Covariant gaussian approximation in Ginzburg - Landau model
J.F. Wang, Dingping Li, H.C. Kao, B. Rosenstein

TL;DR
This paper introduces a covariant gaussian approximation for the Ginzburg-Landau model that better captures fluctuation effects in superconductors, aligning with experiments and obeying Ward identities.
Contribution
The paper develops a covariant gaussian approximation that improves upon traditional self-consistent methods by preserving Ward identities and accurately describing fluctuations.
Findings
Better agreement with Monte Carlo simulations
Enhanced description of fluctuation effects
Consistent with experimental data in high T_c cuprates
Abstract
Condensed matter systems undergoing second order transition away from the critical fluctuation region are usually described sufficiently well by the mean field approximation. The critical fluctuation region, determined by the Ginzburg criterion, , is narrow even in high superconductors and has universal features well captured by the renormalization group method. However recent experiments on magnetization, conductivity and Nernst effect suggest that fluctuations effects are large in a wider region both above and below . In particular some "pseudogap" phenomena and strong renormalization of the mean field critical temperature can be interpreted as strong fluctuations effects that are nonperturbative (cannot be accounted for by "gaussian fluctuations"). The physics in a broader region therefore requires more accurate…
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