The role of de-excitation in the final-state interactions of protons in neutrino-nucleus interactions
Anna Ershova, Kajetan Niewczas, Sara Bolognesi, Alain Letourneau,, Jean-Christophe David, Jos\'e Lu\'is Rodr\'iguez-S\'anchez, Jan Sobczyk,, Adrien Blanchet, Margherita Buizza Avanzini, Jaafar Chakrani, Joseph Cugnon,, Stephen Dolan, Claudio Giganti, Samira Hassani, Jason Hirtz

TL;DR
This paper investigates how nuclear de-excitation affects the final-state interactions of protons in neutrino-nucleus interactions, using Monte Carlo models to improve the accuracy of neutrino energy reconstruction in experiments.
Contribution
It introduces the use of the ABLA de-excitation code in neutrino interaction modeling and develops a nuclear excitation energy simulation tuned to electron-scattering data.
Findings
Nuclear de-excitation significantly influences proton kinematics.
Nuclear clusters can be observed as vertex activity.
De-excitation impacts neutrino energy reconstruction accuracy.
Abstract
Present and next generation of long-baseline accelerator experiments are bringing the measurement of neutrino oscillations into the precision era with ever-increasing statistics. One of the most challenging aspects of achieving such measurements is developing relevant systematic uncertainties in the modeling of nuclear effects in neutrino-nucleus interactions. To address this problem, state-of-the-art detectors are being developed to extract detailed information about all particles produced in neutrino interactions. To fully profit from these experimental advancements, it is essential to have reliable models of propagation of the outgoing hadrons through nuclear matter able to predict how the energy is distributed between all the final-state observed particles. In this article, we investigate the role of nuclear de-excitation in neutrino-nucleus scattering using two Monte Carlo cascade…
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.
