#!/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_121 M3.0 II # 16:10:51.60 -38:53:13.9 # BINARY also seen (more clearly) in M12 field = 25 # 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 = 330 # CHANGEME yc = 316 # CHANGEME in_a = 80 out_a = 120 aper = 1.25 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 = 2000, threshold = 0, interactive = True, imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # 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'}]) # see emission clearly # 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') # redo moment0 maps (now excluding noisy first channel!!) # os.system('rm -rf f'+str(field)+'_13co32.mom0*') immoments(imagename = 'f'+str(field)+'_13co32_b4sc.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!!) # 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 = 1125.32 mJy, rms = 28.42 mJy, S/N = 39.6 # view continuum and gas imview(raster=[{'file':'f'+str(field)+'_13co32.mom0'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # TD peaks much clearer in M12! # 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') ''' diameter total rms snr 2.6 1135.25 121.537 9.3 diameter total rms snr 1.2 826.05 50.393 16.4 diameter peak rms snr 0.2 181.32 29.901 6.1 ''' # ======================== C18O line ========================================== # don't bother with selfcal as it doesn't help... # os.system('rm -rf f'+str(field)+'_c18o32_b4sc*') clean(vis = 'f'+str(field)+'.vis.contsub', imagename = 'f'+str(field)+'_c18o32_b4sc', mode = 'velocity', start = start, width = width, nchan = nchan, outframe = outframe, veltype = veltype, restfreq = '329.33055GHz', niter = 500, threshold = 0, interactive = False, mask = 'f25_cont_mask.crtf', imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # couldn't see line, just cleaned in automated mode # in continuum region for all channels # 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_b4sc.image'}], contour = [{'file':'f'+str(field)+'_cont.fits'}]) # 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') # redo moment0 maps (now excluding noisy first channel!!) # os.system('rm -rf f'+str(field)+'_c18o32.mom0*') immoments(imagename = 'f'+str(field)+'_c18o32_b4sc.image', outfile = 'f'+str(field)+'_c18o32.mom0', moments = [0], includepix = [-10.0,100.0], chans = ('range=[2km/s,6km/s]')) # can't see emission, using same velocity range as 13CO # 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 = 252.83 mJy, rms = 35.31 mJy, S/N = 7.2 # 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/f25_13co32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.68 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 30.49 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 53.15 8.18 6.5 1 0.20 186.59 18.66 10.0 2 0.30 376.32 35.45 10.6 3 0.40 543.54 43.96 12.4 4 0.50 696.41 63.92 10.9 5 0.60 825.11 66.74 12.4 6 0.70 919.68 69.06 13.3 7 0.80 994.03 82.19 12.1 8 0.90 1067.54 91.30 11.7 9 1.00 1106.90 98.76 11.2 10 1.10 1112.28 106.72 10.4 <-- where levels off 11 1.20 1118.73 130.18 8.6 12 1.30 1130.90 130.85 8.6 13 1.40 1127.38 142.46 7.9 14 1.50 1086.40 152.42 7.1 F = 1130.90 mJy E = 130.85 mJy S = 8.64 D = 2.60 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', niter = 2000, threshold = 0, interactive = True, imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # 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=[2km/s,6km/s]')) # CHANGEME (based on above analysis!!) # can see emission, peaks aren't clear; gave good snr and matches CO # 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 = 208.69 mJy, rms = 27.07 mJy, S/N = 7.7 # 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') ''' Measuring COG for M/f25_c18o32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.39 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 35.83 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 34.36 11.09 3.1 1 0.20 81.15 25.92 3.1 2 0.30 81.86 41.19 2.0 <-- ND 3 0.40 43.17 53.79 0.8 4 0.50 7.91 54.55 0.1 5 0.60 -3.44 66.38 -0.1 6 0.70 7.06 89.87 0.1 7 0.80 25.94 91.43 0.3 8 0.90 33.48 106.32 0.3 9 1.00 61.84 87.28 0.7 10 1.10 127.28 126.27 1.0 11 1.20 217.42 132.49 1.6 12 1.30 265.68 120.07 2.2 13 1.40 229.13 128.19 1.8 14 1.50 151.29 129.61 1.2 F = 265.68 mJy E = 120.07 mJy S = 2.21 D = 2.60 arcsec '''