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physics.data-an2023★ 1 cited
Blinding for precision scattering experiments: The MUSE approach as a case study
J. C. Bernauer, E. W. Cline, H. Atac +27
Human bias is capable of changing the analysis of measured data sufficiently to alter the results of an experiment. It is incumbent upon modern experiments, especially those invest…
physics.data-an2018★ 23 cited
Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment
G. N. Perdue, A. Ghosh, M. Wospakrik +53
We present a simulation-based study using deep convolutional neural networks (DCNNs) to identify neutrino interaction vertices in the MINERvA passive targets region, and illustrate…