{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Get Normalized Throughputs from Pandeia" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "import sys\n", "import os\n", "import numpy as np\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "%pylab inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Import pandeia and set paths" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is pretty hacky and there must be a better way to do this." ] }, { "cell_type": "code", "execution_count": 186, "metadata": { "collapsed": false }, "outputs": [], "source": [ "pandeia_code_path = '/grp/jwst/jwstetc/pandeia/engine'\n", "sys.path.append(pandeia_code_path) # required to access installed pandeia codebase\n", "\n", "import pandeia, pandeia.engine, pandeia.engine.config\n", "\n", "# Set default path to find the reference files\n", "# THis must be done BEFORE importnig pandeia.engine.jwst\n", "pandeia.engine.config.default_refdata('/grp/jwst/jwstetc/pandeia_data/')\n", "\n", "import pandeia.engine.jwst\n", "from pandeia.engine.instrument_factory import InstrumentFactory" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Infrastructure helper functions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First define some helpful functions to use below. " ] }, { "cell_type": "code", "execution_count": 207, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def get_pce(inst, normalize=False):\n", " wr = inst.get_wave_range()\n", " wave = np.linspace(wr['wmin']*0.95, wr['wmax']*1.05, num=500)\n", " pce = inst.get_total_eff(wave) \n", " if normalize:\n", " pce /= pce.max()\n", " return (wave,pce)\n", "\n", "\n", "def annotate_pce_plot(title=\"\", xlim=(0.5,5.5), legend=True):\n", " plt.title(title)\n", " plt.ylabel(\"Photon Conversion Efficiency\")\n", " plt.xlabel('Wavelength [$\\mu$m]')\n", " plt.ylim(0,1)\n", " plt.xlim(*xlim)\n", " if legend:\n", " plt.legend(loc='upper right')\n", " \n", "def plotlabelcolorfilt(wave,pce,filtname, color='blue'):\n", " plt.fill_between(wave,0,pce, alpha=0.5, color=color)\n", " plt.plot(wave,pce, color=color, label=filtname.upper())\n", " plt.plot(wave,pce, color='black', alpha=0.5)\n", " # double print text to make it a bit darker since some of the rainbow colors are hard to read\n", " plt.text(wave.mean(), 0.75, filtname.upper(), alpha=1, color='black', rotation=45)\n", " plt.text(wave.mean(), 0.75, filtname.upper(), alpha=0.75, color=color, rotation=45)\n", "\n", "def uppercase_si_name(name):\n", " # the SI name with case as typically used, and specifically as used with WebbPSF. \n", " name = name.upper()\n", " if name=='NIRCAM': return 'NIRCam'\n", " elif name=='NIRSPEC': return 'NIRSpec'\n", " else: return name\n", " \n" ] }, { "cell_type": "code", "execution_count": 208, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def output_to_fits_table(wave,pce,inst, verbose=True, filtername=None):\n", "\n", " data = [wave*1e4,pce/pce.max()] # convert wave to angstroms as expected by pysynphot\n", "\n", " (year, month, day, hour, minute, second, weekday, DOY, DST) = time.gmtime()\n", "\n", " si_name = uppercase_si_name(inst.inst_name)\n", " if filtername is None:\n", " filtername = inst.instrument['filter']\n", " filtername = filtername.upper()\n", "\n", " t = Table(data, names=['WAVELENGTH', 'THROUGHPUT'])\n", " t['WAVELENGTH'].unit='angstrom'\n", " t.meta['WAVEUNIT']=('angstrom', 'Wavelength unit')\n", " t.meta['TELESCOP']=('JWST', 'James Webb Space Telescope')\n", " t.meta['INSTRUME']=(si_name, 'Name of instrument')\n", " t.meta['FILTER']=(filtername, 'Bandpass filter identifier')\n", " t.meta['SOURCE']=('JWST ETC / Pandeia / REDCAT', 'Derived from JWST ETC database')\n", " t.meta[\"SRC_DATE\"] = ( \"%4d-%02d-%02d\" % (year, month, day), \"Date of file generation from ETC\")\n", "\n", " t.meta['NORMALIZ']=(True, 'Normalized to peak transmission=1')\n", "\n", " t.meta['HISTORY'] = ['Normalized relative spectral response file for WebbPSF', '',\n", " 'Based on information extracted from the ',\n", " 'JWST Exposure Time Calculator (ETC) system',\n", " '(Pandeia software database, using reference files',\n", " 'managed by ReDCaT, the Reference Data for ',\n", " 'Calibration and Tools group at STScI)', '',\n", " 'File created by: webbpsf/dev_tools/',\n", " ' Normalized Throughputs from Pandeia.ipynb',\n", " '']\n", "\n", " if not os.path.isdir('outputs'):\n", " os.mkdir('outputs')\n", " \n", " if not os.path.isdir(os.path.join('outputs',si_name)):\n", " os.mkdir(os.path.join('outputs',si_name))\n", " \n", " outname = os.path.join('outputs',si_name,\"{}_throughput.fits\".format(filtername))\n", " t.write(outname, overwrite=True)\n", " if verbose:\n", " print(\"==>> \"+outname)\n", " return outname\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Obtain & display Photon Conversion Efficiency for a single filter" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "NIRISS used as simple imager test case since NIRCam has the SW/LW complication. " ] }, { "cell_type": "code", "execution_count": 209, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "==>> outputs/NIRISS/F090W_throughput.fits\n" ] }, { "data": { "text/plain": [ "'outputs/NIRISS/F090W_throughput.fits'" ] }, "execution_count": 209, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "inst = pandeia.engine.jwst.NIRISS(mode='imaging')\n", "wave,pce=get_pce(inst)\n", "\n", "plotlabelcolorfilt(wave,pce, inst.instrument['filter'])\n", "\n", "annotate_pce_plot(title=(\"{} {}\".format(inst.instrument['instrument'], \n", " inst.instrument['filter'])).upper(), \n", " xlim=(0.5, 1.5))\n", "output_to_fits_table(wave,pce,inst)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Iterate over all filters for an instrument" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Instruments that do work - NIRISS, MIRI, NIRCam " ] }, { "cell_type": "code", "execution_count": 210, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "==>> outputs/NIRISS/F090W_throughput.fits\n", "==>> outputs/NIRISS/F115W_throughput.fits\n", "==>> outputs/NIRISS/F140M_throughput.fits\n", "==>> outputs/NIRISS/F150W_throughput.fits\n", "==>> outputs/NIRISS/F158M_throughput.fits\n", "==>> outputs/NIRISS/F200W_throughput.fits\n", "==>> outputs/NIRISS/F277W_throughput.fits\n", "==>> outputs/NIRISS/F356W_throughput.fits\n", "==>> outputs/NIRISS/F380M_throughput.fits\n", "==>> outputs/NIRISS/F430M_throughput.fits\n", "==>> outputs/NIRISS/F444W_throughput.fits\n", "==>> outputs/NIRISS/F480M_throughput.fits\n" ] }, { "data": { "image/png": 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LCdmeREhTzcCiYuC7TGC+HdDTCVhraeHNhjztIL3INN7vdLOxF5nGs4H3h0Zoc3gQektg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\n6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RxdqIX1uYkMgrye4167URiswHS8mTP6lsrRTWVrX6CUSwaD9qtUzi4CLFliiFclT9mq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\nOXhx8K1xFnN5OJvcJmUILD44eevw+cHGa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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "inst_defaults = pandeia.engine.jwst.NIRISS(mode='imaging')\n", "config = inst_defaults.as_dict() # get default config\n", "colorseq=iter(matplotlib.cm.rainbow(np.linspace(0,1,len(inst_defaults.filters))))\n", "\n", "\n", "plt.figure(figsize=(8,6))\n", "for filtname in inst_defaults.filters:\n", " \n", " config['instrument']['filter']=filtname\n", " inst = InstrumentFactory(config=config)\n", "\n", " wave,pce=get_pce(inst)\n", " plotlabelcolorfilt(wave,pce,filtname, color=next(colorseq))\n", " output_to_fits_table(wave,pce,inst)\n", "\n", "annotate_pce_plot(title=inst.inst_name.upper(), legend=False)" ] }, { "cell_type": "code", "execution_count": 211, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "==>> outputs/MIRI/F1065C_throughput.fits\n", "==>> outputs/MIRI/F1140C_throughput.fits\n", "==>> outputs/MIRI/F1550C_throughput.fits\n", "==>> outputs/MIRI/F2300C_throughput.fits\n", "==>> outputs/MIRI/F560W_throughput.fits\n", "==>> outputs/MIRI/F770W_throughput.fits\n", "==>> outputs/MIRI/F1000W_throughput.fits\n", "==>> outputs/MIRI/F1130W_throughput.fits\n", "==>> outputs/MIRI/F1280W_throughput.fits\n", "==>> outputs/MIRI/F1500W_throughput.fits\n", "==>> outputs/MIRI/F1800W_throughput.fits\n", "==>> outputs/MIRI/F2100W_throughput.fits\n", "==>> outputs/MIRI/F2550W_throughput.fits\n" ] }, { "data": { "image/png": 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RMsaiUd/kgzQvTrNmTZd16LDKrNWeKt66Na94+/YM/fXrE8Vubv1dFizYY6qu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\nBABuOt8Zbo/XPd3W4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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "inst_defaults = pandeia.engine.jwst.MIRI(mode='imaging')\n", "config = inst_defaults.as_dict() # get default config\n", "\n", "plt.figure(figsize=(12,4))\n", "colorseq=iter(matplotlib.cm.rainbow(np.linspace(0,1,len(inst_defaults.filters))))\n", "\n", "\n", "for filtname in inst_defaults.filters:\n", "\n", " config['instrument']['filter']=filtname\n", " inst = pandeia.engine.jwst.MIRI(mode='imaging', config=config)\n", "\n", " wave,pce=get_pce(inst)\n", " plotlabelcolorfilt(wave,pce,filtname, color=next(colorseq))\n", " output_to_fits_table(wave,pce,inst)\n", "\n", "annotate_pce_plot(title=uppercase_si_name(inst.inst_name), xlim=(3,30), legend=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For NIRCam - note the no-longer-present F225N and F418N should be ignored. Will be removed in next Pandeia update. \n", "Missing the W2 filters also." ] }, { "cell_type": "code", "execution_count": 212, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "==>> outputs/NIRCam/F070W_throughput.fits\n", "==>> outputs/NIRCam/F090W_throughput.fits\n", "==>> outputs/NIRCam/F115W_throughput.fits\n", "==>> outputs/NIRCam/F150W_throughput.fits\n", "==>> outputs/NIRCam/F200W_throughput.fits\n", "==>> outputs/NIRCam/F277W_throughput.fits\n", "==>> outputs/NIRCam/F322W2_throughput.fits\n", "==>> outputs/NIRCam/F356W_throughput.fits\n", "==>> outputs/NIRCam/F444W_throughput.fits\n", "==>> outputs/NIRCam/F140M_throughput.fits\n", "==>> outputs/NIRCam/F162M_throughput.fits\n", "==>> outputs/NIRCam/F182M_throughput.fits\n", "==>> outputs/NIRCam/F210M_throughput.fits\n", "==>> outputs/NIRCam/F210M_throughput.fits\n", "==>> outputs/NIRCam/F250M_throughput.fits\n", "==>> outputs/NIRCam/F300M_throughput.fits\n", "==>> outputs/NIRCam/F335M_throughput.fits\n", "==>> outputs/NIRCam/F360M_throughput.fits\n", "==>> outputs/NIRCam/F410M_throughput.fits\n", "==>> outputs/NIRCam/F430M_throughput.fits\n", "==>> outputs/NIRCam/F460M_throughput.fits\n", "==>> outputs/NIRCam/F480M_throughput.fits\n", "==>> outputs/NIRCam/F164N_throughput.fits\n", "==>> outputs/NIRCam/F187N_throughput.fits\n", "==>> outputs/NIRCam/F212N_throughput.fits\n", "==>> outputs/NIRCam/F323N_throughput.fits\n", "==>> outputs/NIRCam/F405N_throughput.fits\n", "==>> outputs/NIRCam/F466N_throughput.fits\n", "==>> outputs/NIRCam/F470N_throughput.fits\n" ] }, { "data": { "image/png": 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2uhJmAOBvNxZBU7IGJYUH4OLRFtlpP/HG+K68Ie5x3Lj6G5zdI6ur7QcRFP3m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\nvA/AUM39I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XKvrk6kw/9FCIjwmJPAr1poRaCytu4STYlhzkap82AZ7NAnbFMNYjF3ipGrjU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/GYuUIyuzbpKzAkBbPSm+oWtqWBNU8727CeGQB0s10lz+XFpXiq6Fg6ndgLyn5qQnJ8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\n0su/mWZk4tlOK89qgQ2RgAgYv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mpu1ZeURz5r4LZh2gGivHAAAaNnUsjZzzGv0ncR3gHiGDbn7AHwB42UPRADNN\nXL6f7nt4IZq3WgPmHCnJEN6KmTbmIdXqt7bN/Onr0198OzPtudeTkxc+y0df/8Cl2x3bWHMVAkDs\nwxOeaj1n0otqgH+qJMx1y4BHhk1s3DHyxwFzho0FgOzUjHjW2Rkc1eSNPpNuDdy8ZN2Owqz8jwNb\nhF3fL35w9JZlH+2WhNk7I6ZdNzGmXcSP9025dvQjw7pNvCwvt21h0tHMiMjQy2359m9anjhzypZv\nf+Nos7BkTWdt3vDuswAg8e4eNfq5UJ94kzSnAvgGgAlAgOcR6MVxLQCkFVtO96y7CBFFA4gB8J0X\n5xWiXhlIcxOi0H99CKJX9aeEa4vW/x9PvT4LR3Y3Q49F/Wh6v6tpwQorwttocB4p73yVEdNjTkJw\nRL/1loCoVVFdp59rO23Xsp9Yd+Vag9t/0bzDKIPBFDJKNQaEg7XT1dV2STR82lTEdnoSmisL4c2v\nooeW7gYA/uzl/KJyDF72UDQaNYlCm25TkJGeyJ+8kFtT8YiGJSb+wakBce0e1fJt2ywtm/Vv+/jD\nF3yFzMyFYGitZk181r9dqwddOXkfJC98tubKj0SVqEZDS1OAJcwSbL3uqtlDR29atHZT3smzr6gm\nQ2hY+xYb+069vYlqMraHrmtg2H0db32iGtSWFn9TWECw3w1OP/Mt/hZDaHie7Vje7jRb67jmb6ZG\nhIUFBVtm+PmbwjPzHQeCrKb+AJD4znb5f+JhqGgHZk4EACIKYOa8v9heWRd+GIAPuexakRAiSiy2\nvJGZN/7FWISocb1pcnhjdLg3Ewd/cKHwaCBazO1PCdjEC78BgPU8tsd1tOgDf0TMsCCk4wlsu2cL\nL6mWntWWnSaG+4e0v7cg5+APumY/arY2nxvVdTqKhpizFxyf5xfY+tWQiP7pIEXNy9w1InXXsh0V\nnbcq6PaxnRHbaQqS987i95aupntmxCMi8jDdOfFmmCzred3qQgCgoVMeQJuuLuzfdhuveearmohF\nNDxR40fG+ce1m5q398CclKXPr46ZOuaooVHw0NjpY2dq+QXLtXybSw0KgCWmZTc1KKBlzvbdt6c+\n8+olW5dZl2kOV5rL7sxnBvuHBw3tP+OOI6zpW3OPZ54JahE2s0nn6J8NFmPAyV0pozcvXXfC1/HW\nJy6nlua0a/kA2BXg19Lm1HUCtCZZOXtT92sBzRtbP7WE+DdJPnj6/qhcu/XytuGvTbm1U4tgf9Ox\nhpw4E9FHWGLlAAAgAElEQVRAAAM9izEAssrc14ua5r4AXgYQyMyRRNQNwBhmHlfBcb0BJDLzDZ7l\nmQB0Zl5Yyr7bAIxj5ou+YpGaZlFf9aVpcVt46d5+FN9Jg+ukAeYrrAj/jwpzeC7SH9/Eiy5ICvvR\nDGu1jZLRZUpc2q7le6O6TO2k666Timq6wmgJ/4+imMPttqOPp+5ccq7tqK7TejPrx9N2La+2Hu7i\n6PaxHQDkw+x3C7+37Fm6Y4IVTocLsZ2ScDJtJb+7ZMW5fYdO+Tecjn3VMQ6z1DRfGqLGjejAmn6U\nVLVd6ur//h41/v62IX0v21WYdmybYjaH6k5nfsGhlH+mvfDW8fZLHtlRmHZ81pGnX/7C13GL8/pN\nGxy3eem6vQBwxYR/+gdHNn41/1T2EmtY4Di/sKArVLMxMGNnyvWbl67b22fyrdGkKAVFNc+ifMPG\nDYx7b/XGvQAw6c5uPe1xkQlZp/OWBAaYH4oqKLjV1rSRw/rn0R+bBJja+5nURlvTc+9a+cGOTQAw\n8ea40JWf7c307SuoXRXlnBX2NANYAeAGAJ94TvQHEQ3w4ritANoSUQyAYwCGAhheSoDtATQqLWEW\nor4aQHPjm+GyGX0pvp8Dufu38gsuAJ/3pwRY0XhUIFrO7k2Tdhrhf52Gwm1beNnu6kqYY3rMjg8M\n6zkjssvUfpozd/+xpJdcAD6P6hoPo6XxKLO1xezIzpN2K6rfNbpu35q2a3mN/d+j4fHxaNNtOg7s\n6ImCvHUAALO1gNesYhr9WDJ0zQZ4kmXN+R6vWfVqTcUiGp6Y+LHxAd3ipufu2Ntby7f9AQAgNM/Z\nvntWypLnlwFAx2ceSzE3i1gFYEh+0qF+Mg5z3TJw7vD4Zj1bT+8XP7i/Pbcg2RzoZ/KPCOmdfyo7\nw1XoPBTUMuye3KOZyarJ0BPA3p9WfFIjf9w3RCPi/x7ftmvL6cPGD+zfNjPrtl7RITN2Woz2HIdr\npman1OYWNSgJdDiHSbss3L/t0TO2ZCvr58poL7WE2RteTW7CzKklVrm8OMYFYAKArwDsBfA+M+8j\nokdL9AANg9wAKBqQAfTI5DC0nXIa+57YwksOmBBw7o/TTbzwcxtOveJA3p8t0GtHDK56laBaq6vt\nmO6zJ/sFtZliy0p6Im3XsgOq4XzbqTuXfO4sPP2K5sr7MzD8sm0hTa98laAEVFfbJdHw+Mlo0WoK\n0g88xR8/fxSqwT2kZOZJFQCgGqxQ1CC6J2EB2nZbCV1vU1OxiIYnJv7BydZWUVNsB5KfTHvu9WTV\n32oAANXfuillyfPLWoy4ywAAjowzG9mlZQMycUldM/CR4ZND2zafcjop/cnNS9YdUI2qefOSdWez\nU0+9H9C00TMRXWMSjm87/EJBZu4Ov7DAO3tPvEUmN/LSiPi/T27ZKnxK6sGMJ9ueybqpbbPAKUnp\n2Y+fyip4J7hp8DOx3aInHThbsC04NcPytxYBt209dOa/mXn2HeGB5rsn3hwn17kMXt0ISET9AICI\nzEQUD6DUYeNKYuYvmbk9M7dh5ic96+YV/4qUmR9l5llVCV6IuqYvTY2MxaDlmTj47Pe8YEVfiu8T\nitZb+lJ89OU0xgAAm3jhZ0b4xRjh55+M727azIt/rY62IztPjgxpNmB5Qc7hZ1N2PL4issvUPn5B\nrbZEdpkS3bzDKAMApO5c/Jmi+sUoqp//2eMbbkrdtbRa2i6Jbh8bia79luNY8rP87tLlNHh8HzSL\n2UKDx0ef28npOI2WbaajadS/kfT77bxu9c6aiEU0PFHjRkQ26t9reUFK2rMpS55fETV+ZB+/2Mgt\nkQ/eF5288FkNAI6+/oEr9uEJiyxRzf/pysmViUvqmL5Tb4+MGdRl+dmDx5/duODdFf3iB/dpHBf1\nY5/Jt4azrueFRDe56sQfyfO/nfPGQ/mncxbmHs+c+vPKT6Xn0wtDxw6I7NGv9fKjyWeeDTt4dO2g\nrk2X79VUTgoOesuYnRfS0ZZ//eFtR5ZY8gs/aRdiDtp+JHvp3De3jT6dXbjw+NmCqdLDXDZvapob\nA3ga7vGWCcD/AExk5jM1H57UNIv6ZwA9MrUx4madwI4RjdHxuVyc+O4bfngkAFxOYwwmBAY2Rdc9\np7Bv3I/85MfV2XZM99lTrSEdZ+Vl7hjhH9LxObvtxHeHt84eCQDNO4wyqMbAwIDQLntsWfvGHflj\nUbW2XRINnzYVUe1n4dCuEYhq/xwyT37H/10