Accelerated calibration of semi-analytic galaxy formation models

I will present an accelerated calibration framework for semi-analytic galaxy formation models, demonstrated with Galacticus. Rather than fitting directly to properties such as the low-redshift stellar mass function (SMF) - which requires evolving thousands of halos per likelihood evaluation - I constructed a fast likelihood from the stellar-to-halo mass relation (SHMR; mean and scatter) evaluated at a small set of target halo masses, reducing each evaluation to simulating only tens of galaxies. I will discuss the pros and cons of such an approach, as well as attempts to extend this approach to handle calibrating to properties other than stellar masses (stellar sizes, black hole masses, etc.).