Back to Search Start Over

CASA, the Common Astronomy Software Applications for Radio Astronomy

Authors :
null The CASA Team
Ben Bean
Sanjay Bhatnagar
Sandra Castro
Jennifer Donovan Meyer
Bjorn Emonts
Enrique Garcia
Robert Garwood
Kumar Golap
Justo Gonzalez Villalba
Pamela Harris
Yohei Hayashi
Josh Hoskins
Mingyu Hsieh
Preshanth Jagannathan
Wataru Kawasaki
Aard Keimpema
Mark Kettenis
Jorge Lopez
Joshua Marvil
Joseph Masters
Andrew McNichols
David Mehringer
Renaud Miel
George Moellenbrock
Federico Montesino
Takeshi Nakazato
Juergen Ott
Dirk Petry
Martin Pokorny
Ryan Raba
Urvashi Rau
Darrell Schiebel
Neal Schweighart
Srikrishna Sekhar
Kazuhiko Shimada
Des Small
Jan-Willem Steeb
Kanako Sugimoto
Ville Suoranta
Takahiro Tsutsumi
Ilse M. van Bemmel
Marjolein Verkouter
Akeem Wells
Wei Xiong
Arpad Szomoru
Morgan Griffith
Brian Glendenning
Jeff Kern
Publication Year :
2022
Publisher :
arXiv, 2022.

Abstract

CASA, the Common Astronomy Software Applications, is the primary data processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and the Karl G. Jansky Very Large Array (VLA), and is frequently used also for other radio telescopes. The CASA software can handle data from single-dish, aperture-synthesis, and Very Long Baseline Interferometery (VLBI) telescopes. One of its core functionalities is to support the calibration and imaging pipelines for ALMA, VLA, VLA Sky Survey (VLASS), and the Nobeyama 45m telescope. This paper presents a high-level overview of the basic structure of the CASA software, as well as procedures for calibrating and imaging astronomical radio data in CASA. CASA is being developed by an international consortium of scientists and software engineers based at the National Radio Astronomical Observatory (NRAO), the European Southern Observatory (ESO), the National Astronomical Observatory of Japan (NAOJ), and the Joint Institute for VLBI European Research Infrastructure Consortium (JIV-ERIC), under the guidance of NRAO.<br />Comment: Accepted for publication in PASP (20 pages, 4 figures). Joint publication with CASA-VLBI paper

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....04f4d6456293daf72f8048d423da062d
Full Text :
https://doi.org/10.48550/arxiv.2210.02276