def x_applycal_gp():
cfg = tasks.ApplycalConfig()
cfg.vis = gpvis
cfg.calwt = True
cfg.parang = True
cfg.gaintable = mk_cal3_gaintables()
cfg.gainfield = mk_cal3_gainfields(gnphfield)
cfg.interp = mk_cal3_interpolns('nearest')
tasks.applycal(cfg)
def applycal_targ():
cfg = tasks.ApplycalConfig()
cfg.vis = targvis
cfg.calwt = True
cfg.parang = True
cfg.gaintable = mk_cal3_gaintables()
cfg.gainfield = mk_cal3_gainfields(gnphfield)
cfg.interp = mk_cal3_interpolns('linear')
tasks.applycal(cfg)
def x_wtf_bp():
cfg = tasks.ApplycalConfig()
cfg.vis = bpvis
cfg.calwt = True
cfg.parang = True
cfg.gaintable = [dl, bp, g0]
cfg.gainfield = ['', '', bpfdfield]
cfg.interp = ['nearest', 'nearest', 'nearest']
tasks.applycal(cfg)
def applycal_gp():
cfg = tasks.ApplycalConfig()
cfg.vis = gpvis
cfg.calwt = True
cfg.parang = True
cfg.gaintable = cal2_gaintables
cfg.gainfield = cal2_gainfields
cfg.interp = cal2_interpolns
tasks.applycal(cfg)
def applysc1():
cfg = tasks.ApplycalConfig()
cfg.vis = tavgvis
cfg.calwt = False
cfg.parang = False
cfg.gaintable = ['sc1.cal']
cfg.gainfield = ['']
cfg.interp = ['nearest'] # XXX ['linear']
cfg.spwmap = [[0, 0, 0]]
tasks.applycal(cfg)
def finishpeel(idx):
idx = int(idx)
assert idx >= 0 and idx < len(peels)
peelwork = peelworkfmt.format(idx=idx)
gpeel1 = gpeel1fmt.format(idx=idx)
gpeel2 = gpeel2fmt.format(idx=idx)
smbppeel = peelsmbpfmt.format(idx=idx)
cfg = tasks.ApplycalConfig()
cfg.vis = peelwork
cfg.parang = True
cfg.gaintable = [gpeel1, gpeel2, smbppeel]
cfg.gainfield = ['', '', '']
cfg.interp = ['linear', 'linear', 'nearest']
tasks.applycal(cfg)
def applyapriori():
"""Apply the a-priori calibrations before gluing. Besides being
convenient, opacity and swpow are per-spw in terms of the raw data spws,
not our glued spws, so we need to apply those tables before gluing. (Or,
at least, life is easier if we do.)
"""
cfg = tasks.ApplycalConfig()
cfg.vis = ungluedvis
cfg.calwt = True
cfg.gaintable = [gc, sp, op]
cfg.gainfield = ['', '', '']
cfg.interp = ['linear', 'nearest', 'nearest']
if have_antpos:
cfg.gaintable += [antpos]
cfg.gainfield += ['']
cfg.interp += ['nearest']
tasks.applycal(cfg)