Metadata-Version: 2.1
Name: eleanor-mamu
Version: 1.0.2
Summary: Source Extraction for TESS Full Frame Images
Home-page: http://github.com/afeinstein20/eleanor
Author: Adina D. Feinstein
Author-email: adina.d.feinstein@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.0
Description-Content-Type: text/markdown
Requires-Dist: photutils (>=0.7)
Requires-Dist: tqdm
Requires-Dist: lightkurve (>=1.1.0)
Requires-Dist: astropy (>=3.2.3)
Requires-Dist: astroquery
Requires-Dist: pandas
Requires-Dist: setuptools (>=41.0.0)
Requires-Dist: tensorflow (<=1.14.0)
Requires-Dist: vaneska
Requires-Dist: beautifulsoup4 (>=4.6.0)
Requires-Dist: tess-point (>=0.3.6)


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.
Read the documentation at https://adina.feinste.in/eleanor
Changes to v1.0.1 (2019-12-19):
* Ability to use local postcards
* Addition of eleanor.Update() for automatic sector updates
* Significant speedups when TIC, Coords, and a Gaia ID are all provided
* Other bug fixes

Changes to v1.0.0 (2020-01-14):
* Removed some package dependencies* Added clarifications in documentation
* Added new features to visualization tools
* Other bugfixes


