#!/usr/bin/env """ split, clean, and self-cal continuum and line data NOTE: this is intended to be an interactive, iterative process so this is more a log that should be run by cutting and pasting into casa rather than as an executable script search "CHANGEME" for variables to be changed 10/9/15 MCA """ # ======================== Setup =========================== # LupusIII_19 16:07:08.570 -39:14:07.699 # Class F, SpT ? field = 28 # CHANGEME file_ms = '../science_calibrated.ms' contspw = '2,3,4' contspw_w = [128,3840,1920] robust = 0.5 imsize = [640,640] cell = '0.03arcsec' imagermode = 'csclean' refant = 'DA52' # CHANGEME xc = 333 # CHANGEME yc = 315 # CHANGEME in_a = 80 out_a = 120 aper = 1.25 # CHANGEME boxwidth = 300. box = rg.box([xc-boxwidth,yc-boxwidth],[xc+boxwidth,yc+boxwidth]) # ======================= Split Off Continuum ======================== # split off field from full ms split(vis = file_ms, outputvis = 'f'+str(field)+'.vis', field = field, datacolumn = 'data') # split off continuum (take the large bw spw and average split(vis = 'f'+str(field)+'.vis', outputvis = 'f'+str(field)+'_cont.vis', spw = contspw, width = contspw_w, datacolumn = 'data') # plot uv-distance vs. amplitude plotms(vis='f'+str(field)+'_cont.vis', xaxis='uvdist',yaxis='amp', coloraxis='spw') # plotfile='f'+str(field)+'_ampuv_orig.png' # showgui=False, # highres=True, # overwrite=True) # source is resolved # find antenna close to center of configuration # check pipeline log that this ant is OK plotants(vis='f'+str(field)+'_cont.vis') #, figfile='f'+str(field)+'_ants.png') # ================== Clean continuum before selfcal ================== # light clean (100 iterations) # os.system('rm -rf f'+str(field)+'_cont_b4sc*') clean(vis = 'f'+str(field)+'_cont.vis', imagename = 'f'+str(field)+'_cont_b4sc', mode = 'mfs', psfmode = 'clark', niter = 100, threshold = '0.0mJy', interactive = True, mask = '', cell = cell, imsize = imsize, weighting = 'briggs', robust = robust, imagermode = imagermode) im_max = imstat(imagename = 'f'+str(field)+'_cont_b4sc.image')['max'][0] im_rms = imstat(imagename = 'f'+str(field)+'_cont_b4sc.image', region='annulus[['+str(xc)+'pix,'+str(yc)+'pix],['+str(in_a)+'pix,'+str(out_a)+'pix]]')['rms'][0] print 'Peak = {0:.2f} mJy, rms = {1:.2f} mJy, S/N = {2:.1f}'.format(1000*im_max, 1000*im_rms, im_max/im_rms) # Peak = 18.07 mJy, rms = 0.35 mJy, S/N = 52.0 # ======================== Self-Calibrate 1 ================== # first combine all the data by time (solint = inf) # i.e., phase self-cal over entire integration time gaincal(vis = 'f'+str(field)+'_cont.vis', caltable = 'f'+str(field)+'_cont_pcal1', refant = refant, solint = 'inf', combine = 'spw', gaintype = 'T', spw = '', calmode = 'p', minblperant = 4, minsnr = 3) # 2 of 40 solutions flagged due to SNR < 3 in spw=0 at 2015/06/14/04:40:40.7 # 4 of 40 solutions flagged due to SNR < 3 in spw=0 at 2015/06/14/05:14:20.6 # plot phase for each antenna plotcal(caltable = 'f'+str(field)+'_cont_pcal1', xaxis = 'time', yaxis = 'phase', spw = '', iteration = 'antenna', subplot = 421, plotrange = [0,0,-200,200]) # narrow yrange phases close to zero # no variation between integration times (expected since solin=inf) # note DV02 has no data (100% flagged in pipeline calibration) # apply calibration to data applycal(vis = 'f'+str(field)+'_cont.vis', spw = '', gaintable = ['f'+str(field)+'_cont_pcal1'], spwmap = [0,0,0], calwt = T, flagbackup = F) # clean self-calibrated data clean(vis = 'f'+str(field)+'_cont.vis', imagename = 'f'+str(field)+'_cont_pcal1_clean', mode = 'mfs', psfmode = 'clark', niter = 100, threshold = '0.0mJy', interactive = False, mask = 'f'+str(field)+'_cont_b4sc.mask', cell = cell, imsize = imsize, weighting = 'briggs', robust = robust, imagermode = imagermode) im_max = imstat(imagename = 'f'+str(field)+'_cont_pcal1_clean.image')['max'][0] im_rms = imstat(imagename = 'f'+str(field)+'_cont_pcal1_clean.image', region='annulus[['+str(xc)+'pix,'+str(yc)+'pix],['+str(in_a)+'pix,'+str(out_a)+'pix]]')['rms'][0] print 'Peak = {0:.2f} mJy, rms = {1:.2f} mJy, S/N = {2:.1f}'.format(1000*im_max, 1000*im_rms, im_max/im_rms) # Peak = 21.35 mJy, rms = 