Skip to main content

visualization toolkit and apps for casa

Project description

This is a beta-release quality package. This package relies on the CASA data processing system for radio telescopes as the processing backend while providing control and visualization using Bokeh.

Introduction

These tools are primarily based on Bokeh. The GUIs use Python and CASA to provide image access while a generated JavaScript interface provides a control front-end.

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.

Usage

This example provide a summary of how to use interactive clean from Python:

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' )

For this sample, the test measurement set is available, while the outlierfile would look something like:

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cubevis-1.0.44.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cubevis-1.0.44-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file cubevis-1.0.44.tar.gz.

File metadata

  • Download URL: cubevis-1.0.44.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cubevis-1.0.44.tar.gz
Algorithm Hash digest
SHA256 8aef5af4377c4a6b7c17f17acb5dd4d67e0de1e7a697c0d536edb152f6b654f2
MD5 27d69653d000c86e6450ba0b3d61b6ad
BLAKE2b-256 d3f2119c09caa206004d810dc4083152ddd988e4ca0de92c2ee36683510279d2

See more details on using hashes here.

Provenance

The following attestation bundles were made for cubevis-1.0.44.tar.gz:

Publisher: publish.yml on casangi/cubevis

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cubevis-1.0.44-py3-none-any.whl.

File metadata

  • Download URL: cubevis-1.0.44-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cubevis-1.0.44-py3-none-any.whl
Algorithm Hash digest
SHA256 df44ed86377e8aa4d3c143841034af11c4850d0b45b21ea3ca3271e9fb58d439
MD5 61d8906fb842c4559ca2c0906e6cb8e8
BLAKE2b-256 e0935495df461fc45b1f9ff016e7d38f040e6df8ce3ee6dbd3b60b49be9e3749

See more details on using hashes here.

Provenance

The following attestation bundles were made for cubevis-1.0.44-py3-none-any.whl:

Publisher: publish.yml on casangi/cubevis

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page