Publication | Open Access
FATS: Feature Analysis for Time Series
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2015
Year
Astronomical Coordinate SystemEngineeringData ScienceData MiningPattern RecognitionCosmologyAstrostatisticsKnowledge DiscoveryFeature ExtractionAstronomical Image AnalysisTemporal Pattern RecognitionPython LibraryForecastingFunctional Data AnalysisNonlinear Time SeriesAstrophysics
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.