Dissecting Reactor Antineutrino Flux Calculations

A. A. Sonzogni, E. A. McCutchan, and A. C. Hayes
Phys. Rev. Lett. 119, 112501 – Published 15 September 2017

Abstract

Current predictions for the antineutrino yield and spectra from a nuclear reactor rely on the experimental electron spectra from U235, Pu239, Pu241 and a numerical method to convert these aggregate electron spectra into their corresponding antineutrino ones. In the present work we investigate quantitatively some of the basic assumptions and approximations used in the conversion method, studying first the compatibility between two recent approaches for calculating electron and antineutrino spectra. We then explore different possibilities for the disagreement between the measured Daya Bay and the Huber-Mueller antineutrino spectra, including the U238 contribution as well as the effective charge and the allowed shape assumption used in the conversion method. We observe that including a shape correction of about +6%MeV1 in conversion calculations can better describe the Daya Bay spectrum. Because of a lack of experimental data, this correction cannot be ruled out, concluding that in order to confirm the existence of the reactor neutrino anomaly, or even quantify it, precisely measured electron spectra for about 50 relevant fission products are needed. With the advent of new rare ion facilities, the measurement of shape factors for these nuclides, for many of which precise beta intensity data from TAGS experiments already exist, would be highly desirable.

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  • Received 19 April 2017

DOI:https://doi.org/10.1103/PhysRevLett.119.112501

© 2017 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

A. A. Sonzogni1,*, E. A. McCutchan1, and A. C. Hayes2

  • 1National Nuclear Data Center, Building. 817, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
  • 2T-2 Theoretical Division MS283, Los Alamos National Laboratory, Los Alamos, New Mexico 8545, USA

  • *sonzogni@bnl.gov

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Issue

Vol. 119, Iss. 11 — 15 September 2017

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