asimov-bayeswave

BayesWave pipeline integration for power spectral density estimation

Maintainer: LIGO Scientific Collaboration • Stable • ✓ Verified

asimov-bayeswave

Integration between Asimov and BayesWave for on-source power spectral density (PSD) estimation.

Features

  • Robust on-source PSD estimation using transient Bayesian inference
  • Glitch characterization to identify non-Gaussian noise
  • Pre-processing for parameter estimation pipelines
  • Automatic integration with Asimov workflows

Installation

pip install asimov-bayeswave

Purpose

BayesWave analyzes the noise characteristics of the gravitational wave detectors around the time of a signal. This PSD estimate is then used by parameter estimation pipelines like Bilby to properly account for the detector noise properties.

Documentation

Status

Stable - Part of production LIGO/Virgo analysis workflows

Use Cases

  • On-source PSD estimation for parameter estimation
  • Noise characterization during gravitational wave events
  • Pre-processing stage in multi-pipeline analyses