Quantifying multinucleon effect in Argon using high-pressure TPC

TL;DR

This paper emphasizes the importance of including multinucleon effects in neutrino interaction models with Argon to reduce systematic errors in neutrino energy reconstruction for experiments like DUNE.

Contribution

It demonstrates the impact of multinucleon events on systematic uncertainties and advocates for their incorporation using specific nuclear models in neutrino experiments.

Findings

Event distribution ratios vary with nuclear models.

Inclusion of 2p2h events reduces systematic errors.

RPA effects improve model accuracy.

Abstract

Neutrino oscillation experiments use heavy nuclear targets to achieve sufficient interaction rates. Nuclear effects are introduced in the experimental environment by the use of these targets and need to be quantified as they add to the systematic errors. In the low energy region(around 1 GeV) multinucleon events are also present along with Quasi Elastic(QE) and Delta interactions. Therefore if these multinucleon events are not incorporated in the data set properly, we end up with an inaccurate reconstruction of neutrino energy. In our work, we have illustrated the importance of incorporation of multinucleon events for the reduction of systematic errors in physics predictions by DUNE-Near Detector(ND). To achieve this we have presented the event distribution ratio of Ar/C, Ar/Ar, and C/C as a function of squared four-momentum transfer by employing different nuclear models. This analysis recommends the addition of 2p2h or multinucleon events in the event sample and promotes model with Random Phase Approximations(RPA) effect for the analysis of the event sample to overcome or reduce the systematic uncertainties.