#!/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 =========================== # I_4 II M0.0 15:39:27.780 -34:46:17.400 # BINARY field = 4 # CHANGEME file_ms = '../science_calibrated.ms' contspw = '2,3,4,7,8,9' # continuum spectral windows contspw_w = [128,3840,1920,128,3840,1920] # continuum spw widths robust = 0.5 # CHANGEME imsize = [640,640] cell = '0.03arcsec' imagermode = 'csclean' refant = 'DA52' # CHANGEME xc = 332 # CHANGEME yc = 315 # CHANGEME in_a = 80 out_a = 120 aper = 1.25 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) to set the mask around the main peaks # 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) # MASKED BOTH SOURCES 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 = 45.50 mJy, rms = 0.38 mJy, S/N = 119.0 # ======================== 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) # 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]) # apply calibration to data applycal(vis = 'f'+str(field)+'_cont.vis', spw = '', gaintable = ['f'+str(field)+'_cont_pcal1'], spwmap = [0,0,0,0,0,0], 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 = 48.05 mJy, rms = 0.26 mJy, S/N = 188.2 (much lower rms) # inspect images imview(raster=[{'file':'f'+str(field)+'_cont_b4sc.image'}, {'file':'f'+str(field)+'_cont_pcal1_clean.image'}]) # pcal1 image looks cleaner # ======================== 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) plotcal(caltable = 'f'+str(field)+'_cont_pcal2', xaxis = 'time', yaxis = 'phase', spw = '', iteration = 'antenna', subplot = 421, plotrange = [0,0,-200,200]) applycal(vis = 'f'+str(field)+'_cont.vis', spw = '', gaintable = ['f'+str(field)+'_cont_pcal2'], spwmap = [0,0,0,0,0,0], calwt = T, flagbackup = F) clean(vis = 'f'+str(field)+'_cont.vis', imagename = 'f'+str(field)+'_cont_pcal2_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_pcal2_clean.image')['max'][0] im_rms = imstat(imagename = 'f'+str(field)+'_cont_pcal2_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 = 48.39 mJy, rms = 0.25 mJy, S/N = 190.7 (similar to pcal2) # inspection of the image shows no change from pcal1 imview(raster=[{'file':'f'+str(field)+'_cont_b4sc.image'}, {'file':'f'+str(field)+'_cont_pcal1_clean.image'}, {'file':'f'+str(field)+'_cont_pcal2_clean.image'}]) # no change between pcal1 and pcal2 # ======================== Best Continuum Map ================== # so now run the same applycal but with flagbackup = T, applycal(vis = 'f'+str(field)+'_cont.vis', spw = '', gaintable = ['f'+str(field)+'_cont_pcal1'], # CHANGEME spwmap = [0,0,0,0,0,0], calwt = T, flagbackup = T) # 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 continuum contour # after 100 iterations, masked out companion as it became clearer # stopped after 400 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 = 0.5 (beam size wasn't that different from -1.0; chose more sensitivity for companion) # Peak = 46.67 mJy, rms = 0.31 mJy, S/N = 150.6 # Beam = 0.33 x 0.26 arcsec # save this to a fits file # os.system('rm -rf f'+str(field)+'_cont.fits*') exportfits(imagename='f'+str(field)+'_cont_best.image', fitsimage='f'+str(field)+'_cont.fits') # compare to before self-cal 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 = 66.29 mJy, rms = 0.31 mJy, S/N = 213.9 # re-center image on source and use get_flux.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') ''' Measuring COG for M/f4_cont_cropped.fits Assuming object center (300.0,300.0) Background: 0.00 mJy/beam km/s RMS in annulus 4.0-9.0 arcsec = 0.30 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 13.39 0.07 192.3 1 0.20 37.01 0.17 215.9 2 0.30 55.61 0.28 200.4 3 0.40 63.29 0.36 174.3 4 0.50 65.87 1.28 51.6 5 0.60 66.74 0.59 113.8 6 0.70 67.32 0.76 88.6 7 0.80 67.59 0.79 85.2 8 0.90 67.41 1.01 66.8 9 1.00 67.15 1.02 66.0 F = 67.59 mJy E = 0.79 mJy S = 85.18 D = 1.60 arcsec ''' # ======================== 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,0.5,1,0], varypar = [T,T,T,T,T,T], niter = 10, outfile = 'f'+str(field)+'_gcal.cl') ''' reduced chi2=1.44681 I = 0.0644948 +/- 0.000324961 x = -0.349467 +/- 0.000679583 arcsec y = -0.163394 +/- 0.000587918 arcsec a = 0.171275 +/- 0.00219191 arcsec r = 1 +/- 0.0205031 p = 0 +/- 57.2958 deg consistent with aperture method 15:39:27.752 -34:46:17.563 '''