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arxiv: 1506.00010 · v2 · pith:AQWCMPELnew · submitted 2015-05-29 · 🌌 astro-ph.IM

FATS: Feature Analysis for Time Series

Isadora Nun , Pavlos Protopapas , Brandon Sim , Ming Zhu , Rahul Dave , Nicolas Castro , Karim Pichara This is my paper
classification 🌌 astro-ph.IM
keywords featureanalysisfatslibraryseriestimecurvedata
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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.

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