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arXiv 0805.4178nucl-th
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用遗传算法研究核子共振性质

Properties of Nucleon Resonances by means of a Genetic Algorithm

C. Fernandez-Ramirez, E. Moya de Guerra, A. Udias, J. M. Udias

摘要:

我们提出了一个优化方案,采用遗传算法(GA),以确定一个现实的photo-pion生产模型的基础上,有效的拉格朗日的低位核子激发的属性。我们表明,与这种现代优化技术,它是可能的,以可靠地评估参数的共振和相关的误差条,以及识别模型中的弱点。为了说明优化过程可能遇到的问题,我们提供了核子共振$Δ$(1230)和$Δ$(1700)的结果。前者可以很容易地分离出来,因此已经深入研究,而后者则不是众所周知的实验。

英文摘要:

We present an optimization scheme that employs a Genetic Algorithm (GA) to determine the properties of low-lying nucleon excitations within a realistic photo-pion production model based upon an effective Lagrangian. We show that with this modern optimization technique it is possible to reliably assess the parameters of the resonances and the associated error bars as well as to identify weaknesses in the models. To illustrate the problems the optimization process may encounter, we provide results obtained for the nucleon resonances $Δ$(1230) and $Δ$(1700). The former can be easily isolated and thus has been studied in depth, while the latter is not as well known experimentally.

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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