{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Photometric Plugin\n", "\n", "For optical photometry, we provide the **PhotometryLike** plugin that handles forward folding of a spectral model through filter curves. Let's have a look at the avaiable procedures.\n", "\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:37:02.045318Z", "start_time": "2017-07-22T18:37:02.039071Z" } }, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline\n", "\n", "from threeML import *\n", "\n", "# we will need XPSEC models for extinction\n", "from astromodels.xspec import *\n", "\n", "# The filter library takes a while to load so you must import it explicitly..\n", "from threeML.plugins.photometry.filter_library import threeML_filter_library" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup\n", "\n", "We use [speclite](http://speclite.readthedocs.io/en/latest/ ) to handle optical filters.\n", "Therefore, you can easily build your own custom filters, use the built in speclite filters, or use the 3ML filter library that we have built thanks to [Spanish Virtual Observatory](http://svo.cab.inta-csic.es/main/index.php). \n", "\n", "**If you use these filters, please be sure to cite the proper sources!**\n", "\n", "### Simple example of building a filter\n", "Let's say we have our own 1-m telescope with a Johnson filter and we happen to record the data. We also have simultaneous data at other wavelengths and we want to compare. Let's setup the optical plugin (we'll ignore the other data for now).\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:38:14.437206Z", "start_time": "2017-07-22T18:38:14.415187Z" } }, "outputs": [ { "data": { "text/plain": [ "'bessell-R'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import speclite.filters as spec_filters\n", "\n", "my_backyard_telescope_filter = spec_filters.load_filter('bessell-r')\n", "\n", "# NOTE:\n", "my_backyard_telescope_filter.name" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "NOTE: the filter name is 'bessell-R'. The plugin will look for the name *after* the **'-'** i.e 'R'\n", "\n", "\n", "Now let's build a 3ML plugin via **PhotometryLike**. \n", "\n", "Our data are entered as keywords with the name of the filter as the keyword and the data in an magnitude,error tuple, i.e. R=(mag,mag_err):" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:38:51.079433Z", "start_time": "2017-07-22T18:38:50.817024Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using Gaussian statistic (equivalent to chi^2) with the provided errors.\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "my_backyard_telescope = PhotometryLike('backyard_astronomy',\n", " filters=my_backyard_telescope_filter, # the filter\n", " R=(20,.1) ) # the magnitude and error\n", "\n", "my_backyard_telescope.display_filters()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3ML filter library\n", "Explore the filter library. If you cannot find what you need, it is simple to add your own\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:38:59.169360Z", "start_time": "2017-07-22T18:38:59.164062Z" } }, "outputs": [ { "data": { "text/plain": [ "SDSS:\n", "- u\n", "- g\n", "- r\n", "- i\n", "- z" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "threeML_filter_library.SLOAN" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:01.984782Z", "start_time": "2017-07-22T18:39:01.687706Z" } }, "outputs": [ { "data": { "image/png": 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PgRQwqUtKRK4HrgdYvXr1tAUinUg+n5/XOanC9wZ7eL7k8urlo0TPxL64pHEG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\nkUqEI+A5UG2yvK0i5ZyoFEITUjXVjm1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N4F3AQeB5EVmlqtsLsn0CaFPV+SKyAvgycEux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\njPfUjcB9dojO4QBwXlIdjkJEJGXH2hGRO4DpqvrnIyivS1V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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "spec_filters.plot_filters(threeML_filter_library.SLOAN.SDSS)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:05.435733Z", "start_time": "2017-07-22T18:39:05.124204Z" } }, "outputs": [ { "data": { "image/png": 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bfw7LQoTDhGfPRiWTmL3VJnQi13ktEMQLKFYCozDCpFtslKvwbEmoNOQHmF3l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\nZyuhxQXNjJ86Jnxuo/LLw+M8Wwd4lq1wvjWc5QzrnFDDt++sYIjwAS8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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "spec_filters.plot_filters(threeML_filter_library.Herschel.SPIRE)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:19.088216Z", "start_time": "2017-07-22T18:39:18.736681Z" } }, "outputs": [ { "data": { "image/png": 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elMNZf5znrO9OFCk4JY45dRknrZrbpLJ161YW+jeai1bLlDdL2ec+QM8xkLbG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\n4fF4PJ5ceIXh8Xg8nlz8fxNlp7Q/KYDxAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "spec_filters.plot_filters(threeML_filter_library.Keck.NIRC2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Build your own filters\n", "\n", "Following the example from speclite, we can build our own filters and add them:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:27.139033Z", "start_time": "2017-07-22T18:39:26.879338Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using Gaussian statistic (equivalent to chi^2) with the provided errors.