Electromagnetic shower reconstruction and energy validation with Michel electrons and π 0 samples for the deep-learning-based analyses in MicroBooNE
<jats:title>Abstract</jats:title> <jats:p>This article presents the reconstruction of the electromagnetic activity from electrons and photons (showers) used in the MicroBooNE deep learning-based low energy electron search. The reconstruction algorithm uses...
Main Authors: | Hen, Or, Conrad, Janet |
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Other Authors: | Massachusetts Institute of Technology. Department of Physics |
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2022
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Online Access: | https://hdl.handle.net/1721.1/142006 |
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