Metadata-Version: 2.1
Name: halophot
Version: 0.7.4
Summary: K2 halo photometry with total variation.
Home-page: https://github.com/hvidy/halophot
Author: Tim White and Benjamin Pope
Author-email: benjamin.pope@nyu.edu
License: GPLv3
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: astropy
Requires-Dist: scipy
Requires-Dist: autograd
Requires-Dist: lightkurve
Requires-Dist: statsmodels
Requires-Dist: sklearn
Requires-Dist: future (==0.16.0)
Requires-Dist: pybind11
Requires-Dist: k2sc
Requires-Dist: scikit-image

A Python package for doing photometry of very bright stars in the Kepler/K2 mission using halo photometry, constructing the light curve as a linear combination of pixels.      We minimize total variation (TV) of the final light curve with respect to the weights of the individual pixels using analytic gradient descent.      The full method is documented in our paper at http://arxiv.org/abs/1708.07462.


