2 citations · 2 across the 1 of their papers we have counts for
3 papers
Particle identification with machine learning from incomplete data in the ALICE experiment
Maja Karwowska, Łukasz 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…
Machine-learning-based particle identification with missing data
Miłosz 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…
Particle identification with machine learning in ALICE Run 3
Maja Karwowska, Monika Jakubowska, Łukasz Graczykowski +2
The main focus of the ALICE experiment, quark--gluon plasma measurements, requires accurate particle identification (PID). The ALICE subdetectors allow identifying particles over a…