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Version 1.9 Build 1488 |
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Package | general | |
Module | images | |
Tool | imagepol |
clip | in | Clip level for auto-sigma determination | |
Allowed: | Float | ||
Default: | 10 | ||
sigma | in | Standard deviation of thermal noise | |
Allowed: | Float | ||
Default: | Auto determined | ||
outfile | in | Output image file name | |
Allowed: | String | ||
Default: | Unset |
This function (short-hand name slpi) returns the error (standard deviation) of the linearly polarized intensity; . This result comes from standard propagation of statistical errors. The result is a float as the error is not signal-to-noise ratio dependent
This function requires the standard deviation of the thermal noise. You can either supply it if you know it, or it will be worked out for you with outliers from the mean clipped at the specified level.
- p := imagepol('stokes.cube') - siglpi := p.sigmalinpolint()