0.40 mJy, S/N = 53.1 (slightly better) # inspect images imview(raster=[{'file':'f'+str(field)+'_cont_b4sc.image'}, {'file':'f'+str(field)+'_cont_pcal1_clean.image'}]) # pcal1 looks WORSE # ======================== Self-Calibrate 2 ================== # decrease phase self-cal solution interval to a few times integration time # int = 6s (from X125.log) gaincal(vis = 'f'+str(field)+'_cont.vis', caltable = 'f'+str(field)+'_cont_pcal2', refant = refant, solint = '20s', # CHANGEME combine = 'spw', gaintype = 'T', spw = '', calmode = 'p', minblperant = 4, minsnr = 3) #2 of 38 solutions flagged due to SNR < 3 in spw=0 at 2015/06/14/04:40:37.4 #6 of 35 solutions flagged due to SNR < 3 in spw=0 at 2015/06/14/04:40:49.8 #2 of 36 solutions flagged due to SNR < 3 in spw=0 at 2015/06/14/05:14:20.8 ## TOO MANY FLAGS, STOPPING HERE. # ======================== Best Continuum Map ================== # do not apply self-cal. all were horrible, due to faint source? # RE-MAKED _CONT.VIS FILE SO NO CALIBRATION APPLIED TO IT! # deep clean, trying different robust weights # os.system('rm -rf f'+str(field)+'_cont_best*') clean(vis = 'f'+str(field)+'_cont.vis', imagename = 'f'+str(field)+'_cont_best', mode = 'mfs', psfmode = 'clark', niter = 2000, threshold = '0.0mJy', interactive = True, mask = '', cell = cell, imsize = imsize, weighting = 'briggs', robust = -1.0, # CHANGEME imagermode = imagermode) # placed mask around outer cont contour # stopped after 600 iterations once the inside became green im_max = imstat(imagename = 'f'+str(field)+'_cont_best.image')['max'][0] im_rms = imstat(imagename = 'f'+str(field)+'_cont_best.image', region='annulus[['+str(xc)+'pix,'+str(yc)+'pix],['+str(in_a)+'pix,'+str(out_a)+'pix]]')['rms'][0] bmaj = imhead(imagename = 'f'+str(field)+'_cont_best.image', mode="get", hdkey="beammajor") bmin = imhead(imagename = 'f'+str(field)+'_cont_best.image', mode="get", hdkey="beamminor") print 'Peak = {0:.2f} mJy, rms = {1:.2f} mJy, S/N = {2:.1f}'.format(1000*im_max, 1000*im_rms, im_max/im_rms) print 'Beam = {0:.2f} x {1:.2f} arcsec'.format(bmaj.get('value'),bmin.get('value')) # robust = -1.0 # Peak = 16.48 mJy, rms = 0.49 mJy, S/N = 33.7 # Beam = 0.33 x 0.27 arcsec # save this to a fits file exportfits(imagename='f'+str(field)+'_cont_best.image', fitsimage='f'+str(field)+'_cont.fits') # compare to before (trade-off with smaller beam seems worth it) imview(raster=[{'file':'f'+str(field)+'_cont_b4sc.image'}, {'file':'f'+str(field)+'_cont_best.image'}]) # measure flux # imview(raster=[{'file':'f'+str(field)+'_cont_best.image'}]) im_rms = imstat(imagename = 'f'+str(field)+'_cont_best.image', region='annulus[['+str(xc)+'pix,'+str(yc)+'pix],['+str(in_a)+'pix,'+str(out_a)+'pix]]')['rms'][0] im_flux = imstat(imagename = 'f'+str(field)+'_cont_best.image', region='circle[['+str(xc)+'pix,'+str(yc)+'pix],'+str(aper)+'arcsec]')['flux'][0] print 'Flux = {0:.2f} mJy, rms = {1:.2f} mJy, S/N = {2:.1f}'.format(1000*im_flux, 1000*im_rms, im_flux/im_rms) # Flux = 91.92 mJy, rms = 0.49 mJy, S/N = 188.0 # re-center image on source and use measure.py to get COG flux ia.fromimage(outfile = 'f'+str(field)+'_cont_cropped.image', infile = 'f'+str(field)+'_cont.fits', region = box ) ia.close() exportfits(imagename = 'f'+str(field)+'_cont_cropped.image', fitsimage = 'f'+str(field)+'_cont_cropped.fits') ''' diameter total rms snr 2.4 92.07 1.485 62.0 diameter total rms snr 1.6 83.51 1.045 79.9 diameter peak rms snr 0.8 16.48 0.501 32.9 ''' # ======================== Measure flux with UVMODELFIT ================== # calculate offset from phase center in arcsec pixscale = 0.03 # must match 'cell' dx = pixscale*(320.0-xc) # offset to east (left) dy = pixscale*(yc-320.0) # offset to north (up) # measure flux as gaussian uvmodelfit(vis = 'f'+str(field)+'_cont.vis', comptype = 'G', sourcepar = [im_flux,dx,dy,0.5,0.5,-30.0], varypar = [T,T,T,T,T,T], niter = 10) ''' reduced chi2=1.39237 I = 0.091748 +/- 0.00104654 x = -0.355701 +/- 0.00282983 arcsec y = -0.184935 +/- 0.0047132 arcsec a = 1.03522 +/- 0.0124378 arcsec r = 0.296366 +/- 0.00696239 p = -25.1661 +/- 0.410735 deg consistent with aperture method 16:07:08.539 -39:14:07.885 '''