is the official CASA documentation. It explains the mechanics of how CASA works. CASA Docs contains a large number of chapter pages on the use of CASA, as well as detailed explanation of the numerous CASA tasks. In addition, CASA Docs now contains a CASA Memo Series for more in-depth information, as well as a Knowledgebase containing general tips. A new version of CASA Docs is released with every version of CASA.
CASA Docs can be found here. When online, task parameter pages in CASA Docs can also be invoked from within CASA by typing doc('taskname').
CASA Guides are step-by-step data reduction tutorials for the processing of VLA, ALMA, and VLBI data with CASA. In contrast to CASA Docs, which describe how CASA works, the CASA Guides contain calibration and imaging strategies that explain how CASA is best used for processing your data. The CASA Guides explain best-practices to get the most out of your data from the various telescopes, and also contain examples of how to simulate data in CASA.
CASA Guides can be found here. The tutorials in the CASA Guides are updated with most major CASA releases.
A CASA Newsletter is sent out twice a year. These Newsletters give an overview of recent, ongoing, and upcoming CASA developments.
The CASA Newsletters can be found here. If you want to receive the CASA Newsletter by email, please subcribe to casa-news
CARTA is the Cube Analysis and Rendering Tool for Astronomy, a new image visualization and analysis tool designed for the ALMA, the VLA, and the SKA pathfinders. The CARTA software is available for users who wish to try visualizing image products outside the CASA Viewer. See CASA Docs for more information.
CARTA is developed by the Academia Sinica Institute of Astronomy and Astrophysics (ASIAA), the Inter-University Institute for Data Intensive Astronomy (IDIA), the National Radio Astronomy Observatory (NRAO), and the Department of Physics, University of Alberta.
References and Acknowledgement
The CASA Team is preparing a new CASA reference paper (CASA Team et al. in prep). In the meanwhile, we ask users to please cite the following reference when using CASA for publications as acknowledgement:
McMullin, J. P., Waters, B., Schiebel, D., Young, W., & Golap, K. 2007, Astronomical Data Analysis Software and Systems XVI (ASP Conf. Ser. 376), ed. R. A. Shaw, F. Hill, & D. J. Bell (San Francisco, CA: ASP), 127.
Other recent references relevant to CASA include:
Emonts, B., Raba, R., Moellenbrock, G., et al. 2020, "The CASA software for radio astronomy: status update from ADASS 2019", Astronomical Data Analysis Software and Systems XXIX, ASP Conf. Ser., in prep. (arXiv: 1912.09437)
Raba, R., Schiebel, D., Emonts, B., et al. 2020, "CASA 6: Modular Integration in Python", Astronomical Data Analysis Software and Systems XXIX, ASP Conf. Ser., in prep. (arXiv: 1912.09439)
Kepley, A., Tsutsumi. T., Brogan, C., et al. 2020, "Auto-multithresh: A General Purpose Automasking Algorithm", PASA, 132, 02505
Rau, U., Naik, N., Braun, T., 2019, "A Joint Deconvolution Algorithm to Combine Single-dish and Interferometer Data for Wideband Multiterm and Mosaic Imaging", AJ, 158, 3
Rau, U., Bhatnagar, S., Owen, F. N., 2016, "Deep Wideband Single Pointings and Mosaics in Radio Interferometry", AJ, 152, 124
An overview of CASA outreach materials presented at recent meetings and conferences can be found here