English

Extraction of the frequency moments of spectral densities from imaginary-time correlation function data

Quantum Gases 2023-05-10 v1 Statistical Mechanics Chemical Physics

Abstract

We introduce an exact framework to compute the positive frequency moments M(α)(q)=ωαM^{(\alpha)}(\mathbf{q})=\braket{\omega^\alpha} of different dynamic properties from imaginary-time quantum Monte Carlo data. As a practical example, we obtain the first five moments of the dynamic structure factor S(q,ω)S(\mathbf{q},\omega) of the uniform electron gas at the electronic Fermi temperature based on \emph{ab initio} path integral Monte Carlo simulations. We find excellent agreement with known sum rules for α=1,3\alpha=1,3, and, to our knowledge, present the first results for α=2,4,5\alpha=2,4,5. Our idea can be straightforwardly generalized to other dynamic properties such as the single-particle spectral function A(q,ω)A(\mathbf{q},\omega), and will be useful for a number of applications, including the study of ultracold atoms, exotic warm dense matter, and condensed matter systems.

Keywords

Cite

@article{arxiv.2301.08444,
  title  = {Extraction of the frequency moments of spectral densities from imaginary-time correlation function data},
  author = {Tobias Dornheim and Damar C. Wicaksono and Juan E. Suarez-Cardona and Panagiotis Tolias and Maximilian Böhme and Zhandos Moldabekov and Michael Hecht and Jan Vorberger},
  journal= {arXiv preprint arXiv:2301.08444},
  year   = {2023}
}