Statistical Methods for Exoplanet Detection with Radial Velocities

Nathan C. Hara, Eric B. Ford

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

Abstract

Exoplanets can be detected with various observational techniques. Among them, radial velocity (RV) has the key advantages of revealing the architecture of planetary systems and measuring planetary mass and orbital eccentricities. RV observations are poised to play a key role in the detection and characterization of Earth twins. However, the detection of such small planets is not yet possible due to very complex, temporally correlated instrumental and astrophysical stochastic signals. Furthermore, exploring the large parameter space of RV models exhaustively and efficiently presents difficulties. In this review, we frame RV data analysis as a problem of detection and parameter estimation in unevenly sampled, multivariate time series. The objective of this review is two-fold: To introduce the motivation, methodological challenges, and numerical challenges of RV data analysis to nonspecialists, and to unify the existing advanced approaches in order to identify areas for improvement.

Original languageEnglish (US)
Pages (from-to)623-649
Number of pages27
JournalAnnual Review of Statistics and Its Application
Volume10
DOIs
StatePublished - Mar 10 2023

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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