feather_plot

uvcombine.feather_plot(hires, lores, highresextnum=0, lowresextnum=0, highresscalefactor=1.0, lowresscalefactor=1.0, lowresfwhm=None, lowpassfilterSD=False, xaxisunit='arcsec', hires_threshold=None, lores_threshold=None, match_units=True)

Plot the power spectra of two images that would be combined along with their weights.

High-res will be shown in red, low-res in blue.

Parameters:

highresfitsfilestr

The high-resolution FITS file

lowresfitsfilestr

The low-resolution (single-dish) FITS file

highresextnumint

The extension number to use from the high-res FITS file

highresscalefactorfloat

lowresscalefactorfloat

A factor to multiply the high- or low-resolution data by to match the low- or high-resolution data

lowresfwhmastropy.units.Quantity

The full-width-half-max of the single-dish (low-resolution) beam; or the scale at which you want to try to match the low/high resolution data

xaxisunit‘arcsec’ or ‘lambda’

The X-axis units. Either arcseconds (angular scale on the sky) or baseline length (lambda)

hires_thresholdfloat or None

lores_thresholdfloat or None

Threshold to cut off before computing power spectrum to remove the noise contribution. Threshold will be applied after scalefactor.

match_unitsbool

Attempt to match the flux units between the files before combining? See match_flux_units.

Returns:

comboimage

The image of the combined low and high resolution data sets

combo_hdufits.PrimaryHDU

(optional) the image encased in a FITS HDU with the relevant header