Constraining Young Hot Jupiter Occurrence Rate in Stellar Associations Using 2-min Cadence TESS Data

Author:

Fang Yuanqing12,Ma Bo12ORCID,Chen Chen23,Wen Yongxin12

Affiliation:

1. Department of Astronomy, School of Physics and Astronomy, Sun Yat-sen University, Zhuhai 519082, China

2. CSST Science Center in the Guangdong-Hongkong-Macau Great Bay Area, Sun Yat-sen University, Zhuhai 519082, China

3. School of Statistics and Data Science, Zhuhai College of Science and Technology, Zhuhai 519082, China

Abstract

The characterization of young planet distribution is essential for our understanding of the early evolution of exoplanets. Here we conduct a systematic search for young planets from young open clusters and associations using the 2-min cadence TESS survey data. We obtain TESS light curves for a total of 1075 young stars, which are selected with the aid of Gaia data. There are a total of 16 possible transiting signals. After a thorough vetting process, some have been confirmed as planets, and others are likely caused by eclipsing binaries. The final sample contains six confirmed planets, of which one is a hot Jupiter. After accounting for survey completeness using a Monte Carlo simulation, we can put a 95% confidence level upper limit on the hot Jupiter (P < 10 days, Rp = 0.7–2.9 RJup) occurrence rate orbiting stars in young associations at <5.1% and a 68% confidence level upper limit at <2.5%. We estimate that a sample size of ∼5000 dwarf stars with 2-min cadence data will be needed to reach a 0.5% upper limit on the hot Jupiter occurrence rate, which is the typical hot Jupiter occurrence rate around main sequence stars. Thus, future studies with larger sample sizes are required to put more constraints on planet formation and evolution theories.

Funder

National Key R&D Program of China

China Manned Space Project

Guangzhou Basic and Applied Basic Research Program

Fundamental Research Funds for the Central Universities, Sun Yatsen University

Publisher

MDPI AG

Subject

General Physics and Astronomy

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