Algorithmic Matsubara Integration for Hubbard-like models
Abstract
We present an algorithm to evaluate Matsubara sums for Feynman diagrams comprised of bare Green's functions with single-band dispersions with local U Hubbard interaction vertices. The algorithm provides an exact construction of the analytic result for the frequency integrals of a diagram that can then be evaluated for all parameters , temperature , chemical potential , external frequencies and internal/external momenta. This method allows for symbolic analytic continuation of results to the real frequency axis, avoiding any ill-posed numerical procedure. When combined with diagrammatic Monte-Carlo, this method can be used to simultaneously evaluate diagrams throughout the entire phase space of Hubbard-like models at minimal computational expense.
Keywords
Cite
@article{arxiv.1808.05188,
title = {Algorithmic Matsubara Integration for Hubbard-like models},
author = {Amir Taheridehkordi and S. H. Curnoe and J. P. F. LeBlanc},
journal= {arXiv preprint arXiv:1808.05188},
year = {2019}
}
Comments
5 pages, 3 figures