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BM@N (Baryonic Matter at Nuclotron) is an experiment at NICA (Nuclotron-based Ion Collider fAcility). The first physics runs with experimental data taking were carried out in 2018. Particle identification is necessary for the physical analysis of the matter produced in collision of the beam with the target. This paper describes identification algorithms based on the method and a variation of the distance method. The algorithms were tested on simulated data; the results on identification efficiency and the percentage of contamination for different particle types are presented. [ABSTRACT FROM AUTHOR]

BM@N (Baryonic Matter at Nuclotron) is the first working experiment performed at the NICA accelerator complex. It is a fixed target experiment. To date, there have been seven runs of the experiment, most of which were technical. In 2018, the first run of the experimental facility with physics data acquisition took place. One of the prerequisites for physics analysis of experimental data is the existence of the primary vertex position estimation. This study describes the proposed algorithm for reconstruction of the primary vertex using the virtual planes method. The results of this algorithm for different targets, beams, and trigger conditions are presented. The sensitivity of the presented method is considered. [ABSTRACT FROM AUTHOR]