Next: Comparison and practical advices
Up: Implementation and typical use
Previous: Implementation
Contents
Index
1 read beam demo
2 read dirty demo
3 input clean
4 hogbom /flux 0 1
5 show residual
6 show clean
7 write clean demo
8 let name demo
9 go noise
10 let ares 0.5*noise
11 input clean
12 hogbom /flux 0 1
13 let niter 2000
14 input clean
15 hogbom /flux 0 1
16 show residual
17 show clean
18 for iplane 1 to 10
19 show clean iplane
20 support
21 hogbom iplane /flux 0 1
22 write support "demo-"'iplane'
23 next iplane
24 show residual
25 show clean
26 write residual demo
27 write clean demo
28 write cct demo
29 let name demo
30 let type lmv-clean
31 go cct
32 go view
Comments:
- Steps 1-2
- Read dirty beam and dirty image from the
demo.beam and demo.lmv files. Those steps are not
needed if the dirty beam and image are already stored in the internal
buffer, i.e. if you have imaged the
table just before in the same
MAPPING session.
- Steps 3-6
- Print the current state of the control parameters,
deconvolve the dirty image using the HOGBOM algorithm (step 3) and
look at the results (residual and clean images). The /flux 0 1
option pop-up the visualization of the cumulative flux deconvolved as the
clean components are found.
- Steps 8-12
- Estimate the empirical noise through the GO NOISE
command after this first deconvolution and set the ares stopping
criterion accordingly. Check that the new value of ares has been
correctly set (step 11) and restart deconvolution.
- Steps 13-17
- Increase the number of clean components as the previous
deconvolution stopped before that the residual image reached the
ares value. Restart deconvolution and look at results.
- Steps 18-25
- Tries to improve deconvolution by definition of a
support per plane and deconvolve this plane accordingly. The support is
store in a file for memory. The deconvolution results are then displayed.
- Steps 26-28
- Write residual image, clean image and clean component
list in demo.lmv-res, demo.lmv-clean and
demo.cct files for memory.
- Steps 29-32
- Visualize the cumulative flux as a function of the clean
component number and visualize the clean spectra cube in an interactive
way.
Typical deconvolution session using other CLEAN algorithm would look
very similar. The main difference would be the possible tuning of other
control parameters. A deconvolution session using MX would start
differently as the imaging and deconvolution are done in the same step:
1 read uv demo
2 input uv_map
3 input clean
4 mx /flux 0 1
5 show residual
6 show clean
7 write beam demo
8 write dirty demo
9 write clean demo
10 write residual demo
11 write cct demo
Comments:
- Step 1
- Read the demo.uvt
table in an internal buffer.
- Steps 2 and 3
- Check current state of the variables that control the
imaging and deconvolution.
- Steps 4-6
- Deconvolve and look at the results.
- Steps 7-11
- Write all the internal buffers for memory.
All the tuning of the typical imaging and deconvolution sessions could be
fitted in this MX session although they are not repeated here.
Next: Comparison and practical advices
Up: Implementation and typical use
Previous: Implementation
Contents
Index
Gildas manager
2014-07-01