A flexible framework for learning diffeomorphic transformations that normalize heteroskedastic uncertainty.

Code for generating LUND-format samples with uniform angle and momentum distributions. Electrons, protons, and neutrons are produced from (e,e’), (e,e’p), and (e,e’n) events, respectively. Used for CLAS12 acceptance maps and debugging in the 2N analysis.