A genetic algorithm analysis of N* resonances in p(γ, K+)Λ reactions

被引：48

作者：

Ireland, DG ^{[1
]}

Janssen, S

Ryckebusch, J

机构：

[1] Univ Glasgow, Dept Phys & Astron, Glasgow G12 8QQ, Lanark, Scotland

[2] Univ Ghent, Dept Subatom & Radiat Phys, B-9000 Ghent, Belgium

来源：

NUCLEAR PHYSICS A | 2004年 / 740卷 / 1-2期

基金：

英国工程与自然科学研究理事会;

关键词：

nucleon resonances; genetic algorithms; kaon production;

D O I：

10.1016/j.nuclphysa.2004.05.007

中图分类号：

O57 [原子核物理学、高能物理学];

学科分类号：

070202 ;

摘要：

The problem of extracting information on new and known N* resonances by fitting isobar models to photonuclear data is addressed. A new fitting strategy, incorporating a genetic algorithm, is outlined. As an example, the method is applied to a typical tree-level analysis of published p(gamma, K+)Lambda data. It is shown that, within the limitations of this tree-level analysis, a resonance in addition to the known set is required to obtain a reasonable fit. An additional P-11 resonance, with a mass of about 1.9 GeV, gives the best agreement with the published data, but additional S-11 or D-13 resonances cannot be ruled out. Our genetic algorithm method predicts that photon beam asymmetry and double polarization p(gamma, K+)Lambda measurements should provide the most sensitive information with respect to missing resonances. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：147 / 167

页数：21

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