Cluster tomography in percolation

In cluster tomography, we propose measuring the number of clusters N intersected by a line segment of length ℓ across a finite sample. As expected, the leading order of N(ℓ) scales as aℓ, where a depends on microscopic details of the system. However, at criticality, there is often an additional nonl...

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Main Authors: Helen S. Ansell, Samuel J. Frank, István A. Kovács
Format: Article
Language:English
Published: American Physical Society 2023-12-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.5.043218
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author Helen S. Ansell
Samuel J. Frank
István A. Kovács
author_facet Helen S. Ansell
Samuel J. Frank
István A. Kovács
author_sort Helen S. Ansell
collection DOAJ
description In cluster tomography, we propose measuring the number of clusters N intersected by a line segment of length ℓ across a finite sample. As expected, the leading order of N(ℓ) scales as aℓ, where a depends on microscopic details of the system. However, at criticality, there is often an additional nonlinearity of the form bln(ℓ), originating from the endpoints of the line segment. By performing large scale Monte Carlo simulations of both two- and three-dimensional percolation, we find that b is universal and depends only on the angles encountered at the endpoints of the line segment intersecting the sample. Our findings are further supported by analytic arguments in two dimensions, building on results in conformal field theory. Being broadly applicable, cluster tomography can be an efficient tool for detecting phase transitions and characterizing the corresponding universality class in classical or quantum systems with a relevant cluster structure.
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spelling doaj.art-d6f47b936f9947608dc92b91bd37fdac2024-04-12T17:36:45ZengAmerican Physical SocietyPhysical Review Research2643-15642023-12-015404321810.1103/PhysRevResearch.5.043218Cluster tomography in percolationHelen S. AnsellSamuel J. FrankIstván A. KovácsIn cluster tomography, we propose measuring the number of clusters N intersected by a line segment of length ℓ across a finite sample. As expected, the leading order of N(ℓ) scales as aℓ, where a depends on microscopic details of the system. However, at criticality, there is often an additional nonlinearity of the form bln(ℓ), originating from the endpoints of the line segment. By performing large scale Monte Carlo simulations of both two- and three-dimensional percolation, we find that b is universal and depends only on the angles encountered at the endpoints of the line segment intersecting the sample. Our findings are further supported by analytic arguments in two dimensions, building on results in conformal field theory. Being broadly applicable, cluster tomography can be an efficient tool for detecting phase transitions and characterizing the corresponding universality class in classical or quantum systems with a relevant cluster structure.http://doi.org/10.1103/PhysRevResearch.5.043218
spellingShingle Helen S. Ansell
Samuel J. Frank
István A. Kovács
Cluster tomography in percolation
Physical Review Research
title Cluster tomography in percolation
title_full Cluster tomography in percolation
title_fullStr Cluster tomography in percolation
title_full_unstemmed Cluster tomography in percolation
title_short Cluster tomography in percolation
title_sort cluster tomography in percolation
url http://doi.org/10.1103/PhysRevResearch.5.043218
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