gwmock-noise documentation¶
The sections below mirror the repository README for the home page. Use the navigation sidebar to browse:
- Minimal Usage — copy-paste snippets for every common task (no background required).
- Advanced — detailed configuration, simulator internals, custom protocols, and GWOSC integration.
- API Reference — generated from docstrings.
- Development — code quality, testing, troubleshooting, and contributor guides for extending the simulator package.
gwmock-noise¶
A Python package for simulating gravitational-wave detector instrumental noise (colored and correlated models, lines, glitches, optional Schumann-resonance coupling, and CLI-driven batch runs).
Documentation¶
Published docs (user guide and API reference):
https://leuven-gravity-institute.github.io/gwmock-noise/
To build and preview locally (requires the docs dependency group):
uv sync --group docs
uv run zensical serve
Then open http://127.0.0.1:8000.
Quick start¶
Install¶
uv venv --python 3.12
source .venv/bin/activate # Windows: .venv\Scripts\activate
uv pip install gwmock-noise
Optional extras (declared in pyproject.toml):
gwmock-noise[gwpy]— GWpy-based helpers (for exampleGWpyAdapter)gwmock-noise[frame]— GWF frame output (FrameWriter/ GWpy GWF stack)gwmock-noise[gengli]— gengli-backed blip glitches (GengliBlipGlitch)
CLI¶
Create a TOML (or YAML/JSON) config and run:
gwmock-noise simulate examples/noise_config_example.toml
To turn a GravitySpy CSV export into a gengli population file:
gwmock-noise build-blip-glitch-table --gravity-spy-csv gravity_spy.csv --out glitches.h5
See examples/noise_config_example.toml and the noise simulation guide for fields and output layout.
Python API¶
from pathlib import Path
from gwmock_noise import DefaultNoiseSimulator, NoiseConfig, OutputConfig
config = NoiseConfig(
detectors=["H1", "L1"],
duration=4.0,
sampling_frequency=4096.0,
output=OutputConfig(directory=Path("output"), prefix="noise"),
seed=42,
)
result = DefaultNoiseSimulator().run(config)
for detector, path in result.output_paths.items():
print(detector, "->", path)
For PSD/CSD-driven colored noise, spectral lines, glitches, and streaming
behavior, use the same NoiseConfig fields described in the user guide and API
reference. For stateful continuation across chunk boundaries, prefer the public
open_stream(...) helper over reseeding separate runs.
The gengli backend plugs into the same glitches= surface:
from pathlib import Path
from gwmock_noise import (
DefaultNoiseSimulator,
GengliBlipGlitch,
LogNormalAmplitudeDistribution,
NoiseConfig,
OutputConfig,
)
config = NoiseConfig(
detectors=["L1"],
duration=8.0,
psd_file=Path("noise_psd.txt"),
glitches=[
GengliBlipGlitch.from_population_file(
"glitches.h5",
rate=0.25,
psd_file=Path("noise_psd.txt"),
amplitude_distribution=LogNormalAmplitudeDistribution(mean=1.0, std=0.0),
)
],
output=OutputConfig(directory=Path("output"), prefix="gengli"),
)
DefaultNoiseSimulator().run(config)
NoiseConfig.psd_file also accepts bundled Einstein Telescope preset names, so
you can use psd_file="ET_10_full_cryo_psd" without managing the PSD file
yourself. Available presets are ET_D_psd, ET_10_HF_psd,
ET_10_full_cryo_psd, ET_15_HF_psd, ET_15_full_cryo_psd, ET_20_HF_psd,
and ET_20_full_cryo_psd. Local paths and HTTP(S) URLs remain supported too
(for remote sources, use .txt or .csv).
Installation¶
We recommend using uv to manage virtual environments for installing
gwmock-noise.
If you don't have uv installed, you can install it with pip. See the project
pages for more details:
- Install via pip:
pip install --upgrade pip && pip install uv - Project pages: uv on PyPI | uv on GitHub
- Full documentation and usage guide: uv docs
Requirements¶
- Python 3.12 or higher
- Operating System: Linux, macOS, or Windows
Note: The package is built and tested against Python 3.12–3.14. When
creating a virtual environment with uv, specify the Python version to ensure
compatibility: uv venv --python 3.12 (replace 3.12 with your preferred
version in the 3.12–3.14 range). This avoids potential issues with unsupported
Python versions.
Install from PyPI¶
The recommended way to install gwmock-noise is from PyPI:
# Create a virtual environment (recommended with uv)
uv venv --python 3.12
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install gwmock-noise
Install from Source¶
For the latest development version:
git clone git@github.com:Leuven-Gravity-Institute/gwmock-noise.git
cd gwmock-noise
# Create a virtual environment (recommended with uv)
uv venv --python 3.12
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv sync
Development Installation¶
To set up for development (linting, tests, and docs tooling live in uv
dependency groups, not [project.optional-dependencies]):
git clone git@github.com:Leuven-Gravity-Institute/gwmock-noise.git
cd gwmock-noise
# Create a virtual environment (recommended with uv)
uv venv --python 3.12
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv sync --group dev --group docs
# Install pre-commit hooks
uv run prek install
Verify Installation¶
Check that gwmock-noise is installed correctly:
gwmock-noise --help
python -c "import gwmock_noise; print(gwmock_noise.__version__)"
Contributing¶
Contributions are welcome!
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Submit a pull request
Release Schedule¶
Releases follow a fixed schedule: every Tuesday at 00:00 UTC, unless an emergent bugfix is required. This ensures predictable updates while allowing flexibility for critical issues. Users can view upcoming changes in the draft release on the GitHub Releases page.
Testing¶
Run the test suite:
uv run pytest
License¶
This project is licensed under the 3-Clause BSD License - see the LICENSE file for details.
Support¶
For questions or issues, please open an issue on GitHub or contact the maintainers.