w8tz2+2auQHT7B5D0+6285plqHxtaapobtpj4B6f6\nt2s9K2930ghru1bPOU6e/u7QguUjASBy7Ihg1er3b2ubmBn5+w78+8jKV770cbiiFAMfGTa1cVzU\nrOM7Do9o3DHyubzjmRu+nvn6CADoO/X2DluWfZR0+Zh/GLa+8GWF326LC42Ydt3U6PYRsw7uOjYi\nxqq8GcdO665DmUM6RoU8l5ZZ8Psjr2+9/ZYRfQxtsnPaLPt4T9KYG9obXvi//Zf8df7L4zQz8ylm\nvpuZmzBzY2a+p7YSZiHqo+95wbJT2Du/Da5fn4eTm7/hh0deTmMMgyiRAtFM28JLzp7AH62qO2EG\ngJQdjy+zZe2dH9ri7+sdBRmbD2+dPbJ5h1GG2J5zyWxtpqXtWnY278zOVjWdMAMAv7t0GVL3z8dl\nV69H1qnN/N8FI+kfIwx0zwx3eUZh/nrs/bVvTSTMouFLWfL8svw/D80PvbrfesepM5sPLVg+ssWI\nuwyxCeMp7bnXs/XCwm/zdu+/ShLmumvjgveWZexNnd/m+p7r809mbf565usj+s8YYh2UeA+Zg6z7\nASCwWajm6zjro9eXfr3syP6T83td3X59psXy1f7UrBnXX9Zi/cmsgs2HI8IGzxjSxXpjUz8tyGra\nDwDNQq1ynb1QZk8zESUw80IieqaUzczME2s2tHNxbPQ0OLA22hOiulxFs8c1Rfcn07Al7idefrQv\nTbNs4aWFtdF2dPeHxwWEdnsyJ+PnuLTdTx+N7DzFkrZ7ea20XRINnTIOrTo/iX2/xfHHzx+lweMs\nRUPM1Wi70tN8SYiZOnpcQOcOT2b/uiMu7fk3jkaNG2lJXf1fn7zXRdVcNXvouGbdWz2ZumVf3E/L\nPz7ae9Itpp+f/tTh67gagvumXDuuTecWT+7+LSWuXWbWrd1bhT65ZV9G3PJP9hyddEuc6elP98p1\nLqainLO8pPlmZv6MiEbiwvGVyX0+fr1aIy2DJM2iPruK5kxqim7z07C560+8olbv+o7uPnNSQGi3\n+Tknt3RN27PSp3ec07Cpk9Cq83zs/aUrf/xCrcQiSfOlI2bamEkBnTvMz/5lW9e059+U0RXqoQFz\nhk1q2i12furmvV1lhIzq9a+p101q07n5/F2/JHdtn5V9W7fY0Pmb92V0XfHJHrnOJVQ5aa4rJGkW\n9d1AmpsQjrjpZ7A/YgPPq9WvwGJ6zEmwhnSYXpD9Z0Tytvk+/fqN7o5PQGS76Ug/GMFvL6rxWCRp\nvrTETh+bYG3XarrtYEpE0c2Aon4ZOHd4QuO4yOmn9x+N2DDvbfkZVqOR8X9PiG4XMT31YEZEZNrJ\n+LjI4On703Mi5r2zXa5zMX85aSairwHcycxZnuVQAO8y8/XVGmnZ7W8EJGkW9Vtvmhz+M6+osSmq\ny9Oy08Tw9D0rfdJ2SXTbmHD++IVaiUWS5ktP5IP3hac9/2adeK+Lqukz+dbwn1Z8Ij/DGnDnmKvC\nP3zhh9MAMPnWuPAVn+yV61xCdSTNO5i5e0XraookzUKIqpCkWQghRGX85dEzAGhEdG5sVc8Mf/pf\nD00IIYQQQoj6wZtptGcD+JGIvvcsDwAwuuZCEkIIIYQQom6pMGlm5v8jossA9PasmsLMUgcjhBBC\nCCEuGWWWZxBRR8+/lwGIBHDM84giop7enJyIbiCiJCI6QEQJZexzFxHtIaLdRCRTnQohhBBCiDqn\nvJ7mqQBGAViKC8dpLjKovBMTkQpgFdzTbx8F8BsRfcrM+4rt0xbAwwD6MnM2EYVXMn4hhBBCCCFq\nXHlJ89eef//NzIercO5eAA4ycwoAENF7AG4FsK/YPqMArGLmbACQsg8hhBBCCFEXlTd6xsOef9dU\n8dwtAKQVW073rCuuLYD2RLSJiH4ioloZ+1kIIYQQQojKKK+nOdMzsUkrIio5tikz8y1VaK9kmYcB\nQBu4R+SIhHuUjs5FPc9CCCGEEELUBeUlzTcC6AngTQBLAFCxbd7MvZ0OdyJcJBLu2uaS+/zMzBqA\nFCLaD3cS/XuJ/UKIKLHY8kZm3uhFDEIIIYQQQpSKiAYCGOhZjAGQVda+5SXNrzDzfUT0EjN/X85+\nZdkKoK1nMpRjAIYCGF5in48961733ATYDkBp9dNZzJxYhRiEEEIIIYQolacTdiNwLoEuU3k1zZcR\nUXMA9xJRaMmHF0G4AEwA8BWAvQDeZ+Z9RPRo0fS2zPwVgDNEtAfAdwDimflsha9QCCGEEEKIWkTM\npVdaENFEAGMBtIK7p/gCzBxbs6Gdi2Ojp72BtdGeEKJhKPrjvDhmLnl/hhBCCAGg4pyzzJ5mZl7J\nzB0BvMbMsSUfNRKtEEIIIYQQdVB5MwJeDQDM/CARxZbYNrimAxNCCCGEEKKuKK+meWmx5+tKbHuk\nBmIRQgghhBCiTiovaRZCCCGEEEJAkmYhhBBCCCEqVN44za2I6FO4JzWJLTEroNwIKIQQQgghLhnl\nJc23Fnu+tMS2JTUQixBCCCGEEHVSmUmzTFMthBBCCCGEm9Q0CyGEEEIIUQFJmoUQQgghhKiAJM1C\nCCGEEEJUoMKkmYjaE9FLRPQ1EW3wPL7z5uREdAMRJRHRASJKKGX7SCI6RUTbPY9/V+VFCCGEEEII\nUZPKGz2jyIcAngPwMgDNs44rOoiIVACrAFwL4CiA34joU2beV2w3BvAuM0+sVNRCCCGEEELUIm+S\nZiczP1eFc/cCcJCZUwCAiN6Dexi74kkzeR5CCCGEEELUWd7UNH9GROOJqBkRhRY9vDiuBYC0Ysvp\nnnXFMYAhRPQHEX1IRC29jFsIUUfRPTOIZr26hh77sJmvYxFC1F1DP5z5xs0vTDji6ziE8JY3Pc0j\n4U5u44utYwCtqtBeybKOzwC8w8xOIhoD4HUA15RyXAgRJRZb3ijjSAtRR8X1ug17fx2CVp1TcOHv\nDSGEOCcvI+tG26nssHu/eNT01o3zHL6OR1yaiGgggIGexRgAWWXtW2HSzMwxVYwjHUBkseVIuGub\ni587s9jiywAWlnGuLGZOrGIcQojaZMu7FgBgL7jMx5EIIeowdulmACCFrgPwuY/DEZcoTyfsRuBc\nAl0mb0bPMBHRJCJaS0RriOghIjJ6EcdWAG2JKIaITACGAvi0xLmbFlu8BcBeL84rhKjLNFczGM0a\nXM4IX4cihKib7vrgYcWRV+AX2Dwsy2mzD/B1PEJ4w5ua5ucA9ATwrOf5ZZ5/y8XMLgATAHwFdzL8\nPjPvI6JHiehmz24TiWg3Ee3w7Duy8i9BCFGnsB4EP38HXE5/X4cihKibApuFtgaAwOahp502e1df\nxyOEN7ypaf4bMxd/Q39LRDu9OTkzfwngyxLr5hV7PgvALG/OJYSoJ3QtEH4BBbDb/HwdihCibnLk\nFVxmCvQr9G8cnJF7LLOtr+MRwhve9DS7iKhN0QIRtQbgqrmQhBBV0e2GL6zdb/zG7Os4oGkBsFgL\n4HL5PhYhRJ2kOVydzYHWgoCmjVLsObamFR8hhO95kzRPB/AdEX1PRN8D+A5yR7wQdY7DduK3/Myd\nGb6OA7rmB5OfDax78/tFCHEJchU62piD/GxBLcIOuQodlhHfPN7E1zEJUZEKP9SY+VsA7QBM9Dza\nMbNX02gLIWqP034mxmk/G+Tz3maXywKzXz50XfVpHEKIOstld0Wbg6y5ikHVzUHWAt3pus7XMQlR\nkTKTZiK6xvPvEAA3AmjjedxERINrJzwh6pfh9Mmcf9HXHXzRNrPmTlJZ9+1Qb6wZYDLboLskaRZC\nXGTEN483t53O7mwNDzoBAJYQf5vL7uzh67iEqEh5NwJeBeBbADfj4klJAGBdjUQkRD11L30RfRzb\nF4SjfX8AN9Rm24P+4yTWnQaDKbhA1+0dAGypzfYvwGyAwWiDJj3NQoiL2U7nvKnZXX5hbVtsAwBz\nkDVfs7uqMmGaELWqzKS5aJQLZh5Za9EIUY+5ULgAAFSY0irat7rZsg8aWXcqqjnMzroWVtvtX0DX\nVRjNBdA18mkcQog6yZFX0Cp2UNctpgCLDQAMFpPdabOH+jouISrizeQmk4goiNxeIaJtRHR9bQQn\nRH2iwRkAAAzdWtttOwpORBAZWFEtTrDm2w8f1hWYzDawrtDMV+RmQCHEBTS7K8BoNecULasmg013\n6SG+jEkIb3jzgfYfZs4B8HcAoQD+BeCpGo1KiHqIofl7/g2u7bZ1rbAJKUYXKUYXsxZU2+1fGIyu\nQDXYQcQIDgv0aSxCiDpHczj9TIF+2UXLRj9Tge5yye8KUed5kzQXfcV6E4A3mXl3DcYjRL2lQw8w\nwk/T4ar1pBmsNyLFyESqDsBS6+1fEAsrUA0uKKoOvfb/gBBC1G2aSzOoJoOtaNlgNuXrTq3Wv6ET\norK8SZp/J6L/wT2Cxv8RURAAvWbDEqJeMhrg59Kh+6Kn1wIinRRVY9Z9OxMf6woUxQlFZei69B4J\nIS6kMykG1VG0aLSa81wOl2//2BfCC+VOo01EBGAugMYADjGzjYjCANxfG8EJUb+w0QiLU4ez9ntM\nSLEQFCYy6Kzbffvh4y7PcEJRdBDJB6EQ4gKs64pqPJ80KyZDAWtaufmIEHWBNz3NXzDz78ycBQDM\nfIaZd3pzciK6gYiSiOgAESWUs98dRKQTUU8v4xaiLjIoMLkYmg8mF2EziJgUg8bQfZ00E1SjA4rC\nYJavXIUQ58zH5wrrTKQqzqJ1BpOhkDWWISpFnVdu0szMDHd5Rq/KnpiIVACr4B6vNg7AcCLqWMp+\ngXDPNPhzZdsQom5hgwKDi+GT8YnNRIoOUl1g9ll5Bn1xmsAawWBwghRdkmYhRAkG1plUo0ErWqEY\nDXZd0yRp/ouWr33w2hUfjW3n6zgaMm++DukN4F4iOgIg37OOmblrBcf1AnCQmVMAgIjeA3ArgH0l\n9lsAYCGAeJy/6VCIeofBqgpVY9R+jwmzbgYUJlJdzL7o6T5H9fQ0u0DS0yyEuIjKOpNiUFznVpgM\ndt0lkyFVVfzSOw3NokJv2LP1yKd+AWbb0zSuxaTbVmdXfKSoLG/KM64H0BrA1XDPDngzgFu8OK4F\ngOKTPKR71p1DRD0AtGDmzz2rSpt5UIh6glWC6gLYB2MTs5lIYSJFB2Cs/fY9jh1WwEzu0TMUBvu4\nVEQIUafYTueozDqRQT3X02wwGwtY02k+PpeOs0pa9N4oU35uYd7u31I+69639faAIIsjJ8u20Ndx\nNVQV9jQzcwoRXQmgDTO/RkSNAQRUsb1zSTERKQCWAxhRbHtZ/2FCiCix2PJGZt5YxRiEqBHunmaD\n5pPyDIYJRAwoGtiHtYH2QiuIGIoCKIrmy1IRIUTdY8+xWYkUVpTzfQsGi9Gp67pybOsBFZfDVc7h\nogRFoRtUVcHf77xsbbPo0N1Gs+Haw/uO3+TruOoTIhoIYKBnMQZAVln7Vpg0e5LVywC0B/AaABOA\ntwD0q+DQdACRxZYjARwtthwIoBOAje5BOtAUwKdEdDMzbytxrixmTqwoViF8icEKQXWwb3qaTQSF\nSVE0gE21376H3eYPRXH/cUwqg1l6moUQ59jzCvxJpQu+VSZFYUVRdF3TgwBk+ii0eklz6Z2sgWZb\ni9jw3QDQpHnw/p0/H77c13HVJ55O2I3AuQS6TN58uN8Ody1yvufkR+FOeCuyFUBbIoohIhOAoQA+\nLRZkNjM3ZuZYZo6F+0bA0hJmIeoFhm5Q3DXNvkiajSBFBxQdYN8N3aS5rCDV/YGoKDoAX9ZXCyHq\nGN3h8ieii0oxSVXYWeAI9UVM9ZnTqUVZ/EyFRcthTYPSHXaXcckHoxv7Mq6GypsPdzszn5vMhIj8\nvTkxM7sATADwFYC9AN5n5n1E9CgR3VylaIWo01hRYHAwtFpPmpnP1zQz6z5MmrXzPc3uIeckaRZC\nnMPMfqQqFyXNiqrorPlkYqh6zeXUmpn9jPaiZUVR2GwxugxGtUPx/bYsvkm+9asG3ny4f0hEL8Bd\nVzwawLcAXvbm5Mz8JTO3Z+Y2zPykZ908Zv6slH0HSS+zqM8YuqLA6PTRjYAmQGGQovmm/XNxmD09\nzHD3fEtNs6gZV5/ZQz0+ea29r+MQlaO7dCsV/Y4ohgyKDmZJmivJ5dTCzH6mguLrzBaDw+nQWgHA\nhiduML8/Y+Dn/9t+tODjOdcs8k2UDUeFH67MvBjAWs+jHYBHmHllTQcmRP3DigLVqUP3UXkG6QTy\n7Y2AzP4g5Xx5hq5LT7OoEWe+/fHBrM2/JbVf/MjJrm+vmuXreISXmC2kXFyeoRhUnZm9Kf0UxTCz\nv8GgOIqvM5mNDpdTiwKA0zn2d8/k2q+6oWeLzQeO5Tz08ZxrqjqQg4AXSTMRTQWwl5njPY+vayEu\nIeod942ABieg1/6wScxGIndPsy/GiS4Wh/VcT7Oi6GAf3pQoGjQtz3YdADhOnWniysu/3tfxCO/o\nLq30pFlVdd2pSdJcScywqKpiL77OZDE6NJfWFADO5Bb2692h8U+9OzT5pnGQOd/u1D7wTaQNgzc9\nYkEAviKiTUQ0nogiajooIeojhk4qjA4G13rSzGADSNWJVN+WZ+ia+XxPs6rL6BmipugOZ1Rwr+67\ng3v33MVOV5iv4xHeYcBCSqk1zRozSy9oJbHOJsVwfkpyADCaVJeuu0tdsvOdIc1DrYcB4PqeLdYm\nn8y97tvHr7/SF7E2BN6UZyQycycA4wE0B/ADEX1b45EJUc+wuzzDwb4oz2DdSCB3TbNvyzOs54ec\nUxisS0+zqBG63RGuBvhnqv7WHNY0mXmynmBNN5fW00yqorPOXg00IM7TNd2sqheWZxiMqkvXOfCL\nxOtMhU7NGB5kzgCAZqHW480aWc/mFrhkMIYqqsyHewaAEwDOAJChTIS4iE4KjHb2RXkGYIR79AyN\n2afT0ZqhqJ7yDNW3sxOKBk0vLAw2BAZkKkaDDZrMPFlfMLOpjJ5muXG4CnSdDRclzQbVoet6oJ9Z\njTUZFN2gnr/xMsDPUOB06VG1H2nD4E1N81gi2gj3qBmNATzAzF1rOjAh6hsGK74qzwDY6J5CW/HR\nNN5FYegW96gZKJoRUG4EFDVCsxVYjaEhJxWzuUB3ueQbjXqCdbaQQhePnuHuaZZvDCpJ13WjwaiW\n7Gl26BoHOF16K4tJvaB0w2oyFDg1Xcpsq8ib8VxjAExm5h01HIsQ9RpDJ884zbVf08xsUBSVyV2e\n4cOkmS0o+uqVSG4EFDWi+5oXrexwGI2hIRmuvPxG7NLkfVZfMJdXniHfGFSSrrNBNZSSNOu6n9Ol\nR5pLJNR+ZkN+Rnah3ANQRd7UNCcA2EVEzYkoquhRC7EJUc+wosJcyGAaSIm1nDi7ZwQkUjQflYe4\n6br5fE+zymBdyjNEtWPmnoqfxUkGg66YzTZ2uXw3oY+oFNbZXNo4zYqqaKxLmU1laS5dVQ1KYfF1\nBqNq1zW26IxQk0HRim+zmtU8h0uXUUqqqMJfNET0EIB5cNc0F7/4XWoqKCHqIwYTQdEIxOHoaAZQ\nWOFB1da4bgQUHaTWgZ5mtXh5hiTNotqxw9ld9fcvAADFYi5glyZJcz3Bum5WSpkR0JNIS9JcSbqu\nq0aTemHSbFLturvOP0BV6IKk2aAqdl169KvMm180kwG0Z+YzNR2MEPWZuzzD6CQobISfBbWZNAMG\nItKIVF/XNJvOT6MtPc2iZuiF9t6G4MA8ACCDaofuiwmFRFUwwwS6uKZZMai6Ljd0VsoPp5eRrrFq\nMKoXjNNsNKoFmqabdGZ/Q4lefZNBKXDp8nu5qrz5RZMKIKemAxGivnMnzYqLoECFqVbvAmewAVB0\nItXF7NMEwgTF83Wge5xm+eUsqp395OlbrK1j9gKAYjIVslb79xGIqmFdNylqKeUZCmlyD0SlqZpL\nU4xGQ8maZrvm0k26zn6qemFPs8mgFGq6XOeq8ubDNRnABiKaSUTTPI+p3pyciG4goiQiOkBECaVs\nf5CIdhLRdiL6kYg6VvYFCFFXMJgUGDSCwjpctTt0ErNKpOggRQf7sKaZ9WKTm0h5hqh+PT55zV/L\nzfP379DmFwBQzCYHa5rS+dVl0ttcHzCMKO1GQIOqsy6j7VSSQddYMZovvNlPNagOXdNVZvipJUYq\nMRtVm0tjKWeqIm97mr8BYAIQACDQ8ygXEakAVgG4AUAcgOGlJMVvM3NXZu4BYBGAZZWIXYg641EC\nAToRVI2gMEGt5a8Zi24EVJ3s0/IMNp2fRluVpFlUO8XP0pxUlRWTUQMAUhQmVWFDcKDMJlcPsK6b\nlDLGaWYZorKyDJqmk9livKA8w2BU7DqzQWe2Gkr0NJuNaqFL8+lY/vVahX9tMHMiABBRkHuRc708\ndy8AB5k5xXP8ewBuBbCv2LmLnysAwEVf2QhRT5C7p1nVCKQDtfv1F7Oukmf0DJ/2NOtsgqIWzQgo\nSbOodkQUjJI3kqmqTkZjEKSUsO5jmEobp1kxqBprMoNoZZw5mWMBANWgXnA9VVVx6horzPAzqIqr\n+DY/k2pzStJcZd5MbtKFiLYD2A1gDxH9TkSdvTh3CwBpxZbTPetKnn8cER0EsBDARO/CFqLOURg6\n3OUZKjP0Wh6knw0AaVBUDT6ZXKUoDL1YT7PiAuvyNaCoVqzp/iWHLCNFYeh6kK9iEt7Tdd1IpdQ0\nk0IaM6SnuRLOnsoLVdSL/wBxDzmnK8xsVRW6OGl2sZJ4d3e5D6AKvPlAexHAVGbeAABENNCzrm8V\n2i0YOYIAACAASURBVLvoKxlmXg1gNRENB/AIgJGlHBdCRInFljcy88YqtC9ETVE8k5toBGKgln/5\nMwxEyv+3d+9Rst1VncC/39/vnFOPft17k5vcPG7okFxjAsSEkASDMBdlICg+lmAQzagZh7V8oI4O\nArJkDOOsNePMMMwDB0aNDoxLMeJjCAsGVIgC0UBiQshLiCvJ5BLyvs/urqpzfnvPH6e6b3XVqe6q\nutWnqjv7s1avVNU5Ved3O9Wndu2zf/vXaE8EnOTJMO7o0xygVjtnxkxlBl2X9+m9aAjWe3Z7iMne\nmmYX+UzFMs3DyNJsIYp8z+8ySqKmiHhRVLrLM5LYB+eAV16ybx7A0dIGO8Xace3B9t1FAEf67TvI\nB1p9NWAGAFW9leTMAM87BGB/x/39AL6xwf5/BOCDfbYdWS0TMWYaHcYjbPdpljzTrOVOBIQ40Ae6\nOJ18prl9qdB7sUyzGTdVne3JNHunULWgeTtQrRRmmr2Vcw0rS8NsUSeSOPENEaWoVrozzQAQOSdB\n9DRY0Awgj2sB3AqsBdB9DdQ9g+R7SC6SPJ/kryLvqLGZOwAcaD8vAfBmAB/v3IHkhR13vwfA1wZ4\nXWOmjiBNCCrhMKGa5iivaZ5wpnndRECXWabZjJ1onb01zUGD2ETAbUCCRHTrV6kDAOddKtYKbShZ\nKguuK5MMAHHsWxLEBZFK7F2re7v3FFVYOdMIBvlA++cA3gvgTwEQwN8AuGGzJ6lqRvJtAD4NwAO4\nSVUfIPleAHeo6i0A3kbyNQBSAM8B+PHR/hnGTNYKDteJ1Q9yB+TdZkqkPu+eEU12IqBKBK71ac6g\nahNOzFipSBVFNc1AyfMIzIiKJwJ6HyD2JXsYIjLrCzLNPvIKUEVR9Z4neraTQsK+ZI6g7xuUZA3A\nnKo+BeDnOh4/AwOudKaqnwLwqa7Hfq3j9r8cdsDGTCNBWmH7wo2DE0XJK1upOoKBLgqqwsXL38NH\n7vr1nlq3EsZxsjwj7+RhQbMZL5Fab3mGDyoySNmgmTAVjYpKChi5VG2luqGI6KyPen+XAOA8JTS1\nEjmXdm/zjiJWzjSSjcoz/huAVxY8/gpYP2Vj1lFIpT0BEMgzzqVOBFSoA10gnZLU+b1XTebDJy/P\nyGvovLfyDDN2KlpF90Qy5wRa9jwCM6IY7C0pcN5lapnmoYhoYU0zAHjvNOQTAXuDZk8VsUzzKDYK\nmq9Q1T/pflBV/wzAP9m6IRmz/ShCpR0sw8EJJlCeQfr2B5GDi6qTCiCitUyz8ynEMs1mzFSq3RPJ\n6J1A1MoztgEViQuX0c67Z1imeQiSyYwvqA8H8sVigmoU+aJMswuiakHzCDYKmjc6AdlypcZ0UEiy\nmmkmnCqk3Eyzil+tJWa+jHXJKxKuDkROZpGcD1Cxc4UZKxWtsLvlnHNSfscaMxKFpyvINEc+VbE5\nEMMQkbqP+gTNjpplGhVmmh1sDsCINvpAe4rk1d0PkrwKwFNbNyRjth+FVk5OBGT5mWZVx9UJeHQK\nnVTQrDGcb5dnRJllms3YiVR6JgJGXhDEguZtQEXiwu4ZkU9FrEXlMFQx06+m2XsnohJFRd0znAti\nV2ZGstEb9O0Abib5vwDcibxzxhXIO1z88NYPzZjt5GTQ7PIVAcsuz3BrXStIVc0mE0CIRFj9QPQ+\nBdQyzWa8VHtXlMuD6Ml8UTRD0TzT3JP9dJGzTPOQQpCa8xuUZwT1sXfN7m3tiYA2cXYEfT/QVPVL\nAK5u7/MTyINlArhKVf+ulNEZs00oJO6YCFh6n2aoOCKvJSacQnUyy9GqRh2Z5hRi5RlmvFS1N9Oc\nd8+wTPN2kH/p6c00x1FLg12ZGoaK1opazgGA9y4EURcX1DRHnqKA/b2MYMNLIar6JIB/XdJYjNnO\n1iYCtoPnUie0KNSR7a4VpIKcVHmGh29PSHQus5pmM3aqVa5ONm1j3j1jMl8UzVBUxLvVDjsd8ppm\nO18MQ1SrUb+aZu8kiLo4cj0tgh0ZRGwOwCjsDWrMGOQ1zVwtz5DSyzNU3GqGl/SqGiY1EdDD+Tyz\n4aOWZZrN2IkmPd0zIi8q5U6+NaNpl2f0LsgRRy0VK+caRjvT3PMFBACcowRRl0S95RmRp4iqlTON\nwN6gxoxBXp7hOvs0l5tpXj8RUIiJZZqjte4ZPs4gE1yd0OxIheUZzgXLNG8PKhIVlWf42Kca7Ev2\nMCRI1fULmj1FRJgUZJq9cyJi5RmjsDeoMeORsKNPc/kTAcUR7UwznKpOqL5TTma8EUWplWeYsSvo\nvsAoEpWy/+bMKFTVFXXP8EnUtEzzcFS1GkW+p2YZyLtnhKCoxL6gewaDwr5kjmLTNyjJi0j+Nsm/\nIPm59s9nBz0AyWtJPkjy6yTfWbD9l0jeR/IrJP+S5HnD/iOMmTxNiNVLjk609EyzOLqoXdPsFCX3\niT45EInyrhkAXJRClfzRd1i22YyNqlZ6gi6rad42VNQXZUd9EqUi4l5944/Y+WJAKlp1UXGm2TsG\nVWVSsN17ioh1mxnFID0R/xjABwH8DoDVE5X23/0kkh7ABwC8BsA3AHyZ5MdV9YGO3f4ewP9Q1QbJ\nnwLwH2At7cw2o9CE8GuLmwAlLweryo7FTSbXfiuvrW4HzU7hnOLcAxUAPZcIjRmJSITemuYAyzRv\nD6qFNc10Tgjo6ZecZ+eLAQXRivc8UbQtynP66lzvd5DIMYh9yRzJIB/sqap+cMTXvwrAQ6r6CACQ\n/CiA7wewFjSr6q0d+98O4PoRj2XMJCUnJwK6kJVfnkHSr2WaVWVSNc0OPlr9ci2gE6jWYB+CZkxU\nNSbXryhH5zLVspeuN6PQoI4FbdAAKL0XSbMZ2PliICoa++LfJSJQgysuJvDeZTYRcDSD1A/dQvJn\nSZ5Fcs/qz4Cvfw6AxzruH2o/1s9PAvjkgK9tzNRQaOdEQMEkJgK6uN09wwkwoROiqgfXTuIKOsCW\nNzbjJBKjayIZvc9g3TO2BYX6oomAAMR5Kr23leoGJCKJj4trmmOCzrOwKsCTAfYlcySDZJp/Ank5\nxts7HlMALxzxmIX/E0leD+ClAH6xYPMukjd23L+1K0NtzIRpcrJPs1MtuzyjI9NM+vKX8V4bRnCI\n4tUWRwI3wSW9zc4kGtP59UGXd5mKzE5oRGYIGsT16fig9F40iAXNA5INM80iWd9MM1MrzziJ5EEA\nB9t3FwEc6bfvph/sqrp4CmM5BGB/x/39yGub1yH5GgDvBvAqVS16AxxR1RtPYRzGbClFiFcnAjp4\nAaTUoFm1ozwDFNUJZd1C5hFXVoNmhXMCmVDPaLMjqUpE79Z1BKCPMqiWenXHjEZFvYt8UdAs9FQ6\n2pWpAUkmkY98Tx9mAIgIFNUzA0DkmNniJie1k7C3AmsBdF+bfrCTTAD8NIBXIc8S/zWAD/UJbrvd\nAeAAyUUAjwN4M4C3dL3+5QA+BOB1qvrMAK9pzNRRYK08g2D5mWZV0sUpkC9ugknVq0lwiOOT9YjO\nK5xdbjVjJBrBuZXOh+hdpqHcL6pmRKqkY5/ewl4A2BWDAYloFBe0lAPyIsG+QbN3WbDyjJEMcpL5\nYHu/3wRAAP+s/di/2OyJqpqRfBuATwPwAG5S1QdIvhfAl1X1E8i7ZcwA+BhJAHhUVX9glH+MMZOj\nlZNBsxdFeVmvxcvfQwCki/Ivsiy/phoA+KPvIEiHuHIyaKYTODdT9ljMzqWqEbsu7zPyqWWatwcR\ncX0yzaCj0s4XAxORyEeuMGj2KkrnimuaHVPVsksId4ZBfmlXquqlHff/iuQ9gx5AVT8F4FNdj/1a\nx+1/OuhrGTOt2isCClB+y7lK/SzfWnlCyXbQTicT6dN83kUVPPY17eiekbed85FdBjTjI+K7a5rp\nfaZimeZtQeDoiutwXeQFtEzzoEImPoqLyzO8Ktgn0+w9UxH7kjmKQbpnZCQvXL1D8gIAhd8SjXke\n6wyapcygOamdWV33p0yvqhPoWRvFu+Gj9f1XnROQVp5hxqdfplnUT2pIZnAqQhf3zTQL7XwxMBHt\nGzQ71b4RXuxdGixoHskgH+y/DOCzJB9u318EcMOWjciYbShvObfap9kHLXciYH01ywysLW4ygaA5\n2QXn118OJFf7NBszFiri4X1X0By1VIJlmrcBVe3XPQPO+6Bi3TMGJaF/ptmJSt7ys1eUd8+wv5cR\nDPJL+yKAbwFwEfKa5ge3dETGbEvStSLgQH9b40FfBTtr1yiYRKYZmIfz6zPN9Gp9ms04qfT2+aW3\nTPN2oUHok7iwDpeOAlr3jEGFTFxSiVaKtlHUgSisz4i8awX7exnJIOUZt6lqQ1W/oqp3q2oDwG1b\nPTBjthPtKs9QlHdCci6uAezINHvV0lckBKCya109cz44AexyqxkjEU+/fkEHxlFLRSwI2AZUlL5f\nx4fIi4raRMAB3PCO11FEXKUWFwbNLgjQp6Y59q4pYpnmUfT9pZE8C8DZAOokX4o8y6wA5gHYh6Ax\n62i02qeZJZdnqIYaO8oi6LxAJlCeQc7D++6aZp3Y6oRmR1IRj+5ltH2UwYLmqffqG3+EIDfqniEk\nLNM8gAtedPb8ww8+Ia5PhwyqQIsTzUgi18iCBc2j2OiX9lrkqwGeA+B9HY8fR74QiTGmTdeXZwSU\nWp7BamemGXAykfZbqnNwXcvjOi9Q+xA0YyTq2BV0uThqagiDXDk1E7T3kvOiZx44pC7yRctow0U+\nqC26MZDaTLLHeyf9tmsQKvsGzc0gan8vI+j7wa6qHwbwYZJvUtWPlTgmY7ajaLU8w8FnZWaaCVft\nnQio5WeaReb6dM+wTLMZGxVx7J4IGEcttSBg6rnIz9GzMDMKAHROVMSC5gGI6C4f9Q+akQkLv5kA\nqCS+kdmVmZEMcpL5S5LvJ3ln++d9JBe2fGTGbCsa58tnr7WcK/OEVGkvaAIAIJ1iIjOjda53IqAT\nqE5mSW+zM+VB87qaZpfEDYRQnFYzU8Mn0Wy/BTcAwEVOVKycayCKPRsGzSH0zTRXIt+wTPNoBvml\n/S6AYwB+CMB1yMszfm8rB2XMdiOQ6OSKgC5ovgJmKVSltnpsAAB9UEwgUFWdK54IaOUZZnxUxDGK\nujLNcUtF3Pnv+BkLnKdbnb5/0My8vMu+ZA9ARRd8nzKX9nYXUFzUnESupQr+z7ddY3XNQxrkF3aB\nqv5gx/0bSX5lqwZkzDYVA/nVMOblGSVmmrVG+s5MczaRmuaQ7UGcrJ8Vn2e97UPQjE+eaV73PqNz\nQu+0uv+cGoDlCY3MbK7uHPtmR13kRe18MRARWYi6Wi+uE/qXZzhH9Y6yd746D+C5LRngDjVIpnmF\n5CtX75D8DthJyZgu0lmekZVbnqFzneUZgAsTqWkOYRfiyvrlcaM4g4q1kDJjo6KOvSvKCZxTJol1\ndppiJGc2Ks+gZ1ARC5oHoIoFH/UPmiUTFxQMUvzrjjzFe+7esgHuUIMEzT8F4DdJPkryUQAfaD82\nEJLXknyQ5NdJvrNg+6tI/j3JlOQbBx+6MdNDOyYClt2nWVXq7KglpvOZQsrPNEu20JNpjuIMIZsr\nfSxm51Ihoyjtfpjei0vi+UkMyQyszg06PjjvA9TKMwahonNug0yzBvFCoKnFFQXeOfHO5qcNa9Py\nDFW9G8ClJOfb948N+uIkPfIg+zUAvgHgyyQ/rqoPdOz2KIAfB/D2YQZuzHTRKM/wAg4+VUh5kyxU\nZsiTtW3OJU2VUH4GIYR5xJXuoDmFBMs0m7FREeeiqGdxDDpnQfOUU9U6NyjPoHeiYuUZgxDVuY0m\nAoYgnj7SJdFK3bOnL3bkKaqwTPOQNg2ambeLeiOARQCeJAGoqv6bAV7/KgAPqeoj7df6KIDvB7AW\nNKvqo+1t/WeBGjPlFBI7uAaQ1zSX3D2jRkYdmeY4hYYJlGdk84grJ9Y95uMmxMozzBiJkHHBMsze\nKwC7qjHdNpwI6CKfqU6gtGwbUtFZH7nCRWKAPGhG5HRJWNsLLHVv946BhH3JHNIgEwH/D4AjAO4E\n0Bjy9c8B8FjH/UMArh7yNYyZegqN8mB5rU9zaZlmVVk/EdDFDdUJ1AVKmEFSeWrdY1HchIqdmM1Y\ntLtjsHtxEyDPNIOcncCwzKAUNec2Ks9womJB8yBUdTbaoHuGBHFwTlfAws+CyDsRUTs3D2mQoPkc\nVX3dGI/Z91vmBnaRvLHj/q2qeut4hmPMOEjikF8ybnfPKLH1ldTAk7VtdHFTNZRf05xldcTV9Znm\nKG4ghDNKH4vZkWZfcvHM0v3/oHS930nzS/tiQfN027A8I18p0FYEHEQIslCpxj21/auyTB0jYlm0\nVtR5Ls8004JmACQPAjjYvruIPFFcaJCg+TaSl6rqPSOM5RCA/R339yOvbe6nX0B9RFVvHOH4xpRC\nEBKH/ARWdveMvE7wZHmG85UVlWwCLefSCirV9ZcBo7gJCbZYgRkLl8Sz6NN9gd4LrDxjymnNRb5/\nTbNjqqI2OW0AIZP5pNI7IXZVlgUP76WpWikKmmPvJIja3wuAdhL2VmAtgO6rb9BM8qvtmx7ADSQf\nBtA8eQy9dICx3AHgAMlFAI8DeDOAt/Q7JPo04jZm2glC7BE3AcAhLnsiYJ0uXrtc7VyyopqV37Q+\nSxNUausnCieVJYTMLrea8VCdawfHPRj5ALWAa5qposaNyjNin06kx/w2JEHm4iRq9tveyoJj5END\niruReMcAVZtvMqSNPli/FyczvyMFs6qakXwbgE8jD75vUtUHSL4XwB2qegvJKwH8KYDdAN5A8kZV\nfckoxzNmUhRZR9DsWgot7Qugajbv/ezJ8gxfaUBDmRMRc1kaoTaz/rJWXGlY0GzGaKZf0MU4zjTI\nnrIHZAanQWp07D8R0LlUxILmQYQgc3El6rswSZqKQ+zTFSlekTXyLojalZlhbRQ0P4m8H/OFAO5B\nHvD2nanZj6p+CsCnuh77tY7bX8b6Eg5jth2FRK4dNHskK4KszImAs3Qnuwn4qH5cpOUXL38PH7nr\n10eZQzA0/spNVUhwSGrryzPiZAnZBEpFzM7kONOvPMMlcYowgVaLZmAqMuN6F6ZZ4yKfwoLmgYRM\nanHiC5szSLPlMlFG1TishOIa8ThiFtQmAg5row/2DwO4AsBXAXw3gPeVMiJjtiFBiDySJgDEqC8r\nhD/Em8u59KVh1rlk7eTpo/oKQMyddtneUo4PAHO79iNOAronaNXnjiJr2YegGQ/ZoDwjjlMNwcoz\nppiKzvs46hs007uWipRfWrYNZVmoVapxTys5AJDnlmYT77Q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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "inst_defaults = pandeia.engine.jwst.NIRCam(mode='sw_imaging')\n", "config_sw = inst_defaults.as_dict() # get default config\n", "inst_defaults = pandeia.engine.jwst.NIRCam(mode='lw_imaging')\n", "config_lw = inst_defaults.as_dict() # get default config\n", "\n", "\n", "\n", "for width in ['wide','medium','narrow']:\n", "\n", " plt.figure(figsize=(12,3))\n", " nfilters = len([filt for filt in inst.filters if width[0] in filt])\n", " colorseq=iter(matplotlib.cm.rainbow(np.linspace(0,1,nfilters)))\n", " \n", " for filtname in inst_defaults.filters:\n", "\n", " if width[0] not in filtname: continue\n", " if filtname=='f225n' or filtname=='f418n': continue # no longer present in NIRCam\n", "\n", " if int(filtname[1:3]) < 25:\n", " mode = 'sw_imaging' \n", " config = config_sw\n", " else:\n", " mode = 'lw_imaging'\n", " config = config_lw\n", " config['instrument']['filter']=filtname\n", " \n", " if filtname=='f322w': filtname='f322w2' # work around limitation in current config setup\n", " \n", " inst = pandeia.engine.jwst.NIRCam(mode=mode, config=config)\n", "\n", " wr = inst.get_wave_range()\n", " wave = np.linspace(wr['wmin'], wr['wmax'], num=500)\n", " pce = inst.get_total_eff(wave)\n", "\n", " plotlabelcolorfilt(wave,pce,filtname, color=next(colorseq))\n", " output_to_fits_table(wave,pce,inst, filtername=filtname)\n", "\n", " annotate_pce_plot(title=uppercase_si_name(inst.inst_name)+\" {} filters only\".format(width), \n", " xlim=(0.4, 5.25), legend=False)\n", " plt.ylim(0,0.85) #match NIRCam pocket guide PDF\n", " plt.axvline(2.37, ls=\"-\", color='black', alpha=0.3, linewidth=5) \n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Instruments that don't work yet - NIRSpec and FGS" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Tim P says in Feb 2016: \n", "\n", "\"nirspec imaging hasn’t been implemented yet. there are stubs for it in the configuration file, but not all of the necessary configuration data is there. \"" ] }, { "cell_type": "code", "execution_count": 105, "metadata": { "collapsed": false }, "outputs": [ { "ename": "KeyError", "evalue": "u'full'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0minst\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpandeia\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjwst\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNIRSpec\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'imaging'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m 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\u001b[0;36mget_pce\u001b[0;34m(inst, normalize)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_pce\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnormalize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mwr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minst\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_wave_range\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mwave\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'wmin'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;36m0.95\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mc_wmax\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mg_wmax\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 93\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 94\u001b[0;31m \u001b[0mwmin\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maperture\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"wmin\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 95\u001b[0m \u001b[0mwmax\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maperture\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"wmax\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 