Xq9vuktiYiIiAiA+22ZG6Nl8X/tsVPyyyDAKcXxjSVkDet8Hl7zPd7b\n+etp243pa/H4iEZTyaOnj9dZ1v65/vrrI//3v//diI6WyERFRV134403mrU6PhEREZGntHdi0Jri\nfS2nLTU8tgLqkpn4Zp63TYeyXD6/6VCWR0c0mkoePT2C4itr/zRlzJgxUEpd1tLXa5bIGAyGKePH\nj5emtyQiIiLyXh2tnkHLaUvOjl2bxDS3vqcloxatGdFoLHn09AiKr0wfbIrJZEKfPn38W7o4pibt\nwkQkPi4uLjgsLEyLwxMRERF5THO6b3lKazpaubq5Tskva/POWJ684W9s0cqWLmjZUq09XsPrCQBL\npgxAfLipQ3Wia4kbb7wxIiwsbGpLXqtJIhMQEHDlDTfcwCyGiIiIOjx3bs492UrXnVXuG9PYzfW8\nj5KR9OT6NktoPJlgjOlrcfm8szbIDUc0PHlN3DmeK66uJ4C69s/bF1/kk0kMAFx55ZWGoKCgG1ry\nWk0SGbPZPH3SpEn+WhybiIiIyJOaujlvbeLRUGtHgJzddNeXV1rVqviae+yWTplqrEbmqqT4Rkc0\n3L0m7iY7TR2vMVqM6HmTuLg4BAcHx4hIeHNf2+41MiKii4+P73nmmWe296GJiIiIPK6pegZP16S0\ndnpW7THnfZTscpu2qpmpXxyfkl8GvcgpN+3NOV5T56GxmhZ3rklza59a2oChs3Qoa8wVV1wR8Oyz\nz14I4F/NeZ0WIzJn9uvXT4PDEhEREXleU5/Ge/pG1RPTs65Kikd8E9u31Y30VUnxdSMzdlXdfLkl\no1StOQ/uXJP2Gilp73oebzRixIgQi8Uysrmva/dERkQGjRo1KqS9j0tERETUVq5KindZz+DpG1Vn\n07ME1clAc2o9mppi1hY30rVTteZ9lNzqJKE1dTDuXJP2Gilp7nQ7T9b2eItBgwbB39/f+xOZ2NjY\ni4YNGxbQ3sclIiIi0oIn60KAU0eAAJyyqGRzRjZq9xNuMjr9fn5ppUdvkuvXpbjS3CTB3/D7rWxE\noNHtOhh3rkl7jZQ0p77G0/VW3qJbt26w2+3dmvs6UUo1vZUHxcfH/7B///7+ZjPXwiQiIqLOoa0W\nzByxdKPTxKC567I8vOZ7vLfzV6ffiwg04rEr+7c6Xlex1tdY3PXPYZjJiJJKG6rsv9/Hmoz6UxKA\nps5NU9ekYY2Ms2O0N09db280ZMiQzD179gxUSqW7+5p2LfYXEV2XLl0sTGKIiIioo2tOctLSQvCm\neGr6k6sOYEB1F7P5HyVj3kfJiG9FEtZUTE1Np6qfVOSXVZ22TcNi/cbWyxmxdCMWXtqn0Zv/+o0J\naq/xmL4WLFt3GPM/SvZoQuouX24McMEFFwTs2bNnEID/uPua9u5a1rNPH99akZSIiIg6n+Z2tHK1\nj9aO0sSFm5x+Qt/c6U9N3Qg3nLoGNK/DWG1MrkZkBMDUQc3rMuZM/ffR2PHcfR/1E1B3r3lbjb41\n9p58oTHAiBEjQt99990L0YxEpr1rZAaNHDmShf5ERETUobnb0cpZYfaavSlIfGI95n2U3OpahzF9\nLRAnz5dW2jzSAcyZlnbucrWAJVCdKDU2KuTuiEP999FUM4OyKjvuX7nP7aL5pq55S69rc4r3PVVv\n5Y0NAwYNGgSTyTSqOa9p10QmNjb2ouHDh3f8lJGIiIg6NXem+DgrzF748T4s/GRfo1Oj3LVmbwo+\n/TYFzqqdm7uo5cJL+zTrprAlU5kaS1Sa2md4oPOGBPU1vKFv2BTBGbtSbiccjV3z2mvd3Ova3OL9\n1iy82dJjtpeEhATYbLaE5rymXaeW6XS64eeee257HpKIiIjI41xN8dGJoMfi/yAu3ITSSttpn+BX\nORpvstScBKGp6VbNWdTyqqR4PPGvA8grPf1G3JmWTGVq6r01tk9XvamkpmWbqylctVPD3Gk00NT5\namxaV1PXwtV7b8liqa2tt/L0Aq2eIiKIi4vTiYhVKZXpzmvadUTG4XBERkVFtechiYiIiFqksek3\nrqYt1f+E392koL7mJAjuJD3NSYzy3Yy3pa2jmxpVaWyfBU5GOgAACk7X7nG278ammdVq7Hw1tn5P\nU0mSq+vaVEOCthgl8eaGAX369NEB6O7u9u2WyIiIGI3GpscFO6BDhw7hvPPOg7+/P55++ulTvpeQ\nkIABAwYgMTERgwcPrns+NzcX48aNw5lnnolx48YhLy8PAOBwOHDLLbfg/PPPx4EDB9r1fbSGq3Pw\n22+/YcyYMejXrx/69++PF154oe57vnYOGsrLy8PkyZNxzjnnYOjQofjhhx/qvvfFF1+gT58+6NWr\nF5YuXVr3/IEDB3Deeedh+vTpcDgcWoTtcZs3b0ZiYiL69++PUaN+n/raWc7B2rVrcc4559T9Dti2\nbVvd995++22ceeaZOPPMM/H222/XPb9582YMHjwYixYt0iLkNuXsuvvaNW+ovLwcQ4cOxcCBA9G/\nf3889thjAIDjx49j2LBhOPPMM3HdddehsrISAFBcXIyJEyfioosuQmpqqpahe1R+fj6uvvpq9O3b\nF/369cOOHTu8+u9AU9NvGk7x0YuzSpVTFe5Zi9Q3ZiH19Vko/GYtAMBeVoSMFQ8j5bU7kLXyEdxz\nXjQA5+egYWLlznSrMBdrxDR8ryOWbnQ6Ra2hcJOx2VOZZs6cibDIKBx86c665/I2vYmUf96N1Ddn\nI3PVnxGCirp9LlmyBL169UKfPn2wbt06ANWJQMnBLUhbPrfu3NU+7w53r1dj+2ts/Z7GmIx6BOx4\nDVarFWeffXbd848//jhS/zEdqW/NQepbc1B27Ju67xXsWIndT92E6y4ehsdefr/u+RUrVuDcc8/F\n888/78aRnWuv9XFaIiEhwQQg1t3t23NEJiwiIqIdD9d+IiMj8eKLL+KBBx5w+v1NmzYhOTkZe/bs\nqXtu6dKlGDt2LI4ePYqxY8fW/UFfv349hg0bhtWrV+OZZ55pl/g9wdU5MBgMeOaZZ/Djjz9i586d\nePnll3Hw4EEAvncOGvrrX/+KxMRE7N+/H++88w7mzp0LALDb7bj33nvx+eef4+DBg/jwww/rzsmz\nzz6Lzz77DIMHD8b69eu1DN8j8vPzMWvWLHz22Wc4cOAAPv74YwCd6xyMHTsW+/btQ3JyMt58803c\nfvvtAKoT+SeeeAK7du3C7t278cQTT9TdxP3jH//AV199BbvdjkOHDmkZvke5uu6+ds0b8vf3x8aN\nG+t+Dr744gvs3LkTDz74IObPn4+jR48iIiICb7zxBgDgvffew1133YUXXngBL774osbRe87cuXMx\nfvx4HDp0CPv27UO/fv28+u+AO8X8VyXFY/vii3B86QQ4mliXrzLrBIr3rUPMLc8iduZLKDu2G1W5\nKSjc+TECEgai613/xJQrLsX3/30HwOnnwFliVVxug1HfeAJV0kjRf8PidHdU2Jr/YcOtt96KhGl/\nhqp32x+QkIi4215G3My/wxgZj5Aj/wYAHDx4ECtWrMCBAwfwxRdfYNasWbDb7Vh4aR+UH96GmFue\nRUXqITgqy5o9MlT/ej1z7cAWFc3X7iM+3ORWElO7SOdj98/CF198cdr3b5h5D3re+QriZrwEU88h\nAIDK7F9R8uNWxN32CqKueQJPPboQdnv1z+KKFSvwzTffYOfOnSguLnbvjTfg6QVaPal79+6BBoPB\n7Sy5PROZ2Ph47ebdtSWr1YohQ4agOQNOa9euxfTp0wEA06dPx5o1awBU/6HX6XTQ6XRo78VKW8PV\nOYiNjUVtXVRISAj69euHlJTqX6i+dg4aOnjwIMaOHQsA6Nu3L06cOIGMjAzs3r0bvXr1whlnnAE/\nPz9cf/31WLu25pM5ux0i0uHfe60PPvgAU6ZMQbdu1Yv1Wq1WAOhU5yA4OBhS88lfSUlJ3dfr1q3D\nuHHjEBkZiYiICIwbN67uj5zD4fCpc1DL1XX3tWvekIggODgYAFBVVYWqqiqICDZu3Iirr74agG/+\nDqyvsLAQW7duxW233QYA8PPzQ3h4uFf/HWhsyo+zxKCpT7Orck7CP64vdMYAiE4P/65no/ToDpT+\ntAtBZ4+FUsDfHrrP5TlwllhVORSC/Ax1owzOBhmq7MppoXljxemNaUnHspEjRyLH5nfKc6Ye50J0\n1TfT/nF9cODIcazZm4K1a9fi+uuvh7+/P3r06IFevXph9+7duCopHv1iQ6rfqwjiwgLcHhlyNkWw\ntUXzjU3Dqt3f89clYu+jl+CqpHiMHDkSkZGRp217dnwYlkwZcMoIUdnRnQjqNxJiMMIYHgMJjcHu\n3bsBoO7/BxFp8f8bnmgY0Fbi4uLEbDb3cnf7dk1kunfv7tf0Zr5FRHDJJZdg0KBBeO211+qez8jI\nQGxs9chZbGwsMjOra5ouvfRSbNmyBRMnTsSCBQs0ibmtnDhxAnv37sWwYcMA+P45GDhwIFatWgWg\n+rndKEYAACAASURBVAbul19+wcmTJ5GSkoKuXbvWbdelS5e65G7u3LmYMGECduzYgUsuuUSTuD3p\nyJEjyMvLw+jRozFo0CC88071J42d6RwAwOrVq9G3b19MmDABb775JoDGz8Htt9+O888/Hw6HA/36\n9dMk5rbg6j374jVvyG63IzExEVarFePGjUPPnj0RHh4Og6G650796z9t2jS8+OKLmD17NubMmaNl\n2B7z888/w2KxYMaMGUhKSsLtt9+OkpISr/470FhiUn+KWe1Nckp+2WltkI06gV5X/axfVHeU//YD\n7GWFcFSVo+znPbAXZsNekg9DcCTiwk1152DN3hT8JdkPD7z4Ic4YNAqJl01zeeNcUFZVN8rgaojA\n2WvdXZfF3f01JTo0wOX3ivf/D8Yeg7Bs3eFGfzfeO+NGlH28CE/cNhE7H7vC7STG1RTB+iM0TdXY\nNOTq5yM+3NSs/f3973/Ho9MvQ+Z/noO9vHqExV6cA33o762qQ6Oi687BlClTMHjwYAwePBghIc1f\n0aT253X+R8kAgOeuS2z