Speaker
Manfred Peter Fackeldey
(RWTH Aachen University (DE))
Description
I'd like to present evermore
(https://github.com/pfackeldey/evermore) that focusses in efficiently building and evaluating likelihoods typically for HEP. Currently, it focusses on binned template fits.
It supports autodiff, JIT-compilation and vectorization of full fits (even on GPUs).
Author
Manfred Peter Fackeldey
(RWTH Aachen University (DE))