#!/usr/bin/env """ make line datacubes and integrated maps and compare applying continuum selfcal 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_106 M6.0 II 1.90 # 16:09:56.28 -38:59:51.7 field = 58 # CHANGEME fitspw = '2,3,4,7,8,9' # line-free channels for fitting continuum linespw = '0,1,3,5,6,8' # line spectral windows (C18O, 13CO, CN) robust = 0.5 # CHANGEME imsize = [640,640] cell = '0.03arcsec' imagermode = 'csclean' outframe = 'lsrk' veltype = 'radio' width = '1.0km/s' start = '-3km/s' nchan = 16 xc = 322 # CHANGEME yc = 313 # CHANGEME in_a = 80 out_a = 120 aper = 0.5 boxwidth = 300. box = rg.box([xc-boxwidth,yc-boxwidth],[xc+boxwidth,yc+boxwidth]) # ================ Create continuum subtracted line datasets =================== uvcontsub(vis = 'f'+str(field)+'.vis', # full vis file for this field spw = linespw, # line spw (for cont subtraction) fitspw = fitspw, # cont spw combine = 'spw', solint = 'int', fitorder = 1, want_cont = False) # should not be changed. # ============================== 13CO line ===================================== # first try on 13CO line as thats going to be the brightest # os.system('rm -rf f'+str(field)+'_13co32*') clean(vis = 'f'+str(field)+'.vis.contsub', imagename = 'f'+str(field)+'_13co32', mode = 'velocity', start = start, width = width, nchan = nchan, outframe = outframe, veltype = veltype, restfreq = '330.58797GHz', niter = 500, threshold = 0, interactive = False, mask = 'f58_cont_mask.crtf', imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # can't see emission # used continuum mask # export cube to fits file fbase = 'f'+str(field)+'_13co32' os.system('rm -rf '+fbase+'.cube.fits') exportfits(imagename=fbase+'.image',fitsimage=fbase+'.cube.fits') # use viewer to check channel maps and spectrum # make sure that velocity range is adequate and continuum subtraction ok imview(raster = [{'file':'f'+str(field)+'_13co32.image'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # redo moment0 maps (now excluding noisy first channel!!) # os.system('rm -rf f'+str(field)+'_13co32.mom0*') immoments(imagename = 'f'+str(field)+'_13co32.image', # CHANGEME (based on above analysis!!) outfile = 'f'+str(field)+'_13co32.mom0', moments = [0], includepix = [-10.0,100.0], chans = ('range=[2km/s,6km/s]')) # CHANGEME (based on above analysis!!) # can't see peaks # export to fits file fbase = 'f'+str(field)+'_13co32.mom0' os.system('rm -rf '+fbase+'.fits') exportfits(imagename=fbase,fitsimage=fbase+'.fits') # measure flux im_max = imstat(imagename = 'f'+str(field)+'_13co32.mom0')['max'][0] im_rms = imstat(imagename = 'f'+str(field)+'_13co32.mom0', 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)+'_13co32.mom0', 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 = 89.95 mJy, rms = 30.63 mJy, S/N = 2.9 # view continuum and gas imview(raster=[{'file':'f'+str(field)+'_13co32.mom0'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # re-center image on source and use measure.py to get COG flux # os.system('rm -rf f'+str(field)+'_13co32.mom0_cropped*') ia.fromimage(outfile = 'f'+str(field)+'_13co32.mom0_cropped.image', infile = 'f'+str(field)+'_13co32.mom0.fits', region = box ) ia.close() exportfits(imagename = 'f'+str(field)+'_13co32.mom0_cropped.image', fitsimage = 'f'+str(field)+'_13co32.mom0_cropped.fits') ''' Measuring COG for M/f58_13co32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: -0.23 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 31.44 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 24.99 7.59 3.3 1 0.20 64.74 21.24 3.0 2 0.30 91.64 34.75 2.6 <-- ND 3 0.40 102.12 45.82 2.2 4 0.50 89.95 60.21 1.5 5 0.60 28.05 66.50 0.4 6 0.70 -42.07 79.58 -0.5 7 0.80 -33.52 77.02 -0.4 8 0.90 39.99 97.73 0.4 9 1.00 83.31 110.36 0.8 F = 102.12 mJy E = 45.82 mJy S = 2.23 D = 0.80 arcsec ''' # ======================== C18O line ========================================== # don't bother with selfcal as it doesn't help... # os.system('rm -rf f'+str(field)+'_c18o32*') clean(vis = 'f'+str(field)+'.vis.contsub', imagename = 'f'+str(field)+'_c18o32', mode = 'velocity', start = start, width = width, nchan = nchan, outframe = outframe, veltype = veltype, restfreq = '329.33055GHz', niter = 500, threshold = 0, mask = 'f58_cont_mask.crtf', interactive = False, imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # can't see emission # used continuum mask # export cube to fits file fbase = 'f'+str(field)+'_c18o32' os.system('rm -rf '+fbase+'.cube.fits') exportfits(imagename=fbase+'.image',fitsimage=fbase+'.cube.fits') # use viewer to check channel maps and spectrum # make sure that velocity range is adequate and continuum subtraction ok imview(raster = [{'file':'f'+str(field)+'_c18o32.image'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # redo moment0 maps (now excluding noisy first channel!!) # os.system('rm -rf f'+str(field)+'_c18o32.mom0*') immoments(imagename = 'f'+str(field)+'_c18o32.image', # CHANGEME (based on above analysis!!) outfile = 'f'+str(field)+'_c18o32.mom0', moments = [0], includepix = [-10.0,100.0], chans = ('range=[2km/s,6km/s]')) # export to fits file fbase = 'f'+str(field)+'_c18o32.mom0' os.system('rm -rf '+fbase+'.fits') exportfits(imagename=fbase,fitsimage=fbase+'.fits') # measure flux im_rms = imstat(imagename = 'f'+str(field)+'_c18o32.mom0', 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)+'_c18o32.mom0', 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 = -103.94 mJy, rms = 36.47 mJy, S/N = -2.8 # view continuum and gas imview(raster=[{'file':'f'+str(field)+'_c18o32.mom0'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # re-center image on source and use measure.py to get COG flux # os.system('rm -rf f'+str(field)+'_c18o32.mom0_cropped*') ia.fromimage(outfile = 'f'+str(field)+'_c18o32.mom0_cropped.image', infile = 'f'+str(field)+'_c18o32.mom0.fits', region = box ) ia.close() exportfits(imagename = 'f'+str(field)+'_c18o32.mom0_cropped.image', fitsimage = 'f'+str(field)+'_c18o32.mom0_cropped.fits') ''' Measuring COG for M/f58_c18o32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.45 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 34.99 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 11.54 10.65 1.1 1 0.20 -5.02 26.47 -0.2 2 0.30 -64.00 33.52 -1.9 <-- ND 3 0.40 -94.42 50.47 -1.9 4 0.50 -103.94 64.27 -1.6 5 0.60 -111.33 74.44 -1.5 6 0.70 -98.05 87.02 -1.1 7 0.80 -68.52 98.35 -0.7 8 0.90 -57.00 95.88 -0.6 9 1.00 -78.29 121.80 -0.6 F = 11.54 mJy E = 10.65 mJy S = 1.08 D = 0.20 arcsec ''' # ======================== Image CN ================== # don't bother with selfcal as it doesn't help... # os.system('rm -rf f'+str(field)+'_cn32_b4sc*') clean(vis = 'f'+str(field)+'.vis.contsub', imagename = 'f'+str(field)+'_cn32_b4sc', mode = 'velocity', start = start, width = width, nchan = nchan, outframe = outframe, veltype = veltype, restfreq = '340.24777GHz', mask = 'f58_cont_mask.crtf', niter = 500, threshold = 0, interactive = False, imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # can't see emission # used continuum mask # use viewer to check channel maps and spectrum # make sure that velocity range is adequate and continuum subtraction ok imview(raster = [{'file':'f'+str(field)+'_cn32_b4sc.image'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # redo moment0 maps (now excluding noisy first channel!!) # os.system('rm -rf f'+str(field)+'_cn32.mom0*') immoments(imagename = 'f'+str(field)+'_cn32_b4sc.image', # CHANGEME (based on above analysis!!) outfile = 'f'+str(field)+'_cn32.mom0', moments = [0], includepix = [-10.0,100.0], chans = ('range=[1km/s,7km/s]')) # CHANGEME (based on above analysis!!) # maybe see emission # export to fits file fbase = 'f'+str(field)+'_cn32.mom0' os.system('rm -rf '+fbase+'.fits') exportfits(imagename=fbase,fitsimage=fbase+'.fits') # measure flux im_rms = imstat(imagename = 'f'+str(field)+'_cn32.mom0', 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)+'_cn32.mom0', 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 = 164.03 mJy, rms = 27.85 mJy, S/N = 5.9 # view continuum and gas imview(raster=[{'file':'f'+str(field)+'_cn32.mom0'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # re-center image on source and use measure.py to get COG flux # os.system('rm -rf f'+str(field)+'_cn32.mom0_cropped*') ia.fromimage(outfile = 'f'+str(field)+'_cn32.mom0_cropped.image', infile = 'f'+str(field)+'_cn32.mom0.fits', region = box ) ia.close() exportfits(imagename = 'f'+str(field)+'_cn32.mom0_cropped.image', fitsimage = 'f'+str(field)+'_cn32.mom0_cropped.fits') ''' diameter total rms snr 1.0 164.33 58.434 2.8 diameter total rms snr 0.6 126.08 34.526 3.7 diameter peak rms snr 0.8 98.59 27.547 3.6 ''' # cannot see emission