English

Combining Transit and RV: A Synthesized Population Model

Earth and Planetary Astrophysics 2021-01-20 v1 Instrumentation and Methods for Astrophysics

Abstract

We present a framework for estimating exoplanet occurrence rates by synthesizing constraints from radial velocity and transit surveys simultaneously. We employ approximate Bayesian computation and various mass-radius (M-R) relations to explore the population models describing these surveys, both separately and in a joint fit. Using this approach, we fit a planet distribution function of the form d2N/dlogPdlogMPβMαd^{2} N/d\log{P}d\log{M} \propto P^{\beta} M^{\alpha}, with a break in the power law in mass at MbM_{b}, to planets orbiting FGK stars with periods P=[25,200]P = [25, 200] days and masses M=[2,50]MM = [2, 50] M_{\oplus}. We find that the M-R relation from Otegi et al. (2020), which lets rocky and volatile-rich populations overlap in mass, allows us to find a model that is consistent with both types of surveys. Our joint fit gives Mb=21.63.2+2.5MM_{b} = 21.6_{-3.2}^{+2.5} M_{\oplus} (errors reflect 68.3% credible interval). This is nearly a factor of three higher than the break from transit-only considerations and an M-R relation without such an overlap. The corresponding planet-star mass ratio break qb7×105q_{b} \sim 7\times10^{-5} may be consistent with microlensing studies (qb6×1052×104q_b \sim 6\times10^{-5} - 2\times10^{-4}). The joint fit also requires that a fraction of Frocky=0.630.04+0.04F_{\text{rocky}} = 0.63_{-0.04}^{+0.04} planets in the overlap region belong to the rocky population. Our results strongly suggest that future M-R relations should account for a mixture of distinct types of planets in order to describe the observed planet population.

Keywords

Cite

@article{arxiv.2012.05423,
  title  = {Combining Transit and RV: A Synthesized Population Model},
  author = {Michelle Kunimoto and Steve Bryson},
  journal= {arXiv preprint arXiv:2012.05423},
  year   = {2021}
}

Comments

Accepted for publication in The Astronomical Journal

R2 v1 2026-06-23T20:51:41.983Z