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Title: 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 𝑎⁢ℓ, where 𝑎 depends on microscopic details of the system. However, at criticality, there is often an additional nonlinearity of the form 𝑏⁢ln⁡(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.  more » « less
Award ID(s):
2310706
PAR ID:
10524398
Author(s) / Creator(s):
; ;
Publisher / Repository:
Physical Review Research
Date Published:
Journal Name:
Physical Review Research
Volume:
5
Issue:
4
ISSN:
2643-1564
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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