Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array

Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array

New deep learning techniques present promising new analysis methods for Imaging Atmospheric Cherenkov Telescopes (IACTs) such as the upcoming Cherenkov Telescope Array (CTA). In particular, the use of Convolutional Neural Networks (CNNs) could provide a direct event classification method that uses t...

Полное описание

Библиографические подробности
Главные авторы:	Spencer, ST, Armstrong, T, Watson, J, Mangano, S, Renier, Y, Cotter, G
Формат:	Journal article
Язык:	English
Опубликовано:	Elsevier 2021

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