2e29LcXFx8PPzO8Pd7duza1lcjx49AtvxeF5h+/btiIuLQ2ZmJsaNG4e+\nffti5MiRLrc3GAxYsWJFO0bYPoqLizF16lQ8//zzCA0NbXRbXzkHixcvxty5c5GYmIgBAwYgKSkJ\nBoPB6ScotZ/SJyUlYdeuXe0dapux2Wz49ttv8eWXX6KsrAznnXcehg8f3qnOAQBMnjwZkydPxtat\nW/HII49gw4YNjZ6DSy+9FJdeeml7h9nmXL1nX7zmDen1eiQnJyM/Px+TJ0/Gjz/+eNo2tdc/PDwc\nn3/+eXuH2KZsNhu+++47vPTSSxg2bBjmzp17Sm1cQ97wd2DhpX1OWfywvvqjEvW3Ufi9biK+pmtZ\nbcG/MaorQoddjcyPHoEYA+Bn7QHofp/eU7vuS5Vd1e3TMulBAMDz31W4nMZU/4a6OYslujuVzBkF\nYMTSjc1a6PGukWdg9punP1/w9UeATo+gs0YjNb8MiY38bpw+fXrdCJ67XE0RfPyzA61atNLZz4er\n6Vm1C2T+8ssJ5GaX1CVR99xzDx555BGICLqNvRl5G19H1OXzTunQJgAGxIe16hzUj6O1i7i2tdjY\nWCilvG9qWVhYWEKXLl18ZkTm5ZdfRmJiIhITExstxoyLiwNQPaVm8uTJdUOD0dHRSEtLAwCkpaXV\nTbnpSNw9B1VVVZg6dSqmTZuGKVOm1D3vC+egofrnpLi4GG+99RaSk5PxzjvvICsrCz169ECXLl3w\n22+/1b3m5MmTdT8nvqD+OYiLi8P48eMRFBSEqKgojBw5Evv27etU56D+/xsjR47EsWPHkJ2d7fPn\nwJnO+J4bCg8Px+jRo7Fz507k5+fDZrMB8P1z0aVLF3Tp0qVuRP7qq6/Gd99959V/B65Kise53cJc\nfj81v8zpTXJtErN98UWndQELGXgJYm99ATHTnkJgcBiMEXHQB4XDVpyLvNIqLHx7C2x+IU736UzD\nG2d3ax/W7E1xuohmczR37ZFL+secVmBf/P2XKD22G1FXPlA9XSzcdNrvie8OHsMTG1JbvHCjq9Gj\n/LKqU0Zp5n2UjKQn17u9f3enZ9UfEQIAm91Rd96io6Oh1+uh0+nw6ANzUJV+FABgCDHDXpgFATBt\neDfoy/I88vvB3UVctWS1WmGz2dz+RdBuiUxwcHCv2uFjX3DvvfciOTkZycnJLn+4SkpKUFRUVPf1\n+vXr67pVTJw4sa5L0dtvv41Jkya1T+Ae5M45UErhtttuQ79+/U6bHuAL56Ch+uckMDCwrgvR66+/\njpEjRyI0NBRDhgzB0aNHcfz4cVRWVmLFihWYOHGixpF7Tv1zMHnyZHz11Vew2WwoLS3Frl270K9f\nv051DkpLS+tGIr777jtUVlbCbDbj0ksvxfr165GXl4e8vDysX7/eJ0dh6vP16+5KVlYW8vPzAQBl\nZWXYsGED+vXrhzFjxuCTTz4B4Du/A12JiYlB165dcfhw9Q3Tl19+ibPOOsvr/g7Ur6Xo98jn2H4s\n1+W2YSajy1GN2ucbjoTYS6p/DqJQiKLDXyPwrFEI7DUMJT98CQDITl4P/55D3YrV2Y2zuzfXy9Yd\ndqtQvSnNvQm2hAbUJVplP3+Lwl2fwDr1UeiMAXUJ18SJE7FixQpUVFTg1X/vwIFDh1EQ0r3FCzc2\npxNXcxcRrT81beGlfbBs3eHTEq7GkofaJB4ASo7swNCkgYgPNyGw1zBUHtmGv03uh9sGBuPo0aMY\nOtS9n4vGeHPb5VoGgwF6vd7f7e3bMpj6dDpdN1/9tCk9PR2DBw9G4f+zd+fxUVX3//hfJ5MhG0LC\nEopR1LYKQlVQVDRuuBBQwKCCRahWrdunoigFsQKCK4pLrdJqW6tYlwZFIwqKWFCURRbZjIAbi2SZ\nSchClkkyy/n8kdwwubnLudvcSfJ+Ph6fx/dnmLn3zJn7+fzOe855v9+HDyMhIQF/+ctf8O2336Ks\nrAzjxo0D0LStft1112HkyJEAmo4dTZgwAS+//DL69evXUs2pvVKbgx07duA///lPSwlqoKma1+WX\nX97h5kBu165duP766+HxeDBw4MCWikSJiYl44YUXkJOTg3A4jJtuugmDBg1yebTOOPnkkzFy5Eic\neuqpSEhIwB/+8IeWYL6zzMGSJUvw2muvwev1IiUlBXl5eWCMoUePHpg9ezbOPLOpSs2cOXMUE0E7\nks707EcrLi7GDTfcgHA4jEgkggkTJmD06NEYOHAgfvvb32LWrFkYMmRISyJ8R/X8889j0qRJaGxs\nxC9/+Uu88sorLfMRD///Afmxm0BQuzpXbYN6kry08yA/flSa/xh4fTVYRld0u/g2eJK7otuwa1D2\n/nzU7PgEid16o9eV9+uOlQFYO/NixX8TaZZodOGalZ6CoubdCzPXmjhxIj777DOUlZWh+z9uRPp5\nk1C+6k3wcBC+vFnwehLQ/5TTsSDtdhRVBhD5xVAc9+v+qKoPI+PS21uKAgDGGzdqHRFUEgiGMW3x\ndtyTt034yJnWkS1pfkqXPomGAzsRDhzGwYU3oOa8SZhR0HRqgzGG448/Hotffak5Z+xiPPpoBWZe\ndxkSExOxcOFCeDz6PXD0GDl6KH0uK8fvzEpKSvIwxhI55yG917JYVQPJysr6pqCgYFB6enpM7kcI\nIYQQIkqk87sRf7l2MHKHZKkuBtXul57iRUMoornwlo6umWXks3o9DAuuOa0pEV/hPUbHojQfABTz\nTdTmgKGpCabZe6oFZWoyUr14cMwg1UW82nxK/WbU/k3axYlVoCAPuICmedY6EifyWrudffbZvo0b\nN57GOffpvVboaBljbCRjbA9j7AfG2Mzmvw1ijK1njC1ijOleh3PuTUoS3ikihBBCCIkZu4/X3JO3\nDcfPXIYFK/Zgek7/NpWs1PJZ5o4d1Kbpovw1Vvt9qN178rB+SPEeWdIlMODaM49F7pAsW3qPqFUQ\nm/dBgeLxK9GmlUrllaPJj4AZ/Qlf78iZ1pEttXkbPqC3ZsNVJxgpu+xmPk1ycjIACPU00T1axhjz\nAFgI4DIABwFsYowtBXAvgLEAfgtgBIC2XX6icM4TpTKThBBCCCHxQPq13u7zKdL15JWhoncH0lO9\nSEpMQFUg2OYXeen/deJ4j/R+pZ2RJVuOLKQjvOm/hx7XQ/U9RsaitjhW23kJc95SBU4iD56MVuIy\nuxDXOtKmdWRLbd60AgUndzxEjh4C7ubTJCYmMtgVyAA4C8APnPOfAIAx9l8AVwLwoOnZiqDtDwZt\ncM49dpzvI4QQQgixg9LxGSdI5X7nLi1o1YCyoi6IFK8HzzYfQ1MiuvA0Sum62fNXaS6u9caiF3SZ\nObonL2ktv6bRgMDKQrywMqBYdlqvFLPSvEl9XOwcn52M5tPYqbm5utDuh8jRsiwAP0f998Hmvz0H\nYBmAcwB8InKvhIRY9t8khBBCCFFnpSmkUZWBYKsgRhJP5W/1qrBp0Wo8KVE7KsaANsevokWXtJYH\nBEZ3DqwuxJU+l5EjW3rjiEWgIMKOo4Rm2R3IKD11nHO+lXN+Nud8Muc8Nv9XgBBCCCHEJvHy63e8\njEMt0PAwppuHIpJTEVYpMMWBVnlBSowGJt1TlE8mTc/pD2+C9kGidJX3SpSCz+g8HKWAS2kcbgUK\nIswEZ3Zp3vgQOsYlEu0cBHBs1H8fA0C9+6E6zjlv6UxKCCGEEOImteMzsaa26I41tUAjzLluHorI\nzkiWynxLAdTamRerVgCLDliij7B1T/EigTXl80SrbQwhf2thm4W39N9TVY52pad4se3BES33UHs+\nrAafduQcOc2pY416gsEgAKjXN48isiOzCcCJjLETGGNd0JTcv9TooBhjkUhEuyY7IYQQQkisKP0q\nbkWK14O/XDsYGanGAhNp0e02tR0RD2O6uy0iR6XU5lsKlPK3FuruVMiPsFUGgm2CGAAIhrnqkb3c\nIVn4y7WD2+zMeBMY5o4d1PKatTMvVp0TO46AGd3F6SxCoRAA6PaQAQQCmeZmNHcCWAFgF4DFnPMC\no4NijIWaB0YIIYQQ4jrp+IzakSo1HoWjSRmp3pajN5V1Qj8mt9BadMeSWhChtlNTVBloOXJWWBnQ\nLRWtNd/RCfpaR5qM5DVp7ZrkDsnCgvGntbrPgvGntQkm7D4CpndEjwDBYJBDMJARSqThnC8HsNzK\noBhj4VAoBOolQwghhBC3KFXWihhoDi41R9Q6EqR2ZM3DmGZQ4DatUsFKn6d7irfVkTO9CmPSPfQq\ndmkdaTIyT3q7JiJHp+w8Ama0VHRn1bzxIfRrQMwauzDGaqurq5GWlharWxJCCCGEtFBbSKanelEh\nsIuS4vW0dHjXWniqleO9+owsvPXVz4rBTLxUq1L7bEqfhzG02R2JrjCmRi3Q657iRfb8VZoBg9p7\n5f1mGIDhA3qrjsEIeTAj7Z4ZDT7c6h3T3hw+fJgBqBN5bczqISckJBwsLi6O1e0IIYQQQlpRW0jq\nbcgYrdqkdDzq6jOysGRLoWIQY7ValdPHldSOe6kdodPbNVE6ruVNYKhtDOl2ulc76nXur3q0OtrG\n0dTM0+xcRM/p4HmfYPo723XHpsfNJpPtSWVlJQBUibw2ZjsyjY2N+4qLizFkyJBY3ZIQQgghpIXa\ngrEqEESGyq6M3u6CGvnOhlKzSaDpuJlSgKTXXDL6dU4eV5KPI7p5p9qRM5EjXdL7pevWNYbazL/S\nboXW8Td5iGh2t0M+p1r9f4xc280mk+1JMBgMci523jNmOzIVFRU/FBYWih9CJYQQQgixkVZlrQfH\nDHK0r4daEBXhXDGI0WsuKVHbZZq2eLvlHRq9cVhJhJdX7DKyu6NU7UttfgubCxIYIVpQwOhOSrz3\njokHtbW1AFAj+vpY7sgcPHDgQB0ASpIhhBBCSMyp5a5E73Y41dfDyK/xWsEJ0HqnRW0xLR1hs7JD\no5fTYXbOlHabROZHa5dKqyeQ0c8vGqAY3UlpD71j3FZcXIzExMQS0dfHLJABULx///56UCBDCCGE\nEJckexNaFufpKV7MHTuoZSGpl8QvetxLiVYQJacVnMgX5SJNPc0esRLJ6RCp/CVvYFnbGEIw3DrQ\nknKI1OZH7wid0vxKjH5+kTmVxmb0mXCryWR7UVRUBM75ftHXx+xoGYCi/fv3ixX+JoQQQgixkbQQ\njs7DaAiJN+o2ctxLiV5/lGhav/TLG1GKNvU0k1DePUW5saeRnQilBpZSECMJBMNYvbvUcP+Y6LmQ\n5leNkc+vVowgI9XbamwALD0TpK3i4mLU1tb+JPr6WO7IlBQXFxvrOEUIIYQQYgOrpW/tKJ0r+mu8\n1u4C0HZHRBpfUWUACSq9aoweg8rfWojaxrY9Cb0JzFBOh5F8EzP9Y+RzYbYAQTTRI2BKBRyonLI1\nP//8c7CioiL+AhnOeeOxxx5LOzKEEEIIiTmrpW9jWTpXWgRPW7xdKCiJDgDkR7AAcwnlC1bsabNz\nAgBdkxMNLdLN5pvIj2yp9fqR3ie9vrAy0KanjJnPLxJ0Ov1MWDnK2F7t37+/FoBwv5ZY7sggFAo1\nhsNheDz6W6CEEEIIIXaxWvpWq4mjE6QFq9GgxK6EcrXFuFp1MTVG8k0kSvkw3gQGr4e1Cq6i81Si\nX89xpEFmloMBgJPllK2W1W6vQdDevXuDMBDIxDJHBl6v94fvvvsulrckhBBCCLFc+nZ6Tn94E9qe\nkK9tDDmWE2Ekr0b+Pnl5YqO0SlUboZfDk57ibfOZlI6jBSMcaV0SFedC6fW8+dpmP78IJ8sp6+UE\nabGaz+WmXbt2AcAPoq+P6Y7M4cOHV2/evHn4ySefTLkyhBBCCIkZqzsVuUOyMO+DgjbHm4Jh7mhO\nhFtVroxUWZNo7QKoHftSKrig1bh024MjhF9fGQgif2uho98N4Ew5ZSvH1uzI53JDfX096urqajjn\nDaLviWkgU1VVte7LL7+s+t3vfpcey/sSQgghhMgXntEVr/Tkby1UzNEAmn7xPmHmsnZ1hEeP0UW6\n3lGo3CFZyJ6/qs1RLKUFttEjW1rH1/QW7yJHsLRe41SgaeXYWizzuey0Y8cOeL3e7UbeE9NABsDW\ndevWGTtcSQghhBBiA7N5B9L7tEQf4dG7XnthZJEusgsgusA2uhs0Pac/puZtE7p2tPythZj+9nYE\nI0d62kx/u3XTUaVnZvrb21t25zzNVeLszsUxsyMmcTJ3x0mbNm0KlZaW/s/Ie2KaI8M5rygrKwtG\nIuJ12wkhhBBC7GA270C0hLDo9ToikSDFSN5NsvfIElUpj0aOqSQtaC3e5y4taAliJMEIx9ylBS3/\nrZavI+3OSVXl7M5DMZsfBTibu+OkNWvWVNXX12808p5Y78jA6/V+9/333x/dv398TyYhhBBCOha1\n40d6R26MHskx8vr2Wl1KTmQXQGSXQal8tFbjUun1ClWqdRfvlQHlQ0LRfzfyXQaCYcxdWmDoOJ4T\n372TuTtO2rJlSwTADiPviXkgU11d/dnmzZsv7N+/PyX8E0IIISQm8rcWtkk0l+gduVFbpHsEmk9q\nLVatlth1mpGFtkiQIrLANpqorrZb5mFMeAdDi0j56GiVgWBLIKT1fep991afDTtyd2IZZNfX16O2\ntraWc15v5H0xPVoGAJWVlWu//PLLqljflxBCCCGd14IVexSDGAboVuKqU+hwn+L1YOLZx7YpyexN\nONL5Xq8MrpUSu04zWsJX9CiUXmlotR0QqaBC9vxVrcag9voI57qL7oxU5R5AqVHH2vTKR+tR+z71\nvnu3n41Yl3D+5ptvkJiYaGg3BnAhkAHw9bp16xpduC8hhBBCOim1BS+H+i/c0mJOXq1MytkYelyP\npkgoWtR/6y1GjS7aY0lkIZ2/tRDZ81e1jBWAY/1rACguqK30u3lwzCAotAZCMMJbri8P0NJTvPB6\njB0qUvqe9XKK3K48FutAatOmTeFDhw4ZSvQHXAhkOOflfr8/2NAgXCKaEEIIIcQStYVtlsaCV+3Y\nUlpSYksjxuhO88CRvjKA/mLU6KI9lvTG7tQv9iI7INELar3EdnmwFT2+3CFZ6J7Sdlcm+juUXicF\naNseHIEF15zW8tx4mqsMZKWnqO7wKH3PegGYXQ1JtT6/1r/FOpBauXJlRSAQWG/0fW7syIAxtmrN\nmjVu3JoQQgghnZBoJafoxZ1ecQCzgYr0d6OL9ljSG7tTv9jLd0DUSHOsdaRNJNiqVOkNpLVglwKb\nffOvwI+PX459zTtQD44ZJFwtTO95tKPymNbnV/q3qXnbMOShT5C/tdC2QEpEOBzG+vXrwwC2GH1v\nzJP9AaC4uPg/ixcvHnPZZZdRY0xCCCGE2EYtQVkk0VypYpaS6F/NtSp16SXAy8eklMMDuNPIUG/s\nTv5iH/19KTXRBIDuKV5kz1+lmYguUjjAzp4ruUOysHl/Od766meEOYeHMVx9hnLSvd7zaEflMb1g\nU+k5r6gL4v53d+LqM7KwZEuhqT42Rm3atAmJiYlfcc4N92dxJZABsObjjz8Ocs7B1Ap/E0IIIYQY\nINJdXmshKNIvRv6