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The relevance of neutrino-nucleus interaction models in T2K and SuperKamiokande

Authors: Megias Vazquez, Guillermo Daniel; Dolan, Stephen; Hayato, Yoshinari;

The relevance of neutrino-nucleus interaction models in T2K and SuperKamiokande

Abstract

The precise knowledge of neutrino oscillation properties requires an accurate description of neutrino-nucleus interactions, constituting one of the largest source of current systematics. Accordingly, the development and implementation of sophisticated neutrino interaction models in the MonteCarlo event generators employed in neutrino oscillation experiments plays an essential role. In this context, the so-called SuSAv2-MEC model, based on the Relativistic Mean Field theory, has recently proven its validity to analyze neutrino-nucleus scattering data in the kinematical region of interest for current and forthcoming neutrino oscillation experiments, being a promising candidate to be implemented in event generators in order to improve the oscillation analysis. This work presents the first steps towards the implementation of sophisticated microscopic nuclear models (SuSAv2, RMF) in the NEUT event generator and the analysis of the low energy and nuclear-medium effects for several nuclei (C, O, Ar) in comparison with recent experimental analyses. https://www.youtube.com/watch?v=Yi6zdPCAQeY&feature=youtu.be

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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