Deep Learning Study of an Electromagnetic Calorimeter
The accurate and precise extraction of information from a modern particle detector, such as an electromagnetic calorimeter, may be complicated and challenging. In order to overcome the difficulties, we process the simulated detector outputs using the deep-learning methodology. Our algorithmic approa...
Main Authors: | Elihu Sela, Shan Huang, David Horn |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/15/4/115 |
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