gwpopulation
colmtalbot.github.io
Spec sheet
- Purpose
- GWPopulation is a Python package for gravitational-wave population inference with the gravitational-wave transient catalogue.Read 12 Oct 2026 · colmtalbot.github.io
- Intended users
- The project suggests users running on high-performance computing clusters may be interested in its associated gwpopulation_pipe pipeline.Read 12 Oct 2026 · colmtalbot.github.io
- Deployment
- desktopRead 23 Sep 2026 · colmtalbot.github.io
- Free plan
- YesRead 23 Sep 2026 · colmtalbot.github.io
- Support
- The project directs users to its GitHub Issues page and says to open an issue to request support for another backend.Read 12 Oct 2026 · github.com
- License
- The GitHub repository identifies the project as MIT licensed.Read 12 Oct 2026 · github.com
- Array backends
- The package provides a unified interface for NumPy, CuPy, and JAX backends.Read 12 Oct 2026 · colmtalbot.github.io
- Backends
- The package supports numpy, cupy, and jax backends through a unified numpy/scipy-like interface.Read 12 Oct 2026 · colmtalbot.github.io
- Bayesian analysis
- YesRead 23 Sep 2026 · colmtalbot.github.io
- Computational limit
- The documentation says the computational cost of the GridVT approach scales exponentially with the number of parameters.Read 12 Oct 2026 · colmtalbot.github.io
- Cosmology
- The user guide lists spectral-siren cosmological inference with flat wCDM models.Read 12 Oct 2026 · colmtalbot.github.io
- GPU caveat
- The installation guide warns that the unreleased main branch is more likely to contain bugs than released versions, especially when using GPUs.Read 12 Oct 2026 · colmtalbot.github.io
- GPU support
- The project describes GPU acceleration through JAX and CuPy.Read 12 Oct 2026 · colmtalbot.github.io
- HPC use
- The project points users running on high-performance computing clusters to the associated gwpopulation_pipe pipeline code.Read 12 Oct 2026 · colmtalbot.github.io
- Installation
- The installation guide gives Conda and pip installation commands and supports Python 3.10–3.13.Read 12 Oct 2026 · colmtalbot.github.io
- Integration
- It integrates with Bilby and documents backend propagation to downstream packages through entry points.Read 12 Oct 2026 · colmtalbot.github.io
- Likelihoods
- It provides commonly used population likelihood functions in the Bilby framework.Read 12 Oct 2026 · colmtalbot.github.io
- Models
- It includes population models for gravitational-wave sources and supports user-defined models that extend Bilby hypermodel syntax.Read 12 Oct 2026 · colmtalbot.github.io
- Population models
- It includes population models for gravitational-wave sources and supports defining new models using an extension of Bilby hyper-model syntax.Read 12 Oct 2026 · colmtalbot.github.io
- Research citation
- The project asks research users to cite Talbot et al. (2025).Read 12 Oct 2026 · colmtalbot.github.io
- Scripting support
- YesRead 23 Sep 2026 · colmtalbot.github.io
- Selection functions
- It includes selection functions for gravitational-wave sources, with ResamplingVT and GridVT implementations for estimating detection probability.Read 12 Oct 2026 · colmtalbot.github.io
Where Specifiction places it
- Statistical Analysis Software#97 of 1067.0