RIFT

Rapid inference via Iterative FiTting: this algorithm provides a framework for efficient, highly-parallelized parameter inference for GW sources.

Contents:

• RIFT Overview
  • Basic Workflow
  • Reference Papers
• Installation
  • Basic Installation from release
    • Creating an environment
    • Installing RIFT
  • Install RIFT for development
    • Environment Variables
  • Dependencies
• Using the pipeline
  • Basics
  • Understanding ILE and CIP
    • ILE.sub
    • CIP.sub
  • Initialization: PSDs and grids
  • Strongly recommended dependencies
  • util_RIFT_pseudo_pipe.py help
• RIFT pipeline examples: the ini file
  • Using an ini file for fake data
  • Using an ini file for a production analysis
• RIFT pipeline examples: command-line
• Getting data for RIFT
• Using the OSG
• Signal Injections
  • pp_RIFT
  • Workflow
  • The .ini File
• Plotting with RIFT
  • Corner Plots
  • P-P Plots
• HyperPipe
  • Basics
  • Create a Run Directory
    • Input Files
    • Directory Structure
  • Understanding the Stages
    • MARG.sub
    • MARG_PUFF.sub
    • CON.sub and CON_PROD.sub
    • UNIFY.sub
    • EOS_POST.sub
    • PUFF.sub
  • Submitting Workflow
  • Multiple Constraints
  • For RIFT Users
• General Troubleshooting
  • Diagnosing typical errors
  • Getting Help