4 papers
Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data
Cole Granger, Alessandro Bacchetta, Valerio Bertone +6
We present an analytical parametrization of the non-perturbative transverse-momentum-dependent (TMD) parton distribution function of unpolarized quarks, extracted from Drell-Yan da…
GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation
Cole Granger, James Giroux, Richard Tyson +2
Modern particles physics experiments have demonstrated an increasing need for fast, high-fidelity detector simulation as detector components have improved and subsequent computatio…
Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector
Cristiano Fanelli, James Giroux, Cole Granger +1
We present a Mixture-of-Experts-based foundation model applied to the GlueX DIRC detector at Jefferson Lab, demonstrating its utility as a unified framework for fast simulation, pa…
Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning
Carlos Cardona-Giraldo, Cristiano Fanelli, James Giroux +3
Modern particle physics experiments face an increasing demand for high-fidelity detector simulation as luminosities rise and computational requirements approach the limits of avail…