{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How to recover the first TESS planet candidate with *Lightkurve*?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data from the TESS mission are [available from the data archive at MAST](https://archive.stsci.edu/prepds/tess-data-alerts/). This tutorial demonstrates how the [Lightkurve Python package](http://lightkurve.keplerscience.org) can be used to read in these data and create your own TESS light curves with different aperture masks.\n",
"\n",
"Below is a quick tutorial on how to get started using *Lightkurve* and TESS data. We'll use the nearby, bright target Pi Mensae (ID 261136679), around which the mission team recently discovered a short period planet candidate on a 6.27 day orbit. See the [pre-print paper by Huang et al (2018)](https://arxiv.org/abs/1809.05967) for more details."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"TESS data is stored in a binary file format which is documented in the [TESS Science Data Products Description Document](https://archive.stsci.edu/missions/tess/doc/EXP-TESS-ARC-ICD-TM-0014.pdf). *Lightkurve* provides a `TessTargetPixelFile` class which allows you to interact with the data easily.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import lightkurve as lk"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"search_result = lk.search_targetpixelfile('Pi Mensae', mission='TESS', sector=1)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"SearchResult containing 1 data products.\n",
"\n",
"