Journal article
Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber
- Abstract:
-
We have developed a convolutional neural network that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- American Physical Society Publisher's website
- Journal:
- Physical Review D Journal website
- Volume:
- 99
- Issue:
- 9
- Article number:
- 092001
- Publication date:
- 2019-05-07
- DOI:
- EISSN:
-
2470-0029
- ISSN:
-
2470-0010
Item Description
- Keywords:
- Pubs id:
-
pubs:910060
- UUID:
-
uuid:c57cd89d-1ace-4036-ab29-12f34cff23c7
- Local pid:
- pubs:910060
- Source identifiers:
-
910060
- Deposit date:
- 2019-09-26
Terms of use
- Copyright holder:
- Adams et al
- Copyright date:
- 2019
- Notes:
- Copyright 2019 The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license.
- Licence:
- CC Attribution (CC BY)
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