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Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching
dc.contributor.author | Abratenko, P. | |
dc.contributor.author | García Gámez, Diego | |
dc.contributor.author | MicroBooNE Collaboration | |
dc.date.accessioned | 2021-10-20T10:24:47Z | |
dc.date.available | 2021-10-20T10:24:47Z | |
dc.date.issued | 2021-03-24 | |
dc.identifier.citation | Published version: The MicroBooNE collaboration et al 2021 JINST 16 P06043 [https://doi.org/10.1088/1748-0221/16/06/P06043] | es_ES |
dc.identifier.uri | http://hdl.handle.net/10481/71012 | |
dc.description | This document is prepared by the MicroBooNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the following: the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; and The Royal Society (United Kingdom). Additional support for the laser calibration system and cosmic ray tagger is provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. | es_ES |
dc.description.abstract | An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches. Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method for LArTPCs. The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and geometry information to reconstruct a topology-agnostic 3D image of the ionization electrons prior to pattern recognition. A second novel method, the many-to-many charge-light matching, then pairs the TPC charge activity to the detected scintillation light signal, thus enabling a powerful rejection of cosmic-ray muons in the MicroBooNE detector. A robust processing of the scintillation light signal and an appropriate clustering of the reconstructed 3D image are fundamental to this technique. In this paper, we describe the principles and algorithms of these techniques and their successful application in the MicroBooNE experiment. A quantitative evaluation of the performance of these techniques is presented. Using these techniques, a 95% efficient pre-selection of neutrino charged-current events is achieved with a 30-fold reduction of non-beam-coincident cosmic-ray muons, and about 80% of the selected neutrino charged-current events are reconstructed with at least 70% completeness and 80% purity. | es_ES |
dc.description.sponsorship | Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359 | es_ES |
dc.description.sponsorship | United States Department of Energy (DOE) | es_ES |
dc.description.sponsorship | National Science Foundation (NSF) | es_ES |
dc.description.sponsorship | Swiss National Science Foundation (SNSF) European Commission | es_ES |
dc.description.sponsorship | Science and Technology Facilities Council (STFC), United Kingdom Research and Innovation | es_ES |
dc.description.sponsorship | Royal Society of London | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IOP Publishing | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | LArTPC | es_ES |
dc.subject | MicroBooNE | es_ES |
dc.subject | Wire-Cell | es_ES |
dc.subject | 3D imaging | es_ES |
dc.subject | Charge-light matching | es_ES |
dc.subject | Clustering | es_ES |
dc.title | Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.type.hasVersion | SMUR | es_ES |