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arXiv 0709.2686nucl-th
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核动力学的随机平均场方法

A Stochastic Mean-Field Approach For Nuclear Dynamics

Sakir Ayik

摘要:

我们提出了一个微观随机方法,以改善描述的核动力学在低能量的平均场近似。结果表明,对于小振幅波动,所提出的模型给出了一个结果的分散体的一个身体观察,这是相同的结果,以前通过变分方法。进一步,将所提出的随机平均场演化投影到集体路径上,得到了一个广义的集体变量Langevin方程,该方程根据量子涨落-耗散关系,包含了单体耗散和单体涨落机制.

英文摘要:

We propose a microscopic stochastic approach to improve description of nuclear dynamics beyond the mean-field approximation at low energies. It is shown that, for small amplitude fluctuations, the proposed model gives a result for the dispersion of a one-body observable that is identical to the result obtained previously through a variational approach. Furthermore, by projecting the proposed stochastic mean-field evolution on a collective path, a generalized Langevin equation is derived for collective variable, which incorporate one-body dissipation and one-body fluctuation mechanism in accordance with quantal fluctuation-dissipation relation.

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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