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ngc4826_tutorial_regression.py File Reference

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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