3 papers
hep-ex2026
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-ex2026
Filtering hits for speeding up online track reconstruction at hadron colliders
Andrea Coccaro, Carlo Schiavi, Alessandro Zaio
Collider experiments are equipped with trigger systems that rapidly inspect the physics content emerging from collisions to decide whether the resulting products are worth saving f…
hep-ex2024
Accelerating Graph-based Tracking Tasks with Symbolic Regression
Nathalie Soybelman, Carlo Schiavi, Francesco A. Di Bello +1
The reconstruction of particle tracks from hits in tracking detectors is a computationally intensive task due to the large combinatorics of detector signals. Recent efforts have pr…