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| Version 1.9 Build 1488 |
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| Package | general | |
| Module | deconvolver | |
| Tool | deconvolver |
a new way of viewing the problem of modeling the underlying, unblurred, noise-free image. The goal of the [new] Pixon method model was to construct the simplest, i.e. smoothest, model for the image that would be consistent with the data, i.e. have an acceptable chi-square fit. Being the simplest model, the derived image would be artifact free, i.e. there would be no spurious sources, since by construction the simplest model eliminates unneeded structures. In addition, the model would necessarily be a "critical" model, i.e. most tightly constrained by the data, and consequently have the most accurately determined parameters.
In the simplest terms, the pixon method smooths a model locally as much as is allowed by the specified noise level. This, like all high performance estimation methods, the pixon approach works best when the noise level is known and well-characterized.
The Pixon algorithm is available via an IDL library courtesy of the Pixon LLC. This means that you must have the library and IDL installed on your computer. The Pixon library is available free of charge for your personal scientific use direct from Pixon LLC. IDL is available commercially from RSI.
| sigma | Noise level to try to achieve | ||
| Allowed: | String | ||
| Default: | '0.001Jy' | ||
| model | Name of image | ||
| Allowed: | String | ||
| imageplane | Is this an image plane problem (like single dish)? | ||
| Allowed: | Bool | ||
| Default: | F | ||
| async | Run asynchronously in the background? | ||
| Allowed: | Bool | ||
| Default: | !dowait | ||