Using the average spectrum method to extract dynamics from quantum Monte Carlo simulations

TL;DR

This paper demonstrates that the Average Spectrum Method effectively extracts excitation spectra from imaginary-time quantum Monte Carlo data, accurately capturing dominant features and continuum regions with high-quality simulations.

Contribution

The study introduces the application of the Average Spectrum Method to quantum Monte Carlo data, improving spectral analysis capabilities in many-particle systems.

Findings

Accurately reproduces dominant spectral features

Provides insights into spectra in continuum regions

Effective with high-quality QMC data

Abstract

We apply the Average Spectrum Method to the problem of getting the excitation spectrum from imaginary-time quantum Monte Carlo simulations. We show that with high quality QMC data this method reproduces the dominant spectral features very well. It is also capable of giving information on the spectrum in regions dominated by the many-particle continuum of excitations.