Decomposition of fissile isotope antineutrino spectra using convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://link.springer.com/content/pdf/10.1007/s41365-023-01229-9.pdf
Reference24 articles.
1. Th.A. Mueller, D. Lhuillier, M. Fallot et al., Improved predictions of reactor antineutrino spectra. Phys. Rev. C 83, 054615 (2011). https://doi.org/10.1103/PhysRevC.83.054615
2. P. Huber, Determination of antineutrino spectra from nuclear reactors. Phys. Rev. C 84, 024617 (2011). https://doi.org/10.1103/PhysRevC.84.024617
3. G. Mention, M. Fechner, Th. Lasserre et al., Reactor antineutrino anomaly. Phys. Rev. D 83, 073006 (2011). https://doi.org/10.1103/PhysRevD.83.073006
4. Y. Abe, J.C. dos Anjos, J.C. Barriere et al., Improved measurements of the neutrino mixing angle $$\theta _{13}$$ with the Double Chooz detector. J. High Energy Phys. 2014, 86 (2014). https://doi.org/10.1007/JHEP10(2014)086
5. S.H. Seo et al., (RENO Collaboration), New results from RENO and the 5 MeV excess. AIP Conf. Proc. 1666, 080002 (2015). https://doi.org/10.1063/1.4915563
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