Analytic continuation by averaging Padé approximants

Johan Schött, Inka L. M. Locht, Elin Lundin, Oscar Grånäs, Olle Eriksson, and Igor Di Marco
Phys. Rev. B 93, 075104 – Published 2 February 2016

Abstract

The ill-posed analytic continuation problem for Green's functions and self-energies is investigated by revisiting the Padé approximants technique. We propose to remedy the well-known problems of the Padé approximants by performing an average of several continuations, obtained by varying the number of fitted input points and Padé coefficients independently. The suggested approach is then applied to several test cases, including Sm and Pr atomic self-energies, the Green's functions of the Hubbard model for a Bethe lattice and of the Haldane model for a nanoribbon, as well as two special test functions. The sensitivity to numerical noise and the dependence on the precision of the numerical libraries are analyzed in detail. The present approach is compared to a number of other techniques, i.e., the nonnegative least-squares method, the nonnegative Tikhonov method, and the maximum entropy method, and is shown to perform well for the chosen test cases. This conclusion holds even when the noise on the input data is increased to reach values typical for quantum Monte Carlo simulations. The ability of the algorithm to resolve fine structures is finally illustrated for two relevant test functions.

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  • Received 11 November 2015
  • Revised 30 December 2015

DOI:https://doi.org/10.1103/PhysRevB.93.075104

©2016 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Johan Schött1, Inka L. M. Locht1,2, Elin Lundin1, Oscar Grånäs1,3, Olle Eriksson1, and Igor Di Marco1

  • 1Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden
  • 2Institute of Molecules and Materials, Radboud University of Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
  • 3School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA

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Issue

Vol. 93, Iss. 7 — 15 February 2016

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