Craters, Planets and Redshifts: Three applications of Machine Learning in Astrophysics
Kristen Menou (University of Toronto)
February 08, 2018
Abstract: I will describe, rather informally, three recent applications of machine learning in astrophysics: predicting the dynamical stability of planetary systems (Tamayo et al. 2016), cataloguing lunar craters (Silburt, Ali-Dib et al. 2018) and estimating photometric redshifts (Menou 2018). I will provide a brief introduction to supervised machine learning and deep learning, as needed to describe these results.