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Evolution of semilocal string networks: Large-scale properties

Year: 2014
Type: article
Abstract: We report on a detailed numerical study of the evolution of semilocal string networks, based on the largest and most accurate field theory simulations of these objects to date. We focus on the large-scale network properties, confirming earlier indications (coming from smaller simulations) that linear scaling is the attractor solution for the entire parameter space of initial conditions that we are able to probe. We also provide a brief comparison of our numerical results with the predictions of a previously developed one-scale model for the overall evolution of these networks. Two subsequent papers will discuss in more detail the analytic modeling of the semilocal segment populations as well as optimized numerical diagnostics.
DOI: 10.1103/physrevd.89.063503
Authors: A. Achúcarro, A. Avgoustidis, A. M. M. Leite, A. Lopez-Eiguren, C. J. A. P. Martins, A. S. Nunes, J. Urrestilla
Institutions: Leiden University, University of the Basque Country, University of Nottingham, École Polytechnique, Universidade do Porto, Centro de Astrofísica da Universidade do Porto, University of Lisbon
Language: English
Open Access status: bronze
Funders: European Commission, Eusko Jaurlaritza, Euskal Herriko Unibertsitatea, Universidade de Coimbra, Ministério da Ciência, Tecnologia e Ensino Superior, Science and Technology Facilities Council, Fundação para a Ciência e a Tecnologia, FP7 People: Marie-Curie Actions
Awards: G2619424699, G3749361221, G393915901, G4033576718, G5562923697, G6138753802, G7216308254, Early Universe Modelling and Confrontation with Cosmological Data, G7760437842, G8710606730, G8952488736
OpenAlex ID: W2332787334
FWCI: 1.611
Cites: 72
Cited by: 19
Related to: 10