ruZFARWkxKrJod6ORod7YY9V0UWmOvQkMtY0h3epgIsGWlcaTcvlbC7FkS2FL\nJbsw51iypRBDj+uhGsxoPY9WK4+ZDTYDwTBW7y7F41edEpOqZe+8805NUVHRIjPvZVyp8HYMHHvs\nsZ+vWLHigoEDB7pyf0IIIYR0LGqBQFZ6CtbOvFjxPdE7OForIgao7uLYtdhT2hFK8XpsKSNsN62x\nAvb2MJHPcV1jqE0BBqDt9yz6PBj5DrVea+b5c5LWeNTmUMIA7J1/hYOjO+LXv/516Y8//vgrznm1\n0fe6tSMDv9+/KD8//8yBAwfG/mcGQgghhHQ4Rn+BFj1KprUQtaNfR/S1gPbRyFBtrABs740jn+MT\nZi5TfJ38exbdbRH9DvV2/NyuNCan9vmHD+iNvI0/a743VruA+/fvRyAQ+NlMEAO4GMg0NjZ++NZb\nb83/85//TIEMIYQQQiwzetzJ6FGyWLASGMWygSGgPNbs+asMNbQ0Q/R7tjsw1Mu5seu4nV3fo9rn\nX7BiD4IR9f1HhqYgLXv+KsefoaVLlwarqqpeN/t+1wIZzrn/6KOPrjh06FDvnj17ujUMQgghhHQQ\nSr9AMwDDB/RWfL3WL+VqR8nildVO8HaJxa6EkbwWO3fM9D6bHfk2dn+PSp//nrxtqq9nQMsRy1g8\nQ2+88UZlbW3te2bf70r5ZUlDQ8PbH330keEKBYQQQgghcrlDsnD1GVmtyvZyAEu2FCr2N9HqLWOl\nqaMbtHYLtPqF2M2psr3Rn2HBij24+owsxZLLTtL7bFqloEXFohGl2ufwMNYmT8zJ8t81NTXYt29f\ngHO+z+w1XNuRAYDy8vLFr7/++q2TJ09W/qmEEEIIIcSA1btLVRdj8gWlnRWr3Ka2WyD9qh6rnRon\n5lRpl2LJlkLdIMHuo3Yin82tSmMipPkorAy02nkBmj6H2jFLB5tggnP+gZVruBrIANi5ffv2uvLy\ncvTo0cPloRBCCCGkvTOyEGxPyfXRlBboavkZHsYcz1mJZuecRi+85QLBMOYuLVC9jxNH7WLxvDhV\n1lo+HxxHjpFlReXOxLL891//+tcyv9//DyvXcK38sqR79+5/mjNnziPTpk1LcnUghBBCCGmXohf2\nCYy19PGI5lYJXDmruwRqZY9P79cda38sF75OLMvrmjErfyfe2HBAsyS2XHSp6ngrhSzKqRLcIvMR\ny/LfhYWFGDp06O7i4uKTrVzH9UCGMZZxwgknfPfjjz/2ouaYhBBCCNETHQx0T/GitjGEYFh9PWPX\nYsypIMTI2NQWpB6VAE7t7+kpXqQlJdrW/8buvjH35G0zFMREy1LZ1QDcD+C05ip6B0r63tJTvGAM\nqKwLWprbE2YuU5xP+XzEqvLdnDlz6p566qm76urqXrZyHbePloFzXpGVlbVh3bp1o7Ozs90eDiGE\nEELimDwYkLq7y3kYQ4Rz4cWY3gLOjqNKeuV7Ragt0JWCFenv8vwHbwJDbWOoZe5EP4vSHAH2941Z\nsGKP6SBGGoM8B0QSq/4oSuS7TNFzBbSexzDnLd+TFKRbmVsjJavNNAM1IhwO49///ndtIBB4y/Cb\nZVwPZACgqKho/lNPPXVOdnY21WEmhBBCiCqR3i8AEOFc+Jd3kSDFjiDEjkRutR0WNdH5D9ICVKmr\nu95nUZqj6e9sRyjMFYsrTFu8HffkbTO14NWbD5HO9NE5IBKtUtxOy99aqHhULroqmPz5Uur1Yja/\nyUwRBq2dTytB1SeffIJwOLyCc15n6I0KXC2/HGXd+vXra8rLxc92EkIIIaTzEV30G/nlXaTkrR1B\niB2libWCmBSvp81/S0HE2pkXt5SUrlQJALQ+i9IcBRWCmOhxchxZ8Bop+aw2HwzAX64djLUzL8aD\nYwa1+bxyUjAT/d9qpbidprXLVFQZMPQcmakiZrQ0tBS4FlYGwNG08yk/vmm2NPOTTz5ZVlJSssDw\nGxXERSDDOeeBQOCFV199tcHtsRBCCCEkfoks+kV+aY7uq6J2XCt6wWhHEDI9p79qsCEqS+N+gWAY\nnuZ8Y62FqpnPYqUEr9EFr9I8MQCThvVr+TzRC3M1se6LokVr/o5OTzH0HJk9HicPaLV2UkR3Po0+\nF4WFhdi9e3cZ53yHoTeqiItABgAOHz787xdeeKHa7eIDhBBCCIlfSotcbwJDRqrX1C/NUj6FkugF\no9riurAyINxk0o6GidNz+quOFziSE6N1nMtMQGU1t8TIgldpnp69djAeyT2lzevWzrwYf7l2sOLn\nUdu9kr4zKw1CjTYZ1dplmp7TXziYjUWfo/ytharBvZzR5+If//hHXVVV1dNmxqXE9apl0bKysj7M\ny8u74rzzznN7KIQQQgiJU1aSjtV2YJQaBMqDDK2GgvKeHE72ojl+5jLd1yiVGY6et/RULzgHqgJi\n1bCUKq4Z4XTZY6VnQq0vish3rXcvo9XnlN4j7TJJAdqQhz5RzPuJHm9GqhcPjhlkaKxG/nfFyPds\ndN7C4TCOO+640sLCwhM457VCb9IRV4EMY+zsSy+9dNnKlSsp6Z8QQgghttMKArLSU4QWfFrH0QBn\nem+I9MqJplRW12rpZ3kgVFMfapWQ7k1g6JKYgNrG1otgp3qRiIxXKXhQmjkjgZbZHjVGK+MBTXMK\nhlb5KaLzaeY713q2vQkMXZMTTZeCfvvtt8NTpkx5raSk5CbhN+mIi6plEs75V3379v1p27ZtPQcP\nHuz2cAghhBDSwWj1WxFdyOodkzJbWUqNfEEqUrVMfuTHjqpr8tK8SlWt5EFMeooXc8eK7yDYLdmb\n0PK501O8quW6peNmIoGs2cIPWqWNpX8HYLnCnMTMd65Z8GH8aaa/x0gkgvvvv7/C5/PNMnUBzeLc\n/gAAIABJREFUFXEVyABASUnJXX/6058+/PTTT2lXhhBCCCG20uq3IkqtJ0c0K8nxcmqJ11JQpnRU\nSp5HYUfVNbnohXn2/FWKQUJaUqLQ4lf0CJSR18l3IxpCEWSkelWPb0nfqV5pYdGeLGbIg50TVHYQ\nRb43M9+52mfLSk+xFIy+88474Zqamg8450WmL6IgbpL9JZzzDQUFBT9u27bN7aEQQgghJM4YTbKW\nU6typVX9Sk4pWV4ugTFLyeTR1BaeEc6xb/4VePbawS3j9zDW8qt79H3tqLpmZowiC26lAgxKJZtF\nXweo70Zw3rZMNdD2uJlWdTM7qs+JsvK9mXmvE58tEongz3/+c4XP53vA9EVUxF0gAzTtytx7772H\n3B4HIYQQQuKHkYWsGjsWavLSv0pVxKz0UZHTW5DmDslq+VzSzpJ031n5O1vyHuTjNFp1zcoYtYj0\n8THyOkA9gKoKBHW/O71rGKk+ZzXwFn1ele5j5lm3o7KeXF5eXri6unop57zY9EVUxFWyf7S+fftu\nWL58+dlDhgxxeyiEEEIIiQNmk6zlrFQ907ueWiK+lapdIknbotXYpP+2WrlLZIyiyeEnzFymmIAv\nL1ig9joA2Bf1OkDsWdEr2mC10podBRak6xgtEiDdB4Ctz7pR4XAYJ510UtlPP/10qhOBTNzlyEhK\nSkrumjZt2vJVq1ZRrgwhhBBCbMvz0Eu6NkK+yBRprmlUdBJ4YWWg1fEx6d/Vri9f+HMoFzywWqBA\nnqguJf9L+ShaeSeiOSdqr2No+h6irzs9p79iGeG6xlDLa7W+EzuOitlRYAHQf1617qPX+NJpeXl5\n4ZqamnwnghggTo+WAQDnfOOuXbu+37Jli9tDIYQQQkgccDrPwyizzTXN0Do+lr+10ND11QobWC1Q\nEN05Pi0psVXJYED9GJjoESi1ZqAcaHNd6YhUeoq31d8r6oK6c8bQVO3snrxtlo7d2V1gQe2YmhOF\nHOwQDocxa9asCr/fP9upe5gOZBhjAxhj6xljDYyxP8n+bR9jbCdjbBtjbHPU349mjK1ijL3PGOuq\nd4/mXRnKlSGEEEJITJOsRSj9Ei4d24pm1xi1fnlXmhu1oMrDlP+le4rXcsd7idoiWiknRzQvI3dI\nlurRMqX75Q7JQlpS28NHWnPmTWBI9DBU1AV1c5z08l/UAqXusuBKhFZ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(14,10))\n", "ax = fig.add_subplot(111, projection=\"aitoff\")\n", "ax.scatter(coord[in_region].l.radian, coord[in_region].b.radian)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tables and pandas\n", "\n", "[pandas](http://pandas.pydata.org/) is one of the most-used packages in the scientific Python stack. Numpy provides the `ndarray` object and functions that operate on `ndarray` objects. Pandas provides the `Dataframe` and `Series` objects, which roughly correspond to the Astropy `Table` and `Column` objects. While both `pandas.Dataframe` and `astropy.table.Table` can often be used to work with tabular data, each has features that the other doesn't. When Astropy was started, it was decided to not base it on `pandas.Dataframe`, but to introduce `Table`, mainly because `pandas.Dataframe` doesn't support multi-dimensional columns, but FITS does and astronomers use sometimes.