2 papers
physics.ins-det2025
Refining Fast Calorimeter Simulations with a Schrödinger Bridge
Sascha Diefenbacher, Vinicius Mikuni, Benjamin Nachman
Machine learning-based simulations, especially calorimeter simulations, are promising tools for approximating the precision of classical high energy physics simulations with a frac…
hep-ph2025
Discriminative versus Generative Approaches to Simulation-based Inference
Benjamin Sluijter, Sascha Diefenbacher, Wahid Bhimji +1
Most of the fundamental, emergent, and phenomenological parameters of particle and nuclear physics are determined through parametric template fits. Simulations are used to populate…