Simulation shows LArTPC blips from neutron inelastic scattering can identify neutrons and reconstruct final-state neutron direction and energy in sub-GeV neutrino interactions.
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In simulated sub-GeV neutrino-argon events, combined charge+light calorimetry gives the best energy, an SVM on charge/light features separates νe from anti-νe at ~70%, and nearest-deposit neutron tagging improves antineutrino direction by ~20°.
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.
citing papers explorer
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Neutron Reconstruction via Blips in Liquid Argon Time Projection Chambers
Simulation shows LArTPC blips from neutron inelastic scattering can identify neutrons and reconstruct final-state neutron direction and energy in sub-GeV neutrino interactions.
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Enhanced Reconstruction of Sub-GeV Neutrinos Charged Current Interactions in LArTPC
In simulated sub-GeV neutrino-argon events, combined charge+light calorimetry gives the best energy, an SVM on charge/light features separates νe from anti-νe at ~70%, and nearest-deposit neutron tagging improves antineutrino direction by ~20°.
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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.