96\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mKeyError\u001b[0m: u'full'" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "inst_defaults = pandeia.engine.jwst.NIRSpec(mode='imaging')\n", "config = inst_defaults.as_dict() # get default config\n", "\n", "plt.figure(figsize=(8,6))\n", "colorseq=iter(matplotlib.cm.rainbow(np.linspace(0,1,len(inst_defaults.filters))))\n", "\n", "\n", "for filtname in inst_defaults.filters:\n", "\n", " config['instrument']['filter']=filtname\n", " inst = pandeia.engine.jwst.NIRSpec(mode='imaging', config=config)\n", "\n", " wave,pce=get_pce(inst)\n", " color=next(colorseq)\n", " plt.fill_between(wave,0, pce, color=color, alpha=0.5)\n", " plt.plot(wave,pce,color=color, label=filtname.upper())\n", "\n", "\n", "annotate_pce_plot(title=inst.inst_name.upper(), xlim=(3,30))" ] }, { "cell_type": "code", "execution_count": 106, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# FGS is not in Pandeia - get the spectral response from someone on FGS team directly. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Convert into webbpsf-compatible FITS tables" ] }, { "cell_type": "code", "execution_count": 143, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from astropy.table import Table\n", "import time\n", "import webbpsf\n", "_log = webbpsf.webbpsf_core._log\n", "import pysynphot" ] }, { "cell_type": "code", "execution_count": 185, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "==>> outputs/NIRCam/F070W_throughput.fits\n" ] } ], "source": [ "inst = pandeia.engine.jwst.NIRCam(mode='sw_imaging')\n", "\n", "\n", "outname = output_to_fits_table(wave,pce,inst)" ] }, { "cell_type": "code", "execution_count": 213, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "XTENSION= 'BINTABLE' / binary table extension \n", "BITPIX = 8 / array data type \n", "NAXIS = 2 / number of array dimensions \n", "NAXIS1 = 16 / length of dimension 1 \n", "NAXIS2 = 500 / length of dimension 2 \n", "PCOUNT = 0 / number of group parameters \n", "GCOUNT = 1 / number of groups \n", "TFIELDS = 2 / number of table fields \n", "TTYPE1 = 'WAVELENGTH' \n", "TFORM1 = 'D ' \n", "TTYPE2 = 'THROUGHPUT' \n", "TFORM2 = 'D ' \n", "WAVEUNIT= 'angstrom' / Wavelength unit \n", "TELESCOP= 'JWST ' / James Webb Space Telescope \n", "INSTRUME= 'NIRCam ' / Name of instrument \n", "FILTER = 'F070W ' / Bandpass filter identifier \n", "SOURCE = 'JWST ETC / Pandeia / REDCAT' / Derived from JWST ETC database \n", "SRC_DATE= '2016-02-11' / Date of file generation from ETC \n", "NORMALIZ= T / Normalized to peak transmission=1 \n", "TUNIT1 = 'Angstrom' \n", "HISTORY Normalized relative spectral response file for WebbPSF \n", "HISTORY \n", "HISTORY Based on information extracted from the \n", "HISTORY JWST Exposure Time Calculator (ETC) system \n", "HISTORY (Pandeia software database, using reference files \n", "HISTORY managed by ReDCaT, the Reference Data for \n", "HISTORY Calibration and Tools group at STScI) \n", "HISTORY \n", "HISTORY File created by: webbpsf/dev_tools/ \n", "HISTORY Normalized Throughputs from Pandeia.ipynb \n", "HISTORY " ] }, "execution_count": 213, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check the header looks as we desire it to:\n", "f = fits.open(outname)\n", "f[1].header" ] }, { "cell_type": "code", "execution_count": 214, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def read_filter_data_like_webbpsf_does(filename, filtername):\n", " \"\"\"Copied from webbpsf_core SpaceTelescopeInstrument._getSynphotBandpass() \"\"\"\n", " # The existing FITS files all have wavelength in ANGSTROMS since that is\n", " # the pysynphot convention...\n", " \n", " #filterfits = fits.open(filter_info.filename)\n", " filterfits=fits.open(filename)\n", " \n", " waveunit = filterfits[1].header.get('WAVEUNIT')\n", " if waveunit is None:\n", " _log.warn('The supplied file, {}, does not have a WAVEUNIT keyword. Assuming it '\n", " 'is Angstroms.'.format(filter_info.filename))\n", " waveunit = 'angstrom'\n", "\n", " filterdata = filterfits[1].data\n", " try:\n", " band = pysynphot.spectrum.ArraySpectralElement(\n", " throughput=filterdata.THROUGHPUT, wave=filterdata.WAVELENGTH,\n", " waveunits=waveunit, name=filtername\n", " )\n", " except AttributeError:\n", " raise ValueError(\"The supplied file, %s, does not appear to be a FITS table \"\n", " \"with WAVELENGTH and THROUGHPUT columns.\" % filter_info.filename)\n", "\n", " return band\n" ] }, { "cell_type": "code", "execution_count": 216, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 216, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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pj4apVWexweAiMdzc1WT1PIK7nKwgF4nh5nWbrJ5HgQ2rDmGDwUViuLklYfU8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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "band = read_filter_data_like_webbpsf_does(outname, 'test')\n", "import poppy.utils\n", "from webbpsf.tkgui import synplot\n", "synplot(band)\n", "plt.ylabel(\"Normalized throughput\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }