2 papers
hep-ex2026
Improving statistical precision in Monte Carlo samples with negative weights via reweighting and uncertainty quantification
Christopher Palmer, Braden Kronheim
High statistical precision is critical for Monte Carlo (MC) samples in high energy physics and is degraded by negatively weighted events. This paper investigates a procedure to lea…
physics.comp-ph2024
Implicit Quantile Networks For Emulation in Jet Physics
B. Kronheim, A. Al Kadhim, M. P. Kuchera +2
The ability to model and sample from conditional densities is important in many physics applications. Implicit quantile networks (IQN) have been successfully applied to this task i…