1999
DOI: 10.1088/0305-4470/32/1/004
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Scaling corrections: site percolation and Ising model in three dimensions

Abstract: Using Finite-Size Scaling techniques we obtain accurate results for critical quantities of the Ising model and the site percolation, in three dimensions. We pay special attention in parameterizing the corrections-to-scaling, what is necessary to put the systematic errors below the statistical ones.

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Cited by 179 publications
(157 citation statements)
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“…We also report the sequence γ (n) for the Ising model. If we extrapolate the results assuming a behavior of the form a + bn −∆ , with ∆ = 0.52, we obtain γ = 1.23857, 1.23832, 1.23801 using pairs n = (21, 23), (22,24), and (23,25). Clearly, the estimates converge towards the IA estimate γ = 1.2373(2).…”
Section: The Ratio Methodsmentioning
confidence: 70%
“…We also report the sequence γ (n) for the Ising model. If we extrapolate the results assuming a behavior of the form a + bn −∆ , with ∆ = 0.52, we obtain γ = 1.23857, 1.23832, 1.23801 using pairs n = (21, 23), (22,24), and (23,25). Clearly, the estimates converge towards the IA estimate γ = 1.2373(2).…”
Section: The Ratio Methodsmentioning
confidence: 70%
“…For c > 0 we found also a sharp data collapse, but for a monotonically increasing exponent ν, which is for large c values compatible with the percolation critical exponent ν = 0.8765(16) on a three-dimensional simple cubic lattice. 23 One should keep in mind, however, that neither β 3D,c as extrapolated from the susceptibility peaks nor the estimate obtained from the crossing point in Fig. 5(a) is compatible with β c .…”
Section: Simulation and Resultsmentioning
confidence: 84%
“…To extract critical exponents and critical temperatures, we have used the quotient methods: 18,19,35 for a pair of lattices of sizes L and 2L we choose the temperature where the correlation lengths in units of the lattice size coincide ͑2 L = 2L ͒. Up to scaling corrections, the matching temperature is the critical point.…”
Section: Monte Carlo Simulationmentioning
confidence: 99%
“…Let now O be a generic observable diverging at the critical point like ͉t͉ −x O . Then, one has ͑up to scaling corrections 18,19,35 …”
Section: Monte Carlo Simulationmentioning
confidence: 99%