Comparison of Statistical Multifragmentation Model simulations with Canonical Thermodynamical Model results: a few representative cases

TL;DR

This paper compares the predictions of the statistical multifragmentation model (SMM) and the canonical thermodynamic model (CTM) for heavy ion collision data, highlighting differences due to their distinct statistical ensembles and calculation methods.

Contribution

It provides a comparative analysis of SMM and CTM models for specific cases, elucidating their similarities and differences in predicting nuclear fragmentation outcomes.

Findings

SMM uses Monte-Carlo simulations, while CTM employs recursion relations.

Both models produce similar results for certain cases, but differ in others.

The comparison clarifies the impact of different statistical ensembles on model predictions.

Abstract

The statistical multifragmentation model (SMM) has been widely used to explain experimental data of intermediate energy heavy ion collisions. A later entrant in the field is the canonical thermodynamic model (CTM) which is also being used to fit experimental data. The basic physics of both the models is the same, namely that fragments are produced according to their statistical weights in the available phase space. However, they are based on different statistical ensembles, and the methods of calculation are different: while the SMM uses Monte-Carlo simulations, the CTM solves recursion relations. In this paper we compare the predictions of the two models for a few representative cases.