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imagepol.sigmalinpolint - Function
1.1.4 Error in linearly polarized intensity
Description
This function 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.
Arguments
Inputs |
| ||
clip |
| Clip level for auto-sigma determination
| |
| allowed: | double | |
| Default: | 10.0 |
|
sigma |
| Standard deviation of thermal noise. Default is auto
determined.
| |
| allowed: | double |
|
| Default: | -1 |
|
outfile |
| Output image file name. Default is unset.
| |
| allowed: | string |
|
| Default: |
|
|
double
Example
"""
#
print "\t----\t sigmalinpolint Ex 1 \t----"
po.open(’stokes.image’)
siglpi = po.sigmalinpolint()
print "siglpi=", siglpi
#
"""
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Copyright © 2016 Associated Universities Inc., Washington, D.C.
This code is available under the terms of the GNU General Public Lincense
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