Speaker
Jeffrey Krupa
(SLAC)
Description
Applying automatic differentiation (AD) to particle simulations such as Geant4 opens the possibility of addressing optimization tasks in high energy physics, such as guiding detector design and parameter fitting, with powerful gradient-based optimization methods. In this talk, we refine our previous work on differentiable simulation with Geant by incorporating multiple coulomb scattering into the physics engine of the simulation. The introduction of multiple scattering adds layers of complexity, posing significant challenges for computing reliable unbiased derivatives with reasonable variance. These findings help build towards realistic optimizations of detectors with complete electromagnetic physics in Geant4.
Authors
Jeffrey Krupa
(SLAC)
Long Chen
Lukas Alexander Heinrich
(Technische Universitat Munchen (DE))
Max Aehle
Max Sagebaum
(RPTU Kaiserslautern-Landau)
Mia Liu
(Purdue University)
Michael Kagan
(SLAC National Accelerator Laboratory (US))
Mihaly Novak
(CERN)
Nicolas Ralph Gauger
(University of Kaiserslautern-Landau (DE))
Yiyang Zhao
(Tsinghua University (CN))