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script to combine 7m and TP cubes #340

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200 changes: 200 additions & 0 deletions aces/imaging/TP-ACA-feather.py
Original file line number Diff line number Diff line change
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# This script is to feather 7m and TP cubes.


# A template CMZ cube for mosaic
#templateIM='/almalustre/home/pyhsieh/ESO/spw24/template/CS2-1-temlate-whole-band.image' # whole band
#templateIM='/almalustre/home/pyhsieh/ESO/spw24/template/CS2-1-temlate-narrow-band.image' # only 0~1500 channel
templateIM='CS2-1-temlate-whole-band.image'

import glob
linename=glob.glob('*spw33*.image.pbcor')
linewt=glob.glob('*.weight')


fieldnum=38

# update rest frequency of 12m cubes (line and weight data) with CS(2-1) line

for i in range(len(linename)):
imhead( imagename=linename[i],
mode='put',
hdkey='restfreq',hdvalue='97.980953GHz',verbose=False)

for i in range(len(linewt)):
imhead( imagename=linewt[i],
mode='put',
hdkey='restfreq',hdvalue='97.980953GHz',verbose=False)



# reading spectral line and weight cubes of 7m and TP from dict.txt
# in dict-aca.txt, adding the pairs of 7m and TP mous id

daca={}
dtp={}
with open("dict-aca.txt") as f:
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could you add this file too?

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It's added in #342

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Thanks for the comments. I have edited the script accordingly (I think I dit it). Which bottom should I click to submit this change request so you could merge it?

linename=glob.glob('*.image.pbcor')
linename=glob.glob('spw33.image.pbcor')

for line in f:
(key,valaca,valtp)=line.split()
daca[int(key)]=valaca
dtp[int(key)]=valtp


imageListACA=[]
imageListTP=[]
imageListACAwt=[]


for i in range(fieldnum):
imageListACAwt.append(glob.glob("*"+daca[i]+"*.weight"))

for i in range(fieldnum):
imageListACA.append(glob.glob("*"+daca[i]+"*.image.pbcor"))

for i in range(fieldnum):
imageListTP.append(glob.glob("*"+dtp[i]+"*.sd.fits.image"))


# preparing a template CMZ cube
## using the mosaic template from globus under /mosaics
importfits(fitsimage = '7m_CS_2-1_m0_mosaic.fits',
imagename = '7m_CS_2-1_m0_mosaic.image')

imhead(imagename='7m_CS_2-1_m0_mosaic.image',
mode='put',
hdkey='restfreq',hdvalue='97.980953GHz',verbose=False)

## regrid the mosaic template to Celestial coordiate (it appears that feather is not working well in Galactic coordinate)
imregrid(imagename = '7m_CS_2-1_m0_mosaic.image',
template='J2000',
output='7m_CS_2-1_m0_mosaic.radec.image')

## regrid (any) 7m line cube to the CMZ template (only X and Y)
imregrid(imagename = 'uid___A001_X1590_X30ac.s38_0.Sgr_A_star_sci.spw24.cube.I.iter1.image.pbcor',
template='7m_CS_2-1_m0_mosaic.radec.image',
output='CS2-1-temlate-whole-band.image', axes=[0, 1])

# Imtrans TP map, here needs to swap velocity and stokes axes to match the 7m data header

for i in range(fieldnum):
imtrans(imagename=imageListTP[i][0],
outfile=imageListTP[i][0]+'.imtrans',
order="0132")

# regrid TP data to match 7m data
for i in range(fieldnum):
imregrid(imagename=imageListTP[i][0]+'.imtrans',
template=imageListACA[i][0],
output=imageListTP[i][0]+'.imtrans.regrid',
overwrite=False,
axes=[-1])

# feather 7m and TP data
for i in range(fieldnum):
feather(imagename=imageListACA[i][0]+'.feather',
highres=imageListACA[i][0],
lowres=imageListTP[i][0]+'.imtrans.regrid',
sdfactor=1.0,effdishdiam=-1.0,lowpassfiltersd=False)

