In this paper, we present the FATS (Feature Analysis for Time Series) library. FATS is a Python library which facilitates and standardizes feature extraction for time series data. In particular, we focus on one application: feature extraction for astronomical light curve data, although the library is generalizable for other uses. We detail the methods and features implemented for light curve analysis, and present examples for its usage.
@article{arxiv.1506.00010,
title = {FATS: Feature Analysis for Time Series},
author = {Isadora Nun and Pavlos Protopapas and Brandon Sim and Ming Zhu and Rahul Dave and Nicolas Castro and Karim Pichara},
journal= {arXiv preprint arXiv:1506.00010},
year = {2015}
}