asimov-cogwheel

Integration between Asimov and Cogwheel for fast parameter estimation using relative binning.

Features

• Efficient relative binning approach reduces memory usage significantly
• Fast likelihood evaluation compared to traditional methods
• Modern waveform models supported including IMRPhenomXPHM
• Scalable to large-scale catalogue studies

Installation

pip install asimov-cogwheel

Quick Start

Use cogwheel analysis templates in your asimov project:

asimov gw events add GW150914_095045 --analyses cogwheel-default

Documentation

• Cogwheel GitHub Repository
• Relative Binning Paper

Status

Stable - Production-ready for parameter estimation workflows

Use Cases

• Fast parameter estimation when computational efficiency is important
• Large-scale catalogue analyses
• Parameter studies with many events
• Comparison with other waveform approximants