An optimisation based algorithm for finding the nucleation temperature of cosmological phase transitions
From MaRDI portal
Publication:6159604
DOI10.1016/j.cpc.2021.108252arXiv2103.01985OpenAlexW3217034304MaRDI QIDQ6159604
Publication date: 20 June 2023
Published in: Computer Physics Communications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.01985
Related Items (2)
\texttt{BubbleDet}: a Python package to compute functional determinants for bubble nucleation ⋮ Computing the gauge-invariant bubble nucleation rate in finite temperature effective field theory
Cites Work
- Direct trajectory optimization and costate estimation of finite-horizon and infinite-horizon optimal control problems using a Radau pseudospectral method
- Adaptive mesh refinement method for optimal control using nonsmoothness detection and mesh size reduction
- CasADi: a software framework for nonlinear optimization and optimal control
- On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
- Tunneling in theories with many fields
- BubbleProfiler: finding the field profile and action for cosmological phase transitions
- Uniqueness of a negative mode about a bounce solution
- Efficient numerical solution to vacuum decay with many fields
- A fresh look at the calculation of tunneling actions in multi-field potentials
- \texttt{FindBounce}: package for multi-field bounce actions
- \texttt{SimpleBounce}: a simple package for the false vacuum decay
This page was built for publication: An optimisation based algorithm for finding the nucleation temperature of cosmological phase transitions