Speakers
Dr
Dmitry Podgainy
(JINR)Dr
Oksana Streltsova
(JINR)
Description
We apply several machine-learning (ML) algorithms for identification and separation of the neutron and gamma-ray signals coming from the DEMON (DEtecteur MOdulaire de Neutrons) detector. The ML-predictions have been contrasted with the results obtained within a standard method based on an integral-area scheme. In the situations where the standard method fails a properly trained ML-algorithm provides more adequate predictions and, therefore, performs much better.
Primary author
Dr
Dmitry Podgainy
(JINR)
Co-authors
Dr
A.I Streltsov
(Institut für Physik und CINSaT, Universität Kassel, Germany)
E.M. Kozulin
(JINR)
Dr
Oksana Streltsova
(JINR)
Mr
Yurii Butenko
(JINR)
