Efficient numerical methods for the random-field Ising model: Finite-size scaling, reweighting extrapolation, and computation of response functions

NG Fytas, V Martín-Mayor - Physical Review E, 2016 - APS
Physical Review E, 2016APS
It was recently shown [Phys. Rev. Lett. 110, 227201 (2013) PRLTAO 0031-9007
10.1103/PhysRevLett. 110.227201] that the critical behavior of the random-field Ising model
in three dimensions is ruled by a single universality class. This conclusion was reached only
after a proper taming of the large scaling corrections of the model by applying a combined
approach of various techniques, coming from the zero-and positive-temperature toolboxes of
statistical physics. In the present contribution we provide a detailed description of this …
It was recently shown [Phys. Rev. Lett. 110, 227201 (2013)PRLTAO0031-900710.1103/PhysRevLett.110.227201] that the critical behavior of the random-field Ising model in three dimensions is ruled by a single universality class. This conclusion was reached only after a proper taming of the large scaling corrections of the model by applying a combined approach of various techniques, coming from the zero- and positive-temperature toolboxes of statistical physics. In the present contribution we provide a detailed description of this combined scheme, explaining in detail the zero-temperature numerical scheme and developing the generalized fluctuation-dissipation formula that allowed us to compute connected and disconnected correlation functions of the model. We discuss the error evolution of our method and we illustrate the infinite limit-size extrapolation of several observables within phenomenological renormalization. We present an extension of the quotients method that allows us to obtain estimates of the critical exponent of the specific heat of the model via the scaling of the bond energy and we discuss the self-averaging properties of the system and the algorithmic aspects of the maximum-flow algorithm used.
American Physical Society
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