#!/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 =========================== # III_28 M1.5 II # 16:07:52.320 -38:58:06.30 field = 14 # 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 = 328 # CHANGEME yc = 315 # CHANGEME in_a = 80 out_a = 120 aper = 0.5 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 unresolved # 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) 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 = 3.96 mJy, rms = 0.25 mJy, S/N = 16.0 # ======================== 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) # 6 of 32 solutions flagged due to SNR < 3 in spw=0 at 2015/06/15/01:47:18.4 # 8 of 31 solutions flagged due to SNR < 3 in spw=0 at 2015/06/15/03:59:03.8 # TOO MANY FLAGGED SOLUTION, STOPPING SC HERE # ======================== Best Continuum Map ================== # 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 = 0.5, # CHANGEME imagermode = imagermode) # stopped after 300 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 # Peak = 3.98 mJy, rms = 0.25 mJy, S/N = 16.1 # Beam = 0.34 x 0.28 arcsec # save this to a fits file 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 = 4.12 mJy, rms = 0.25 mJy, S/N = 16.7 # ======================== 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 point source uvmodelfit(vis = 'f'+str(field)+'_cont.vis', comptype = 'P', sourcepar = [im_flux,dx,dy], varypar = [T,T,T], niter = 10) ''' reduced chi2=1.38845 I = 0.00414938 +/- 0.000193202 x = -0.250653 +/- 0.00731839 arcsec y = -0.154888 +/- 0.00607358 arcsec consistent with than aperture method ''' # 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) ''' reduced chi2=1.38846 I = 0.00439717 +/- 0.000290798 x = -0.251812 +/- 0.00763896 arcsec y = -0.154191 +/- 0.00654575 arcsec a = 0.118891 +/- 0.0393272 arcsec r = 0.0171023 +/- 17.0106 p = 44.4247 +/- 23.6027 deg errors too large, using point source method '''