A comparative study of model ingredients: fragmentation in heavy-ion collisions using quantum molecular dynamics model

TL;DR

This paper investigates how various model parameters influence fragment formation in heavy-ion collisions using quantum molecular dynamics, highlighting the significant impact of model ingredients on outcomes.

Contribution

It systematically examines the effects of NN cross-sections, equation of state, and clustering algorithms on multifragmentation in quantum molecular dynamics models.

Findings

All model ingredients significantly affect fragment patterns.

Different clustering algorithms lead to varied fragmentation results.

Model parameters like Gaussian width influence the fragmentation process.

Abstract

We aim to understand the role of NN cross-sections, equation of state as well as different model ingredients such as width of Gaussian, clusterisation range and different clusterisation algorithms in multifragmentation using quantum molecular dynamics model. We notice that all model ingredients have sizable effect on the fragment pattern.