Software & data
GLoW
Wave-optics lensing of gravitational waves: the amplification factor for a general matter distribution, fast enough to use inside parameter estimation.
Code purpose
GLoW computes the amplification factor for gravitational waves propagating through a gravitational lens, in the wave-optics regime where diffraction and interference matter. It handles general matter distributions (built from a library of lenses that can be added freely) by combining contour-integration and time-domain methods with careful treatment of the singular Fermat potential. GLoW is fast enough for Bayesian parameter inference and to train models for simulation-based inference.
- Language
- Python, with the numerical core in C behind a Cython wrapper
- Licence
- GPL-3.0
- Contributors
- Héctor Villarrubia-Rojo (lead developer), Stefano Savastano, Lyla Choi, Srashti Goyal, Liang Dai, Giovanni Tambalo, Miguel Zumalacárregui.
The physics GLoW computes is described on the wave optics and microlensing pages.
Get it
- Repository
- github.com/glow-astro/GLoW
- Documentation
- glow-astro.github.io/GLoW/
- Install
- Clone the repository and follow the installation page in the documentation
Citing GLoW
Work that uses GLoW should cite the method paper, which is what the repository asks for.
Papers using GLoW
15 papers have used GLoW, spanning 2024–2026
Work by the group and by others that has run the code. If your paper is missing, or is listed and should not be, tell us and it will be corrected.
2026
- Signatures of 10-10⁴ M☉ Dark Matter halos in LISA via Stochastic Diffraction
- Wave-optics imprints of dark matter subhalos on strongly lensed gravitational waves. II. Saddle images and detectability
- Effective description of lensed gravitational waves diffracted by stellar fields
- Bayesian Analysis of Gravitational Wave Microlensing Effects from Galactic Double White Dwarfs
- Fast Fourier transform evaluation of the Fresnel integral for gravitational-wave lensing
- Wave-Optics Imprints of Dark Matter Subhalos on Strongly Lensed Gravitational Waves
2025
- Across the Universe: GW231123 as a Magnified and Diffracted Black Hole Merger
- Detection of multiband lensed gravitational waves from dark matter halos with deep learning
- Accelerated inference of microlensed gravitational waves with machine learning
- Dark Matter Subhalos and Higher Order Catastrophes in Gravitational Wave Lensing
- Bayesian Analysis of Wave-optics Gravitationally Lensed Massive Black Hole Binaries with a Space-based Gravitational-wave Detector
- Multiband observation of lensed gravitational waves as a probe of small-mass dark matter halos
- Gravitational wave lensing: probing Fuzzy Dark Matter with LISA
2024
No papers match that search.