Speaker
Zinchenko, Dmitrii
(JINR)
Description
The Baryonic Matter at Nuclotron (BM@N) experiment at the NICA accelerator complex is currently in its active phase, analyzing data collected from the first physics run, and preparing for future data taking.
One of the most important software components for event reconstruction in high-multiplicity environment of heavy-ion interactions is a track reconstruction package. At BM@N, it was developed and implemented as a Vector Finder software toolkit, based on a constrained combinatorial search approach.
The current status of the method performance will be presented for simulated and real data from the BM@N experiment. Possible application of machine learning for method improvement (e.g. fake track suppression) will be discussed.
Authors
Nikonov, Eduard
(LIT JINR)
Zinchenko, Alexander
(Joint Institute for Nuclear Research)
Zinchenko, Dmitrii
(JINR)
Mr
Zinchenko, Roman
(JINR)
