Publication: Convolutional neural network approach to event position reconstruction in DarkSide-50 experiment
Дата
2020
Авторы
Journal Title
Journal ISSN
Volume Title
Издатель
Аннотация
© 2020 Institute of Physics Publishing. All rights reserved.Neural networks are currently used in various fields of science and technology, as well as in experiments related to particle physics. DarkSide-50 is a two-phase (liquid and gas) argon TPC which has two main signals: scintillation in LAr (S1 signal) and electroluminescence in GAr (S2 signal) [1]. In the low-mass dark matter search only the more energetic second signal is used for position reconstruction [2]. As a result only events detected by seven central photomultiplier tubes are used for the analysis. Here we attempt to improve reconstruction using the convolutional neural networks (CNN).
Описание
Ключевые слова
Цитирование
Grobov, A. Convolutional neural network approach to event position reconstruction in DarkSide-50 experiment / Grobov, A., Ilyasov, A. // Journal of Physics: Conference Series. - 2020. - 1690. - № 1. - 10.1088/1742-6596/1690/1/012013