[daip] questions regarding prtan and imagr
Eric Greisen
egreisen at nrao.edu
Mon May 19 13:47:05 EDT 2008
Hiroko Shinnaga wrote:
>
> It's good to know that UVPLT does not use the antenna table. If I do PRTAN,
> the output for the 8 antennas looks reasonable, like
>
> .............................................
> Array reference position in meters (Earth centered)
> Array BX= -5462428.40757 BY= -2491960.45618 BZ= 2286526.65343
> Polar X = 0.00000 Polar Y = 0.00000 arcsec
> Earth rotation rate = 360.9856449756 degrees / IAT day
> GST at UT=0 = 202.5367277361 degrees
> UT1-UTC= 0.0000000 Data time(UTC )-UTC= 0.0000000 seconds
> Solutions not yet determined for a particular FREQID
> Mount=ALAZ Axis offset= 0.0000 meters IFA IFB
> Feed polarization type = R L
>
> Ant 1 = AN01 BX= 0.0000 BY= 0.0000 BZ= 0.0000
> Ant 2 = AN02 BX= 90.4130 BY= -276.1790 BZ= -263.6168
> Ant 3 = AN03 BX= 85.4508 BY= 1.9548 BZ= -209.1038
> Ant 4 = AN04 BX= 37.0243 BY= -405.5341 BZ= -149.5777
> Ant 5 = AN05 BX= 154.5661 BY= -60.0895 BZ= -399.4778
> Ant 6 = AN06 BX= 128.0491 BY= 73.5067 BZ= -295.3008
> Ant 7 = AN07 BX= 139.7886 BY= 19.8421 BZ= -336.0244
> Ant 8 = AN08 BX= -3.2893 BY= -178.0796 BZ= 14.1085
> .............................................
>
> So, I guess the antenna table is fine except for the fact that the other two
> antenna's information is not included. Do you agree on that?
>
It looks okay - try PRTAB to see if PRTAN is interpreting things oddly
and omitting some display.
> If the antenna table is used only for the calibration process, would we
> expect that the final map after processing IMAGR should be correct as long
> as we process the calibration elsewhere?
>
Actually the AN table is not even used in calibration so you should be
able to
do CALIB (self-cal) when you get the imaging to work.
>
> I understand IMAGR does not use the antenna table now. From where does AIPS
> get information required for UVWTFN?
>
The weights are with the data - displayed by PRTUV etc. Check them that
way. The weighting in IMAGR is wuite complex - it does the weight
summing and normalizing starting with the weights in the data samples
themselves. Note that those weights are assumed to be proportional to
1/uncertainty squared.
Eric Greisen
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