Chen, Y.; Ereditato, A.; Kreslo, I.; Mettler, T.; Sinclair, J.; Weber, M. (2022). Wire-cell 3D pattern recognition techniques for neutrino event reconstruction in large LArTPCs: algorithm description and quantitative evaluation with MicroBooNE simulation. Journal of instrumentation, 17(01), P01037. Institute of Physics Publishing IOP 10.1088/1748-0221/17/01/P01037
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Abratenko_2022_J._Inst._17_P01037.pdf - Published Version Available under License Publisher holds Copyright. Download (3MB) | Preview |
Wire-Cell is a 3D event reconstruction package for liquid argon time projection chambers. Through geometry, time, and drifted charge from multiple readout wire planes, 3D space points with associated charge are reconstructed prior to the pattern recognition stage. Pattern recognition techniques, including track trajectory and dQ/dx (ionization charge per unit length) fitting, 3D neutrino vertex fitting, track and shower separation, particle-level clustering, and particle identification are then applied on these 3D space points as well as the original 2D projection measurements. A deep neural network is developed to enhance the reconstruction of the neutrino interaction vertex. Compared to traditional algorithms, the deep neural network boosts the vertex efficiency by a relative 30% for charged-current νe interactions. This pattern recognition achieves 80–90% reconstruction efficiencies for primary leptons, after a 65.8% (72.9%) vertex efficiency for charged-current νe (νμ) interactions. Based on the resulting reconstructed particles and their kinematics, we also achieve 15-20% energy reconstruction resolutions for charged-current neutrino interactions.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Physics Institute > Laboratory for High Energy Physics (LHEP) 10 Strategic Research Centers > Albert Einstein Center for Fundamental Physics (AEC) |
UniBE Contributor: |
Chen, Yifan, Ereditato, Antonio, Kreslo, Igor, Mettler, Thomas Josua, Sinclair, James Robert, Weber, Michele |
Subjects: |
500 Science > 530 Physics |
ISSN: |
1748-0221 |
Publisher: |
Institute of Physics Publishing IOP |
Language: |
English |
Submitter: |
BORIS Import LHEP |
Date Deposited: |
13 Apr 2023 14:17 |
Last Modified: |
16 Apr 2023 02:18 |
Publisher DOI: |
10.1088/1748-0221/17/01/P01037 |
Additional Information: |
Kollaboration - Es sind nur die Berner Autor*innen namentlich erwaehnt |
BORIS DOI: |
10.48350/181441 |
URI: |
https://boris.unibe.ch/id/eprint/181441 |
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