WallGo
Home: https://wallgo.readthedocs.io
License: GPL3
Summary: A Python package for computing the bubble wall speed for cosmological phase transitions.
Development: https://github.com/Wall-Go/WallGo
Status
About this project
WallGo is an open source code for the computation of the bubble wall velocity and bubble wall width in first-order cosmological phase transitions. The main WallGo Python package determines the wall velocity and width by solving the scalar field(s) equation of motion, the Boltzmann equations and energy-momentum conservation for the fluid velocity and temperature. The physical and mathematical details are explained in the associated paper.
The WallGo package is accompanied by two subsidiary software packages:
- WallGoCollision performs the higher-dimensional integrals to obtain the collision terms in the Boltzmann equations, and is written in C++. It also has Python bindings so that it can be called directly from Python, but still benefits from the speedup from compiled C++ code.
- WallGoMatrix computes the relevant matrix elements for the out-of-equilibrium particles, and is written in Mathematica. It builds on existing Mathematica packages DRalgo and GroupMath.
Users can implement their own models by specifying an effective potential and a list of out-of-equilibrium particles and their corresponding interactions.
Installation
WallGo can be installed with pip, using:
pip install WallGo
If you have an existing installation, add the flag --upgrade to get the latest (stable) release.
Alternatively, to get the latest (unstable) development version from the repository, run:
git clone git@github.com:Wall-Go/WallGo.git
cd WallGo
pip install -e .
Requirements
WallGo requires Python 3.10 or above.
Quick start
A first example model is explained in the WallGo documentation.
Examples
A number of example models are collected in the repository in the folder Models, including the following:
- Standard Model with light Higgs
- Inert Doublet Model
- Real singlet scalar extension of the Standard Model
- Many scalar extension of the Standard Model
- Yukawa model
After installing the package, these examples can be run directly with Python, as in:
python Models/SingletStandardModel_Z2/singletStandardModelZ2.py
Feedback and further questions
For feedback and frequently asked questions, please see the WallGo homepage.
License
Copyright (c) 2024 Andreas Ekstedt, Oliver Gould, Joonas Hirvonen, Benoit Laurent, Lauri Niemi, Philipp Schicho, and Jorinde van de Vis.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.
Metadata
Release files for WallGo 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wallgo-1.1.2.tar.gz | 940.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wallgo-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / wallgo-1.1.2.tar.gz
| Download URL | wallgo-1.1.2.tar.gz |
|---|---|
| Size | 940.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | wallgo-1.1.2-py3-none-any.whl |
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| Size | 418.8 kB |
| Tags | Python 3 |
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| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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