Editing Percolation analysis
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In some systems, with an appropriate definition of bonding criteria, the percolation transition occurs at the same value of the control parameter (density, temperature, [[chemical potential]]) as the thermodynamic transition <ref name=fortunato > [http://dx.doi.org/10.1103/PhysRevB.67.014102 Santo Fortunato, "Critical droplets and phase transitions in two dimensions", Physical Review B ''' 67''' 014102 (2003)] </ref> | In some systems, with an appropriate definition of bonding criteria, the percolation transition occurs at the same value of the control parameter (density, temperature, [[chemical potential]]) as the thermodynamic transition <ref name=fortunato > [http://dx.doi.org/10.1103/PhysRevB.67.014102 Santo Fortunato, "Critical droplets and phase transitions in two dimensions", Physical Review B ''' 67''' 014102 (2003)] </ref> | ||
<ref name=fortunato_2> [http://dx.doi.org/10.1088/0305-4470/36/15/304 Santo Fortunato, "Cluster percolation and critical behaviour in spin models and SU(N) gauge theories", Journal of Physics A: Mathematical and Theoretical '''36''' pp. 4269-4281 (2002)] </ref> | <ref name=fortunato_2> [http://dx.doi.org/10.1088/0305-4470/36/15/304 Santo Fortunato, "Cluster percolation and critical behaviour in spin models and SU(N) gauge theories",Journal of Physics A: Mathematical and Theoretical '''36''' pp. 4269-4281 (2002)] </ref> | ||
<ref name=hu >[http://dx.doi.org//10.1103/PhysRevB.40.5007 Chin-Kun Hu and Kit-Sing Ma, "Monte Carlo study of the Potts model on the square and the simple cubic lattices", Physical Review B '''40''', 5007-5014 (1989)] </ref> | <ref name=hu >[http://dx.doi.org//10.1103/PhysRevB.40.5007 Chin-Kun Hu and Kit-Sing Ma, "Monte Carlo study of the Potts model on the square and the simple cubic lattices", Physical Review B '''40''', 5007 - 5014 (1989) ] </ref> | ||
. In these case [[cluster algorithms|cluster algorithms]] become very efficient, and moreover, the percolation analysis can be useful to develop algorithms to locate the transition (see the [[cluster algorithms|cluster algorithms]] page for more details). | . In these case [[cluster algorithms|cluster algorithms]] become very efficient, and moreover, the percolation analysis can be useful to develop algorithms to locate the transition (see the [[cluster algorithms|cluster algorithms]] page for more details). | ||