2 papers
hep-ex2025
Learning to Reconstruct: A Differentiable Approach to Muon Tracking at the LHC
Andrea Coccaro, Francesco Armando Di Bello, Lucrezia Rambelli +2
Reconstructing the trajectories of charged particles in high-energy collisions requires high precision to ensure reliable event reconstruction and accurate downstream physics analy…
hep-ex2023
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders
Andrea Coccaro, Francesco Armando Di Bello, Stefano Giagu +2
Experimental particle physics demands a sophisticated trigger and acquisition system capable to efficiently retain the collisions of interest for further investigation. Heterogeneo…