{ "id": "1102.4149", "version": "v3", "published": "2011-02-21T07:08:11.000Z", "updated": "2011-11-18T16:59:31.000Z", "title": "Bayesian Inference in the Scaling Analysis of Critical Phenomena", "authors": [ "Kenji Harada" ], "comment": "7 pages, 8 figures, and 1 table", "journal": "Phys. Rev. E 84, 056704 (2011)", "doi": "10.1103/PhysRevE.84.056704", "categories": [ "cond-mat.stat-mech", "cond-mat.str-el", "physics.comp-ph", "physics.data-an" ], "abstract": "To determine the universality class of critical phenomena, we propose a method of statistical inference in the scaling analysis of critical phenomena. The method is based on Bayesian statistics, most specifically, the Gaussian process regression. It assumes only the smoothness of a scaling function, and it does not need a form. We demonstrate this method for the finite-size scaling analysis of the Ising models on square and triangular lattices. Near the critical point, the method is comparable in accuracy to the least-square method. In addition, it works well for data to which we cannot apply the least-square method with a polynomial of low degree. By comparing the data on triangular lattices with the scaling function inferred from the data on square lattices, we confirm the universality of the finite-size scaling function of the two-dimensional Ising model.", "revisions": [ { "version": "v3", "updated": "2011-11-18T16:59:31.000Z" } ], "analyses": { "subjects": [ "05.10.-a", "64.60.F-", "02.50.Tt" ], "keywords": [ "scaling analysis", "critical phenomena", "bayesian inference", "scaling function", "triangular lattices" ], "tags": [ "journal article" ], "publication": { "publisher": "APS", "journal": "Physical Review E", "year": 2011, "month": "Nov", "volume": 84, "number": 5, "pages": "056704" }, "note": { "typesetting": "TeX", "pages": 7, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2011PhRvE..84e6704H" } } }