Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks

no code implementations • 23 Feb 2022 • Sayantan Auddy, Ramit Dey, Min-Kai Lin, Daniel Carrera, Jacob B. Simon

A unique feature of our approach is that it can distinguish between the uncertainty associated with the deep learning architecture and uncertainty inherent in the input data due to measurement noise.

Architectures of Exoplanetary Systems: Eccentricity and Mutual Inclination Distributions of AMD-Stable Planetary Systems

1 code implementation • 28 Jul 2020 • Matthias Y. He, Eric B. Ford, Darin Ragozzine, Daniel Carrera

We show that distributing a planetary system's maximum AMD amongst its planets results in a multiplicity-dependent distribution of eccentricities and mutual inclinations.

Earth and Planetary Astrophysics