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- W1895108454 abstract "We develop a new smoothing or extrapolating method, based on discrete Laguerre functions, for systematically analyzing the stochastic signal of shifted-contour auxiliary-field Monte Carlo. We study the statistical errors and extrapolation errors using full configuration-interaction energies for the doubly stretched water molecule. The only free parameter is the order N of the fit. We show that low N emphasizes stability while higher N enable improved extrapolation, at the cost of increased statistical errors. Typically, one should use low order for signals based on a small number of iterations while higher order is efficacious for signals based on large number of iterations. We provide a heuristic algorithm for determining the order to be used and show its utility." @default.
- W1895108454 created "2016-06-24" @default.
- W1895108454 creator A5028125806 @default.
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- W1895108454 date "2015-04-21" @default.
- W1895108454 modified "2023-10-18" @default.
- W1895108454 title "Smoothing and extrapolating shifted-contour auxiliary-field Monte Carlo signals using discrete Laguerre functions" @default.
- W1895108454 doi "https://doi.org/10.48550/arxiv.1504.05452" @default.
- W1895108454 hasPublicationYear "2015" @default.
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