Solar neutrinos enable self-calibration of the ν_e + 40Ar cross section to ≲2% in 9-15 MeV via known 8B flux, survival probability, and distinctive Fermi/Gamow-Teller angular distributions.
Demonstration of MeV-Scale Physics in Liquid Argon Time Projection Chambers Using ArgoNeuT
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abstract
MeV-scale energy depositions by low-energy photons produced in neutrino-argon interactions have been identified and reconstructed in ArgoNeuT liquid argon time projection chamber (LArTPC) data. ArgoNeuT data collected on the NuMI beam at Fermilab were analyzed to select isolated low-energy depositions in the TPC volume. The total number, reconstructed energies and positions of these depositions have been compared to those from simulations of neutrino-argon interactions using the FLUKA Monte Carlo generator. Measured features are consistent with energy depositions from photons produced by de-excitation of the neutrino's target nucleus and by inelastic scattering of primary neutrons produced by neutrino-argon interactions. This study represents a successful reconstruction of physics at the MeV-scale in a LArTPC, a capability of crucial importance for detection and reconstruction of supernova and solar neutrino interactions in future large LArTPCs.
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Simulation shows LArTPC blips from neutron inelastic scattering can identify neutrons and reconstruct final-state neutron direction and energy in sub-GeV neutrino interactions.
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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Self-Calibration of the Neutrino-Argon Cross Section with Solar Neutrinos
Solar neutrinos enable self-calibration of the ν_e + 40Ar cross section to ≲2% in 9-15 MeV via known 8B flux, survival probability, and distinctive Fermi/Gamow-Teller angular distributions.
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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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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.