Dynamics of the superconducting order parameter through ultrafast normal-to-superconducting phase transition in Bi$_{2}$Sr$_{2}$CaCu$_{2}$O$_{8+\delta}$ from multi-pulse polarization-resolved transient optical reflectivity
I. Madan (1, 2), V.V. Baranov (1), Y. Toda (3), M. Oda (4), T., Kurosawa (4), V.V. Kabanov (1), T. Mertelj (1, 5), D. Mihailovic (1, 5), ((1) Complex Matter Department, Jozef Stefan Institute (2) Laboratory for, Ultrafast Microscopy, Electron Scattering, IPHYS

TL;DR
This study investigates the ultrafast dynamics of the superconducting order parameter in Bi$_{2}$Sr$_{2}$CaCu$_{2}$O$_{8+\delta}$ using polarization-resolved transient optical reflectivity, revealing anisotropic gap recovery and comparing experimental results with theoretical models.
Contribution
It provides a detailed temperature-dependent analysis of the femtosecond optical response during the normal-to-superconducting transition in a cuprate superconductor, integrating experimental data with theoretical modeling.
Findings
Anisotropic superconducting gap recovery timescales at low temperatures.
Qualitative agreement between optical dynamics and TR-ARPES measurements.
Validation of phenomenological response functions with Ginzburg-Landau simulations.
Abstract
A systematic temperature dependent study of the femtosecond optical superconducting (SC) state destruction and recovery in BiSrCaCuO cuprate superconductor by means of the all-optical polarization-sensitive multi-pulse spectroscopy is presented. At low temperatures and a partial SC state suppression an anisotropic SC-gap recovery-timescale is suggested by the data. The SC state destruction and recovery dynamics are compared to the recent TR-ARPES-inferred SC-gap dynamics and a qualitative agreement is found. Using a phenomenological response function the experimental data are also compared to time dependent Ginzburg-Landau model simulations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
