Nevanlinna.jl: A Julia implementation of Nevanlinna analytic continuation
arxiv(2023)
摘要
We introduce a Julia implementation of the recently proposed Nevanlinna
analytic continuation method. The method is based on Nevanlinna interpolants
and, by construction, preserves the causality of a response function. For
theoretical calculations without statistical noise, this continuation method is
a powerful tool to extract real-frequency information from numerical input data
on the Matsubara axis. This method has been applied to first-principles
calculations of correlated materials. This paper presents its efficient and
full-featured open-source implementation of the method including the Hamburger
moment problem and smoothing.
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