RESEARCH
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Exoplanet Mass-Radius relation using random forests

Solène C. Ulmer-Moll
IA/FCUP

Abstract
he mass and radius are some of the fundamental properties to characterize exoplanets. The mass is derived from radial velocity measurements while the radius is measured with the transit method. Using random forests, a machine learning algorithm, we were able to estimate the radius solely from the radial velocity observables. I will show how this new method compares with previous works which have described a mass-radius relation dependent on the planet's type.

2018 June 05, 13:30

IA/U.Porto
Centro de Astrofísica da Universidade do Porto (Classroom)
Rua das Estrelas, 4150-762 Porto

Instituto de Astrofísica e Ciências do Espaço Universidade do Porto Faculdade de Ciências da Universidade de Lisboa
Fundação para a Ciência e a Tecnologia COMPETE 2020 PORTUGAL 2020 União Europeia