\n" ] }, { "data": { "image/png": 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CBw/qPhurtGzTXqXUahvqNAH3N9EdAN794EIi8pvAvwYcwAcWW5GIPAs8C1Bf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\nJ+PXQ8yN6D7OxcQoL8fe1kbwlVdIhEJ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fangs_g = spec_filters.FilterResponse(\n", " wavelength = [3800, 4500, 5200] * u.Angstrom,\n", " response = [0, 0.5, 0], meta=dict(group_name='fangs', band_name='g'))\n", "fangs_r = spec_filters.FilterResponse(\n", " wavelength = [4800, 5500, 6200] * u.Angstrom,\n", " response = [0, 0.5, 0], meta=dict(group_name='fangs', band_name='r'))\n", "\n", "fangs = spec_filters.load_filters('fangs-g', 'fangs-r')\n", "\n", "fangslike = PhotometryLike('fangs',filters=fangs,g=(20,.1),r=(18,.1))\n", "\n", "\n", "fangslike.display_filters()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## GROND Example\n", "\n", "Now we will look at GROND. We get the filter from the 3ML filter library.\n", "\n", "(Just play with tab completion to see what is available!)\n", "\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:47.808192Z", "start_time": "2017-07-22T18:39:47.802177Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using Gaussian statistic (equivalent to chi^2) with the provided errors.\n" ] } ], "source": [ "grond = PhotometryLike('GROND',\n", " filters=threeML_filter_library.ESO.GROND,\n", " #g=(21.5.93,.23), # we exclude these filters\n", " #r=(22.,0.12),\n", " i=(21.8,.01),\n", " z=(21.2,.01),\n", " J=(19.6,.01),\n", " H=(18.6,.01),\n", " K=(18.,.01))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:50.904939Z", "start_time": "2017-07-22T18:39:50.595146Z" } }, "outputs": [ { "data": { "image/png": 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olKskq/EUHAt1DeppWXRythvpJUscRODVVye58MLowhrV0Huwn8FCjjctPXFe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\nCYmCVbd2J1aLcs5MoZFztmyNCCJOURgRMgh5MWRECFLlESD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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grond.display_filters()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Model specification\n", "\n", "Here we use XSPEC's dust extinction models for the milky way and the host " ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:39:57.809394Z", "start_time": "2017-07-22T18:39:57.785953Z" }, "collapsed": true }, "outputs": [], "source": [ "spec = Powerlaw() * XS_zdust() * XS_zdust()\n", "\n", "data_list = DataList(grond)\n", "\n", "model = Model(PointSource('grb',0,0,spectral_shape=spec))\n", "\n", "spec.piv_1 = 1E-2\n", "spec.index_1.fix=False\n", "spec.redshift_2 = 0.347\n", "spec.redshift_2.fix = True\n", "\n", "spec.e_bmv_2 = 5./2.93\n", "spec.e_bmv_2.fix = True\n", "spec.rv_2 = 2.93\n", "spec.rv_2.fix = True\n", "\n", "\n", "spec.method_2 = 3\n", "spec.method_2.fix=True\n", "\n", "\n", "\n", "spec.e_bmv_3 = .002/3.08\n", "spec.e_bmv_3.fix = True\n", "spec.rv_3= 3.08\n", "spec.rv_3.fix=True\n", "spec.redshift_3 = 0\n", "spec.redshift_3.fix=True\n", "spec.method_3 = 1\n", "spec.method_3.fix=True\n", "\n", "jl = JointLikelihood(model,data_list)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We compute $m_{\\rm AB}$ from astromodels photon fluxes. This is done by convolving the differential flux over the filter response:\n", "\n", "$ F[R,f_\\lambda] \\equiv \\int_0^\\infty \\frac{dg}{d\\lambda}(\\lambda)R(\\lambda) \\omega(\\lambda) d\\lambda$\n", "\n", "where we have converted the astromodels functions to wavelength properly." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:40:17.109009Z", "start_time": "2017-07-22T18:40:14.577482Z" }, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best fit values:\n", "\n" ] }, { "data": { "text/html": [ "
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resultunit
parameter
grb.spectrum.main.composite.K_1(4.600 +/- 0.12) x 101 / (cm2 keV s)
grb.spectrum.main.composite.index_1-1.144 +/- 0.011
\n", "
" ], "text/plain": [ " result unit\n", "parameter \n", "grb.spectrum.main.composite.K_1 (4.600 +/- 0.12) x 10 1 / (cm2 keV s)\n", "grb.spectrum.main.composite.index_1 -1.144 +/- 0.011 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Correlation matrix:\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "
1.000.99
0.991.00
" ], "text/plain": [ "1.00 0.99\n", "0.99 1.00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Values of -log(likelihood) at the minimum:\n", "\n" ] }, { "data": { "text/html": [ "
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-log(likelihood)
GROND477.318155
total477.318155
\n", "
" ], "text/plain": [ " -log(likelihood)\n", "GROND 477.318155\n", "total 477.318155" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Values of statistical measures:\n", "\n" ] }, { "data": { "text/html": [ "
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statistical measures
AIC964.636311
BIC957.855187
\n", "
" ], "text/plain": [ " statistical measures\n", "AIC 964.636311\n", "BIC 957.855187" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "_ = jl.fit()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now look at the fit in magnitude space or model space as with any plugin.\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:40:24.884387Z", "start_time": "2017-07-22T18:40:24.176879Z" } }, "outputs": [ { "data": { "image/png": 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G+/7HviY8pX845jS8qAK3pS58GyfN3H19+PhboFk542sZPi64PJFi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\nBCUiIknp/wNsEcZ53cQNQwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "_=display_photometry_model_magnitudes(jl)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2017-07-22T18:41:52.070850Z", "start_time": "2017-07-22T18:41:20.431071Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9f67074dd98f4558923a765ceb2acad5" } }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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