ngc1333_regression.py File Reference

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Namespaces
namespace	ngc1333_regression
Variables
	ngc1333_regression.benchmarking
	ngc1333_regression.usedasync
	ngc1333_regression.doimage
tuple	ngc1333_regression.pathname
string	ngc1333_regression.datapath
string	ngc1333_regression.fitsdata1
string	ngc1333_regression.fitsdata2
string	ngc1333_regression.modelim
string	ngc1333_regression.testdir
string	ngc1333_regression.prefix
string	ngc1333_regression.prefix1
string	ngc1333_regression.prefix2
tuple	ngc1333_regression.startTime
tuple	ngc1333_regression.startProc
string	ngc1333_regression.msfile1
	ngc1333_regression.fitsfile
	ngc1333_regression.vis
	Flagging.
string	ngc1333_regression.antnamescheme
tuple	ngc1333_regression.importtime
	ngc1333_regression.verbose
tuple	ngc1333_regression.listtime
string	ngc1333_regression.mode
list	ngc1333_regression.flagcmds
	Get rid of the autocorrelations from the MS.
	ngc1333_regression.inpfile
tuple	ngc1333_regression.flagtime
	Finally, apply all the flag specifications.
tuple	ngc1333_regression.setjytime
string	ngc1333_regression.gtable1
string	ngc1333_regression.field
	selecting data from 10 fields 0-9 all channels of the 2 spectral windows
float	ngc1333_regression.opacity
string	ngc1333_regression.gtable2
tuple	ngc1333_regression.gaintime
string	ngc1333_regression.btable1
string	ngc1333_regression.refant
string	ngc1333_regression.btable2
tuple	ngc1333_regression.bptime
string	ngc1333_regression.ftable1
string	ngc1333_regression.reference
string	ngc1333_regression.ftable2
tuple	ngc1333_regression.fstime
float	ngc1333_regression.gaincurve
list	ngc1333_regression.gaintable
string	ngc1333_regression.gainfield
tuple	ngc1333_regression.correcttime
string	ngc1333_regression.splitms1
string	ngc1333_regression.datacolumn
tuple	ngc1333_regression.splitsrctime
string	ngc1333_regression.calsplitms1
string	ngc1333_regression.calsplitms2
tuple	ngc1333_regression.splitcaltime
string	ngc1333_regression.msfile2
tuple	ngc1333_regression.importtime2
tuple	ngc1333_regression.listtime2
tuple	ngc1333_regression.flagtime2
	Finally, apply all the flag specifications.
tuple	ngc1333_regression.setjytime2
string	ngc1333_regression.gtable2_1
string	ngc1333_regression.gtable2_2
tuple	ngc1333_regression.gaintime2
string	ngc1333_regression.btable2_1
string	ngc1333_regression.solint
string	ngc1333_regression.btable2_2
tuple	ngc1333_regression.bptime2
string	ngc1333_regression.ftable2_1
string	ngc1333_regression.ftable2_2
tuple	ngc1333_regression.fstime2
tuple	ngc1333_regression.correcttime2
string	ngc1333_regression.splitms2
tuple	ngc1333_regression.splitsrctime2
string	ngc1333_regression.calsplitms2_1
string	ngc1333_regression.calsplitms2_2
tuple	ngc1333_regression.splitcaltime2
string	ngc1333_regression.msfileboth
string	ngc1333_regression.shellcmd
	ngc1333_regression.concatvis
string	ngc1333_regression.freqtol
string	ngc1333_regression.dirtol
tuple	ngc1333_regression.concattime
float	ngc1333_regression.imagetime
float	ngc1333_regression.momenttime
	ngc1333_regression.imagename
int	ngc1333_regression.nchan
	image centered on field 0, making 18 channels averaging 5 data channels to 1 image channel
int	ngc1333_regression.start
int	ngc1333_regression.width
string	ngc1333_regression.psfmode
list	ngc1333_regression.imsize
list	ngc1333_regression.cell
string	ngc1333_regression.stokes
int	ngc1333_regression.niter
	clean with niter of 1 ...basically doing a just a dirty mosaic
float	ngc1333_regression.gain
string	ngc1333_regression.threshold
string	ngc1333_regression.mask
string	ngc1333_regression.spw
string	ngc1333_regression.timerange
string	ngc1333_regression.restfreq
string	ngc1333_regression.phasecenter
string	ngc1333_regression.modelimage
string	ngc1333_regression.weighting
string	ngc1333_regression.imagermode
	ngc1333_regression.mosweight
string	ngc1333_regression.ftmachine
float	ngc1333_regression.cyclefactor
int	ngc1333_regression.cyclespeedup
string	ngc1333_regression.scaletype
	ngc1333_regression.pbcor
float	ngc1333_regression.minpb
string	ngc1333_regression.sigma
string	ngc1333_regression.targetflux
	ngc1333_regression.constrainflux
list	ngc1333_regression.prior
int	ngc1333_regression.negcomponent
list	ngc1333_regression.scales
string	ngc1333_regression.interpolation
	ngc1333_regression.async
string	ngc1333_regression.imimage
string	ngc1333_regression.mom0redoutfile
string	ngc1333_regression.mom0blueoutfile
string	ngc1333_regression.mom0alloutfile
string	ngc1333_regression.mom1alloutfile
list	ngc1333_regression.moments
string	ngc1333_regression.axis
string	ngc1333_regression.chans
list	ngc1333_regression.includepix
list	ngc1333_regression.excludepix
	ngc1333_regression.outfile
tuple	ngc1333_regression.endProc
tuple	ngc1333_regression.endTime
tuple	ngc1333_regression.src_2may
tuple	ngc1333_regression.src_8may
tuple	ngc1333_regression.gcal1_8may
tuple	ngc1333_regression.gcal2_8may
tuple	ngc1333_regression.gcal1_2may
tuple	ngc1333_regression.gcal2_2may
float	ngc1333_regression.thistest_immax
float	ngc1333_regression.thistest_imrms
tuple	ngc1333_regression.statistics
float	ngc1333_regression.cal1_2may
float	ngc1333_regression.cal2_2may
float	ngc1333_regression.cal1_8may
float	ngc1333_regression.cal2_8may
float	ngc1333_regression.src2may
float	ngc1333_regression.src8may
float	ngc1333_regression.immax
float	ngc1333_regression.imrms
tuple	ngc1333_regression.diff_cal1_2may
tuple	ngc1333_regression.diff_cal2_2may
tuple	ngc1333_regression.diff_cal1_8may
tuple	ngc1333_regression.diff_cal2_8may
tuple	ngc1333_regression.diff_src_2may
tuple	ngc1333_regression.diff_src_8may
tuple	ngc1333_regression.diff_immax
tuple	ngc1333_regression.diff_imrms
tuple	ngc1333_regression.datestring
tuple	ngc1333_regression.logfile
	ngc1333_regression.regstate