VisCube#
Welcome to the documentation pages for VisCube!#
VisCube is a visibility-space gridder for radio interferometry datasets. It has several powerful features:
Can handle both single-channel/continuum and multi-frequency/spectral cube datasets
Statistically robust uncertainty estimation in the UV plane (for details, see here).
Built natively in Python using numpy
To learn how to use VisCube, I suggest following the documentation in the following order:
Run the “Beginner’s Guide” on your local machine to get acquainted with VisCube’s functionality and make sure your installation is functional
Read through the “How-to Guide: Extracting data from Measurement Sets” to learn how to prepare your own measurement sets for VisCube
Once you have learnt one of the methods taught in the “extraction How-to Guides”, you can run the code from the Beginner’s guide on your own data (with modifications as needed).
This project is a spinoff of a continuum-only gridder I worked on with Noé Dia and Alexandre Adam; that gridder has been released as part of the IRIS interferometric imaging pipeline.
The name VisCube is a nod to VisRead, a package documenting how to load data from Measurement Sets into memory. The CASA-based I/O procedures described in this documentation (see here) build on the VisRead tutorials, to which I owe a large chunk of my CASA knowledge.
WARNING: DOCUMENTATION AND SOURCE CODE UNDER CONSTRUCTION. Docs are incomplete and breaking changes to the API may still occur (albeit rarely).