Implementation of the CRPA model in the GENIE event generator and analysis of nuclear effects in low-energy transfer neutrino-nucleus interactions

TL;DR

This paper implements and validates the HF-CRPA model in GENIE, showing it predicts different nuclear effects in neutrino interactions, especially at low energies, which is crucial for neutrino oscillation experiments.

Contribution

The paper introduces the HF-CRPA model into GENIE and compares its predictions to other models and experimental data, highlighting differences in nuclear effect predictions.

Findings

HF-CRPA predicts different cross section evolution across targets.

Significant differences for low energy and momentum transfer interactions.

Nucleon correlations in HF-CRPA differ from standard RPA in GENIE.

Abstract

We present the implementation and validation of the Hartree-Fock continuum random phase approximation (HF-CRPA) model in the GENIE neutrino-nucleus interaction event generator and a comparison of the subsequent predictions to experimental measurements of lepton kinematics from interactions with no mesons in the final state. These predictions are also compared to those of other models available in GENIE. It is shown that, with respect to these models, HF-CRPA predicts a significantly different evolution of the cross section when moving between different interaction targets, when considering incoming anti-neutrinos compared to neutrinos and when changing neutrino energies. These differences are most apparent for interactions with low energy and momentum transfer. It is also clear that the impact of nucleon correlations within the HF-CRPA framework is very different than in GENIE's standard implementation of RPA corrections. Since many neutrino oscillation experiments rely on their input model to extrapolate between targets, flavours, and neutrino energies, the newly implemented HF-CRPA model provides a useful means to verify that such differences between models are appropriately covered in oscillation analysis systematic error budgets.