CASA, the Common Astronomy Software Applications package, is the primary data processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and NSF's Karl G. Jansky Very Large Array (VLA), and is frequently used also for other radio telescopes. The CASA software can process data from both single-dish and aperture-synthesis telescopes, and one of its core functionalities is to support the data reduction and imaging pipelines for ALMA, VLA and the VLA Sky Survey (VLASS).

Latest CASA Release: 6.2/5.8*

                • CASA 6: inclusion of remaining tasks, including interactive flagdata GUI
                • tclean: refactor of cube imaging (reliability, flexibility, peformance)
                • tclean: new option 'briggsbwtaper' and improved 'briggs' weighting
                • tclean: improved algorithm for fitting the PSF
                • tclean: updates to multiscale imaging to account for channel-dependence of the PSF
                • sdatmcor: new task for atmospheric correction of single dish data
                • sdbaseline: new parameters 'updateweight' and 'sigmavalue'
                • accor: support of the new parameter 'corrdepflags'
                • gencal: GAIN_CURVE subtable (caltype='gc') made available
                • plotms: improvements on avaraging, channel selection, and Mueller/Jones tables
                • simalma: updates to produce the expected output
                • listobs: extended output MS metadata
                • tec_maps: porting of 'tec_maps' script for ionospheric calibration in CASA 6
                • Error handling: consistency among tasks
                • Mars models: updated

                 And much more...   see

* CASA 6.2 (=Python 3) and CASA 5.8 (=Python 2) have the same scientific functionality

CASA is being developed by an international team of scientists based at the National Radio Astronomical Observatory (NRAO), the European Southern Observatory (ESO), and the National Astronomical Observatory of Japan (NAOJ), under the guidance of NRAO.