Examples
Often, it is desirable to calibrate calibrators and science targets in separate runs of applycal, perhaps with different interpolation parameters. First we calibrate the calibrators (fields 0 and 1) using gainfield='nearest' for the gain caltable to ensure that each calibrator will be calibrated by solutions obtained from itself. (The bandpass calibration is typically solved from one field but applied to all fields.):
applycal(vis='n5921.ms',
field='0,1', # calibrators
spw='', # all channels
gaintable=['n5921.gcal','n5921.bcal'] # gain and bandpass tables
gainfield=['nearest',''], # nearest on sky for gcal
interp=['nearest','nearest,linear'], # nearest in time for gcal
calwt=True) # calibrate the weights, too
Next, calibrate the science target with explicit gainfield selection for the gain caltable, and linear interpolation in time:
applycal(vis='n5921.ms',
field='2', # science field
spw='', # all channels
gaintable=['n5921.gcal','n5921.bcal'] # gain and bandpass tables
gainfield=['1',''], # field 1 calibrates field 2 for gcal table
interp=['linear','nearest,linear'], # linear in time for gcal
calwt=True) # calibrate the weights, too