[daip] STUFFR
Andy Biggs
adb at roe.ac.uk
Tue Aug 28 09:44:47 EDT 2007
Hi Eric. Okay, that explains why the maps look so good. Interestingly, I
ran MATCH on the five of my six datasets with identical configurations,
then ran STUFFR on them and attached the final dataset (which has a
slightly different configuration) with DBCON (with DOARRAY=-1). I maybe
made a mistake, but the resultant map actually has a higher rms than doing
the 'wrong thing' without MATCH.
Another thing has occured to me though. As expected, if I plot the u,v
coordinates of a particular baseline in the STUFFR dataset, it corresponds
to multiple actual u,v tracks. In one case I get 3 different tracks on the
one baseline. Therefore, attempting to self-calibrate a STUFFR dataset
would appear to be incorrect. However, I could see that CALIB might do
sort of the right thing as the model subtraction is presumably done using
the u,v coordinates of each visibility, regardless of its baseline
identifier.
I've been attempting self-calibration at this stage mainly because
Frazer's low frequency reduction guide suggests it. I think in the past
it's made very little difference due to the each dataset being
self-calibrated to the same model before STUFFR.
Andy
On Mon, 27 Aug 2007, Eric Greisen wrote:
> Andy Biggs writes:
> > Hi again Eric. This was what I was afraid of and would appear to be
> > disastrous for various datasets that myself and others have mapped in the
> > past. Just looking back at another wide-field VLA dataset that I still
> > have on disk, the data were taken in two sessions about a year apart and
> > the antenna numbers for each are, unsurprisingly, completely different,
> > pad-wise. However, the final maps look excellent, without any hint of a
> > problem with the data. I'm surprised that anything recognisable appears in
> > the maps at all.
>
> Actually, UBAVG compares adjacent uv data samples in BT and averages
> them only if the u,v's are within a certain distance set by the
> desired field of view. This almost certainly helps prevent wrong
> averaging although it also prevents right averaging thereby leaving
> you with too many samples in the imaging. I suspect that this means
> that your images are ok but in future you might wish to use MATCH to
> align the data sets before STUFFR.
>
> Eric Greisen
>
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