casa: regressions/tests/ic2233.py Source File

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00001 from casac import casac
00002 from locatescript import copydata
00003 
00004 quantity=casac.quanta()
00005 im = casac.imager()
00006 ia = casac.image()
00007 
00008 def data():
00009     return ['ic2233_1.ms']
00010 
00011 def run(fetch=False) :
00012 
00013     #####fetch data
00014     if fetch:
00015         for f in data( ):
00016             copydata( f, os.getcwd( ) )
00017     
00018     im.open('ic2233_1.ms')
00019     npix=1024
00020     im.selectvis(spw='0', nchan=[6], start=[0], step=[1])
00021     im.defineimage(nx=npix, ny=npix, cellx='3.0arcsec', celly='3.0arcsec', stokes="IV", spw=[0])
00022     im.weight(type='briggs', robust=0.7)
00023     im.setvp(dovp=bool(1), usedefaultvp=bool(1), dosquint=bool(1),
00024              parangleinc='5.0deg')
00025     im.make('squint_corr')
00026     im.clean(algorithm='mfhogbom', niter=1000, model=['squint_corr'], residual=['squint_corr.residual'], image=['squint_corr.restored'], threshold='0Jy')
00027     im.done()
00028     return ['squint_corr.restored']