Accuracy of the reactor core simulations for determination of the antineutrino spectrum for the solid experiment at the BR2 reactor

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

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  • SUBATECH - Co-operated by École des mines de Nantes/Université de Nantes

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Abstract

Discrepancies observed between measured data and theoretical predictions of reactor antineutrino experiments at short distances are known as the Reactor Antineutrino Anomaly (RAA). RAA require an accurate assessment of the flux and energy spectrum of electron antineutrinos taking into account the various sources of systematic errors due to theoretical and experimental uncertainties. The strategy of the SoLid collaboration is to use state-of-theart methods to predict the antineutrino flux and energy spectrum, based on a detailed 3D model of the BR2 core for the MCNP6 (CINDER'90) code. In this paper, we discuss the various assumptions and approximations adopted in the BR2 reactor core model and their effect on the calculated fission rates and antineutrino spectrum.

Details

Original languageEnglish
Title of host publicationInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2019)
Subtitle of host publicationProceedings of a meeting held 25-29 August 2019, Portland, Oregon, USA.
PublisherANS - American Nuclear Society
Pages991-1001
Number of pages11
ISBN (Print)9780894487699
Publication statusPublished - Aug 2019
EventInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering 2019 - Portland Mariott Downtown Waterfrond, Portland, United States
Duration: 25 Aug 201929 Aug 2019
https://www.mc2019.org/

Conference

ConferenceInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering 2019
Abbreviated titleM and C 2019
CountryUnited States
CityPortland
Period2019-08-252019-08-29
Internet address

Keywords

  • Fission rates, Depletion, Antineutrino, BR2, MCNP6

ID: 6736350