Making gravitational-wave analysis fun, easy, and reproducible

etive.io hosts asimov and its ecosystem – a collection of tools designed to streamline gravitational-wave astrophysics analysis pipelines.

About asimov

asimov is a framework for managing and orchestrating gravitational-wave parameter estimation analyses. It provides a unified interface to multiple analysis pipelines, making it easier to run reproducible analyses across different codes.

The asimov Ecosystem

Integrations with leading gravitational-wave analysis pipelines

bilby

A Bayesian inference library for gravitational-wave astronomy

PyCBC

Python toolkit for analysis of gravitational-wave data

cogwheel

Efficient likelihood calculations for gravitational-wave signals

LALInference

LIGO Algorithm Library inference package

BayesWave

Bayesian algorithm for detecting and characterizing gravitational-wave signals

asimov-gwdata

Data handling utilities for gravitational-wave analysis

Pipeline Interfaces

asimov provides specialized interfaces to connect with different analysis pipelines:

  • asimov-pycbc: Interface between asimov and PyCBC (GitHub)
  • asimov-cogwheel: Interface between asimov and cogwheel (GitHub)

Explore more packages and tools in the etive-io organization on GitHub.

Why asimov?

Designed to make gravitational-wave analysis accessible and reproducible

Easy to Use

Unified interface across multiple analysis pipelines makes it simple to get started and switch between tools.

Reproducible

Standardized workflows and configuration management ensure your analyses are reproducible and well-documented.

Community-Driven

Open-source and built by researchers, for researchers. Contributions are welcome and encouraged.

Get Started Today

Ready to streamline your gravitational-wave analysis workflow?