Using experimental data to test an n-body dynamical model coupled with an energy-based clusterization algorithm at low incident energies

Rohit Kumar and Rajeev K. Puri
Phys. Rev. C 97, 034624 – Published 30 March 2018

Abstract

Employing the quantum molecular dynamics (QMD) approach for nucleus-nucleus collisions, we test the predictive power of the energy-based clusterization algorithm, i.e., the simulating annealing clusterization algorithm (SACA), to describe the experimental data of charge distribution and various event-by-event correlations among fragments. The calculations are constrained into the Fermi-energy domain and/or mildly excited nuclear matter. Our detailed study spans over different system masses, and system-mass asymmetries of colliding partners show the importance of the energy-based clusterization algorithm for understanding multifragmentation. The present calculations are also compared with the other available calculations, which use one-body models, statistical models, and/or hybrid models.

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  • Received 27 February 2018

DOI:https://doi.org/10.1103/PhysRevC.97.034624

©2018 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Rohit Kumar and Rajeev K. Puri*

  • Department of Physics, Panjab University, Chandigarh - 160014, India

  • *drrkpuri@gmail.com

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Issue

Vol. 97, Iss. 3 — March 2018

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