Welcome to Karabo-Pipeline’s documentation!

Karabo is a starting point for the Square Kilometer Array Digital Twin Pipeline, which is written in Python and set up in an interactive Jupyter Notebook environment.

Users

• Installation (User)
  • System Requirements
  • Install Karabo
  • Dealing with the error ‘OSKAR library not found’
  • Update to latest Karabo version
  • Older versions of Karabo
  • Additional notes and troubleshooting
• Containers
  • Docker Images
  • Launch a Docker Container
  • Singularity Containers
  • Sarus Containers
• Examples
  • Running a general interferometer simulation
  • Imaging
  • Source detection
  • SRCNet
  • Performing a line emission simulation, using both OSKAR and RASCIL
  • Show telescope config
  • Notes on the OSKAR Telescope data conventions
• Parallel processing with Karabo
  • Points to Consider When Using parallelize_with_dask and Dask in General
  • Parameters
  • Returns
  • Additional Notes
  • Function Signature
  • Use Karabo on a SLURM cluster
  • Dask Dashboard

Main Modules

Simulation

• karabo.simulation
  • SkyModel
  • BeamPattern
  • Observation
  • ObservationLong
  • Telescope
  • InterferometerSimulation

Source Detection

• karabo.sourcedetection
  • SourceDetectionEvaluation
  • SourceDetectionResult

Modules

Modules

• Karabo-Pipeline

Development

Developers

• Development Documentation
  • Setup local dev environment
  • Formatting
  • Add Data Sets by Uploading to CSCS
  • Update Documentation
  • Update Tests
  • Create a Release