Work

FATS: Feature Analysis for Time Series

Year: 2015

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1506.00010

Authors: Nun, Isadora, Protopapas, Pavlos, Sim, Brandon, Zhu, Ming, Dave, Rahul, Castro, Nicolas, Pichara, Karim

Institutions: Harvard University Press, Center for Astrophysics Harvard & Smithsonian, Pontificia Universidad Católica de Chile

Language: English

Topic: Time Series Analysis and Forecasting

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1803679296

Cites: 1

Cited by: 52

Related to: 19