GGTAU

                                                                                                                                                                       
Testing - GG Tau regression script (continued)

DSS - 25feb07
-----------------------------------------------------------------------
Summary of issues:

- For 1mm continuum, I'm getting transfered flux densities of about
  3.9 and 1.5 Jy.  Script says flux densities of 4.3 and 1.8 are good
  values - different enough that it looks like there may be a problem.

We think this is okay. Calibration/fluxscale are now paying attention to flags from bad solutions. Should be better.

- Also, script has: ## Record flux values from logger window. Manually insert ## fluxes with imgr.setjy: setjy('ggtau_07feb97.ms',fieldid=0,spwid=10,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=0,spwid=14,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=0,spwid=18,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=2,spwid=10,fluxdensity=[1.842,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=14,fluxdensity=[1.842,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=18,fluxdensity=[1.842,0.,0.,0.]) ### Note, fieldid=2 should be 1 for swpid 10. Script should get the wrong flux density for 0528 because of this.

- clean of HCO+ line forgot the mode='channel' keyword so a single image with all channels is created. Given the nchan, start, width specifications, it looks like this was not your intent. The clean command in the script is: clean('ggtau.hco.split.ms', imagename='ggtau.hco', alg='clark', niter=100, gain=0.1, nchan=14, start=74, width=4, spwid=0, fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.2,0.2], imsize=[256,256]) viewer # only one channel is created. mode = 'mfs' is the default.

Yes - puzzled why it worked.

- viewer crashes when I try to close one of the images brought in as raster images: Symptoms are:

I started viewing ggtau.1mm.image but then I wanted to bring up the same image that I had created to compare with it. The image I created is in another directory called /home/sola/dss/casa.testing/casa/regression/ggtau/separate.processing I couldn't tell what was happening so I clicked on "Raster image" 3 times. Then I realized I had 3 copies of the same image in the Data register. I tried to close the 2nd 2 I had brought in but the viewer crashed with no error message.

I started the viewer again, brought in the 2 desired images. Then tried to close one of them after blinking between them for a while. The viewer crashed with no error message.

David is looking into this.

- When I just ran the regression script using: execfile 'ggtau_regression.py' the regression part of the script that gives the timing did not run. The script stopped at the generation of the 13co image... I can't see any reason in the script why this would happen. No error message was created. It just stopped.

Can't reproduce this. It is run several times a day now.

Actual detailed test notes:

alias casadaily 'source /home/ballista/casa/daily/casainit.csh; casapy' casadaily

Regression scripts: https://safe.nrao.edu/wiki/bin/view/Software/LegacyCASA

NOTE: refant = NAME now, not ID # ==> previous scripts will get the wrong antenna because they specified ID #.

Useful commands to work around problems:

tb.clearlocks() mp.clearplot restore()

source /home/ballista/casa/daily/casainit.csh; casapy

Yesterday I finished the 3mm continuum processing. Today, do the 1mm continuum and spectral lines.

default('setjy') setjy('ggtau_07feb97.ms',fieldid=3,spwid=10,fluxdensity=[2.2,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=3,spwid=14,fluxdensity=[2.2,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=3,spwid=18,fluxdensity=[2.2,0.,0.,0.])

# CRL618 spwid= 10 [I=2.2, Q=0, U=0, V=0] Jy, (user-specified) # CRL618 spwid= 14 [I=2.2, Q=0, U=0, V=0] Jy, (user-specified) # CRL618 spwid= 18 [I=2.2, Q=0, U=0, V=0] Jy, (user-specified)

## Get first cut phase solutions to improve S/N for BPass determination:

default('gaincal') gaincal('ggtau_07feb97.ms', 'ggtau.1mm.ph.gcal0', 'channel', nchan=30, start=14, step=1, msselect='FIELD_ID==1 && DATA_DESC_ID IN [10,14,18]', gaintype='GSPLINE', calmode='p', splinetime=10000., refant='1', phasewrap=260, preavg=120, gaincurve=False, opacity=False)

## Derive bandpass calibration for 1mm LSB:

default('bandpass') bandpass('ggtau_07feb97.ms', 'ggtau.1mm.bpoly', 'channel', nchan=60, start=2, step=1, msselect='FIELD_ID==1 && DATA_DESC_ID IN [10,14,18]', bandtype='BPOLY', degamp=6, degphase=6, visnorm=False, bpnorm=False, maskcenter=4, maskedge=0, refant='1', gaintable='ggtau.1mm.ph.gcal0', gaincurve=False, opacity=False) plotcal(tablein='ggtau.1mm.bpoly',multiplot=false) # looks good.

