用双极超固体探索脉冲星闪烁

IF 1.7 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Few-Body Systems Pub Date : 2024-08-16 DOI:10.1007/s00601-024-01949-7

Thomas Bland, Francesca Ferlaino, Massimo Mannarelli, Elena Poli, Silvia Trabucco

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引用次数: 0

摘要

突变是一种突然的自旋上升事件，它打断了旋转中子星的逐渐自旋下降过程。它们被认为是由中子星内壳涡旋的快速解旋引起的。通过类比中子星内壳和双极性超固体，我们可以研究间隙现象。利用这种类比，我们从数值上分析了涡旋捕获机制以及物质密度分布如何影响间隙。这些结果为在实验室中对天体进行量子模拟铺平了道路。

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Exploring Pulsar Glitches with Dipolar Supersolids

Glitches are sudden spin-up events that interrupt the gradual spin-down of rotating neutron stars. They are believed to arise from the rapid unpinning of vortices in the neutron star inner crust. The analogy between the inner crust of neutron stars and dipolar supersolids allows to investigate glitches. Employing such analogy, we numerically analyze the vortex trapping mechanism and how the matter density distribution influences glitches. These results pave the way for the quantum simulation of celestial bodies in laboratories.

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来源期刊

Few-Body Systems 物理-物理：综合

CiteScore

2.90

自引率

18.80%

发文量

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).