Metadata-Version: 2.1
Name: tess-sip
Version: 1.0.3
Summary: Demo tool for creating a Systematics-insensitive Periodogram (SIP) to detect long period rotation in NASA's TESS mission data.
License: MIT
Keywords: NASA, TESS, Astronomy
Author: Christina Hedges
Author-email: christina.l.hedges@nasa.gov
Requires-Python: >=3.6,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: astropy (>3.2.3)
Requires-Dist: lightkurve (>=2.0b3)
Requires-Dist: numpy (>1.18.2)
Requires-Dist: scipy (>1.5.3)
Requires-Dist: tqdm (>4.41.1)
Description-Content-Type: text/markdown

# TESS SIP 
<a href="https://doi.org/10.5281/zenodo.4291096"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.4291096.svg" alt="DOI"></a>

Demo tool for creating a Systematics-insensitive Periodogram (SIP) to detect long period rotation in NASA's TESS mission data. 

## What is SIP

SIP is a method of detrending telescope systematics simultaneously with calculating a Lomb-Scargle periodogram. You can read a more in-depth work of how SIP is used in NASA's Kepler/K2 data [here](https://ui.adsabs.harvard.edu/abs/2016ApJ...818..109A/abstract). 


## Usage

This repository contains a demo notebook for how to calculate a SIP for NASA CVZ targets. To use this demo, you can either download and run the notebook, or re-write/copy the scripts in the notebook in your own tools. 

![Example SIP output](https://github.com/christinahedges/TESS-SIP/blob/master/demo.png?raw=true)


## Requirements

To run this demo you will need to have [lightkurve](https://github.com/keplerGO/lightkurve) installed, with a minimum version number of v2.0.

## Acknowledgements

This tool uses the [lightkurve](https://github.com/keplerGO/lightkurve) tool to build a SIP, and relies on the `RegressionCorrector` and `SparseDesignMatrix` lightkurve tools. The SIP project was developed in part at the `online.tess.science` meeting, which took place globally in 2020 September. This research made use of [Astropy](http://www.astropy.org.) a community-developed core Python package for Astronomy.
