arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.06489cond-mat.supr-con
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铜氧化物超导体自能的峰结构

Peak-structure in self-energy of cuprate superconductors

Yiqun Liu, Yu Lan, Shiping Feng

摘要:

最近通过机器学习技术从铜氧化物超导体的光电子能谱中推导出的正常和反常自能需要一个解释。本文在动能驱动的超导框架内分析了铜氧化物超导体的正常和反常自能。结果表明,交换自旋激发在正常和反常自能中都产生了明显的低能峰结构,但它们在总自能中并不相互抵消。其中,正常自能的峰结构是单粒子激发谱峰-谷-峰结构的主要原因,并能持续到正常态;而反常自能的尖峰对超导能隙有重要贡献,但在正常态时消失.此外,还分析了峰结构随掺杂和动量的变化。

英文摘要:

The recently deduced normal and anomalous self-energies from photoemission spectra of cuprate superconductors via the machine learning technique are calling for an explanation. Here the normal and anomalous self-energies in cuprate superconductors are analyzed within the framework of the kinetic-energy-driven superconductivity. It is shown that the exchanged spin excitations give rise to the well-pronounced low-energy peak-structures in both the normal and anomalous self-energies, however, they do not cancel in the total self-energy. In particular, the peak-structure in the normal self-energy is mainly responsible for the peak-dip-hump structure in the single-particle excitation spectrum, and can persist into the normal-state, while the sharp peak in the anomalous self-energy gives rise to a crucial contribution to the superconducting gap, and vanishes in the normal-state. Moreover, the evolution of the peak-structure with doping and momentum are also analyzed.

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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