Statistical analysis of experimental multifragmentation events in Zn64+Sn112 at 40 MeV/nucleon

W. Lin (林炜平), H. Zheng (郑华), P. Ren (任培培), X. Liu (刘星泉), M. Huang (黄美容), R. Wada, Z. Chen (陈志强), J. Wang (王建松), G. Q. Xiao (肖国青), and G. Qu (曲国峰)
Phys. Rev. C 97, 044603 – Published 11 April 2018

Abstract

A statistical multifragmentation model (SMM) is applied to the experimentally observed multifragmentation events in an intermediate heavy-ion reaction. Using the temperature and symmetry energy extracted from the isobaric yield ratio (IYR) method based on the modified Fisher model (MFM), SMM is applied to the reaction Zn64+Sn112 at 40 MeV/nucleon. The experimental isotope distribution and mass distribution of the primary reconstructed fragments are compared without afterburner and they are well reproduced. The extracted temperature T and symmetry energy coefficient asym from SMM simulated events, using the IYR method, are also consistent with those from the experiment. These results strongly suggest that in the multifragmentation process there is a freezeout volume, in which the thermal and chemical equilibrium is established before or at the time of the intermediate-mass fragments emission.

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  • Received 2 July 2016
  • Revised 25 March 2018

DOI:https://doi.org/10.1103/PhysRevC.97.044603

©2018 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

W. Lin (林炜平)1,2, H. Zheng (郑华)3, P. Ren (任培培)1,2, X. Liu (刘星泉)2,*, M. Huang (黄美容)4, R. Wada5,†, Z. Chen (陈志强)2, J. Wang (王建松)2, G. Q. Xiao (肖国青)2, and G. Qu (曲国峰)1,2

  • 1Key Laboratory of Radiation Physics and Technology of the Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610064, China
  • 2Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
  • 3Laboratori Nazionali del Sud, INFN, I-95123 Catania, Italy
  • 4College of Physics and Electronics information, Inner Mongolia University for Nationalities, Tongliao, 028000, China
  • 5Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA

  • *liuxingquan@impcas.ac.cn
  • wada@comp.tamu.edu

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Issue

Vol. 97, Iss. 4 — April 2018

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