DNN ROI detection outperforms traditional wire-by-wire thresholding in identifying ionization signals in SBND and ICARUS detectors and shows greater robustness to performance variations.
Abratenkoet al.(ICARUS), Journal of Instrumenta- tion20(01), P01032, arXiv:2407.11925 [hep-ex]
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ICARUS measures flux-averaged differential CCQE-like cross sections in lepton angle, opening angle, and transverse imbalance variables, finding general agreement with event generators but insufficient power to discriminate models.
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Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks
DNN ROI detection outperforms traditional wire-by-wire thresholding in identifying ionization signals in SBND and ICARUS detectors and shows greater robustness to performance variations.