Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment

Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment

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 the application of domain adversarial neural networks (DANNs) in this context. DANNs are designed to be trained in one...

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Bibliographic Details
Main Authors: Perdue, GN, Ghosh, A, Wospakrik, M, Akbar, F, Andrade, DA, Ascencio, M, Bellantoni, L, Bercellie, A, Betancourt, M, Vera, GFRC, Cai, T, Carneiro, MF, Chaves, J, Coplowe, D, Motta, HD, Díaz, GA, Felix, J, Fields, L, Fine, R, Gago, AM, Galindo, R, Golan, T, Gran, R, Han, JY, Harris, DA
Format: Journal article
Published: IOP Publishing 2018

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