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Main Authors: Faria, J. P., Delisle, J. -B., Ségransan, D.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.01804
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author Faria, J. P.
Delisle, J. -B.
Ségransan, D.
author_facet Faria, J. P.
Delisle, J. -B.
Ségransan, D.
contents We introduce a new method to infer the posterior distribution for planet occurrence rates from radial-velocity (RV) observations. The approach combines posterior samples from the analysis of individual RV datasets of several stars, using importance sampling to reweight them appropriately. This eliminates the need for injection-recovery tests to compute detection limits and avoids the explicit definition of a detection threshold. We validate the method on simulated RV datasets and show that it yields unbiased estimates of the occurrence rate in different regions, with increasing precision as more stars are included in the analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2512_01804
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Inferring planet occurrence rates from radial velocities
Faria, J. P.
Delisle, J. -B.
Ségransan, D.
Earth and Planetary Astrophysics
Instrumentation and Methods for Astrophysics
We introduce a new method to infer the posterior distribution for planet occurrence rates from radial-velocity (RV) observations. The approach combines posterior samples from the analysis of individual RV datasets of several stars, using importance sampling to reweight them appropriately. This eliminates the need for injection-recovery tests to compute detection limits and avoids the explicit definition of a detection threshold. We validate the method on simulated RV datasets and show that it yields unbiased estimates of the occurrence rate in different regions, with increasing precision as more stars are included in the analysis.
title Inferring planet occurrence rates from radial velocities
topic Earth and Planetary Astrophysics
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2512.01804