Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2011-04-13
Phys. Rev. E84: 025703,2011
Physics
Condensed Matter
Statistical Mechanics
5 pages, 1 figure, 2 tables; v2: slightly changed title, improved presentation, results unchanged
Scientific paper
10.1103/PhysRevE.84.025703
In the finite-size scaling analysis of Monte Carlo data, instead of computing the observables at fixed Hamiltonian parameters, one may choose to keep a renormalization-group invariant quantity, also called phenomenological coupling, fixed at a given value. Within this scheme of finite-size scaling, we exploit the statistical covariance between the observables in a Monte Carlo simulation in order to reduce the statistical errors of the quantities involved in the computation of the critical exponents. This method is general and does not require additional computational time. This approach is demonstrated in the Ising model in two and three dimensions, where large gain factors in CPU time are obtained.
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