Abstract
The BM@N experiment (Dubna, JINR) within the NICA complex is a running fixed target experiment. This paper mainly discusses the software support of the experimen and presents the status of the development and testing algorithms to be used for the reconstruction of heavy-ion collisions. Algorithms of reconstruction are described and tested with Monte Carlo input demonstrating a reasonable level of quality assurance. First results on particle identification being a good probe to estimate quality of reconstruction are also mentioned.
Highlights
BM@N (Baryonic matter at Nuclotron) [1] is one of the experiments performed at the NICA complex [2]
Algorithms of reconstruction are described and tested with Monte Carlo input demonstrating a reasonable level of quality assurance
Taking into account the different sets of detectors used in the experimental runs already performed and the fact that the last run comprised two configurations of the experimental setup, BM@N, and the Short Range Correlation Program (SRC) at BM@N, a candidate for the algorithm should fulfil a set of requirements
Summary
BM@N (Baryonic matter at Nuclotron) [1] is one of the experiments performed at the NICA complex [2]. It aims at studying the interaction of heavy ion beams with fixed targets. The last experimental run was performed on spring 2018 with argon and krypton beams. Another important thing is related to the scalability of the algorithm. An algorithm based on cellular automaton [3] was chosen. It was incorporated into the BmnRoot software [4, 5] to be used for its main purpose
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