Identification of particles generated by ion collisions in the NICA collider is one of the basic functions of the Multipurpose Detector (MPD). The main means of identification in MPD are the time-of-flight system (TOF) and the time-projection chamber (TPC). The article considers the optimization of the algorithms of particles identification by these systems. Under certain conditions, the use of the statistical Bayesian approach has made it possible to achieve an optimal ratio of the efficiency of particle identification and contamination by incorrectly defined particles.
@article{arxiv.2406.12879,
title = {Bayesian Approach to Particles Identification in the MPD Experimen},
author = {V. A. Babkin and V. M. Baryshnikov and M. G. Buryakov and A. S. Burdyko and S. G. Buzin and A. V. Dmitriev and V. I. Dronik and P. O. Dulov and A. A. Fedyunin and V. M. Golovatyuk and E. Yu. Kidanova and S. P. Lobastov and A. D. Pyatigor and M. M. Rumyantsev and K. A. Vokhmyanina},
journal= {arXiv preprint arXiv:2406.12879},
year = {2024}
}