Utility of PCA and Other Data Transformation Techniques in Exoplanet Research

2022/11/26 by Güray Hatipoğlu, Hatipoğlu, Güray
Physics and Astronomy · #Applications (stat.AP) #Astronomy and Astrophysical Research #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Scientific Research and Discoveries #Stellar, planetary, and galactic studies

paper · pdf · doi:10.48550/arxiv.2211.14683

openalex publication_date 2022/11/26 · openalex created_date 2022/12/10 · openalex updated_date 2026/07/28

Abstract

This paper focuses on the utility of various data transformation techniques, which might be under the principal component analysis (PCA) category, on exoplanet research. The first section introduces the methodological background of PCA and related techniques. The second section reviews the studies which utilized these techniques in the exoplanet research field and compiles the focuses in the literature under different items in the overview, with future research direction recommendations at the end.

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