Separation of and events using SND detector calorimeter
arXiv:1611.07729 · doi:10.1088/1748-0221/12/01/T01002
Abstract
The technique of discrimination of the and events in energy range GeV by energy deposition in the calorimeter of SND detector was developed by applying machine learning method. Identification efficiency for and events in the range from 99.3 to 99.8 % has been achived.
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