Crumpling on dynamical φ3 graphs

Simon M. Catterall; Daniel Eisenstein; John B. Kogut; Ray L. Renken

doi:10.1016/0550-3213(91)90033-T

Crumpling on dynamical φ³ graphs

Simon M. Catterall, Daniel Eisenstein, John B. Kogut, Ray L. Renken

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

We study the crumpling transition of dynamical random surfaces, utilising a discretisation based on the dual to a triangulation - a φ³ graph. By implementing a vector algorithm we are able to go to much larger lattices than have been studied in the past. Using finite-size scaling we extract new estimates for the critical exponents α and νd.

Original language	English (US)
Pages (from-to)	647-664
Number of pages	18
Journal	Nuclear Physics, Section B
Volume	366
Issue number	3
DOIs	https://doi.org/10.1016/0550-3213(91)90033-T
State	Published - Dec 9 1991
Externally published	Yes

ASJC Scopus subject areas

Nuclear and High Energy Physics

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10.1016/0550-3213(91)90033-T

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title = "Crumpling on dynamical φ3 graphs",

abstract = "We study the crumpling transition of dynamical random surfaces, utilising a discretisation based on the dual to a triangulation - a φ3 graph. By implementing a vector algorithm we are able to go to much larger lattices than have been studied in the past. Using finite-size scaling we extract new estimates for the critical exponents α and νd.",

author = "Catterall, {Simon M.} and Daniel Eisenstein and Kogut, {John B.} and Renken, {Ray L.}",

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AU - Renken, Ray L.

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N2 - We study the crumpling transition of dynamical random surfaces, utilising a discretisation based on the dual to a triangulation - a φ3 graph. By implementing a vector algorithm we are able to go to much larger lattices than have been studied in the past. Using finite-size scaling we extract new estimates for the critical exponents α and νd.

AB - We study the crumpling transition of dynamical random surfaces, utilising a discretisation based on the dual to a triangulation - a φ3 graph. By implementing a vector algorithm we are able to go to much larger lattices than have been studied in the past. Using finite-size scaling we extract new estimates for the critical exponents α and νd.

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