Analytic continuation from limited noisy Matsubara data
نویسندگان
چکیده
This note proposes a new algorithm for estimating spectral function from limited noisy Matsubara data. We consider both the molecule and condensed matter cases. In each case, constructs an interpolant of data uses conformal mapping Prony's method to estimate function. Numerical results are provided demonstrate performance algorithm.
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ژورنال
عنوان ژورنال: Journal of Computational Physics
سال: 2022
ISSN: ['1090-2716', '0021-9991']
DOI: https://doi.org/10.1016/j.jcp.2022.111549