2 papers
cs.LG2026
Fast and Precise Learned Charged-Particle Trajectory Regression at the Large Hadron Collider
Jonathan Renusch, Benjamin Huth, Daniel Murnane +9
We propose a training recipe that treats charged-particle trajectory parameter regression on high-energy physics detector data as a sequence-modeling task. Kalman filters and linea…
hep-ex2025
ColliderML: The First Release of an OpenDataDetector High-Luminosity Physics Benchmark Dataset
Doğa Elitez, Paul Gessinger, Daniel Murnane +5
We introduce ColliderML - a large, open, experiment-agnostic dataset of fully simulated and digitised proton-proton collisions in High-Luminosity Large Hadron Collider conditions (…