gwpopulation
The facts below are what the maker publishes about gwpopulation, checked and dated. Our editors have not written about it yet.
The facts
Each one read from gwpopulation's own pages, with the date it was checked.
What it does
- Array backends
- The package provides a unified interface for NumPy, CuPy, and JAX backends.checked 12 Oct 2026
- Backends
- The package supports numpy, cupy, and jax backends through a unified numpy/scipy-like interface.checked 12 Oct 2026
- Bayesian analysis
- Yeschecked 23 Sep 2026
- Computational limit
- The documentation says the computational cost of the GridVT approach scales exponentially with the number of parameters.checked 12 Oct 2026
- Cosmology
- The user guide lists spectral-siren cosmological inference with flat wCDM models.checked 12 Oct 2026
- Deployment
- desktopchecked 23 Sep 2026
- GPU caveat
- The installation guide warns that the unreleased main branch is more likely to contain bugs than released versions, especially when using GPUs.checked 12 Oct 2026
- GPU support
- The project describes GPU acceleration through JAX and CuPy.checked 12 Oct 2026
- HPC use
- The project points users running on high-performance computing clusters to the associated gwpopulation_pipe pipeline code.checked 12 Oct 2026
- Installation
- The installation guide gives Conda and pip installation commands and supports Python 3.10–3.13.checked 12 Oct 2026
- Integration
- It integrates with Bilby and documents backend propagation to downstream packages through entry points.checked 12 Oct 2026
- Intended users
- The project suggests users running on high-performance computing clusters may be interested in its associated gwpopulation_pipe pipeline.checked 12 Oct 2026
- License
- The GitHub repository identifies the project as MIT licensed.checked 12 Oct 2026
- Likelihoods
- It provides commonly used population likelihood functions in the Bilby framework.checked 12 Oct 2026
- Models
- It includes population models for gravitational-wave sources and supports user-defined models that extend Bilby hypermodel syntax.checked 12 Oct 2026
- Population models
- It includes population models for gravitational-wave sources and supports defining new models using an extension of Bilby hyper-model syntax.checked 12 Oct 2026
- Purpose
- GWPopulation is a Python package for gravitational-wave population inference with the gravitational-wave transient catalogue.checked 12 Oct 2026
- Research citation
- The project asks research users to cite Talbot et al. (2025).checked 12 Oct 2026
- Scripting support
- Yeschecked 23 Sep 2026
- Selection functions
- It includes selection functions for gravitational-wave sources, with ResamplingVT and GridVT implementations for estimating detection probability.checked 12 Oct 2026
- Support
- The project directs users to its GitHub Issues page and says to open an issue to request support for another backend.checked 12 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
