Multitension strings in high-resolution U(1)$\times$U(1) simulations
J. R. C. C. C. Correia, C. J. A. P. Martins

TL;DR
This study uses high-resolution GPU simulations to analyze the evolution and scaling behavior of multitension U(1)×U(1) cosmic string networks, providing insights into their dynamics and potential observational signatures.
Contribution
It presents the largest field theory simulations of multitension string networks, demonstrating scaling and bound state behaviors with implications for cosmic superstring models.
Findings
Robust evidence of scaling for the lightest strings.
Linearly growing average length of bound state segments.
Tentative evidence for a constant fraction of bound states in different eras.
Abstract
Topological defects are a fossil relic of early Universe phase transitions, with cosmic strings being the best motivated example. While in most cases one studies Nambu-Goto or Abelian-Higgs strings, one also expects that cosmologically realistic strings should have additional degrees of freedom in their worldsheets, one specific example being superstrings from Type IIB superstring theory. Here we continue the scientific exploitation of our recently developed multi-GPU field theory cosmic strings code to study the evolution of U(1)U(1) multitension networks, which are a numerically convenient proxy: these contain two lowest-tension strings networks able to interact and form bound states, providing a convenient first approximation to the behaviour expected from cosmic superstrings. (...) We rely on the largest field theory simulations of this model so far, specifically ,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications · Particle physics theoretical and experimental studies · Distributed and Parallel Computing Systems
