Developments in NuWro Monte Carlo generator

TL;DR

This paper discusses recent physics improvements in the NuWro Monte Carlo generator, including new models and techniques for neutrino interaction simulations, aiming to enhance accuracy and reliability.

Contribution

It introduces new physics models and machine learning techniques integrated into NuWro, improving simulation fidelity for neutrino interactions.

Findings

Integration of argon spectral function for quasi-elastic scattering

Implementation of Valencia 2020 meson exchange current model

Application of machine learning for model-independent reconstruction

Abstract

In this article, we highlight physics improvements in the NuWro Monte Carlo event generator. The upcoming version of NuWro will incorporate the integration of the argon spectral function for quasi-elastic scattering, along with the MINER$\nu$A parametrization of the axial form factor. Additionally, the new release will feature the implementation of the Valencia 2020 model for meson exchange current. The previously used simplistic delta resonance model for single-pion production will be replaced by a more accurate Ghent hybrid model in the upcoming version of NuWro. We also discuss the recent advancements made by the Wroclaw Neutrino Group in applying machine-learning techniques to achieve model-independent reconstruction of lepton-nucleus interactions