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1.	Ali-Dib, Mohamad, et al. (author) The origin of the occurrence rate profile of gas giants inside 100 d 2017 In: Monthly Notices of the Royal Astronomical Society. - : Oxford University Press (OUP). - 0035-8711 .- 1365-2966. ; 469:4, s. 5016-5022 Journal article (peer-reviewed)abstract We investigate the origin of the period distribution of giant planets. We fit the bias-corrected distribution of gas-giant planets inside 300 d found by Santerne et al. using a planet formation model based on pebble accretion. We investigate two possible initial conditions: a linear distribution of planetary seeds, and seeds injected exclusively on the water and CO icelines. Our simulations exclude the linear initial distribution of seeds with a high degree of confidence. Our bimodal model based on snowlines gives a more reasonable fit to the data, with the discrepancies reducing significantly if we assume the water snowline to be a factor of 3-10 less efficient at producing planets. This model moreover performs better on both the warm/hot Jupiters ratio and a Gaussian mixture model as comparison criteria. Our results hint that the gas-giant exoplanets population inside 300 d is more compatible with planets forming preferentially at special locations.

Ali-Dib, Mohamad, et al. (author)
The origin of the occurrence rate profile of gas giants inside 100 d
2017
In: Monthly Notices of the Royal Astronomical Society. - : Oxford University Press (OUP). - 0035-8711 .- 1365-2966. ; 469:4, s. 5016-5022
Journal article (peer-reviewed)abstract
- We investigate the origin of the period distribution of giant planets. We fit the bias-corrected distribution of gas-giant planets inside 300 d found by Santerne et al. using a planet formation model based on pebble accretion. We investigate two possible initial conditions: a linear distribution of planetary seeds, and seeds injected exclusively on the water and CO icelines. Our simulations exclude the linear initial distribution of seeds with a high degree of confidence. Our bimodal model based on snowlines gives a more reasonable fit to the data, with the discrepancies reducing significantly if we assume the water snowline to be a factor of 3-10 less efficient at producing planets. This model moreover performs better on both the warm/hot Jupiters ratio and a Gaussian mixture model as comparison criteria. Our results hint that the gas-giant exoplanets population inside 300 d is more compatible with planets forming preferentially at special locations.

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