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arXiv 0706.3290nucl-th
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正则和微正则统计系综中的多重数分布

Multiplicity Distributions in Canonical and Microcanonical Statistical Ensembles

M. Hauer, V. V. Begun, M. I. Gorenstein

摘要:

本文的目的是介绍一种新的技术,用于计算观测量,特别是多重数分布,在各种统计系综在有限体积。该方法是基于巨正则配分函数的傅立叶分析。生成函数的泰勒展开被用来分离对配分函数的贡献,以它们的体积幂。我们采用拉普拉斯的渐近展开表明,任何平衡分布的多重性,电荷,能量等往往是一个多元正态分布的热力学极限。Gram-Charlier展开还允许计算有限体积校正。分析公式,包括共振衰减和有限接受的影响直接进入系统配分函数。本文巩固和扩展了以前发表的结果,目前的调查统计系综的属性。

英文摘要:

The aim of this paper is to introduce a new technique for calculation of observables, in particular multiplicity distributions, in various statistical ensembles at finite volume. The method is based on Fourier analysis of the grand canonical partition function. Taylor expansion of the generating function is used to separate contributions to the partition function in their power in volume. We employ Laplace's asymptotic expansion to show that any equilibrium distribution of multiplicity, charge, energy, etc. tends to a multivariate normal distribution in the thermodynamic limit. Gram-Charlier expansion allows additionally for calculation of finite volume corrections. Analytical formulas are presented for inclusion of resonance decay and finite acceptance effects directly into the system partition function. This paper consolidates and extends previously published results of current investigation into properties of statistical ensembles.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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