We propose a second-order statistic parameter ε, the relative occurrence rate between hot Jupiters (HJs) and cold Jupiters (CJs) (ε = ηHJ/ηCJ), to probe the migration of gas giants. Since the planet occurrence rate is the combined outcome of the formation and migration processes, a joint analysis of HJ and CJ frequency may shed light on the dynamical evolution of giant planet systems. We first investigate the behavior of ε as the stellar mass changes observationally. Based on the occurrence rate measurements of HJs (ηHJ) from the Transiting Exoplanet Survey Satellite survey and CJs (ηCJ) from the California Legacy Survey, we find a tentative trend (97% confidence) that ε drops when the stellar mass rises from 0.8 to 1.4 M⊙, which can be explained by different giant planet growth and disk migration timescales around different stars. We carry out planetesimal and pebble accretion simulations, both of which can reproduce the results of ηHJ, ηCJ, and ε. Our findings indicate that the classical core accretion + disk migration model can explain the observed decreasing trend of ε. We propose two ways to increase the significance of the trend and verify the anticorrelation. Future works are required to better constrain ε, especially for M dwarfs and for more massive stars.
Relative Occurrence Rate between Hot and Cold Jupiters as an Indicator to Probe Planet Migration
Abstract
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We thank Doug Lin, Shigeru Ida, and Yasunori Hori for useful discussions, and two anonymous referees for their comments that improved the quality of this paper.
This work is supported by the National Science Foundation of China (grant No. 12133005). K.G. acknowledges access to MATLAB R2021b under the academic license granted by Shanghai Jiao Tong University. B.L. acknowledges the funding from the National Natural Science Foundation of China (Nos. 12222303, 12173035, 12147103, and 12111530175), the start-up grant of the Bairen program from Zhejiang University and the Fundamental Research Funds for the Central Universities (2022-KYY-506107-0001,226-2022-00216).
Facilities
TESS - , Kepler - The Kepler Mission, Keck:I - KECK I Telescope
Software References
NumPy (van der Walt et al. 2011), matplotlib (Hunter 2007), SciPy (Virtanen et al. 2020)
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Additional details
- ISSN
- 1538-4357
- National Natural Science Foundation of China
- 12133005
- Shanghai Jiao Tong University
- National Natural Science Foundation of China
- 12222303
- National Natural Science Foundation of China
- 12173035
- National Natural Science Foundation of China
- 12147103
- National Natural Science Foundation of China
- 12111530175
- Zhejiang University
- Ministry of Education of the People's Republic of China
- Fundamental Research Funds for the Central Universities 2022-KYY-506107-0001
- Ministry of Education of the People's Republic of China
- Fundamental Research Funds for the Central Universities 226-2022-00216
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)