The Average Spectrum Method for the Analytic Continuation of Imaginary-Time Data
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In this paper we present the average spectrum method, a new method for obtaining real-frequency information from imaginary-time quantum Monte Carlo data. This technique does not require the adjustable parameters, smoothness constraints, or model forms of some previous techniques, yet produces smooth, consistent spectra from noisy data-Various tests of the method on mock data are presented, as well as realistic applications to the two-dimensional Hubbard model.
KeywordsAnalytic Continuation Hubbard Model Average Spectrum Maximum Entropy Method Pairing Symmetry
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