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The role of de-excitation in the final-state interactions of protons in neutrino-nucleus interactions

Authors :
Ershova, Anna
Niewczas, Kajetan
Bolognesi, Sara
Letourneau, Alain
David, Jean-Christophe
Rodríguez-Sánchez, José Luís
Sobczyk, Jan
Blanchet, Adrien
Avanzini, Margherita Buizza
Chakrani, Jaafar
Cugnon, Joseph
Dolan, Stephen
Giganti, Claudio
Hassani, Samira
Hirtz, Jason
Joshi, Shivam
Juszczak, Cezary
Munteanu, Laura
Sgalaberna, Davide
Yevarouskaya, Uladzislava
Publication Year :
2023

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 models: NuWro and INCL coupled with the de-excitation code ABLA. The ablation model ABLA is used here for the first time to model de-excitation in neutrino interactions. As input to ABLA, we develop a consistent simulation of nuclear excitation energy tuned to electron-scattering data. The paper includes the characterization of the leading proton kinematics and of the nuclear cluster production during cascade and de-excitation. The observability of nuclear clusters as vertex activity and their role in a precise neutrino energy reconstruction is quantified.<br />Comment: 14 pages, 13 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2309.05410
Document Type :
Working Paper