if plotcals:
sols = applycals.solutions(g1name, fluxfile=fluxfile)
sols.parsebp(b1name)
p.figure(1)
for spw in range(len(sols.gain[0,0])):
for pol in range(len(sols.gain[0,0,0])):
p.plot(n.abs(sols.gain[:,:,spw,pol]),'b.')
p.xlabel('Solution number')
p.ylabel('Gain amp')
p.savefig(g1name[:-3] + '_gain.png')
p.figure(2)
p.plot(n.abs(sols.bandpass[:,::10,0].transpose()),'b.')
p.plot(n.angle(sols.bandpass[:,::10,1].transpose()),'r.')
p.xlabel('Channel')
p.ylabel('Bandpass amp (1-mean) and angle (rad)')
p.savefig(g1name[:-3] + '_bp.png')
if imagetest:
# then image middle integrations for both CASA gain cal and telcal solutions
for scan in range(len(gainstr.split(','))):
try:
d = leanpipet.pipe_thread(filename=gainms2, nints=15, nskip=gainints[scan]/fps/2, iterint=15, spw=[0,1], chans=chans, dmarr=[0], fwhmsurvey=0.5, fwhmfield=0.5, selectpol=['RR','LL'], scan=scan, datacol='data', size=0, res=0, sigma_image=threshold, searchtype='imageall', filtershape=None, savecands=False, candsfile='', flagmode=flagmode, gainfile=g1name, bpfile=b1name, fluxfile=fluxfile)
d = leanpipet.pipe_thread(filename=gainms2, nints=15, nskip=gainints[scan]/fps/2, iterint=15, spw=[0,1], chans=chans, dmarr=[0], fwhmsurvey=0.5, fwhmfield=0.5, selectpol=['RR','LL'], scan=scan, datacol='data', size=0, res=0, sigma_image=threshold, searchtype='imageall', filtershape=None, savecands=False, candsfile='', flagmode=flagmode, telcalfile=telcalfile)
except IndexError:
print 'Ran out of ints in that scan?'
continue
if fluxmodel:
d = leanpipet.pipe_thread(filename=bpms2, nints=15, nskip=30, iterint=15, spw=[0,1], chans=chans, dmarr=[0], fwhmsurvey=0.5, fwhmfield=0.5, selectpol=['RR','LL'], scan=0, datacol='data', size=0, res=0, sigma_image=threshold, searchtype='imageall', filtershape=None, savecands=False, candsfile='', flagmode=flagmode, gainfile=g1name, bpfile=b1name, fluxfile=fluxfile)
print 'Flux scale calibrator flux = %.3f' % (leanpipet.data.real.mean())
else:
ddm = dmarrall[canddm + 1] - dmarrall[canddm]
dmarr = range(0, 2 * ddm, 2 * ddm / ndm)
print "Searching %s for dmrange %s with %d ints by %d ints." % (msfile, dmarr, nints, iterint)
d = leanpipet.pipe_thread(
filename=msfile,
nints=nints,
nskip=0,
iterint=iterint,
spw=[0, 1],
chans=chans,
dmarr=dmarr,
fwhmsurvey=0.5,
fwhmfield=0.5,
selectpol=["RR", "LL"],
scan=0,
datacol="data",
size=npix * res,
res=res,
sigma_image=threshold,
searchtype="imageall",
gainfile=gainfile,
bpfile=bpfile,
filtershape=filtershape,
savecands=False,
flagmode=flagmode,
nthreads=min(14, ndm),
)
# d = leanpipet.pipe_thread(filename=msfile, nints=nints, nskip=0, iterint=iterint, spw=[0,1], chans=chans, dmarr=dmarr, fwhmsurvey=0.5, fwhmfield=0.5, selectpol=['RR','LL'], scan=0, datacol='corrected_data', size=npix*res, res=res, sigma_image=threshold, searchtype='imageall', telcalfile=telcalfile, filtershape=filtershape, savecands=False, flagmode=flagmode, nthreads=min(14,ndm))
