glworia
A python package for gravitational-wave lensing computations including wave-optics effects.
Key Features
- Compute the frequency-dependent lensing amplification factor
- Use your custom lens model, any spherically symmetry lens is supported
- The only function you need to provide is the Fermat potential -
jaxwill take care of the rest with auto differentiation! - Build interpolation tables for your lens model
- Perform Bayesian parameter estimation with
bilby - Runs on GPUs
Installation
pip install glworia
Usage
Checkout the 'Tutorial' section on the documentation website.
Parameter estimation results
The full corner plots for the parameter estimation runs shown in the companion paper can be found in the plots/ directory.
How to Cite
Please cite the methods paper if you used our package to produce results in your publication. Here is the BibTeX entry:
Coming soon!
License
MIT
GitHub @mhycheung
Metadata
Release files for glworia 0.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| glworia-0.0.0.tar.gz | 28.9 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| glworia-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.9 MB
Release files / glworia-0.0.0.tar.gz
| Download URL | glworia-0.0.0.tar.gz |
|---|---|
| Size | 28.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / glworia-0.0.0-py3-none-any.whl
| Download URL | glworia-0.0.0-py3-none-any.whl |
|---|---|
| Size | 32.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/5.0.0 CPython/3.11.8
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