3 papers
hep-ex2024
Particle identification with machine learning from incomplete data in the ALICE experiment
Maja Karwowska, Åukasz Graczykowski, Kamil Deja +2
The ALICE experiment at the LHC measures properties of the strongly interacting matter formed in ultrarelativistic heavy-ion collisions. Such studies require accurate particle iden…
physics.ins-det2024
Machine-learning-based particle identification with missing data
MiÅosz Kasak, Kamil Deja, Maja Karwowska +3
In this work, we introduce a novel method for Particle Identification (PID) within the scope of the ALICE experiment at the Large Hadron Collider at CERN. Identifying products of u…
quant-ph2024
CIRCUS: an autonomous control system for antimatter, atomic and quantum physics experiments
Marco Volponi, Saiva Huck, Ruggero Caravita +49
A powerful and robust control system is a crucial, often neglected, pillar of any modern, complex physics experiment that requires the management of a multitude of different device…