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Cosmological evolution of semilocal string networks.

A Achúcarro1,2, A Avgoustidis3, A López-Eiguren4

  • 1Institute Lorentz of Theoretical Physics, University of Leiden, 2333CA Leiden, The Netherlands.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|November 12, 2019
PubMed
Summary
This summary is machine-generated.

Semilocal strings, a type of non-topological defect, exhibit unique segment behaviors unlike topological cosmic strings. A proposed model describes their cosmological evolution and scaling, supported by preliminary numerical evidence.

Keywords:
cosmic stringsglobal monopolesnon-topological defectssemilocal strings

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Area of Science:

  • Cosmology
  • Particle Physics
  • Theoretical Physics

Background:

  • Semilocal strings are stable non-topological defects.
  • They share properties with topological Abrikosov-Nielsen-Olesen vortices.
  • A key difference is the presence of segments, or 'dumbbells', in semilocal string networks.

Purpose of the Study:

  • To investigate the cosmological evolution and scaling of semilocal string networks.
  • To develop a 'thermodynamic' description for semilocal string network dynamics.
  • To propose a model for the time evolution of semilocal string network parameters.

Main Methods:

  • Analysis of semilocal string properties and network behavior.
  • Comparison with existing models for cosmic strings and monopoles.
  • Development of a theoretical model for network evolution.
  • Preliminary numerical simulations to support the model.

Main Results:

  • Semilocal string networks contain segments that can shrink or grow.
  • These networks can reach a scaling regime.
  • A model for the time evolution of length scale and velocity has been proposed.
  • Preliminary numerical evidence supports the model's predictions.

Conclusions:

  • Semilocal strings present a distinct class of cosmological defects.
  • The proposed model offers a framework for understanding their scaling behavior.
  • Further numerical and theoretical work is needed to fully validate the model.