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Recent highlights from GENIE v3
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The release of GENIE v3.0.0 was a major milestone in the long history of the GENIE project, delivering several alternative comprehensive neutrino interaction models, improved charged-lepton scattering simulations, a range of beyond the Standard Model simulation capabilities, improved experimental interfaces, expanded core framework capabilities, and advanced new frameworks for the global analysis of neutrino scattering data and tuning of neutrino interaction models. Steady progress continued following the release of GENIE v3.0.0. New tools and a large number of new physics models, comprehensive model configurations, and tunes have been made publicly available and planned for release in v3.2.0. This article highlights some of the most recent technical and physics developments in the GENIE v3 series.
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Cited by 11 Pith papers
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A Differential Neutral-to-Charged Current Double-Proton Observable for Studying Short-Range Correlations in Neutrino--Argon Scattering
A differential NC/CC two-proton ratio in neutrino-argon scattering is proposed as the first observable sensitive to the short-range-correlation component of two-nucleon emission.
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Signal selection and model-independent extraction of pionless charged-current muon neutrino cross section using double-differential kinematic imbalance observables on carbon and oxygen with the T2K experiment
First joint C/O double-differential νμ CC0πNp cross sections in δpT–δαT and pN–cosθμ show current generators fail to describe the data.
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Interaction-model dependence in calorimetric energy reconstruction methods due to non-linear material effects in modern neutrino detectors
Calorimetric neutrino energy reconstruction carries an interaction-model-dependent bias of ~7-18 MeV from Birks quenching and charge recombination, reducible to ~3.5 MeV with idealised hybrid tracking.
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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...
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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.
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Charged current neutrino and antineutrino induced associated particle production from nucleons
A resonance-plus-background model predicts total, Q2, and kaon-momentum cross sections for charged-current neutrino and antineutrino production of Lambda-K pairs from nucleons.
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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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Benchmarking State-of-the-Art Theory and Empirical Models of Pionless Neutrino-Argon Scattering in GENIE
GENIE model components for pionless neutrino-argon scattering are swapped and tested against MicroBooNE data to compare sophisticated theory-based options with empirical alternatives.
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Continuum contribution to charged-current absorption of low-energy $\nu_e$ on $^{40}$Ar
Hybrid HF-CRPA calculations predict lower allowed cross sections for charged-current ν_e on 40Ar at low energies, leading to ~20% fewer events in DUNE for a galactic supernova burst than the prior MARLEY model.
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Searching non-standard interactions with atmospheric neutrinos at ESSnuSB
With 5.4 Mt·year atmospheric neutrino exposure, ESSnuSB could constrain |ε_eμ^m| < 0.053, |ε_eτ^m| < 0.057, |ε_μτ^m| < 0.021 and related diagonal differences at 90% CL, while NSI would alter mass ordering and θ23 octa...
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Monte Carlo study of KDAR $\nu_{\mu}$ charged-current scattering on carbon
For 235.5 MeV KDAR muon-neutrino charged-current scattering on carbon, NuWro reproduces JSNS² missing-energy data better than GENIE or GiBUU, but all generators miss part of the data.
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