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Eleanor

A tool for light curve extraction from the TESS FFIs.

Install / Use

/learn @afeinstein20/Eleanor
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<p align="center"> <img width = "600" src="./figures/eleanor.gif"/> </p> <p align="center"> <a href="https://github.com/afeinstein20/eleanor/actions/workflows/python-package.yml"> <img src="https://github.com/afeinstein20/eleanor/actions/workflows/python-package.yml/badge.svg?colorB=F9E84F"/></a> <a href="https://adina.feinste.in/eleanor"> <img src="https://github.com/afeinstein20/eleanor/actions/workflows/pages/pages-build-deployment/badge.svg?colorB=F9E84F"></a> <a href="https://ui.adsabs.harvard.edu/abs/2019PASP..131i4502F/abstract"><img src="https://img.shields.io/badge/read-the_paper-4D827F.svg?style=flat"/></a> <a href="https://doi.org/10.5281/zenodo.2597620"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.2597620.svg?colorB=3C0650" alt="DOI"></a> <a href="https://pypi.org/project/eleanor/"><img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/eleanor?color=F9E84F&logo=eleanor"></a> </p> <div align="justify"> eleanor is a python package to extract target pixel files from TESS Full Frame Images and produce systematics-corrected light curves for any star observed by the TESS mission. In its simplest form, eleanor takes a TIC ID, a Gaia source ID, or (RA, Dec) coordinates of a star observed by TESS and returns, as a single object, a light curve and accompanying target pixel data.

To install eleanor with pip:

    pip install eleanor

Alternatively you can install the current development version of eleanor:

    git clone https://github.com/afeinstein20/eleanor
    cd eleanor
    python setup.py install

For more information on how to install and use eleanor, please refer to the <a href="http://adina.feinste.in/eleanor/">documentation</a>.

If your work uses eleanor, please cite <a href="https://ui.adsabs.harvard.edu/abs/2019PASP..131i4502F/abstract">Feinstein et al. 2019</a>. If your work uses eleanor in Sectors 14-Present, we are using TessCut behind the scenes, also cite <a href="https://ui.adsabs.harvard.edu/abs/2019ascl.soft05007B/abstract">Brasseur et al. 2019</a>.

Related Skills

View on GitHub
GitHub Stars101
CategoryDevelopment
Updated14d ago
Forks42

Languages

Python

Security Score

95/100

Audited on Mar 16, 2026

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