Mapping Circumgalactic Medium Observations to Theory Using Machine Learning

Sarah Appleby, Romeel Davé, Daniele Sorini +2

We present a random forest framework for predicting circumgalactic medium (CGM) physical conditions from quasar absorption line observables, trained on a sample of Voigt profile-fi…