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1. Imaging and Deconvolution
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Imaging Algorithms in CASA
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Imaging Algorithms in CASA
Contents
1. Imaging and Deconvolution
1.1 Imaging
1.1.1 Standard 2D Imaging
1.1.2 Direction-dependent corrections
1.2 Deconvolution
1.2.1 CLEAN
1.2.2 MS-Clean
1.2.3 MSMFS-Clean
1.2.4 MEM
1.2.5 ASP-clean
1.3 Combining imaging, deconvolution and partitioning
1.3.1 Data/Image partitioning
1.3.2 Major and Minor Cycles (Cotton-Schwab)
1.4 Single-Dish + Interferometric Imaging
2. Currently available Imaging and Deconvolution task-options
2.1 General setup and running
2.1.1 Data and Image Partitioning
2.1.2 Controlling number of major/minor cycles
2.1.3 Imaging and Deconvolution options (summary)
2.2 Specific use-cases
2.2.1 Standard Imaging (narrow-field narrow-band)
2.2.2 Wide-Field Imaging (direction-dependent corrections)
2.2.3 Wide-Band Imaging (reconstruct sky brightness and spectrum)
2.3 ARDG work in progress
3. Imager minor-cycle refactoring
3.1 'Clean' refactoring plan for casa-3.5
3.1.1 ImageSkyModelControl Class
3.1.2 Deconvolver class
3.1.3 New clean task-interface
3.2 New Clean task parameters
3.2.1 Data Selection
3.2.2 Image Definition
3.2.3 Iteration Control
3.2.4 Imaging Options
3.2.5 Deconvolution Options
4. Imager Code Documentation
4.1 Imager Class Diagrams
5. CASA Imager Memory Footprint
5.1 Symbols Used
5.2 Gridding/De-gridding
5.2.1 Imaging
5.3 Single Pointing non-MS non-MS-MFS Clean
5.4 Single Pointing MS Clean
5.5 Single Pointing MS-MFS Clean
5.6 Multiple Pointing Mosaic
R. V. Urvashi 2012-06-08