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ngc4826_tutorial_regression.py File Reference
Go to the source code of this file.
Namespaces
namespace
ngc4826_tutorial_regression
Variables
ngc4826_tutorial_regression.scriptmode
ngc4826_tutorial_regression.benchmarking
string
ngc4826_tutorial_regression.scriptprefix
string
ngc4826_tutorial_regression.prefix
Clear out previous run results.
string
ngc4826_tutorial_regression.msfile
tuple
ngc4826_tutorial_regression.startTime
N4826 - BIMA SONG Data 16apr98 source=ngc4826 phasecal=1310+323 fluxcal=3c273, Flux = 23 Jy on 16apr98 passcal= none - data were observed with online bandpass correction.
tuple
ngc4826_tutorial_regression.startProc
tuple
ngc4826_tutorial_regression._mydatapath
tuple
ngc4826_tutorial_regression.import2time
Import and concatenate sources.
string
ngc4826_tutorial_regression.concatvis
string
ngc4826_tutorial_regression.freqtol
tuple
ngc4826_tutorial_regression.concat2time
string
ngc4826_tutorial_regression.vis
TUTORIAL NOTES:
tuple
ngc4826_tutorial_regression.spwid
tuple
ngc4826_tutorial_regression.clearcal2time
16 APR Calibration
tuple
ngc4826_tutorial_regression.list2time
List contents of MS.
tuple
ngc4826_tutorial_regression.plotxy2time
Plotting and Flagging.
string
ngc4826_tutorial_regression.spw
Flag end channels.
string
ngc4826_tutorial_regression.timerange
string
ngc4826_tutorial_regression.comment
Some example clean-up editing Slightly high almost-edge channel in field='1', spw='4' (channel 2) can be flagged interactively with plotxy.
tuple
ngc4826_tutorial_regression.flag2time
tuple
ngc4826_tutorial_regression.setjy2time
CALIBRATION.
string
ngc4826_tutorial_regression.field
Gain calibration.
string
ngc4826_tutorial_regression.refant
string
ngc4826_tutorial_regression.solint
tuple
ngc4826_tutorial_regression.gaincal2time
string
ngc4826_tutorial_regression.fluxtable
Transfer the flux density scale:
string
ngc4826_tutorial_regression.reference
tuple
ngc4826_tutorial_regression.fluxscale2time
tuple
ngc4826_tutorial_regression.user_check
Plot calibration.
string
ngc4826_tutorial_regression.showgui
tuple
ngc4826_tutorial_regression.plotcal2time
float
ngc4826_tutorial_regression.gaincurve
string
ngc4826_tutorial_regression.gaintable
list
ngc4826_tutorial_regression.spwmap
tuple
ngc4826_tutorial_regression.correct2time
string
ngc4826_tutorial_regression.outputvis
Check calibrated data print '--Plotxy--' default(plotxy)
string
ngc4826_tutorial_regression.datacolumn
tuple
ngc4826_tutorial_regression.split2time
int
ngc4826_tutorial_regression.clnsize
print '--Clearcal (split data)--'
string
ngc4826_tutorial_regression.imagename
list
ngc4826_tutorial_regression.cell
string
ngc4826_tutorial_regression.stokes
string
ngc4826_tutorial_regression.mode
Manually correct for mosaic response pattern using .image/.flux images.
string
ngc4826_tutorial_regression.interpolation
string
ngc4826_tutorial_regression.psfmode
string
ngc4826_tutorial_regression.scaletype
int
ngc4826_tutorial_regression.cyclefactor
As we moved to clean by default in flat sigma rather than flat snr it converges less well cyclefactor=1.5,niter=10000,threshold='45mJy',.
float
ngc4826_tutorial_regression.minpb
tuple
ngc4826_tutorial_regression.clean2time
NOTE: mosaic data ...Sault weighting implies a noise unform image.
tuple
ngc4826_tutorial_regression.srcstat
Statistics on clean image cube.
tuple
ngc4826_tutorial_regression.refpix
tuple
ngc4826_tutorial_regression.refbox
int
ngc4826_tutorial_regression.blcx
int
ngc4826_tutorial_regression.blcy
int
ngc4826_tutorial_regression.trcx
int
ngc4826_tutorial_regression.trcy
tuple
ngc4826_tutorial_regression.offbox
tuple
ngc4826_tutorial_regression.offstat
tuple
ngc4826_tutorial_regression.cenbox
tuple
ngc4826_tutorial_regression.offlinestat
tuple
ngc4826_tutorial_regression.modstat
Statistics on clean model.
string
ngc4826_tutorial_regression.expr
tuple
ngc4826_tutorial_regression.pbcorstat
Statistics on PBcor image cube.
tuple
ngc4826_tutorial_regression.pbcoroffstat
tuple
ngc4826_tutorial_regression.pbcorofflinestat
tuple
ngc4826_tutorial_regression.psfstat
tuple
ngc4826_tutorial_regression.math2time
tuple
ngc4826_tutorial_regression.pbcormodstat
string
ngc4826_tutorial_regression.momfile
Do zeroth and first moments.
