{ "id": "1512.06571", "version": "v1", "published": "2015-12-21T10:40:37.000Z", "updated": "2015-12-21T10:40:37.000Z", "title": "Efficient numerical methods for the random-field Ising model: Finite-size scaling, reweighting extrapolation, and computation of response functions", "authors": [ "Nikolaos G. Fytas", "Victor Martin-Mayor" ], "comment": "15 pages, 9 figures, 2 tables", "categories": [ "cond-mat.dis-nn" ], "abstract": "It was recently shown [Phys. Rev. Lett. {\\bf 110}, 227201 (2013)] 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 $\\alpha$ 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.", "revisions": [ { "version": "v1", "updated": "2015-12-21T10:40:37.000Z" } ], "analyses": { "keywords": [ "random-field ising model", "efficient numerical methods", "response functions", "reweighting extrapolation", "finite-size scaling" ], "note": { "typesetting": "TeX", "pages": 15, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2015arXiv151206571F" } } }