#!/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 ===================================== # LupusIII_137 +16:12:43.75 -38:15:03.2 # Class II, K0 field = 7 # CHANGEME fitspw = '2,3,4' # line-free channels for fitting continuum linespw = '0,1,3' # 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 = 316 # CHANGEME in_a = 80 out_a = 120 aper = 0.5 # CHANGEME 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 = 'f7_cont_mask.crtf', imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # could not see line, so just cleaned in automated mode around continuum # 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'}]) # don't see emission # 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]')) # cannot see emission # export to fits file fbase = 'f'+str(field)+'_13co32.mom0' os.system('rm -rf '+fbase+'.fits') exportfits(imagename=fbase,fitsimage=fbase+'.fits') # measure flux # imview(raster=[{'file':'f'+str(field)+'_13co32.mom0'}]) 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 = 8.24 mJy, rms = 55.15 mJy, S/N = 0.1 # 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 G/f7_13co32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.04 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 55.53 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 8.85 15.60 0.6 1 0.20 32.76 43.34 0.8 2 0.30 42.45 54.31 0.8 <-- ND 3 0.40 21.63 76.21 0.3 4 0.50 8.24 89.84 0.1 5 0.60 10.02 100.21 0.1 6 0.70 28.21 108.53 0.3 7 0.80 30.41 118.27 0.3 F = 42.45 mJy E = 54.31 mJy S = 0.78 D = 0.60 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 = 'f7_cont_mask.crtf', imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # could not see line, so just cleaned lightly # within continuum region for all channels at once # 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 = -84.29 mJy, rms = 66.83 mJy, S/N = -1.3 # 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 G/f7_c18o32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.09 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 69.41 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 -21.88 19.60 -1.1 1 0.20 -65.20 43.81 -1.5 2 0.30 -111.56 57.12 -2.0 <-- ND 3 0.40 -130.54 78.46 -1.7 4 0.50 -84.29 93.84 -0.9 5 0.60 -19.71 114.27 -0.2 6 0.70 -11.02 130.78 -0.1 7 0.80 -22.60 136.78 -0.2 F = -11.02 mJy E = 130.78 mJy S = -0.08 D = 1.40 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=[1km/s,7km/s]')) # can clearly 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 = 1064.90 mJy, rms = 47.06 mJy, S/N = 22.6 # 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 G/f7_cn32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: -0.15 mJy/beam km/s RMS in annulus 4.0-9.0 arcsec = 48.90 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.1 56.8 11.9 4.8 1 0.2 227.4 35.3 6.4 2 0.3 525.3 48.9 10.7 3 0.4 818.9 68.2 12.0 4 0.5 1064.9 102.7 10.4 5 0.6 1225.9 103.7 11.8 6 0.7 1329.0 108.5 12.2 7 0.8 1346.3 124.4 10.8 8 0.9 1307.4 134.8 9.7 9 1.0 1283.6 156.7 8.2 10 1.1 1291.7 175.0 7.4 11 1.2 1286.8 179.2 7.2 F = 1346.3 mJy E = 124.4 mJy S = 10.8 D = 1.6 arcsec '''