Abstract
Thermal or finite-size scaling analyses of importance sampling Monte Carlo computer simulations in the vicinity of phase transition points often combine different estimates for the same quantity, such as a critical exponent, with the intent to reduce statistical fluctuations. We point out that the origin of such estimates in the same time series often results in pronounced cross correlations which are usually ignored even in high-precision studies, generically leading to significant underestimation of statistical fluctuations. We suggest to use a simple extension of the conventional analysis taking correlation effects into account, which leads to improved estimators with often substantially reduced statistical fluctuations at almost no extra cost in terms of computation time.
- Received 11 October 2008
DOI:https://doi.org/10.1103/PhysRevLett.102.100601
©2009 American Physical Society
Synopsis
Forget them not
Published 13 April 2009
Cross-correlations in Monte Carlo simulation data can be used for numerical estimates of superior statistical quality.
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