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Reactor Neutrino Spectra

Hayes, Anna C. and Vogel, Petr (2016) Reactor Neutrino Spectra. Annual Review of Nuclear and Particle Science, 66 . pp. 219-244. ISSN 0163-8998.

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We present a review of the antineutrino spectra emitted from reactors. Knowledge of these spectra and their associated uncertainties is crucial for neutrino oscillation studies. The spectra used to date have been determined either by converting measured electron spectra to antineutrino spectra or by summing over all of the thousands of transitions that make up the spectra, using modern databases as input. The uncertainties in the subdominant corrections to β-decay plague both methods, and we provide estimates of these uncertainties. Improving on current knowledge of the antineutrino spectra from reactors will require new experiments. Such experiments would also address the so-called reactor neutrino anomaly and the possible origin of the shoulder observed in the antineutrino spectra measured in recent high-statistics reactor neutrino experiments.

Item Type:Article
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URLURL TypeDescription Paper
Vogel, Petr0000-0003-0587-5466
Additional Information:© 2016 Annual Reviews. A.C.H. thanks the Laboratory Directed Research and Development program at Los Alamos National Laboratory for partial support during the writing of this review. P.V. thanks the Physics Department at the California Institute of Technology for partial support. Both authors thank Jim Friar, Gerry Garvey, Alejandro Sonzogni, Libby McCutchan, Jerry Jungman, and members of the Daya Bay, Double Chooz, and RENO experimental teams for valuable discussions. The authors are not aware of any affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this review.
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Los Alamos National Laboratory (LANL)UNSPECIFIED
Subject Keywords:reactor, antineutrino, uranium, plutonium, oscillations, anomaly
Record Number:CaltechAUTHORS:20161021-142945241
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Official Citation:Reactor Neutrino Spectra Anna C. Hayes and Petr Vogel Annual Review of Nuclear and Particle Science, Vol. 66: 219 -244 (Volume publication date October 2016)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:71358
Deposited By: Tony Diaz
Deposited On:21 Oct 2016 21:35
Last Modified:03 Mar 2020 13:01

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