Cross-correlations in scaling analyses of phase transitions

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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4 pages, RevTEX4, 3 tables, 1 figure

Scientific paper

10.1103/PhysRevLett.102.100601

Thermal or finite-size scaling analyses of importance sampling Monte Carlo time series 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 results in often 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.

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