My Unified Nonlinear Inference for Type Ia cosmologY (UNITY) is an analysis framework that allows smaller and more accurate cosmological uncertainties. It uses a Bayesian Hierarchical Model (implemented with Stan) that incorporates many different effects in the SN Ia data: outliers, population drift with redshift, selection effects, calibration, and others.

Example Work:

UNITY: Confronting Supernova Cosmology’s Statistical and Systematic Uncertainties in a Unified Bayesian Framework

SN Ia Standardization on the Rise: Evidence for the Cosmological Importance of Pre-maximum Measurements

GitHub link

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