M-dwarf exoplanet surface density distribution

Aims. We fit a log-normal function to the M-dwarf orbital surface density distribution of gas giant planets, over the mass range 1–10 times that of Jupiter, from 0.07 to 400 AU. Methods. We used a Markov chain Monte Carlo approach to explore the likelihoods of various parameter values consistent wit...

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Bibliographic Details
Published in:Astronomy and astrophysics (Berlin) 2018-04, Vol.612
Main Authors: Meyer, Michael R., Amara, Adam, Reggiani, Maddalena, Quanz, Sascha P.
Format: Article
Language:English
Subjects:
Density distribution
Extrasolar planets
Gas giant planets
Jupiter
Markov chains
Maximum likelihood estimates
Microlenses
Monte Carlo simulation
Parameter estimation
Planet detection
planets and satellites: general
Polls & surveys
Radial velocity
stars: low-mass
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Summary:Aims. We fit a log-normal function to the M-dwarf orbital surface density distribution of gas giant planets, over the mass range 1–10 times that of Jupiter, from 0.07 to 400 AU. Methods. We used a Markov chain Monte Carlo approach to explore the likelihoods of various parameter values consistent with point estimates of the data given our assumed functional form. Results. This fit is consistent with radial velocity, microlensing, and direct-imaging observations, is well-motivated from theoretical and phenomenological points of view, and predicts results of future surveys. We present probability distributions for each parameter and a maximum likelihood estimate solution. Conclusions. We suggest that this function makes more physical sense than other widely used functions, and we explore the implications of our results on the design of future exoplanet surveys.
ISSN:0004-6361
1432-0746
DOI:10.1051/0004-6361/201731313