Point proposal network for reconstructing 3D particle endpoints with subpixel precision in liquid argon time projection chambers

Dominé, Laura; de Soux, Pierre Côte; Drielsma, François; Koh, Dae Heun; Itay, Ran; Lin, Qing; Terao, Kazuhiro; Tsang, Ka Vang; Usher, Tracy L.

doi:10.1103/PhysRevD.104.032004

Title: Point proposal network for reconstructing 3D particle endpoints with subpixel precision in liquid argon time projection chambers

Journal Article · 17 August 2021 · Physical Review D

DOI: https://doi.org/10.1103/PhysRevD.104.032004 · OSTI ID:1814037

; de Soux, Pierre Côte; Drielsma, François; Koh, Dae Heun; Itay, Ran; Lin, Qing; Terao, Kazuhiro; Tsang, Ka Vang; Usher, Tracy L.

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Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 1814037

Journal Information:: Physical Review D, Journal Name: Physical Review D Journal Issue: 3 Vol. 104; ISSN PRVDAQ; ISSN 2470-0010

Publisher:: American Physical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Machine learning at the energy and intensity frontiers of particle physics Radovic, Alexander; Williams, Mike; Rousseau, David Nature, Vol. 560, Issue 7716 https://doi.org/10.1038/s41586-018-0361-2	journal	August 2018
Design and construction of the MicroBooNE detector Acciarri, R.; Adams, C.; An, R. Journal of Instrumentation, Vol. 12, Issue 02 https://doi.org/10.1088/1748-0221/12/02/P02017	journal	February 2017
Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber Acciarri, R.; Adams, C.; An, R. Journal of Instrumentation, Vol. 12, Issue 03 https://doi.org/10.1088/1748-0221/12/03/P03011	journal	March 2017
Scalable deep convolutional neural networks for sparse, locally dense liquid argon time projection chamber data Dominé, Laura; Terao, Kazuhiro Physical Review D, Vol. 102, Issue 1 https://doi.org/10.1103/PhysRevD.102.012005	journal	July 2020
Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber Adams, C.; Alrashed, M.; An, R. Physical Review D, Vol. 99, Issue 9 https://doi.org/10.1103/PhysRevD.99.092001	journal	May 2019
The Pandora software development kit for pattern recognition Marshall, J. S.; Thomson, M. A. The European Physical Journal C, Vol. 75, Issue 9 https://doi.org/10.1140/epjc/s10052-015-3659-3	journal	September 2015
The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector Acciarri, R.; Adams, C.; An, R. The European Physical Journal C, Vol. 78, Issue 1 https://doi.org/10.1140/epjc/s10052-017-5481-6	journal	January 2018
Enhancing reproducibility in scientific computing: Metrics and registry for Singularity containers Sochat, Vanessa V.; Prybol, Cameron J.; Kurtzer, Gregory M. PLOS ONE, Vol. 12, Issue 11 https://doi.org/10.1371/journal.pone.0188511	journal	November 2017

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