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How fast does the WallGo? A package for computing wall velocities in first-order phase transitions

Published inThe journal of high energy physics, vol. 04, no. 4
Publication date2025
First online date2025-04-15
Abstract

WallGo is an open-source software designed to compute the bubble wall velocity in first-order cosmological phase transitions. Additionally, it evaluates the energy budget available for generating gravitational waves. The main part of WallGo, built in Python, determines the wall velocity by solving the scalar-field(s) equation of motion, the Boltzmann equations and energy-momentum conservation for the fluid velocity and temperature. WallGo also includes two auxiliary modules: WallGoMatrix, which computes matrix elements for out-of-equilibrium particles, and WallGoCollision, which performs higher-dimensional integrals for Boltzmann collision terms. Users can implement custom models by defining an effective potential and specifying a list of out-of-equilibrium particles and their interactions.As the first public software to compute the wall velocity including out-of-equilibrium contributions, WallGo improves the precision of the computation compared to common assumptions in earlier computations. It utilises a spectral method for the deviation from equilibrium and collision terms that provides exponential convergence in basis polynomials, and supports multiple out-of-equilibrium particles, allowing for Boltzmann mixing terms. WallGo is tailored for non-runaway wall scenarios where leading-order coupling effects dominate friction.While this work introduces the software and the underlying theory, a more detailed documentation can be found in https://wallgo.readthedocs.io.

Keywords
  • Phase Transitions in the Early Universe
  • Early Universe Particle Physics
Citation (ISO format)
EKSTEDT, Andreas et al. How fast does the WallGo? A package for computing wall velocities in first-order phase transitions. In: The journal of high energy physics, 2025, vol. 04, n° 4. doi: 10.1007/JHEP04(2025)101
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Additional URL for this publicationhttps://link.springer.com/10.1007/JHEP04(2025)101
Journal ISSN1029-8479
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