{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# What are LightCurveFile objects?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the previous tutorial we looked at `LightCurve` objects, which contain time and flux points. Now we will look at `LightCurveFiles`. Rather than being generated by you using a [Target Pixel File](http://lightkurve.keplerscience.org/tutorials/1.02-target-pixel-files.html), these files have been pregenerated using NASA's [Kepler Data Processing Pipeline](https://github.com/nasa/kepler-pipeline/).\n", "Usually, you will access these files through the [MAST archive](https://archive.stsci.edu/kepler/data_search/search.php). \n", "\n", "We will demonstrate the difference between a `LightCurve` and a `LightCurveFile` using data from Kepler." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Kepler light curves from MAST have some level of processing (more details [here](https://arxiv.org/pdf/1207.3093.pdf)) and allow you to access the two kinds of flux; the **SAP** flux and the **PDCSAP** flux. SAP flux is Simple Aperture Photometry flux, the same as we made in the [previous tutorial](http://lightkurve.keplerscience.org/tutorials/1.03-what-are-lightcurves.html). PDCSAP is the Pre-search Data Conditioning SAP flux. Long term trends have been removed from this data using so-called Cotrending Basis Vectors (CBVs). PDCSAP flux is usually slightly cleaner data than the SAP flux and will have fewer long term trends.\n", "\n", "We can read in a light curve file from the Kepler mission using `KeplerLightCurveFile`. We can use the `search_lightcurvefile()` function to fetch them from the data archive:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from lightkurve import search_lightcurvefile\n", "lcf = search_lightcurvefile(6922244, quarter=4).download()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`lcf` is now a `KeplerLightCurveFile` object. In this case it contains two `KeplerLightCurve` objects, one for the SAP flux and one for the PDCSAP flux. The `plot` method on a `KeplerLightCurveFile` object will plot up both of these." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "lcf.plot();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that the PDCSAP flux is flatter. To work more with this data we must choose which type of flux we want to work with. Let's choose PDCSAP flux:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "pdcsap = lcf.PDCSAP_FLUX" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can choose SAP flux in a similar way using\n", " \n", " sapflux = lcf.SAP_FLUX" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "KeplerLightCurveFile(ID: 6922244)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lcf" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "KeplerLightCurve(ID: 6922244)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pdcsap" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This has created a `KeplerLightCurve` object. The only flux it contains is the PDCSAP flux. This has the same methods we used in the [previous tutorial](http://lightkurve.keplerscience.org/tutorials/what-are-lightcurves.html). For example you can check the meta data and the CDPP noise metric:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Kepler'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pdcsap.mission" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "4" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pdcsap.quarter" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "408.6913767647017" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pdcsap.estimate_cdpp()" ] } ], "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 }