string
ngc4826_tutorial_regression.momzeroimage
string
ngc4826_tutorial_regression.momoneimage
list
ngc4826_tutorial_regression.moments
string
ngc4826_tutorial_regression.chans
string
ngc4826_tutorial_regression.outfile
Now print out results The following writes a logfile for posterity.
tuple
ngc4826_tutorial_regression.moments2time
tuple
ngc4826_tutorial_regression.momzerostat
Statistics on moment images.
tuple
ngc4826_tutorial_regression.momonestat
tuple
ngc4826_tutorial_regression.csys
float
ngc4826_tutorial_regression.vel0
float
ngc4826_tutorial_regression.vel35
tuple
ngc4826_tutorial_regression.momoneplane0
tuple
ngc4826_tutorial_regression.momoneplane35
tuple
ngc4826_tutorial_regression.vismean_cal
Get MS stats.
tuple
ngc4826_tutorial_regression.vismean_src
tuple
ngc4826_tutorial_regression.endProc
An alternative is to mask the pbcor image before calculating moments.
tuple
ngc4826_tutorial_regression.endTime
string
ngc4826_tutorial_regression.testdate
Previous results to be used for regression.
string
ngc4826_tutorial_regression.testvers
float
ngc4826_tutorial_regression.clean_image_max
RR, 3/11/2011 - The rmses went up, but not to their historical maxima.
float
ngc4826_tutorial_regression.clean_offsrc_rms
float
ngc4826_tutorial_regression.clean_offline_rms
float
ngc4826_tutorial_regression.clean_momentzero_max
float
ngc4826_tutorial_regression.clean_momentzero_rms
float
ngc4826_tutorial_regression.clean_momentone_median
float
ngc4826_tutorial_regression.clean_momentone_planezero
float
ngc4826_tutorial_regression.clean_momentone_planelast
float
ngc4826_tutorial_regression.vis_mean_cal
float
ngc4826_tutorial_regression.vis_mean_src
float
ngc4826_tutorial_regression.model_sum
float
ngc4826_tutorial_regression.model_pbcor_sum
dictionary
ngc4826_tutorial_regression.canonical
dictionary
ngc4826_tutorial_regression.canonical_results
dictionary
ngc4826_tutorial_regression.regression
string
ngc4826_tutorial_regression.regressfile
dictionary
ngc4826_tutorial_regression.prev_results
tuple
ngc4826_tutorial_regression.fr
tuple
ngc4826_tutorial_regression.u
list
ngc4826_tutorial_regression.srcmax
Calculate regression values.
list
ngc4826_tutorial_regression.offrms
list
ngc4826_tutorial_regression.offlinerms
list
ngc4826_tutorial_regression.momzero_max
list
ngc4826_tutorial_regression.momzero_rms
list
ngc4826_tutorial_regression.momone_median
list
ngc4826_tutorial_regression.momone_plane0
list
ngc4826_tutorial_regression.momone_plane35
list
ngc4826_tutorial_regression.psfcenter
list
ngc4826_tutorial_regression.modflux
list
ngc4826_tutorial_regression.pbcormodflux
dictionary
ngc4826_tutorial_regression.new_regression
tuple
ngc4826_tutorial_regression.datestring
tuple
ngc4826_tutorial_regression.myvers
tuple
ngc4826_tutorial_regression.myuser
tuple
ngc4826_tutorial_regression.myuname
list
ngc4826_tutorial_regression.myhost
list
ngc4826_tutorial_regression.myos
tuple
ngc4826_tutorial_regression.mycwd
tuple
ngc4826_tutorial_regression.mypath
string
ngc4826_tutorial_regression.mydataset
dictionary
ngc4826_tutorial_regression.results
string
ngc4826_tutorial_regression.op
float
ngc4826_tutorial_regression.tol
list
ngc4826_tutorial_regression.resultlist
list
ngc4826_tutorial_regression.res
ngc4826_tutorial_regression.prev
list
ngc4826_tutorial_regression.new_val
list
ngc4826_tutorial_regression.prev_val
ngc4826_tutorial_regression.new_diff
string
ngc4826_tutorial_regression.new_status
float
ngc4826_tutorial_regression.datasize_raw
float
ngc4826_tutorial_regression.datasize_ms
dictionary
ngc4826_tutorial_regression.total
int
ngc4826_tutorial_regression.nstages
dictionary
ngc4826_tutorial_regression.stages
string
ngc4826_tutorial_regression.pickfile
Save regression results as dictionary using Pickle.
tuple
ngc4826_tutorial_regression.f
tuple
ngc4826_tutorial_regression.p
tuple
ngc4826_tutorial_regression.logfile
string
ngc4826_tutorial_regression.final_status
ngc4826_tutorial_regression.regstate
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