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arxiv: 1808.05188 · v1 · pith:ZAMVCH6Inew · submitted 2018-08-15 · ❄️ cond-mat.str-el

Algorithmic Matsubara Integration for Hubbard-like models

classification ❄️ cond-mat.str-el
keywords algorithmanalyticdiagramsevaluateexternalfrequencyhubbard-likematsubara
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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 $U$, temperature $T$, chemical potential $\mu$, 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 $T-U-\mu$ phase space of Hubbard-like models at minimal computational expense.

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