## Determine phase solutions for 1mm LSB for all calibrators ## using the 3mm phase solution, transferred ## to the 1mm bands, to reduce the phase rate. The ## net solution (transferred 3mm + 1mm) is written ## to the output table

default('gaincal') gaincal('ggtau_07feb97.ms', 'ggtau.1mm.ph.gcal', 'channel', nchan=60, start=2, step=1, msselect='FIELD_ID IN [0,1,3] && DATA_DESC_ID IN [10,14,18]', gaintype='GSPLINE', calmode='p', splinetime=10000., refant='1', phasewrap=260, gaincurve=False, opacity=False, bptable='ggtau.1mm.bpoly', gaintable='ggtau.3mm.ph.gcal', preavg=0.)

## Apply all solutions derived so far, determine ## calibrators' flux densities using a solve for T and ## fluxscale

default('gaincal') gaincal('ggtau_07feb97.ms', 'ggtau.1mm.temp', 'channel', nchan=60, start=2, step=1, msselect='FIELD_ID IN [0,1,3] && DATA_DESC_ID IN [10,14,18]', solint=600., refant='1', gaintype='T', opacity=False, gaincurve=False, gaintable='ggtau.1mm.ph.gcal', bptable='ggtau.1mm.bpoly') plotcal(tablein='ggtau.1mm.temp',multiplot=false)

default('fluxscale') fluxscale('ggtau_07feb97.ms', 'ggtau.1mm.temp', 'ggtau.1mm.flux', reference=['CRL618 '], transfer=['0415+379','0528+134'])

Flux 0415+379 in SpW=10 is: 3.94822 +/- 0.0690768 (SNR = 57.1569, nAnt= 5) Flux 0415+379 in SpW=14 is: 3.6116 +/- 0.0690842 (SNR = 52.2783, nAnt= 5) Flux 0415+379 in SpW=18 is: 3.96531 +/- 0.0749953 (SNR = 52.8741, nAnt= 5) Flux 0528+134 in SpW=10 is: 1.60516 +/- 0.0263439 (SNR = 60.9309, nAnt= 5) Flux 0528+134 in SpW=14 is: 1.48548 +/- 0.0188886 (SNR = 78.6443, nAnt= 5) Flux 0528+134 in SpW=18 is: 1.65109 +/- 0.0221837 (SNR = 74.4282, nAnt= 5)

Script says flux densities of 4.3 and 1.8 are good values. I'm getting 3.9 and 1.5 - different enough that it looks like there may be a problem.

## Record flux values from logger window. Manually insert ## fluxes with imgr.setjy: setjy('ggtau_07feb97.ms',fieldid=0,spwid=10,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=0,spwid=14,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=0,spwid=18,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=2,spwid=10,fluxdensity=[1.842,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=14,fluxdensity=[1.842,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=18,fluxdensity=[1.842,0.,0.,0.])

#### Note that fieldid 2 for spwid 10 is incorrect, it should be 1.

Apply this flux scale, just change fieldid2 to 1 for spwid10:

setjy('ggtau_07feb97.ms',fieldid=0,spwid=10,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=0,spwid=14,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=0,spwid=18,fluxdensity=[4.310,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=10,fluxdensity=[1.842,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=14,fluxdensity=[1.842,0.,0.,0.]) setjy('ggtau_07feb97.ms',fieldid=1,spwid=18,fluxdensity=[1.842,0.,0.,0.])

## Amplitude calibration of 1mm LSB: default('gaincal') gaincal('ggtau_07feb97.ms', 'ggtau.1mm.amp.gcal', 'channel', nchan=60, start=2, step=1, msselect='FIELD_ID IN [0,1,3] && DATA_DESC_ID IN [10,14,18]', gaintype='GSPLINE', calmode='a', splinetime=20000., refant='1', phasewrap=260, gaincurve=False, opacity=False, bptable='ggtau.1mm.bpoly', preavg=2500., gaintable='ggtau.1mm.ph.gcal')

## Correct the target source and all other 1mm LSB continuum data: default('correct') correct('ggtau_07feb97.ms', msselect='DATA_DESC_ID IN [10,14,18]', gaincurve=False, opacity=False, gaintable='ggtau.1mm.ph.gcal', bptable='ggtau.1mm.bpoly', pointtable='ggtau.1mm.amp.gcal') ## Odd use of pointtable again...

