A DNN-based region of interest detection method for SBN neutrino detectors outperforms traditional wire-by-wire thresholding in identification accuracy and reconstruction quality while being more robust to performance variations.
Pia,Status and Perspective of ICARUS at the Fermilab Short-Baseline Neutrino Program,Springer Proc
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
representative citing papers
Supervised ML classification of neutrino events by interaction channel prior to energy reconstruction improves accuracy and sensitivity by 10-20% in simulated DUNE analyses while remaining robust to generator mismodeling.
Realistic variations in final-state interaction modeling can distort reconstructed neutrino energy spectra in DUNE-like experiments by amounts comparable to or exceeding those from changes in Δm²₃₂ or δ_CP, creating a potential degeneracy.
MicroBooNE sets the strongest limits to date on the Higgs-portal scalar mixing angle θ below ~3×10^{-4} for masses 110-155 MeV using kaon decays in the NuMI beam and 2.01×10^{21} POT exposure.
The study evaluates and contrasts sophisticated and empirical model components in GENIE for pionless neutrino-argon interactions using recent MicroBooNE measurements.
An isothermal BSIM4 model for SKY130 transistors at 77 K was extracted from measurements and validated with ~20% relative RMS error independent of drain voltage.
A new 13-liter liquid argon test stand achieved 0.25 ppb impurity concentration and 1.5 ms electron lifetime.
citing papers explorer
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Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks
A DNN-based region of interest detection method for SBN neutrino detectors outperforms traditional wire-by-wire thresholding in identification accuracy and reconstruction quality while being more robust to performance variations.
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Improving Neutrino Oscillation Measurements through Event Classification
Supervised ML classification of neutrino events by interaction channel prior to energy reconstruction improves accuracy and sensitivity by 10-20% in simulated DUNE analyses while remaining robust to generator mismodeling.
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The role of final-state interaction modeling in neutrino energy reconstruction and oscillation measurements
Realistic variations in final-state interaction modeling can distort reconstructed neutrino energy spectra in DUNE-like experiments by amounts comparable to or exceeding those from changes in Δm²₃₂ or δ_CP, creating a potential degeneracy.
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Search for the production of Higgs-portal scalar bosons in the NuMI beam using the MicroBooNE detector
MicroBooNE sets the strongest limits to date on the Higgs-portal scalar mixing angle θ below ~3×10^{-4} for masses 110-155 MeV using kaon decays in the NuMI beam and 2.01×10^{21} POT exposure.
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Benchmarking State-of-the-Art Theory and Empirical Models of Pionless Neutrino-Argon Scattering in GENIE
The study evaluates and contrasts sophisticated and empirical model components in GENIE for pionless neutrino-argon interactions using recent MicroBooNE measurements.
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DC Cryogenic Modeling of Open-Source SkyWater 130 nm MOSFETs at 77 K Using BSIM4
An isothermal BSIM4 model for SKY130 transistors at 77 K was extracted from measurements and validated with ~20% relative RMS error independent of drain voltage.
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Liquid argon purification and purity monitoring: apparatus and first results
A new 13-liter liquid argon test stand achieved 0.25 ppb impurity concentration and 1.5 ms electron lifetime.