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dc.contributor.authorDUNE Collaboration
dc.date.accessioned2023-07-07T11:50:42Z
dc.date.available2023-07-07T11:50:42Z
dc.date.issued2023
dc.identifier.citationDUNE Collaboration. (2023). Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector. <i>Physical Review D</i>, <i>107</i>(9), Article 092012. <a href="https://doi.org/10.1103/PhysRevD.107.092012" target="_blank">https://doi.org/10.1103/PhysRevD.107.092012</a>
dc.identifier.otherCONVID_183819086
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/88314
dc.description.abstractMeasurements 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherAmerican Physical Society (APS)
dc.relation.ispartofseriesPhysical Review D
dc.rightsCC BY 4.0
dc.titleIdentification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202307074441
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2470-0010
dc.relation.numberinseries9
dc.relation.volume107
dc.type.versionpublishedVersion
dc.rights.copyright© 2023 the Authors
dc.rights.accesslevelopenAccessfi
dc.subject.ysohiukkasfysiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p15576
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1103/PhysRevD.107.092012
jyx.fundinginformationThe ProtoDUNE-SP detector was constructed and operated on the CERN Neutrino Platform. We thank the CERN management for providing the infrastructure for this experiment and gratefully acknowledge the support of the CERN Experimental physics (EP), Beams (BE), Technology (TE), Engineering (EN), Information Technology (IT), and Industry, Procurement and Knowledge Transfer (IPT) Departments for NP04/ProtoDUNE-SP. This document was prepared by the DUNE 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. This work was supported by CNPq, FAPERJ, FAPEG, and FAPESP, Brazil; Canada Foundation for Innovation (CFI), Institute of Particle Physics (IPP), and NSERC, Canada; CERN; MšMT, Czech Republic; ERDF, H2020-EU, and MSCA, European Union; CNRS/IN2P3 and CEA, France; INFN, Italy; FCT, Portugal; NRF, South Korea; Comunidad de Madrid (CAM), Fundación “La Caixa,” and MICINN, Spain; SERI and SNSF, Switzerland; TüBİTAK, Turkey; The Royal Society and UKRI/STFC, United Kingdom; DOE and NSF, USA. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
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