Understanding Domain Wall Network Evolution
P.P. Avelino, J.C.R.E. Oliveira, C.J.A.P. Martins

TL;DR
This paper uses large-scale simulations to study the evolution of cosmological domain wall networks, confirming their slow approach to a linear scaling solution and analyzing uncertainties in key parameters across different dimensions.
Contribution
It provides high-resolution simulation data on domain wall network evolution, comparing analytic predictions with numerical results across multiple dimensions and eras.
Findings
Networks tend toward a linear scaling solution over time
Early times show small deviations from scaling, late times have larger uncertainties
Simulation results agree well with analytic predictions
Abstract
We study the cosmological evolution of domain wall networks in two and three spatial dimensions in the radiation and matter eras using a large number of high-resolution field theory simulations with a large dynamical range. We investigate the dependence of the uncertainty in key parameters characterising the evolution of the network on the size, dynamical range and number of spatial dimensions of the simulations and show that the analytic prediction compares well with the simulation results. We find that there is ample evidence from the simulations of a slow approach of domain wall networks towards a linear scaling solution. However, while at early times the uncertainty in the value of the scaling exponent is small enough for deviations from the scaling solution to be measured, at late times the error bars are much larger and no strong deviations from the scaling solution are found.
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.
