Comprehensive revision of the summation method for the prediction of reactor 
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 fluxes and spectra

Périssé, Lorenzo; Onillon, Anthony; Mougeot, Xavier; Vivier, Matthieu; Lasserre, Thierry; Letourneau, Alain; Lhuillier, David; Mention, Guillaume

doi:10.1103/physrevc.108.055501

Phys. Rev. C

2023

DOI: 10.1103/physrevc.108.055501

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Comprehensive revision of the summation method for the prediction of reactor ν¯e fluxes and spectra

Lorenzo Périssé,

Anthony Onillon,

Xavier Mougeot

et al.

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2024

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Cited by 3 publications

References 118 publications

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Reactor neutrino background in next-generation dark matter detectors

Sierra,

De Romeri,

Ternes

2024

Phys. Rev. D

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Third-generation dark matter detectors will be fully sensitive to the B8 solar neutrino flux. Because of this, the characterization of such a background has been the subject of extensive analyses over the last few years. In contrast, little is known about the impact of reactor neutrinos. In this paper, we report on the implications of such a flux for dark matter direct-detection searches. We consider five potential detector deployment sites envisioned by the recently established XLZD Consortium: SURF, SNOLAB, Kamioka, LNGS, and Boulby. By using public reactor data, we construct five reactor clusters—involving about 100 currently operating commercial nuclear reactors each—and determine the net neutrino flux at each detector site. Assuming a xenon-based detector and a 50 ton-year exposure, we show that in all cases the neutrino event rate may be sizable, depending on energy recoil thresholds. Of all possible detector sites, SURF and LNGS are those with the smallest reactor neutrino background. On the contrary, SNOLAB and Boulby are subject to the strongest reactor neutrino fluxes, with Kamioka being subject to a more moderate background. Our findings demonstrate that reactor neutrino fluxes should be taken into account in the next round of dark matter searches. We argue that this background may be particularly relevant for directional detectors, provided they meet the requirements we have employed in this analysis. Published by the American Physical Society 2024

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Reactor neutrino background in next-generation dark matter detectors

Sierra,

De Romeri,

Ternes

2024

Phys. Rev. D

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Neutrino charge radius and additional one-loop radiative corrections at ultranear reactor experiments

Brdar,

Leite,

Parker

et al. 2024

Phys. Rev. D

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We scrutinize the potential of upcoming ultranear reactor neutrino experiments to detect radiative corrections in the elastic neutrino-electron scattering channel, focusing on the JUNO-TAO and CLOUD detectors, which employ advanced scintillator detection technologies. Previous reactor experiments have already constrained the electron neutrino charge radius, which is a neutrino property associated with a certain subset of the total radiative corrections, and have achieved limits that are only about an order of magnitude away from the Standard Model prediction. Our study demonstrates that JUNO-TAO and CLOUD could discover the neutrino charge radius in the near future, considering the established treatment of the charge radius. However, we show that it is necessary to go beyond this standard treatment. By including the complete set of one-loop level radiative corrections, we find a partial cancellation with the charge radius effect, reducing the experimental sensitivity to this quantity. Nevertheless, JUNO-TAO and CLOUD still have the potential to achieve a 5σ discovery but over longer timescales within a reasonable operational time frame. Published by the American Physical Society 2024

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Unfolding experimental distortions in beta spectrometry

Craveiro,

Leblond,

Mougeot

et al. 2024

Front. Phys.

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The distortions of measured beta spectra are addressed by means of unfolding algorithms. Two different approaches, the Maximum-Likelihood Expectation-Maximization and the Tikhonov regularization, are tested on various simulated spectra, for which the initial spectrum to retrieve is known, and on a 99Tc spectrum measured with our dedicated setup. Statistical uncertainties of distorted measured spectra are propagated by determining the covariance matrices. Both algorithms provide satisfactory results but Tikhonov performs overall better for most of the studied radionuclides. Highlight is made on the necessity to employ at least two independent methods to ensure the accuracy of the unfolded spectra and to estimate the internal bias of each algorithm.

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Comprehensive revision of the summation method for the prediction of reactor ν¯e fluxes and spectra

Cited by 3 publications

References 118 publications

Reactor neutrino background in next-generation dark matter detectors

Reactor neutrino background in next-generation dark matter detectors

Neutrino charge radius and additional one-loop radiative corrections at ultranear reactor experiments

Unfolding experimental distortions in beta spectrometry

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