Journal
CHINESE PHYSICS C
Volume 45, Issue 7, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1674-1137/abfc38
Keywords
reactor antineutrino; energy spectrum; Daya Bay; application
Categories
Funding
- Ministry of Science and Technology of China
- U.S. Department of Energy
- Chinese Academy of Sciences
- CAS Center for Excellence in Particle Physics
- National Natural Science Foundation of China
- Guangdong provincial government
- Shenzhen municipal government
- China General Nuclear Power Group
- Research Grants Council of the Hong Kong Special Administrative Region of China
- Ministry of Education in TW
- U.S. National Science Foundation
- Ministry of Education, Youth, and Sports of the Czech Republic
- Charles University Research Centre UNCE
- Joint Institute of Nuclear Research in Dubna, Russia
- National Commission of Scientific and Technological Research of Chile
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The prediction of reactor antineutrino energy spectra is crucial for future precision experiments, with techniques like using observed positron energy spectra from Daya Bay experiment and fission rates of fissile isotopes. Various methods, including Wiener-SVD unfolding, can be used to accurately extract the antineutrino energy spectra. Additionally, a technique for predicting antineutrino spectra based on reactor fission fractions with a 2% precision has been proposed.
The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment, in combination with the fission rates of fissile isotopes in the reactor, is used to extract the positron energy spectra resulting from the fission of specific isotopes. This information can be used to produce a precise, data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya Bay. The positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding method. Consistent results are obtained with other unfolding methods. A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and investigated. Given the reactor fission fractions, the technique can predict the energy spectrum to a 2% precision. In addition, we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.
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