Physics of Particles and Nuclei, volume 55, issue 4, pages 995-999
Neutron Reconstruction in the BM@N Experiment Using Machine Learning
Publication type: Journal Article
Publication date: 2024-08-18
Journal:
Physics of Particles and Nuclei
scimago Q3
wos Q4
SJR: 0.260
CiteScore: 1.0
Impact factor: 0.6
ISSN: 10637796, 15318559
Abstract
At present, new compact highly granular neutron detector is being developed for the BM@N experiment. This detector will be used to identify neutrons, to measure their energies using time-of-flight method, neutron yields and azimuthal flow of neutrons in heavy-ion collisions at beam energies up to 4 A GeV. Application of machine learning techniques and preliminary results of neutron identification and energy reconstruction are discussed. First predictions of the anisotropic flow of neutrons using the DCM-QGSM-SMM model of heavy-ion collisions are shown.
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