Sensitivity study of experimental measures for the nuclear liquid-gas phase transition in the statistical multifragmentation model

W. Lin (林炜平), P. Ren (任培培), H. Zheng (郑华), X. Liu (刘星泉), M. Huang (黄美容), R. Wada, and G. Qu (曲国峰)
Phys. Rev. C 97, 054615 – Published 23 May 2018

Abstract

The experimental measures of the multiplicity derivatives—the moment parameters, the bimodal parameter, the fluctuation of maximum fragment charge number (normalized variance of Zmax, or NVZ), the Fisher exponent (τ), and the Zipf law parameter (ξ)—are examined to search for the liquid-gas phase transition in nuclear multifragmention processes within the framework of the statistical multifragmentation model (SMM). The sensitivities of these measures are studied. All these measures predict a critical signature at or near to the critical point both for the primary and secondary fragments. Among these measures, the total multiplicity derivative and the NVZ provide accurate measures for the critical point from the final cold fragments as well as the primary fragments. The present study will provide a guide for future experiments and analyses in the study of the nuclear liquid-gas phase transition.

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  • Received 7 April 2018

DOI:https://doi.org/10.1103/PhysRevC.97.054615

©2018 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Nuclear Physics

Authors & Affiliations

W. Lin (林炜平)1,2, P. Ren (任培培)1,2, H. Zheng (郑华)3,*, X. Liu (刘星泉)2,†, M. Huang (黄美容)4, R. Wada5, 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

  • *zheng@lns.infn.it
  • liuxingquan@impcas.ac.cn

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Issue

Vol. 97, Iss. 5 — May 2018

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