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).
For the full list of functions and their parameters (gridding variants, kernels, noise estimation, image-plane tapers), consult the API reference.
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).