# smooth feather cubes to the same beam size (Here I check the maximum beam by visual inspection of 7m cube).
# To speed up this process, I only smooth data from channel 0 to 1550
for i in range(fieldnum):
imsmooth(imagename=imageListACA[i][0]+'.feather',
kernel="gauss",
targetres=True,
major="20arcsec",
minor= "20arcsec",
pa= "0deg",
chans="0~1550", # updated this number depending on your need, or commend out this line if you want to use whole band
outfile=imageListACA[i][0]+'.feather.imsmooth')

# create a narrower band to speed up mosaic, you don't need this step if you want to use whole band
for i in range(fieldnum):
imsubimage(imagename=imageListACA[i][0]+'.feather.imsmooth',
chans="369~935",
outfile=imageListACA[i][0]+'.feather.imsmooth.imsubimage')

for i in range(fieldnum):
imsubimage(imagename=imageListACAwt[i][0],
chans="369~935",
outfile=imageListACAwt[i][0]+'.imsubimage')

## regrid feather cubes to match the template for mosaic

for i in range(fieldnum):
imregrid(imagename=imageListACA[i][0]+'.feather.imsmooth.imsubimage',
template=templateIM,
output=imageListACA[i][0]+'.feather.imsmooth.imsubimage.regrid',
overwrite=False,
axes=[-1])

# deleting masks created during regriding, this step is necessary.
for i in range(fieldnum):
ia.open(imageListACA[i][0]+'.feather.imsmooth.imsubimage.regrid')
ia.maskhandler('delete',['mask0'])
ia.close()


for i in range(fieldnum):
imregrid(imagename=imageListACAwt[i][0]+'.imsubimage',
template=templateIM,
output=imageListACAwt[i][0]+'.regrid',
overwrite=False,
axes=[-1])

# deleting masks created during regriding, this step is necessary.
for i in range(fieldnum):
ia.open(imageListACAwt[i][0]+'.regrid')
ia.maskhandler('delete',['mask0'])
ia.close()

# mosacing maps with weighted averaged
# expor = (IM0*IM1+IM2*IM3+...)/(IM1+IM3+...)
# IM0, 2, 4,... are line cubes, IM1, 3, 5, ... are weight cubes
imageList=[]
num = '('
den = '('
for i in range(fieldnum):
imageList.append(imageListACA[i][0]+'.feather.imsmooth.imsubimage.regrid')
imageList.append(imageListACAwt[i][0]+'.regrid')
tempNum = 'IM'+str(2*i)+'*IM'+str(2*i+1)
tempDen = 'IM'+str(2*i+1)
if i < len(imageListACA) -1:
num = num + tempNum + '+'
den = den + tempDen + '+'
else:
num = num + tempNum + ')'
den = den + tempDen + ')'
expr = num + '/' + den

immath(imagename=imageList,
outfile='CS21-feather-Mosaic.image',
expr=expr)

# convert coordinate from Celestial to Galactic coordinate.
imregrid(imagename='CS21-feather-Mosaic.image',
template='Galactic',
output='CS21-feather-Mosaic.gal.image')

# trim the blank area to reduce cube size
imsubimage(imagename='CS21-feather-Mosaic.gal.image',
outfile='CS21-feather-Mosaic.gal.imsub.image',
box='0,555,1595,1241')

# make mom8 map of individual field
for i in range(fieldnum):
immoments(imagename=imageListACA[i][0]+'.feather',
includepix=[20e-2,100],
moments=[8],
outfile=imageListACA[i][0]+'.feather.mom8',
axis='spectral')

# convert coordinate from Celestial to Galactic coordinate of individual field
for i in range(fieldnum):
imregrid(imagename=imageListACA[i][0]+'.feather.mom8',
template='Galactic',
output=imageListACA[i][0]+'.gal.feather.mom8')

for i in range(fieldnum):
exportfits(imagename=imageListACA[i][0]+'.gal.feather.mom8',
fitsimage=imageListACA[i][0]+'.gal.feather.mom8.fits')