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Numerical analytic continuation of Euclidean dataстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Tripolt Ralf-Arno, Gubler Philipp, Ulybyshev Maksim, von Smekal Lorenz
- Журнал: Computer Physics Communications
- Год издания: 2018
- Издательство: Elsevier BV
- Местоположение издательства: Netherlands
- DOI: 10.1016/j.cpc.2018.11.012
- Аннотация: In this work we present a direct comparison of three different numerical analytic continuation methods: the Maximum Entropy Method, the Backus–Gilbert method and the Schlessinger point or Resonances Via Padé method. First, we perform a benchmark test based on a model spectral function and study the regime of applicability of these methods depending on the number of input points and their statistical error. We then apply these methods to more realistic examples, namely to numerical data on Euclidean propagators obtained from a Functional Renormalization Group calculation, to data from a lattice Quantum Chromodynamics simulation and to data obtained from a tight-binding model for graphene in order to extract the electrical conductivity.
- Добавил в систему: Улыбышев Максим Владимирович