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-1.0.17.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-1.0.17-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file cubevis-1.0.17.tar.gz.

File metadata

  • Download URL: cubevis-1.0.17.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-1.0.17.tar.gz
Algorithm Hash digest
SHA256 d3b3a30c43972473bdab2aea77b4fdfada7a71eddae4e95ac691cbcb201c08e5
MD5 a56920df1936dae0f9ea11b61b2c8041
BLAKE2b-256 fcf0c463b645819b179345bada954b12ea1bbbc970b147adcb43736c84ad9a11

See more details on using hashes here.

Provenance

The following attestation bundles were made for cubevis-1.0.17.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-1.0.17-py3-none-any.whl.

File metadata

  • Download URL: cubevis-1.0.17-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-1.0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 729c3a4ab6c0848af65b473bb4188e90fd164092e1bfb34b556b426f34e9d537
MD5 f1032112b27b32aa29608535d5638b01
BLAKE2b-256 f64029dbb15e27c45d583c7157f317a5e0fd7a5977cd9940541539c5cf96da1c

See more details on using hashes here.

Provenance

The following attestation bundles were made for cubevis-1.0.17-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