Installation

cubevis uses optional extras so that installing it doesn’t pull in more than a given application needs. The extras you want depend on which application you’re using:

# Interactive Clean (released)
pip install cubevis[iclean]

# Visibility Plotter (in development - no stable API yet)
pip install cubevis[visplot]

# add Jupyter/anywidget support for either, if working in a notebook
pip install cubevis[iclean,notebook]

iclean depends on CASA6’s casatasks. visplot depends on xarray-ms / arcae for both its MSv2 and MSv4 backends, so it does not require casatasks even when working with legacy Measurement Sets.

iclean and visplot are convenience aliases for the underlying casa6 and xarray extras, respectively; those backend-named extras are also available directly for anyone assembling a custom environment. Installing casa6 and xarray together in the same plain pip environment is not currently supported, since the two backends can require mutually incompatible native library versions (notably libprotobuf) that pip has no mechanism to reconcile - use a pixi or conda environment for combined installs.

Interactive Clean

Interactive clean is the primary application provided by this package. It allows for visualizally observing and controlling the image reconstruction performed by CASA. The primary CASA tasks used to perform the image reconstruction are tclean and deconvolve.

from cubevis import iclean

iclean( vis='refim_twopoints_twochan.ms', imagename='test',
        imsize=100, cell='8.0arcsec',
        phasecenter="J2000 19:59:28.500 +40.44.01.50",
        outlierfile='test_outlier.txt',
        niter=50, cycleniter=10, deconvolver='hogbom',
        specmode='mfs', spw='0:0' )

imagename=try_multifield_1
imsize=[80,80]
cell=[8.0arcsec,8.0arcsec]
phasecenter=J2000 19:58:41.095 +40.56.01.043

Visibility Plotter

visplot is under active development and does not yet have a stable end-user API - it isn’t ready for general use, and this README will be updated with usage instructions once one is available.