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Imaging and deconvolution pipeline

       1 sic copy gag_demo:demo.uvt 1mm.uvt
       2 let name 1mm
       3 go uvcov 
       4 go uvall
       5 input uvall
       6 let xtype weight
       7 go uvall
       8 go image
       9 let type beam
      10 go bit
      11 let type lmv
      12 go bit
      13 let type lmv-res
      14 go bit
      15 let type lmv-clean
      16 go bit
      17 exit
Comments:
Step 1
Copy a demonstration $uv$ table in the GILDAS distribution in the current directory.
Steps 2-7
Visualization of different aspects of $uv$ data directly from the file. Step 3 shows the $uv$ coverage. Step 4 displays the scatter plots of the amplitude vs spatial frequency of the $uv$ visibilities (default of the GO UVALL procedure). Step 5 displays the value of the parameters which modify the behavior of the GO UVALL procedure. Steps 6 and 7 display the scatter plots of the amplitude vs weight of the $uv$ visibilities.
Step 8
Imaging and deconvolution pipeline with visualization of the deconvolved image using default parameters. The result is clearly not optimal in this case (see next section). All the results are directly written as files on disk with the following file name conventions: dirty beam: 1mm.beam, dirty image: 1mm.lmv, clean image: 1mm.lmv-clean, clean residuals: 1mm.lmv-res.
Step 9-14
Successive visualization of the dirty beam (steps 9 and 10), dirty image (steps 11 and 12), clean residuals (steps 13 and 14) and clean image (steps 15 and 16).


next up previous contents index
Next: Finely tuned imaging and Up: Cookbook for the impatient Previous: Cookbook for the impatient   Contents   Index
Gildas manager 2018-09-24