#!/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_74 M4.5 II # 16:08:57.79 -39:02:22.6 field = 37 # 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 = 324 # CHANGEME yc = 303 # 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 = 'f37_cont_mask.crtf', imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # used continuum region in automated mode # can see emission but faint and extended so not clear where to clean # 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'}]) # maybe see peaks? # 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.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 = 22.43 mJy, rms = 26.90 mJy, S/N = 0.8 # 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/f37_13co32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.47 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 28.20 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 8.26 6.57 1.3 1 0.20 27.63 21.32 1.3 2 0.30 42.12 34.05 1.2 <-- ND 3 0.40 32.27 48.95 0.7 4 0.50 22.43 53.68 0.4 5 0.60 38.35 52.09 0.7 6 0.70 55.51 57.45 1.0 7 0.80 32.61 66.36 0.5 F = 55.51 mJy E = 57.45 mJy S = 0.97 D = 1.40 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, interactive = False, mask = 'f37_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.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.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 = 44.45 mJy, rms = 31.94 mJy, S/N = 1.4 # 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/f37_c18o32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.74 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 34.53 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 24.04 10.34 2.3 1 0.20 56.84 22.97 2.5 2 0.30 59.50 41.86 1.4 <-- ND 3 0.40 49.61 41.89 1.2 4 0.50 44.45 67.86 0.7 5 0.60 52.81 72.11 0.7 6 0.70 75.40 72.11 1.0 7 0.80 92.16 91.40 1.0 F = 92.16 mJy E = 91.40 mJy S = 1.01 D = 1.60 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 = 500, threshold = 0, interactive = False, mask = 'f37_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)+'_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!!) # can't 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 = 148.60 mJy, rms = 27.89 mJy, S/N = 5.3 # 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 1.6 227.17 111.022 2.0 diameter total rms snr 1.2 187.13 63.030 3.0 diameter peak rms snr 0.8 86.33 27.423 3.1 '''