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...
| Auteurs principaux: | , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2021
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