Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching
<jats:title>Abstract</jats:title> <jats:p>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 massi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2022
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| Online Access: | https://hdl.handle.net/1721.1/142010 |
| _version_ | 1811069718153396224 |
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| author | Conrad, Janet Hen, Or |
| author2 | Massachusetts Institute of Technology. Department of Physics |
| author_facet | Massachusetts Institute of Technology. Department of Physics Conrad, Janet Hen, Or |
| author_sort | Conrad, Janet |
| collection | MIT |
| description | <jats:title>Abstract</jats:title>
<jats:p>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. </jats:p> |
| first_indexed | 2024-09-23T08:14:48Z |
| format | Article |
| id | mit-1721.1/142010 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:14:48Z |
| publishDate | 2022 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1420102023-07-28T20:46:42Z Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching Conrad, Janet Hen, Or Massachusetts Institute of Technology. Department of Physics <jats:title>Abstract</jats:title> <jats:p>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. </jats:p> 2022-04-21T15:44:08Z 2022-04-21T15:44:08Z 2021 2022-04-21T15:38:31Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142010 Conrad, Janet and Hen, Or. 2021. "Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching." Journal of Instrumentation, 16 (06). en 10.1088/1748-0221/16/06/P06043 Journal of Instrumentation Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf IOP Publishing arXiv |
| spellingShingle | Conrad, Janet Hen, Or Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching |
| title | Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching |
| title_full | Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching |
| title_fullStr | Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching |
| title_full_unstemmed | Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching |
| title_short | Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching |
| title_sort | neutrino event selection in the microboone liquid argon time projection chamber using wire cell 3d imaging clustering and charge light matching |
| url | https://hdl.handle.net/1721.1/142010 |
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