Abstract

Hadron cascade model is an essential part of Monte Carlo neutrino event generators that governs final state interactions of knocked-out nucleons and produced pions. It is shown that such model enriched with physically motivated modifications of nucleon-nucleon cross section and incorporation of nuclear correlation effects is able to reproduce experimental nuclear transparency data. Uncertainty of nucleon final state interactions effects is estimated and applied to recent neutrino-nucleus cross section measurements that include an outgoing proton in the experimental signal. Conclusions are drawn on a perspective of identification of events that originate from two-body current mechanism.

Highlights

  • The description of the transport of hadrons in nuclear matter is a challenge encountered in many areas of fundamental research such as astrophysics, phenomenology of heavy-ion collisions, and a broad spectrum of nuclear physics applications

  • This motivated researchers to develop two alternative solutions that go beyond this simplified picture and have been successfully used in, e.g., heavy-ion physics

  • We investigated how important is the impact of the final-state interactions (FSIs) uncertainty for the recent T2K proton measurements

Read more

Summary

Introduction

The description of the transport of hadrons in nuclear matter is a challenge encountered in many areas of fundamental research such as astrophysics, phenomenology of heavy-ion collisions, and a broad spectrum of nuclear physics applications. The first notable attempt of modeling this process was a Monte Carlo (MC) approach based on the ideas of Serber [1] and implemented by Metropolis et al [2] This concept of cascading hadrons was later followed by many others and the model developed significantly [3–6]. The second one, known under the name of quantum molecular dynamics (QMD) [9], is formulated in terms of nucleon coordinates and momenta under the action of a many-body Hamiltonian. Both approaches are supplemented with a two-body collision term. A detail comparison of 15 independent implementations of BUU and QMD models shows surprisingly large differences in their predictions [10]

Objectives
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call