Pseudorandom Number Generators and the Square Site Percolation Threshold
Michael J. Lee

TL;DR
This paper evaluates various pseudorandom number generators in a Monte Carlo simulation of 2D square site percolation, identifying a high-precision generator and estimating the percolation threshold with improved accuracy.
Contribution
It introduces a test for selecting suitable pseudorandom generators for percolation simulations and provides a precise estimate of the percolation threshold.
Findings
Identified a pseudorandom generator suitable for high-precision calculations.
Estimated the percolation threshold as pc = 0.59274598(4).
Validated the reliability of the simulation results.
Abstract
A select collection of pseudorandom number generators is applied to a Monte Carlo study of the two dimensional square site percolation model. A generator suitable for high precision calculations is identified from an application specific test of randomness. After extended computation and analysis, an ostensibly reliable value of pc = 0.59274598(4) is obtained for the percolation threshold.
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