Search for an anomalous excess of charged-current quasi-elastic $\nu_e$ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

The MicroBooNE collaboration
FERMILAB-PUB-21-507-ND, 2021.

Abstract (data abstract)
Data release for the first results from MicroBooNE's deep learning-based search for an excess of charged-current quasi-elastic electron neutrinos, corresponding to informaiton from arXiv:2110.14080

  • NuE data and background (+ LEE) constrained prediction

    10.17182/hepdata.114859.v1/t1

    Observed NuE data and background (+ LEE) prediction, including the muon neutrino background prediction from the empirical fit, for arXiv:2110.14080....

  • NuE data and background (+ LEE) unconstrained prediction

    10.17182/hepdata.114859.v1/t2

    Observed NuE data and background (+ LEE) prediction, including the muon neutrino background prediction from the empirical fit, for arXiv:2110.14080....

  • NuE background constrained fractional covariance matrix

    10.17182/hepdata.114859.v1/t3

    NuE background fractional covariance matrix after the 1mu1p constraint from arXiv:2110.14080

  • NuE background+LEE constrained fractional covariance matrix

    10.17182/hepdata.114859.v1/t4

    NuE background+LEE fractional covariance matrix after the 1mu1p constraint from arXiv:2110.14080

  • NuE background unconstrained fractional covariance matrix

    10.17182/hepdata.114859.v1/t5

    NuE background fractional covariance matrix before the 1mu1p constraint from arXiv:2110.14080

  • NuE background+LEE unconstrained fractional covariance matrix

    10.17182/hepdata.114859.v1/t6

    NuE background+LEE fractional covariance matrix before the 1mu1p constraint from arXiv:2110.14080

  • NuE simulation

    10.17182/hepdata.114859.v1/t7

    NuE simulation from arXiv:2110.14080

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