Particle Identification Method in the BM@N Experiment

The BM@N (Baryonic Matter at the Nuclotron) is a fixed target experiment at the NICA (Nuclotron-based Ion Collider fAcility). The first physics runs were carried out with the collection of experimental data in 2018. One of the important problems of the experiment is particles identification. This paper discusses the implemented identification algorithm based on the separation of charged particles by time of flight. The implemented method was planned to be applied both to experimental and Monte Carlo data. However, the experimental data are noisy, therefore, before applying identification method to them, the filtering procedures described in this work were carried out. In order to determine how much better are the Monte Carlo data than the experimental ones, the efficiency of track detector stations was evaluated. After adding in the Monte Carlo data effects that make them more similar to the results obtained in the experiment, the identification method was applied to them. The estimates of the efficiency of the method, obtained by testing it on modified Monte Carlo data, are also presented.