Effect of the nonmonotonic d-wave superconducting gap on the electronic Raman scattering of electron-doped cuprate superconductors. Issue 14 (17th July 2020)

• Record Type: Journal Article
• Authors: Zhang, Yuchen; Xu, Sheng; Yuan, Feng; Zhao, Huaisong; Zhou, Yong
• Is Part Of: Philosophical magazine. Volume 100:Issue 14(2020)
• Page Start: 1889
• Page End: 1902
• Publication Date: 2020-07-17
• Subjects: Electron-doped cuprate superconductors -- topology of Fermi surface -- electronic Raman scattering -- nonmonotonic d-wave superconducting gap; Condensed matter -- Periodicals; Physics -- Periodicals; Matière condensée -- Périodiques; Physique -- Périodiques; 530.41
• DOI: 10.1080/14786435.2020.1740814
• Languages: English
• ISSNs: 1478-6435

Abstract

ABSTRACT: By considering a nonmonotonic d-wave superconducting (SC) gap effect in electron-doped cuprate superconductors, the energy and momentum dependence of the electronic Raman scattering is studied. The electronic Raman scattering of electron-doped cuprate superconductors has obvious differences with hole-doped case described by a pure d-wave SC gap, which can be attributed to the nonmonotonic d-wave SC gap in electron-doped cuprate superconductors. Three main different behaviours for the electronic Raman scattering spectra between electron-doped and hole-doped cuprate superconductors have been obtained, the intensity comparison of B 1 g and B 2 g spectra, the Raman peak positions as a function of energy for B 1 g and B 2 g spectra, and energy asymptotic behaviour of the low-energy B 1 g spectrum. For electron-doped cuprate superconductors, the intensity of B 2 g spectrum as a function of energy is larger than B 1 g one, and the Raman peak position of B 2 g spectrum appears at a higher energy than B 1 g one, then the low-energy spectrum of B 1 g as a function of energy increases linearly, not ω 3 energy dependence. All these theoretical results of electron-doped cuprate superconductors are in qualitative agreement with the corresponding Raman scattering experimental data.