## Split out calibrated target source 1 mm continuum data: default('split') split('ggtau_07feb97.ms', 'ggtau.1mm.split.ms', fieldid=2, spwid=[10,14,18], nchan=60, start=2, step=1, datacolumn='corrected')

default('clean') clean('ggtau.1mm.split.ms', imagename='ggtau.1mm', alg='clark', niter=100, gain=0.1, nchan=1, start=3, width=58, spwid=[0,1,2], fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.1,0.1], imsize=[256,256]) # beam: 0.765417 by 0.385166 (arcsec) at pa 17.2348 (deg)

viewer # image looks poor with stripes. There is a continuum source int he center (maybe). Can't evaluate this image. Look at the calibrator instead to see if there is a point source.

default('split') split('ggtau_07feb97.ms', 'gcal.1mm.split.ms', fieldid=1, spwid=[10,14,18], nchan=60, start=2, step=1, datacolumn='corrected') default('clean') clean('gcal.1mm.split.ms', imagename='gcal.1mm', alg='clark', niter=100, gain=0.1, nchan=1, start=3, width=58, spwid=[0,1,2], fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.1,0.1], imsize=[256,256]) # beam: 0.75523 by 0.401485 (arcsec) at pa 18.6367 (deg)

viewer # there is a point source in the center, some striping.

# 3mm HCO+(1-0) line calibration default('bandpass') bandpass('ggtau_07feb97.ms', 'ggtau.hco.bpoly', 'channel', nchan=206, start=25, step=1, msselect='FIELD_ID==1 && DATA_DESC_ID==6', bandtype='BPOLY', degamp=1, degphase=1, visnorm=False, bpnorm=False, maskcenter=40,maskedge=0, refant='1', gaintable='ggtau.3mm.ph.gcal0', gaincurve=False, opacity=False)

default('correct') correct('ggtau_07feb97.ms', msselect='DATA_DESC_ID==6', gaincurve=False, opacity=False, gaintable='ggtau.3mm.ph.gcal', bptable='ggtau.hco.bpoly', pointtable='ggtau.3mm.amp.gcal')

default('split') split('ggtau_07feb97.ms', 'ggtau.hco.split.ms', fieldid=2, spwid=6, nchan=206, start=25, step=1, datacolumn='corrected')

default('clean') clean('ggtau.hco.split.ms', imagename='ggtau.hco', alg='clark', niter=100, gain=0.1, nchan=14, start=74, width=4, spwid=0, fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.2,0.2], imsize=[256,256])

viewer # only one channel is created. mode = 'mfs' is the default.

default('clean') clean('ggtau.hco.split.ms', imagename='ggtau.hco2', alg='clark', mode='channel', niter=100, gain=0.1, nchan=14, start=74, width=4, spwid=0, fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.2,0.2], imsize=[256,256]) # beam: 1.86697 by 0.979325 (arcsec) at pa 15.9725 (deg)

viewer # OK, now there is a channel map. I don't expect there to be anything to see - emission is too weak.

# 1mm 13CO(2-1) line calibration

default('bandpass') bandpass('ggtau_07feb97.ms', 'ggtau.co.bpoly', 'channel', nchan=240, start=8, step=1, msselect='FIELD_ID==1 && DATA_DESC_ID==22', bandtype='BPOLY', degamp=1, degphase=1, visnorm=False, bpnorm=False, maskcenter=4, maskedge=0, refant='1', gaintable='ggtau.1mm.ph.gcal0', gaincurve=False, opacity=False)

default('correct') correct('ggtau_07feb97.ms', msselect='DATA_DESC_ID==22', gaincurve=False, opacity=False, gaintable='ggtau.1mm.ph.gcal', bptable='ggtau.co.bpoly', pointtable='ggtau.1mm.amp.gcal')

default('split') split('ggtau_07feb97.ms', 'ggtau.co.split.ms', fieldid=2, spwid=22, nchan=240, start=0, step=1, datacolumn='corrected')

default('clean') clean('ggtau.co.split.ms', imagename='ggtau.co', alg='clark', niter=100, gain=0.1, nchan=14, start=91, width=4, spwid=0, fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.1,0.1], imsize=[256,256])

## Again, no mode='channel' specified in clean, add it default('clean') clean('ggtau.co.split.ms', imagename='ggtau.co2', alg='clark', mode='channel', niter=100, gain=0.1, nchan=14, start=91, width=4, spwid=0, fieldid=0, stokes='I', weighting='briggs', rmode='norm', robust=0.5, cell=[0.1,0.1], imsize=[256,256])

viewer # nothing visible in even the 'mfs' image. some striping, not a great image or calibration.

Now, just run the regression script to get final values and see what it generates and how long it takes.

cd regression

execfile 'ggtau_regression.py'

# odd, the regression part of the script that gives the timing did not run. The script stopped at the generation of the 13co image...

viewer

I started the viewer again, brought in the 2 desired images. Then tried to close one of them after blinking between them for a while. The viewer crashed with no error message.

ggtau.1mm.images look comparable.

viewer

ggtau.3mm images look comparable.

OK, end testing for today.

-- JosephMcMullin - 26 Feb 2007

This topic: Software > WebHome > LegacyCASA > 2007-Feb-28 > DS_GGTAU
Topic revision: 2013-02-13, PatrickMurphy

Copyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding NRAO Public Wiki? Send feedback