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Bond counting Monte Carlo for the 2-D Ising model in an external field

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dc.creator Dias H. G.
dc.creator Florencio J.
dc.date 2000
dc.date.accessioned 2013-05-30T00:26:37Z
dc.date.available 2013-05-30T00:26:37Z
dc.date.issued 2013-05-30
dc.identifier http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332000000400013
dc.identifier http://www.doaj.org/doaj?func=openurl&genre=article&issn=01039733&date=2000&volume=30&issue=4&spage=708
dc.identifier.uri http://koha.mediu.edu.my:8181/jspui/handle/123456789/3090
dc.description We propose an improvement of a Monte Carlo method designed to treat the Ising model in a field [C. Lieu and J. Florencio, J. Low Temp. Phys. 89, 565 (1992)]. The method involves the counting of bonds linking neighboring like-spins and yields the degeneracy of the system's energy states, hence the partition function. There is no acceptance-rejection procedure and all the randomly generated configurations are kept. The sampling depends on geometry only, so results of a given run can be used for all temperatures and energy parameters. In order to understand the virtues and inadequacies of the method, we obtained exact results for small lattices. We find that a Monte Carlo run must be followed by a Gaussian fit in order to account properly for the rare events not recorded in the sampling. Finally, we also established bounds for the location of the peak for the specifc heat of the Ising model in a magnetic field in two dimensions for several values of the field in the thermodynamic limit.
dc.publisher Sociedade Brasileira de Física
dc.source Brazilian Journal of Physics
dc.title Bond counting Monte Carlo for the 2-D Ising model in an external field


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