Speaker
Ratnikov, Fedor
(HSE University)
Description
The compact highly granular time-of-flight neutron detector is designed for the fixed target BM@N experiment at Nuclotron (JINR). This detector is aimed to measure anisotropy of azimuthal neutron flows, that are sensitive to the equation of state of dense nuclear matter. Graph neural network (GNN) method is proposed to reconstruct fast neutrons with energies up to few GeV produced in nucleus-nucleus collisions in the high background level at the neutron detector. GNN was tested on simulated Xe + CsI reaction with Xe beam energy 3.9 GeV in the full BM@N detectors environment. Results of the test will be presented and discussed.
| Consider for long presentation | No |
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Co-authors
Derkach, Denis
(HSE University)
Golubeva, Marina
(INR RAS)
Guber, Fedor
(INR RAS)
Morozov, Sergey
(INR RAS)
Bocharnikov, Vladimir
(HSE)
