Electromagnetic shower reconstruction and energy validation with Michel electrons and π0 samples for the deep-learning-based analyses in MicroBooNE
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 a combination of traditional and deep learning-based techniques to estimate shower en...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal article |
| Language: | English |
| Published: |
IOP Publishing
2021
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