Magnetic hour-glass dispersion and its relation to high-temperature superconductivity in iron-tuned Fe$_{1+y}$Te$_{0.7}$Se$_{0.3}$
N. Tsyrulin, R. Viennois, E. Giannini, M. Boehm, M. Jimenez-Ruiz, A., A. Omrani, B. Dalla Piazza, H. M. Ronnow

TL;DR
This study shows that an hourglass-shaped magnetic dispersion in Fe-based superconductors likely preconditions superconductivity, with spectral weight shifts occurring as a consequence of the superconducting state, revealing insights into spin fluctuations' role.
Contribution
It demonstrates that hourglass-shaped magnetic dispersion precedes superconductivity in Fe$_{1+y}$Te$_{0.7}$Se$_{0.3}$, highlighting its potential role as a prerequisite for high-temperature superconductivity.
Findings
Hourglass-shaped dispersion develops above $T_c$ in superconducting samples.
Spin-gap and spectral weight shifts occur below $T_c$.
Inward dispersion towards the wave-vector is crucial for superconductivity.
Abstract
High-temperature superconductivity remains arguably the largest outstanding enigma of condensed matter physics. The discovery of iron-based high-temperature superconductors has renewed the importance of understanding superconductivity in materials susceptible to magnetic order and fluctuations. Intriguingly they show magnetic fluctuations reminiscent of the superconducting (SC) cuprates, including a 'resonance' and an 'hour-glass' shaped dispersion, which provide an opportunity to new insight to the coupling between spin fluctuations and superconductivity. Here we report inelastic neutron scattering data on FeTeSe using excess iron concentration to tune between a SC () and a non-SC () ground states. We find incommensurate spectra in both samples but discover that in the one that becomes SC, a constriction towards a commensurate hourglass shape…
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.
