A numerical inversion of m sin i exoplanet distribution: the sub-Saturn desert is more depleted than observed and hint of a Uranus mass gap

Author:

Bertaux Jean-Loup1ORCID,Ivanova Anastasiia12

Affiliation:

1. LATMOS/IPSL, Université de Versailles Saint-Quentin , 11, Boulevard d’Alembert, F-78280 Guyancourt, France

2. Space Research Institute (IKI), Russian Academy of Science , Moscow 117997, Russia

Abstract

ABSTRACT The detection of an exoplanet orbiting another star with the radial velocity (RV) method allows to determine only a minimum mass of the planet, msin i, m being the true mass and i the angle of inclination of the planet orbital polar axis with the line of sight. Given an observed discretized distribution of m sin i apparent masses f0(msin i), we have designed a simple algorithm to find a unique true mass distribution f(m) that would reproduce exactly the observed distribution f0(m sin i). The method is based on a particular geometrical representation of exoplanets. It calls for the use of spheres and cylinders, and is somewhat similar (though different) to the Abel inversion, widely used in atmospheric physics. We have applied this algorithm to the latest sample of RV discovered planets containing 909 planets. We confirm the existence of a sub-Saturn desert (at least for periods < 100 d), most depleted in the mass Srange in the range 0.1–0.2 Mjup (∼32–64 M⊕), detected in the raw m sin i distribution, and amplified in the inverted f(m) true mass distribution by a factor ∼1.7. We argue that this result is robust, and would remain even if other biases of the RV surveys would be included. Differences with a recent model of population synthesis are discussed. Focusing on lighter planets, we found a likely statistically significant gap of planets in the observed m sin i distribution in the narrow range of 13.7–15.2 M⊕ containing Uranus.

Funder

Ministry of Science and Higher Education

NASA

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3