Evolution of semilocal string networks: large-scale properties

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 linea...

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Main Authors: Achúcarro, A., Avgoustidis, Anastasios, Leite, A.M.M., Lopez-Eiguren, A., Martins, C.J.A.P., Nunes, A.S., Urrestilla, J.
Format: Article
Published: American Physical Society 2014
Online Access:https://eprints.nottingham.ac.uk/34958/
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author Achúcarro, A.
Avgoustidis, Anastasios
Leite, A.M.M.
Lopez-Eiguren, A.
Martins, C.J.A.P.
Nunes, A.S.
Urrestilla, J.
author_facet Achúcarro, A.
Avgoustidis, Anastasios
Leite, A.M.M.
Lopez-Eiguren, A.
Martins, C.J.A.P.
Nunes, A.S.
Urrestilla, J.
author_sort Achúcarro, A.
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-349582020-05-04T16:45:23Z https://eprints.nottingham.ac.uk/34958/ Evolution of semilocal string networks: large-scale properties Achúcarro, A. Avgoustidis, Anastasios Leite, A.M.M. Lopez-Eiguren, A. Martins, C.J.A.P. Nunes, A.S. Urrestilla, J. 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. American Physical Society 2014-03-05 Article PeerReviewed Achúcarro, A., Avgoustidis, Anastasios, Leite, A.M.M., Lopez-Eiguren, A., Martins, C.J.A.P., Nunes, A.S. and Urrestilla, J. (2014) Evolution of semilocal string networks: large-scale properties. Physical Review D, 89 (6). 063503/1-063503/12. ISSN 2470-0029 http://journals.aps.org/prd/abstract/10.1103/PhysRevD.89.063503 doi:10.1103/PhysRevD.89.063503 doi:10.1103/PhysRevD.89.063503
spellingShingle Achúcarro, A.
Avgoustidis, Anastasios
Leite, A.M.M.
Lopez-Eiguren, A.
Martins, C.J.A.P.
Nunes, A.S.
Urrestilla, J.
Evolution of semilocal string networks: large-scale properties
title Evolution of semilocal string networks: large-scale properties
title_full Evolution of semilocal string networks: large-scale properties
title_fullStr Evolution of semilocal string networks: large-scale properties
title_full_unstemmed Evolution of semilocal string networks: large-scale properties
title_short Evolution of semilocal string networks: large-scale properties
title_sort evolution of semilocal string networks: large-scale properties
url https://eprints.nottingham.ac.uk/34958/
https://eprints.nottingham.ac.uk/34958/
https://eprints.nottingham.ac.uk/34958/