{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# How to perform aperture photometry with custom apertures?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have discussed in [previous tutorials](http://lightkurve.keplerscience.org/tutorials/1.03-what-are-lightcurves.html) how Simple Aperture Photometry works. We choose a set of pixels in the image and sum those to produce a single flux value. We do this for every image as a function of time to produce a light curve.\n", "\n", "The [Kepler Data Pipeline](https://github.com/nasa/kepler-pipeline) produces an aperture, which is used by default by lightkurve. However, there are some cases where you might want to produce your own aperture. The field may be crowded, or you may wish to change the aperture size to change the relative contribution of the background. We can do this simply with lightkurve.\n", "\n", "First, let's load a target pixel file. Let's choose [KIC 6679295](https://exoplanetarchive.ipac.caltech.edu/cgi-bin/DisplayOverview/nph-DisplayOverview?objname=KOI-2862.01&type=KEPLER_CANDIDATE). This is a Kepler planet canidate. We'll use the `from_archive` function to download every target pixel file available for each quarter of this data set. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "from lightkurve import search_targetpixelfile\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "kic = '6679295'\n", "\n", "#List to hold our TPFs\n", "tpfs = [] \n", "for q in range(1,18):\n", " #Note some quarters are missing, so we'll use Python's try/except to avoid crashing\n", " try:\n", " tpfs.append(search_targetpixelfile(kic, quarter=q).download())\n", " except:\n", " continue" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We've now created a list of `KeplerTargetPixelFiles`, where each item is a different quarter. We're going to be able to combine these just like in the [stitching tutorial](). " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295),\n", " KeplerTargetPixelFile Object (ID: 6679295)]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tpfs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a look at just one of those target pixel files." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#Build the light curve\n", "pipeline_lc = tpfs[0].to_lightcurve().flatten()\n", "for tpf in tpfs:\n", " pipeline_lc = pipeline_lc.append(tpf.to_lightcurve().flatten())\n", " \n", "#Clean the light curve\n", "pipeline_lc = pipeline_lc.remove_nans().remove_outliers()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Above we have created the light curve from the target pixel files, stitched them all together in the same way as in the [stitching tutorial] using lightkurves `append` function. To recap the steps we:\n", "\n", "* Convert to a `KeplerLightCurve` object with `to_lightcurve()`\n", "* Remove NaNs with `remove_nans()`\n", "* Remove long term trends with `flatten()`\n", "* Remove outliers with simple sigma clipping using `remove_outliers()`\n", "\n", "The period for this planet candidate is 24.57537 days. Let's plot it up and take a look." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pipeline_lc.fold(period=24.57537, phase=-0.133).bin().errorbar()\n", "plt.xlim(-0.015,0.015)\n", "plt.ylim(0.998,1.0015);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like a great candidate. However, we might just want to check on the pixels. Let's plot one of the target pixel files." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "tpf.plot(frame=100, aperture_mask=tpf.pipeline_mask, mask_color='red');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Kepler Pipeline aperture is in red. It looks like there is a nearby contaminate star! We might want to check that the signal is not really coming from the bright, nearby contaminant, rather than our target star. Let's use the top right corner four pixels as our new mask." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "aper = np.zeros(tpf.shape[1:])\n", "aper[-2:, 0:2] = 1\n", "tpf.plot(aperture_mask=aper, mask_color='red');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The new mask covers the bright star. Now we can iterate through the target pixel files and build the light curve in the same way as before, but this time " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "#Build the NEW aperture, and the light curve\n", "aper = np.zeros(tpfs[0].shape[1:])\n", "aper[-2:, 0:2] = 1\n", "user_lc = tpfs[0].to_lightcurve(aperture_mask=aper.astype(bool)).flatten()\n", "for tpf in tpfs:\n", " aper = np.zeros(tpf.shape[1:])\n", " aper[-2:, 0:2]=1\n", " user_lc = user_lc.append(tpf.to_lightcurve(aperture_mask=aper.astype(bool)).flatten())\n", "\n", "#Clean the light curve\n", "user_lc = user_lc.remove_nans().remove_outliers()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we have our new light curve we can plot it up again and find out if there is still a planet signal." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.998, 1.0015)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "user_lc.fold(period=24.57537, phase=-0.133).bin().errorbar();\n", "plt.xlim(-0.015,0.015)\n", "plt.ylim(0.998,1.0015)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like the planet signal is only in the target star and doesn't belong to the contaminant. This is just one of many checks you might want to perform to validate your planet candidates!" ] } ], "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": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 }