Quantitative analysis of Sr2RuO4 ARPES spectra: Many-body interactions in a model Fermi liquid
N.J.C. Ingle, K.M. Shen, F. Baumberger, W. Meevasana, D.H. Lu, Z.X., Shen, A. Damascelli, S. Nakatsuji, Z.Q. Mao, Y. Maeno, T. Kimura, and Y., Tokura

TL;DR
This paper presents a novel fitting method for ARPES spectra of Sr2RuO4, enabling precise extraction of many-body interaction parameters and confirming Fermi liquid behavior through linewidth and self-energy analysis.
Contribution
It introduces a quantitative fitting procedure that deconvolves ARPES spectra to analyze many-body interactions in Sr2RuO4, providing the first complete ARPES-based Fermi liquid characterization.
Findings
ARPES linewidth narrower than binding energy, indicating quasiparticles.
Electron-electron scattering decreases with Fermi energy as expected in Fermi liquids.
Self-energy magnitude aligns with DC transport measurements.
Abstract
ARPES spectra hold a wealth of information about the many-body interactions in a correlated material. However, the quantitative analysis of ARPES spectra to extract the various coupling parameters in a consistent manner is extremely challenging, even for a model Fermi liquid system. We propose a fitting procedure which allows quantitative access to the intrinsic lineshape, deconvolved of energy and momentum resolution effects, of the correlated 2-dimensional material Sr2RuO4. For the first time in correlated 2-dimensional materials, we find an ARPES linewidth that is narrower than its binding energy, a key property of quasiparticles within Fermi liquid theory. We also find that when the electron-electron scattering component is separated from the electron-phonon and impurity scattering terms it decreases with a functional form compatible with Fermi liquid theory as the Fermi energy is…
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.
