bilby_pipe

bilby_pipe is a python3 tool for automating the process of running bilby for gravitational-wave parameter estimation on computing clusters.

Contents:

• Installation
  • Installing bilby_pipe from release
  • Install bilby_pipe for development
    • Python installation
    • Installing bilby_pipe
  • Dependencies
• Using bilby_pipe
  • Basics
  • Running all or part of the job directly
  • Using the slurm batch scheduler
  • Summary webpage
  • bilby_pipe help
    • Positional Arguments
    • Named Arguments
    • Calibration arguments
    • Data generation arguments
    • Detector arguments
    • Injection arguments
    • Job submission arguments
    • Likelihood arguments
    • Output arguments
    • Prior arguments
    • Post processing arguments
    • Sampler arguments
    • Waveform arguments
• Examples
  • Trigger time
  • Running on GPS times
  • Running on injections in Gaussian noise
  • Running on GraceDB events
    • Using GraceDB ID vs GraceDB event file
    • Selecting GraceDB-url
    • Output methods
• The ini file
• Injections
  • Injection files
  • Generating injection files
  • General tips
    • No injection file
    • Interaction with n-simulation
    • Interaction with gps-times or gps-tuple
    • Specifying a subset of injections
    • Specifying the injection waveform
    • XML files
• Customising data analysis
• Importance sampling (reweighting) an analysis
  • Reweighting nested samples
  • Example
• Code overview
  • User interface
  • Python Modules
  • Workflow
  • Code Format
  • Submodules API
    • Main
    • Data Generation
    • Data Analysis
    • Creating an injection set
    • GraceDB
    • Utils
• The Open Science Grid and IGWN-grid
• API Reference
  • bilby_pipe
    • Submodules
    • Attributes
    • Package Contents