Utility of PCA and Other Data Transformation Techniques in Exoplanet Research

TL;DR

This paper reviews how data transformation techniques, especially PCA, are used in exoplanet research, highlighting methodological backgrounds, existing studies, and future research directions.

Contribution

It provides a comprehensive review of PCA and related techniques in exoplanet research, including methodological insights and future research recommendations.

Findings

PCA and data transformation techniques are valuable in exoplanet data analysis.

The review identifies key applications and focuses of these techniques in current studies.

Future research directions include exploring new transformation methods and applications.

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.