Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector
Measurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection...
| Autores: | , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/364025 |
| Acesso em linha: | http://hdl.handle.net/10261/364025 |
| Access Level: | acceso abierto |
| id |
ES_2a1f5a5390fcba1f39276c258da94c19 |
|---|---|
| oai_identifier_str |
oai:digital.csic.es:10261/364025 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detectorAbud, A. AbedAmedo, P.Antonova, M.Barenboim, GabrielaCervera Villanueva, AnselmoDe Romeri, V.García-Peris, M.A.Martín-Albo, JustoMartínez-Miravé, PabloMena, OlgaMolina Bueno, LauraNovella, PauPompa, FedericaRocabado Rocha, J.L.Sorel, MichelTórtola, MariamValle, J.W.F.DUNE CollaborationMeasurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectra is derived, and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of lost energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons.Peer reviewedAmerican Physical SocietyEuropean CommissionMinisterio de Ciencia e Innovación (España)Generalitat ValencianaAgencia Estatal de Investigación (España)Junta de AndalucíaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2024202420232024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/364025reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/754496info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124591NB-C41info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124591NB-C42info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124591NB-C43info:eu-repo/grantAgreement/EC/H2020/101025085http://dx.doi.org/10.1103/PhysRevD.107.092012Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3640252026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| title |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| spellingShingle |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector Abud, A. Abed |
| title_short |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| title_full |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| title_fullStr |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| title_full_unstemmed |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| title_sort |
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector |
| dc.creator.none.fl_str_mv |
Abud, A. Abed Amedo, P. Antonova, M. Barenboim, Gabriela Cervera Villanueva, Anselmo De Romeri, V. García-Peris, M.A. Martín-Albo, Justo Martínez-Miravé, Pablo Mena, Olga Molina Bueno, Laura Novella, Pau Pompa, Federica Rocabado Rocha, J.L. Sorel, Michel Tórtola, Mariam Valle, J.W.F. DUNE Collaboration |
| author |
Abud, A. Abed |
| author_facet |
Abud, A. Abed Amedo, P. Antonova, M. Barenboim, Gabriela Cervera Villanueva, Anselmo De Romeri, V. García-Peris, M.A. Martín-Albo, Justo Martínez-Miravé, Pablo Mena, Olga Molina Bueno, Laura Novella, Pau Pompa, Federica Rocabado Rocha, J.L. Sorel, Michel Tórtola, Mariam Valle, J.W.F. DUNE Collaboration |
| author_role |
author |
| author2 |
Amedo, P. Antonova, M. Barenboim, Gabriela Cervera Villanueva, Anselmo De Romeri, V. García-Peris, M.A. Martín-Albo, Justo Martínez-Miravé, Pablo Mena, Olga Molina Bueno, Laura Novella, Pau Pompa, Federica Rocabado Rocha, J.L. Sorel, Michel Tórtola, Mariam Valle, J.W.F. DUNE Collaboration |
| author2_role |
author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission Ministerio de Ciencia e Innovación (España) Generalitat Valenciana Agencia Estatal de Investigación (España) Junta de Andalucía Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| description |
Measurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectra is derived, and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of lost energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2024 2024 2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/364025 |
| url |
http://hdl.handle.net/10261/364025 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/754496 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124591NB-C41 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124591NB-C42 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124591NB-C43 info:eu-repo/grantAgreement/EC/H2020/101025085 http://dx.doi.org/10.1103/PhysRevD.107.092012 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
American Physical Society |
| publisher.none.fl_str_mv |
American Physical Society |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869405050061717504 |
| score |
15,812429 |