#!/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_18 M5.5 F # 16:07:03.850 -39:11:11.602 field = 48 # 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 = 330 # CHANGEME yc = 314 # 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 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 = 1.63 mJy, rms = 0.25 mJy, S/N = 6.6 # ======================== 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) # 26 of 32 solutions flagged due to SNR < 3 in spw=0 at 2015/06/15/02:44:07.0 # 21 of 31 solutions flagged due to SNR < 3 in spw=0 at 2015/06/15/04:56:00.6 # ======================== 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) # placed conservative mask due to extension of sourcee= # stopped after 200 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 = 1.64 mJy, rms = 0.25 mJy, S/N = 6.6 # 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') # 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 = 3.76 mJy, rms = 0.25 mJy, S/N = 15.1 # 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') ''' Measuring COG for M/f48_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 = 0.25 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 0.46 0.07 6.4 1 0.20 1.38 0.18 7.8 2 0.30 2.46 0.29 8.4 3 0.40 3.39 0.42 8.1 4 0.50 4.19 0.55 7.7 5 0.60 4.52 0.55 8.2 6 0.70 4.51 0.53 8.4 7 0.80 4.50 0.85 5.3 F = 4.52 mJy E = 0.55 mJy S = 8.16 D = 1.20 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) ''' reduced chi2=1.3767 I = 0.0051349 +/- 0.000543666 x = -0.295015 +/- 0.0261114 arcsec y = -0.156254 +/- 0.0320038 arcsec a = 0.774091 +/- 0.0950352 arcsec r = 0.23282 +/- 0.0808732 p = -35.2208 +/- 4.06365 deg higher than aperture method 16:07:03.825 -39:11:11.756 '''