Machine Learning for electromagnetic showers reconstruction in emulsion cloud chambers

S. Shirobokov, A. Filatov, V. Belavin, A. Ustyuzhanin

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Traces of electromagnetic showers in the neutrino experiments may be considered as signals of dark matter particles. For example, SHiP experiment is going to use emulsion film detectors similar to the ones designed for OPERA experiment from dark matter search. The goal of this research is to develop an algorithm that can identify traces of electromagnetic showers in particle detectors, so it would be possible to analyse and compare various dark matter hypothesis. Both real data and signal simulation samples for this research come from OPERA experiment. Also we have used exploited algorithm for electromagnetic showers identification as a baseline. Although in this research we have used no hints about shower origin.

Original languageEnglish
Article number042025
JournalJournal of Physics: Conference Series
Issue number4
StatePublished - 18 Oct 2018
Externally publishedYes
Event18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2017 - Seattle, United States
Duration: 21 Aug 201725 Aug 2017


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