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dc.contributor.authorJUNO collaboration
dc.date.accessioned2022-10-26T07:12:00Z
dc.date.available2022-10-26T07:12:00Z
dc.date.issued2022
dc.identifier.citationJUNO collaboration. (2022). Prospects for detecting the diffuse supernova neutrino background with JUNO. <i>Journal of Cosmology and Astroparticle Physics</i>, <i>2022</i>(10), Article 033. <a href="https://doi.org/10.1088/1475-7516/2022/10/033" target="_blank">https://doi.org/10.1088/1475-7516/2022/10/033</a>
dc.identifier.otherCONVID_159112021
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/83699
dc.description.abstractWe present the detection potential for the diffuse supernova neutrino background (DSNB) at the Jiangmen Underground Neutrino Observatory (JUNO), using the inverse-beta-decay (IBD) detection channel on free protons. We employ the latest information on the DSNB flux predictions, and investigate in detail the background and its reduction for the DSNB search at JUNO. The atmospheric neutrino induced neutral current (NC) background turns out to be the most critical background, whose uncertainty is carefully evaluated from both the spread of model predictions and an envisaged in situ measurement. We also make a careful study on the background suppression with the pulse shape discrimination (PSD) and triple coincidence (TC) cuts. With latest DSNB signal predictions, more realistic background evaluation and PSD efficiency optimization, and additional TC cut, JUNO can reach the significance of 3σ for 3 years of data taking, and achieve better than 5σ after 10 years for a reference DSNB model. In the pessimistic scenario of non-observation, JUNO would strongly improve the limits and exclude a significant region of the model parameter space.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherIOP Publishing
dc.relation.ispartofseriesJournal of Cosmology and Astroparticle Physics
dc.rightsIn Copyright
dc.subject.otherdiffuse supernova neutrino background
dc.subject.otherdetection potential
dc.subject.otherJUNO
dc.titleProspects for detecting the diffuse supernova neutrino background with JUNO
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202210265008
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.contributor.oppiaineFysiikkafi
dc.contributor.oppiaineYdin- ja kiihdytinfysiikan huippuyksikköfi
dc.contributor.oppiainePhysicsen
dc.contributor.oppiaineCentre of Excellence in Nuclear and Accelerator Based Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1475-7516
dc.relation.numberinseries10
dc.relation.volume2022
dc.type.versionacceptedVersion
dc.rights.copyright© 2022 IOP Publishing Ltd and Sissa Medialab
dc.rights.accesslevelopenAccessfi
dc.subject.ysotutkimuslaitteet
dc.subject.ysohiukkasfysiikka
dc.subject.ysoneutriinot
dc.subject.ysoastrofysiikka
dc.subject.ysoilmaisimet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2440
jyx.subject.urihttp://www.yso.fi/onto/yso/p15576
jyx.subject.urihttp://www.yso.fi/onto/yso/p5219
jyx.subject.urihttp://www.yso.fi/onto/yso/p20188
jyx.subject.urihttp://www.yso.fi/onto/yso/p4220
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1088/1475-7516/2022/10/033
jyx.fundinginformationThis work was supported by the Chinese Academy of Sciences, the National Key R&D Program of China, the CAS Center for Excellence in Particle Physics, Wuyi University, and the Tsung-Dao Lee Institute of Shanghai Jiao Tong University in China, the Institut National de Physique Nucl´eaire et de Physique de Particules (IN2P3) in France, the Istituto Nazionale di Fisica Nucleare (INFN) in Italy, the Italian-Chinese collaborative research program MAECI-NSFC, the Fond de la Recherche Scientifique (F.R.S-FNRS) and FWO under the “Excellence of Science – EOS” in Belgium, the Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnol`ogico in Brazil, the Agencia Nacional de Investigacion y Desarrollo and ANID - Millennium Science Initiative Program - ICN2019 044 in Chile, the Charles University Research Centre and the Ministry of Education, Youth, and Sports in Czech Republic, the Deutsche Forschungsgemeinschaft (DFG), the Helmholtz Association and its Recruitment Initiative, and the Cluster of Excellence PRISMA+ in Germany, the Joint Institute of Nuclear Research (JINR) and Lomonosov Moscow State University in Russia, the joint Russian Science Foundation (RSF) and National Natural Science Foundation of China (NSFC) research program, the MOST and MOE in Taiwan, the Chulalongkorn University and Suranaree University of Technology in Thailand, University of California at Irvine and the National Science Foundation in USA.
dc.type.okmA1


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