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ngc1333_regression Namespace Reference

Variables

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

Variable Documentation

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selecting data from 10 fields 0-9 all channels of the 2 spectral windows

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Get rid of the autocorrelations from the MS.

Flag antenna with antennaid 8

Flag all data whose amplitude are not in range [0.0,2.0] on the parallel hands ( not done )

Flag data (which is bad) in a time range

Flag all antenna 14, 15 data in the time ranges stated

Sequential flagdata execution:

flagdata(vis=msfile1, autocorr=True, mode='manualflag') flagdata(vis=msfile1,antenna='9', mode='manualflag') flagdata(vis=msfile1,mode='manualflag',clipexpr='ABS RR', clipminmax=[0.0,2.0],clipoutside=True)

flagdata(vis=msfile1,mode='manualflag',clipexpr='ABS LL', clipminmax=[0.0,2.0],clipoutside=True) flagdata(vis=msfile1,mode='manualflag',timerange='2003/05/02/21:40:58~2003/05/02/22:01:30')

flagdata(vis=msfile1,mode='manualflag', antenna='14', timerange='2003/05/02/18:50:50~2003/05/02/19:13:30') flagdata(vis=msfile1,mode='manualflag', antenna='15', spw='0', timerange='2003/05/02/22:38:49~2003/05/02/22:39:11')

autocorr[0] = true

Definition at line 320 of file ngc1333_regression.py.

Finally, apply all the flag specifications.

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Finally, apply all the flag specifications.

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image centered on field 0, making 18 channels averaging 5 data channels to 1 image channel

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clean with niter of 1 ...basically doing a just a dirty mosaic

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Flagging.

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