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...
| 主要な著者: | , , , , , |
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| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
Elsevier
2021
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