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This page documents the gjincBeam function of the Python module analysisUtils.
This function calls the gjinc class to compute the effective restoring beam obtained from the casa command sd_imaging when using the GJINC gridding kernel assuming the GJINC specific parameters are left at their default values. It returns the value in arc seconds.
au.gjincBeam(frequency, pixelsize=10, diameter=12.0, samplingFactor=2.5)
frequency: floating point number in GHz (no units) pixelsize: floating point number in arcseconds (no units) diameter: the diameter of the single dish antenna in meters (no units) xSamplesPerBeam: the number of sampled points per telescope FWHM beam along the X axis ySamplesPerBeam: the number of sampled points per telescope FWHM beam along the Y axis xSamplingArcsec: if not None, then use this value instead of xSamplesPerBeam ySamplingArcsec: if not None, then use this value instead of ySamplesPerBeam
CASA <3>: au.gjincBeam(115.27) Theoretical primary beam FWHP = 52.3039 arcsec Sampled every 10.4608 arcsec (5.000000 points per beam) Expected effective restoring beam = 54.2091 arcsec Out: 54.209121599085897 CASA <5>: au.gjincBeam(115.27, xSamplingArcsec=10, ySamplingArcsec=15) Theoretical primary beam FWHP = 52.3039 arcsec Sampled every 10 arcsec (5.23039 points per beam) in X Sampled every 15 arcsec (3.48693 points per beam) in Y Expected effective restoring beam along X = 54.1741 arcsec Expected effective restoring beam along Y = 54.5878 arcsec Geometric mean = 54.3805 arcsec Out: 54.380521837034024