25-29 September 2017
Montenegro, Budva, Becici
Europe/Podgorica timezone

The development on HYBRILIT of the Machine-learning algorithms for identification and separation of the neutron and gamma-ray signals obtained from the DEMON detector

29 Sep 2017, 11:40
15m
Conference Hall (Montenegro, Budva, Becici)

Conference Hall

Montenegro, Budva, Becici

Splendid Conference & SPA Resort, 85315 Becici, Montenegro Hotel Splendid

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

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)

Presentation Materials