利用人工振荡器阱计算低能散射参数

IF 1.8 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
D. V. Fedorov, A. M. Pedersen
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引用次数: 0

摘要

我们介绍了一种仅使用离散态计算来估计量子少体系统的低能散射参数——散射长度、有效范围和形状参数的方法。我们将系统置于不同大小的人工振荡器陷阱中,并计算出接近系统阈值的离散状态的能量作为陷阱大小的函数。然后,利用一个简单的解析公式,从这些能量与阱尺寸的函数依赖关系中提取出低能散射参数。我们首先针对一个简单的模型问题测试了该配方,然后将其应用于具有一个西格玛介子近似的显式介子的核模型中的低能核子核子散射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calculation of low-energy scattering parameters using artificial oscillator trap

We introduce a recipe to estimate the low-energy scattering parameters of a quantum few-body system — scattering length, effective range, and shape parameter — by using only discrete state calculations. We place the system in an artificial oscillator trap of varying size and calculate the energies of the resulting discrete states close to the threshold of the system as function of the trap size. The low-energy scattering parameters are then extracted — using a simple analytic formula — from the functional dependence of these energies upon the trap size. We first test the recipe against a simple model problem and then apply it to low-energy nucleon-nucleon scattering within the nuclear Model with Explicit Mesons in one sigma-meson approximation.

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来源期刊
Few-Body Systems
Few-Body Systems 物理-物理:综合
CiteScore
2.90
自引率
18.80%
发文量
64
审稿时长
6-12 weeks
期刊介绍: The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures. Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal. The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).
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