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Improved measurement of the reactor antineutrino flux at Daya Bay

Adey, D. and McKeown, R. D. (2019) Improved measurement of the reactor antineutrino flux at Daya Bay. Physical Review D, 100 (5). Art. No. 052004. ISSN 2470-0010. https://resolver.caltech.edu/CaltechAUTHORS:20190909-095148842

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Abstract

This work reports a precise measurement of the reactor antineutrino flux using 2.2 million inverse beta decay (IBD) events collected with the Daya Bay near detectors in 1230 days. The dominant uncertainty on the neutron detection efficiency is reduced by 56% with respect to the previous measurement through a comprehensive neutron calibration and detailed data and simulation analysis. The new average IBD yield is determined to be (5.91±0.09)×10^(−43)  cm^2/fission with total uncertainty improved by 29%. The corresponding mean fission fractions from the four main fission isotopes ^(235)U, ^(238)U, ^(239)Pu, and ^(241)Pu are 0.564, 0.076, 0.304, and 0.056, respectively. The ratio of measured to predicted antineutrino yield is found to be 0.952±0.014±0.023 (1.001±0.015±0.027) for the Huber-Mueller (ILL-Vogel) model, where the first and second uncertainty are experimental and theoretical model uncertainty, respectively. This measurement confirms the discrepancy between the world average of reactor antineutrino flux and the Huber-Mueller model.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/PhysRevD.100.052004DOIArticle
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.100.052004PublisherArticle
https://arxiv.org/abs/1808.10836arXivDiscussion Paper
Additional Information:© 2019 Published by the American Physical Society. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3. Received 3 September 2018; published 9 September 2019. The Daya Bay Experiment is supported in part by the Ministry of Science and Technology of China, the U.S. Department of Energy, the Chinese Academy of Sciences, the CAS Center for Excellence in Particle Physics, the National Natural Science Foundation of China, the Guangdong provincial government, the Shenzhen municipal government, the China General Nuclear Power Group, the Research Grants Council of the Hong Kong Special Administrative Region of China, the Ministry of Education in Taiwan, the U.S. National Science Foundation, the Ministry of Education, Youth, and Sports of the Czech Republic, the Charles University Research Centre UNCE, the Joint Institute of Nuclear Research in Dubna, Russia, the NSFC-RFBR joint research program, the National Commission of Scientific and Technological Research of Chile, We acknowledge Yellow River Engineering Consulting Co., Ltd., and China Railway 15th Bureau Group Co., Ltd., for building the underground laboratory. We are grateful for the ongoing cooperation from the China Guangdong Nuclear Power Group and China Light & Power Company.
Funders:
Funding AgencyGrant Number
Ministry of Science and Technology (Taipei)UNSPECIFIED
Department of Energy (DOE)UNSPECIFIED
Chinese Academy of SciencesUNSPECIFIED
CAS Center for Excellence in Particle PhysicsUNSPECIFIED
National Natural Science Foundation of ChinaUNSPECIFIED
Guangdong Provincial GovernmentUNSPECIFIED
Shenzhen Municipal GovernmentUNSPECIFIED
China General Nuclear Power GroupUNSPECIFIED
Research Grants Council of the Hong Kong Special Administrative Region of ChinaUNSPECIFIED
Ministry of Education (Taipei)UNSPECIFIED
NSFUNSPECIFIED
Ministry of Education, Youth, and Sports of the Czech RepublicUNSPECIFIED
Charles University Research CentreUNSPECIFIED
Joint Institute of Nuclear Research (Dubna)UNSPECIFIED
NSFC-RFBR Joint Research ProgramUNSPECIFIED
Russian Foundation for Basic ResearchUNSPECIFIED
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)UNSPECIFIED
SCOAP3UNSPECIFIED
Issue or Number:5
Record Number:CaltechAUTHORS:20190909-095148842
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190909-095148842
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98516
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Sep 2019 17:08
Last Modified:03 Oct 2019 21:41

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