#!/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_30 16:07:54.74 -39:15:44.6 field = 29 # 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 = 315 # CHANGEME yc = 315 # 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 = 'f29_cont_mask.crtf', imsize = imsize, cell = cell, weighting ='briggs', robust = robust, imagermode = imagermode) # could not see line, so just cleaned in automated mode # 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_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]')) # cannot see emission but gives max snr # 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_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 = 29.18 mJy, rms = 47.61 mJy, S/N = 0.6 # 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/f29_13co32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.62 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 48.63 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 7.09 11.03 0.6 1 0.20 26.90 28.54 0.9 2 0.30 37.34 50.54 0.7 <-- ND 3 0.40 25.20 65.96 0.4 4 0.50 29.18 73.16 0.4 5 0.60 73.46 80.36 0.9 6 0.70 98.90 93.59 1.1 7 0.80 84.44 119.11 0.7 8 0.90 76.15 119.61 0.6 ''' # ======================== 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 = 'f29_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'}]) # 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 = -19.24 mJy, rms = 54.37 mJy, S/N = -0.4 # 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 G/f29_c18o32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: 0.02 mJy/beam km/s RMS in annulus 4.0-6.0 arcsec = 57.68 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.10 15.42 16.74 0.9 1 0.20 42.45 34.64 1.2 2 0.30 39.97 47.05 0.8 <-- ND 3 0.40 3.22 67.98 0.0 4 0.50 -19.24 89.80 -0.2 5 0.60 -7.57 93.91 -0.1 6 0.70 17.85 131.57 0.1 7 0.80 29.19 125.71 0.2 F = 42.45 mJy E = 34.64 mJy S = 1.23 D = 0.40 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 = 500, threshold = 0, interactive = False, mask = 'f29_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)+'_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,8km/s]')) # cannot see emission clearly # 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 = 198.73 mJy, rms = 43.30 mJy, S/N = 4.6 # 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/f29_cn32.mom0_cropped.fits Assuming object center (300.0,300.0) Background: -0.12 mJy/beam km/s RMS in annulus 4.0-9.0 arcsec = 42.67 mJy/beam km/s i radius flux err snr (asec) (mJy) (mJy) 0 0.1 29.6 8.6 3.4 1 0.2 93.0 25.4 3.7 2 0.3 158.8 48.6 3.3 3 0.4 193.0 70.5 2.7 4 0.5 198.7 83.8 2.4 5 0.6 172.9 83.8 2.1 6 0.7 122.0 115.8 1.1 7 0.8 83.9 127.0 0.7 8 0.9 64.1 140.4 0.5 9 1.0 69.1 150.5 0.5 F = 198.7 mJy E = 83.8 mJy S = 2.4 D = 1.0 arcsec '''