immoments¶

immoments
(imagename, moments=[0], axis='spectral', region='', box='', chans='', stokes='', mask='', includepix= 1, excludepix= 1, outfile='', stretch=False)[source]¶ Compute moments from an image
[Description] [Examples] [Development] [Details]
 Parameters
imagename (path)  Name of the input image
moments (intVec=[0])  List of moments you would like to compute
axis ({string, int}=’spectral’)  The momement axis: ra, dec, lat, long, spectral, or stokes
region ({string, stringVec}=’’)  Region selection. Default is to use the full image.
box (string=’’)  Rectangular region(s) to select in direction plane. Default is to use the entire direction plane.
chans (string=’’)  Channels to use. Default is to use all channels.
stokes (string=’’)  Stokes planes to use. Default is to use all Stokes planes.
mask (variant=’’)  Mask to use. Default is none.
mask != ''
stretch (bool=False)  Stretch the mask if necessary and possible?
includepix ({int, doubleVec, intVec}=1)  Range of pixel values to include
excludepix ({int, doubleVec, intVec}=1)  Range of pixel values to exclude
outfile (string=’’)  Output image file name (or root for multiple moments)
 Description
The spectral moment distributions at each pixel are determined. The main control of the calculation is given by the parameter moments:
moments = 1  mean value of the spectrum
moments = 0  integrated value of the spectrum
moments = 1  intensity weighted coordinate; traditionally used to get “velocity fields”
moments = 2  intensity weighted dispersion of the coordinate; traditionally used to get “velocity dispersion”
moments = 3  median value of the spectrum
moments = 4  median coordinate
moments = 5  standard deviation about the mean of the spectrum
moments = 6  root mean square of the spectrum
moments = 7  absolute mean deviation of the spectrum
moments = 8  maximum value of the spectrum
moments = 9  coordinate of the maximum value of the spectrum
moments = 10  minimum value of the spectrum
moments = 11  coordinate of the minimum value of the spectrum
The default value of outfile is the input image name appended by an autodetermined suffix.
If stretch=True and if the number of mask dimensions is less than or equal to the number of image dimensions and some axes in the mask are degenerate while the corresponding axes in the image are not, the mask will be stetched in the degenerate axis dimensions. For example, if the input image has shape [100, 200, 10] and the input mask has shape [100, 200, 1] and stretch=True, the mask will be stretched along the third dimension to shape [100, 200, 10]. However if the mask is shape [100, 200, 2], stretching is not possible and an error will result.
If an image has multiple perchannel beams and the moment axis is equal to the spectral axis, each channel will be convolved with a beam that has a minimum area necessary to contain each of the image beams, ie, it is the minimum area common beam to which all the beams in the image can be convolved.
Taskspecific parameter summary
moments
List of moments to compute. See above for details.
axis
Axis along which to compute the specified moments.
includepix
Range of pixel values to include in the computation. A range can only be given for one of includepix or excludepix.
excludepix
Range of pixel values to exclude in the computation. A range can only be given for one of includepix or excludepix.
 Examples
Example for creating the “moment 1” map, a map of the intensityweighted mean spectral axis value, which is often used for finding velocity fields:
immoments(axis='spec', imagename='myimage', moments=[1], outfile='velocityfields')
Example for finding the spectral mean, 1 moment, on a specified region of the image as defined by the box and stokes parameters:
taskname='immoments' default() imagename = 'myimage' moments = [1] axis = 'spec' stokes = 'I' box = '55,12,97,32' go
Example using a box
immoments('clean.image', axis='spec', box="40,40,120,120", outfile='mom_withmask.im')
Example using a CRTF elliptical region with specified axis lengths and a position angle of 30 degrees.
immoments('clean.image', axis='spec', region="ellipse[[00:00:13.47460, +000.02.20.3571], [10arcsec,15arcsec], 30deg]", outfile='mom_withmask.im')
Example using a mask created with a second file to select the data used to calculate the 0moment, integrated values. In this case, the mask is from the calibrated.im file and all values that have a value greater than 0.5 will be positive in the mask:
immoments('clean.image', axis='spec', mask='"calibrated.im">0.5', outfile='mom_withmask.im')
 Development
No additional development details
 Parameter Details
Detailed descriptions of each function parameter
imagename (path)
 Name of the input imagemoments (intVec=[0])
 List of moments you would like to computeaxis ({string, int}='spectral')
 The momement axis: ra, dec, lat, long, spectral, or stokesregion ({string, stringVec}='')
 Region selection. Default is to use the full image.box (string='')
 Rectangular region(s) to select in direction plane. Default is to use the entire direction plane.chans (string='')
 Channels to use. Default is to use all channels.stokes (string='')
 Stokes planes to use. Default is to use all Stokes planes.mask (variant='')
 Mask to use. Default is none.includepix ({int, doubleVec, intVec}=1)
 Range of pixel values to includeexcludepix ({int, doubleVec, intVec}=1)
 Range of pixel values to excludeoutfile (string='')
 Output image file name (or root for multiple moments)stretch (bool=False)
 Stretch the mask if necessary and possible?