Benchmarking neutrino-nucleus quasielastic scattering model predictions against a missing energy profile obtained using a monoenergetic neutrino beam
Jake McKean, Laura Munteanu, Seisho Abe

TL;DR
This study benchmarks three nuclear ground state models in the NEUT neutrino generator against recent measurements of missing energy from monoenergetic neutrino interactions, providing insights into nuclear modeling accuracy.
Contribution
It compares the performance of spectral function and relativistic mean field models against experimental data, highlighting the importance of cascade and deexcitation processes.
Findings
Spectral function models outperform relativistic mean field models in missing energy distribution.
Including missing energy thresholds makes all models statistically acceptable.
Cascade and nuclear deexcitation simulations improve model agreement with data.
Abstract
We examine three exclusive nuclear ground state shell models implemented in the NEUT neutrino event generator and benchmark them against the recent JSNS measurement of missing energy using a monoenergetic neutrino source. The nature of the measurement allows a detailed investigation of nuclear ground-state modeling using a neutrino source, and gives access to a direct measurement of the neutron spectral function in a C nucleus. The NEUT intranuclear cascade and nuclear deexcitation \textsc{NucDeEx} are used to simulate inelastic final-state interactions and nuclear deexcitations respectively. We find that the spectral function (SF) models perform better than relativistic mean field models in modeling both the ground state and the tail of the missing energy distribution when the NEUT cascade and nuclear excitation channels are turned on. We also find that taking into account…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
