Publication: Machine learning approach to pulse shape discrimination in liquid noble gas detectors
Дата
2019
Авторы
Grobov, A.
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Аннотация
© Published under licence by IOP Publishing Ltd.Study of the event classification in liquid noble gas detectors is presented. The discrimination between different events usually done by prompt light fraction. To tackle this task we adopt the neural net classifier and use pulse shape as an input feature. The main difficulty comes from low-energy events that are difficult to separate. This is important because these events provide a background for dark matter searches. We find that neural networks are suitable for this task.
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Цитирование
Grobov, A. Machine learning approach to pulse shape discrimination in liquid noble gas detectors / Grobov, A. // Journal of Physics: Conference Series. - 2019. - 1390. - № 1. - 10.1088/1742-6596/1390/1/012110
URI
https://www.doi.org/10.1088/1742-6596/1390/1/012110
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85077810261&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000520000100110
https://openrepository.mephi.ru/handle/123456789/19297