Correlation between the fragmentation modes and light charged particles emission in heavy ion collisions

Abstract

The correlations between the shape of rapidity distribution of the yield of light charged particles and the fragmentation modes in semi-peripheral collisions for 70 Zn+ 70 Zn, 64 Zn+ 64 Zn and 64 Ni+ 64 Ni at the beam energy of 35MeV/nucleon are investigated based on ImQMD05 code. Our studies show there is interplay between the binary, ternary and multi-fragmentation breakup modes. The binary and ternary break-up modes more prefer to emit light charged particles at middle rapidity and give larger values of R mid yield compared with the multi-fragmentation break-up mode does. The reduced rapidity distribution for the normalized yields of p, d, t, 3 He, 4 He and 6 He and the corresponding values of R mid yield can be used to estimate the probability of multi-fragmentation break-up modes. By comparing to experimental data, our results illustrate that ≥40% of the collisions events belong to the multi-fragmentation break-up mode for the reaction we studied.Fragmentation mechanism, i.e. does a nucleus break up into several intermediate mass fragments (IMFs) in intermediate energy heavy ion collisions (HICs) in a statistical (thermal) way or dynamical way, has been a longstanding problem in nuclear physics, and it has attracted a lot of theoretical

Systematics of capture and fusion dynamics in heavy-ion collisions

“…In most of the empirical CC approaches, the barrier distribution has only one maximum, while the experimental barrier distributions extracted from the capture excitation functions, i.e., d 2 (Eσ capture )/dE 2 [42,43], usually exhibit more complicated structure. Note that besides the SBPM and the full and empirical CC approaches, several microscopic dynamics models, such as the time-dependent Hartree-Fock (TDHF) theory [44,45] and the quantum molecular dynamics (QMD) model [46][47][48][49], have been also used to explore the fusion dynamics [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65]. In recent years, Sargsyan et al developed a quantum diffusion approach [66][67][68] for describing the capture process, which is based on the quantum master equation for the reduced density matrix.…”