Esempio n. 1
0
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())
Esempio n. 2
0
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))