Fluid Coexistence close to Criticality: Scaling Algorithms for Precise Simulation
Abstract
A novel algorithm is presented that yields precise estimates of coexisting liquid and gas densities, , from grand canonical Monte Carlo simulations of model fluids near criticality. The algorithm utilizes data for the isothermal minima of the moment ratio in boxes, where . When the minima, , tend to zero while their locations, , approach and . Finite-size scaling relates the ratio {\boldmath } {\em universally} to , where is the desired width of the coexistence curve. Utilizing the exact limiting form, the corresponding scaling function can be generated in recursive steps by fitting overlapping data for three or more box sizes, , , , . Starting at a sufficiently far below and suitably choosing intervals 0 yields and precisely locates .
Cite
@article{arxiv.cond-mat/0411736,
title = {Fluid Coexistence close to Criticality: Scaling Algorithms for Precise Simulation},
author = {Young C. Kim and Michael E. Fisher},
journal= {arXiv preprint arXiv:cond-mat/0411736},
year = {2009}
}