Benchmarks and applications of the nuclear deexcitation event generator NucDeEx
Seisho Abe
TL;DR
The paper tackles the challenge of accurately predicting nuclear deexcitation following neutrino–nucleus interactions to improve neutron multiplicity estimates in detectors. It introduces NucDeEx, a general-purpose, open-source deexcitation event generator with a revised treatment of low-lying discrete states and a Hauser-Feshbach approach for continuum decays, plus a dedicated mode for a high-resolution carbon spectral function. Through extensive benchmarks against other generators and experimental data, the work demonstrates that NucDeEx achieves comparable or superior agreement in gamma-ray branching and neutron-related observables, and it documents practical integrations with Geant4 and NEUT to enhance detector simulations and DSNB background estimations. The findings underscore the importance of inverse kinematics measurements and energy-dependent tuning of level densities to reduce generator dependence and systematic uncertainties in next-generation neutrino experiments.
Abstract
Neutron multiplicity is a key observable in recent neutrino experiments that can enhance the sensitivity of various neutrino physics searches. Nuclear deexcitation plays a significant role in neutron emissions associated with neutrino-nucleus interactions. Therefore, precise prediction of this process is essential. To address this need, a general-purpose nuclear deexcitation event generator \textsc{NucDeEx} was developed and released as an open-source package. The treatment of low-lying discrete excited states was updated to better reproduce experimental data. Benchmarks were conducted using existing nuclear deexcitation event generators and experimental data. Application to other simulators, neutrino event generator \textsc{NEUT} and general particle simulation tool \textsc{Geant4}, are also presented.