\n", "\n", "But `pandas.Dataframe` has a ton of features that `Table` doesn't, and is highly optimised, so if you find something to be hard with `Table`, you can convert it to a `Dataframe` and do your work there. As explained in the [interfacing with the pandas package](http://docs.astropy.org/en/stable/table/pandas.html) page in the Astropy docs, it is easy to go back and forth between Table and Dataframe:\n", "\n", " table = Table.from_pandas(dataframe)\n", " dataframe = table.to_pandas()\n", "\n", "Let's try it out with the Fermi-LAT catalog.\n", "\n", "One little trick is needed when converting to a dataframe: we need to drop the multi-dimensional columns that the 3FGL catalog uses for a few columns (flux up/down errors, and lightcurves):" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "scalar_colnames = tuple(name for name in table.colnames if len(table[name].shape) <= 1)\n", "data_frame = table[scalar_colnames].to_pandas()" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "# If you want to have a quick-look at the dataframe:\n", "# data_frame\n", "# data_frame.info()\n", "# data_frame.describe()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ " 1010\n", "bll 642\n", "bcu 568\n", "fsrq 446\n", "PSR 143\n", "spp 49\n", "FSRQ 38\n", "psr 24\n", "BLL 18\n", "glc 15\n", "rdg 12\n", "SNR 12\n", "snr 11\n", "PWN 10\n", "BCU 5\n", "sbg 4\n", "agn 3\n", "nlsy1 3\n", "ssrq 3\n", "HMB 3\n", "RDG 3\n", "GAL 2\n", "NLSY1 2\n", "pwn 2\n", "gal 1\n", "sey 1\n", "BIN 1\n", "NOV 1\n", "css 1\n", "SFR 1\n", "Name: CLASS1, dtype: int64" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Just do demonstrate one of the useful DataFrame methods,\n", "# this is how you can count the number of sources in each class:\n", "data_frame['CLASS1'].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you'd like to learn more about pandas, have a look [here](http://pandas.pydata.org/pandas-docs/stable/10min.html) or [here](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.00-Introduction-to-Pandas.ipynb)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercises\n", "\n", "- When searched for the hardest and softest sources in 3FGL we did not look at the type of spectrum (PL, ECPL etc), find the hardest and softest PL sources instead. \n", "- Replot the full sky chart of sources in ra-dec instead of galactic coordinates\n", "- Find the 3FGL sources visible from Paris now" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "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": "3.6.3" }, "nbsphinx": { "orphan": true } }, "nbformat": 4, "nbformat_minor": 1 }