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-1.0.62.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-1.0.62-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file cubevis-1.0.62.tar.gz.

File metadata

  • Download URL: cubevis-1.0.62.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-1.0.62.tar.gz
Algorithm Hash digest
SHA256 41d4a08f7d978124070452f182ff17acfc7ffb5199af2b07767d2834cea86ce8
MD5 9f6fca143683af3f18a23469642701eb
BLAKE2b-256 209a6ad9feb14a7125e51d1070d9026387bf59bc8fce5270fec7b312a68b43dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for cubevis-1.0.62.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-1.0.62-py3-none-any.whl.

File metadata

  • Download URL: cubevis-1.0.62-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-1.0.62-py3-none-any.whl
Algorithm Hash digest
SHA256 f9698e4a9fbfaeaca035d357ddb41abc5d4ca30e96a5d018ed1cc50ac59ed9c8
MD5 28afb2e93d990cd02a31eebedebe290b
BLAKE2b-256 db152e85026dc87f9a1269e7250c01a5df999149fb354cf35a6554c99f218a71

See more details on using hashes here.

Provenance

The following attestation bundles were made for cubevis-1.0.62-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