Rapthor: LOFAR DDE Pipeline

Rapthor is a tool for producing low-noise, high-resolution images from HBA LOFAR data. It is also being developed for use on SKA-Low data.

Introduction

• Acknowledgements
• Capabilities of Rapthor
• Steps in a Rapthor reduction

Obtaining Rapthor

• Downloading and installing
  • Hardware requirements
  • Installation FAQ
• Changelog
  • Version 2.1 (2025/12/04)
  • Version 2.0 (2025/04/11)
  • Version 1.1 (2023/07/27)
  • Version 1.0 (2023/06/08)
• Issues and feature requests

Setting Up and Running Rapthor

• Data preparation
  • Input measurement sets
  • Sky model
• The Rapthor parset
  • [global]
  • [calibration]
  • [imaging]
  • [cluster]
• Setting the processing strategy
  • Defining a custom processing strategy
• Running Rapthor
  • Starting a Rapthor run
  • Using a (u)Docker/Singularity image
  • Troubleshooting a run
  • Resuming an interrupted run
  • Resetting an operation
• Running Rapthor on the SKAO AWS cluster
  • Starting a Rapthor run
  • Known issues
  • Troubleshooting a run
  • Developing rapthor on the SKAO AWS cluster
• Output
• Tips for running Rapthor
• Getting Help

Rapthor Details

• General structure
• Operations
  • Calibrate
  • Predict
  • Image (+ mosaic)
• Python and CWL code
  • Python classes and modules
  • Python processing scripts
  • CWL workflows