[daip] Desired gain normalization scheme.
Craig Walker
cwalker at nrao.edu
Thu Oct 16 18:31:01 EDT 2014
This message is meant to describe the gain normalization scheme I would
like to have in BPASS to use for VLBI data.
The data from the correlator are correlation coefficients - the ratio of
the correlated power to the noise power. The apriori calibration
process can be considered to have two major steps. The first is to
adjust the data for all of the effects introduced by the various bits of
hardware in the system, mainly the analog and digital filters. The
second step is to multiply by the SEFD - the ratio of Ts/gain which
converts power to flux density. That second step might also include
some corrections for propagation effects like opacity.
The autocorrelations are a measure of the total power in the system.
For the second step to work properly, the net effect of the various
corrections for instrumental effects should produce autocorrelations
that are unity across the portion of the bandpass of interest. Then,
after multiplying by the SEFD, the autocorrelation amplitudes will be
the SEFD, which is the desired situation. The same scaling of cross
correlations will produce the calibrated flux density.
One of the first calibration steps for VLBI data is to run ACCOR. That
has the effect of making the average of the autocorrelations unity, but
it does not correct for spectral shape.
With BPASS in its current form, one can get unity calibration results
for the autocorrelations by normalizing by power over the full band
using autocorrelation based bandpasses. Note that one might actually
not want to normalize at all to force the results to unity, but it
doesn't really matter because ACCOR has already forced the average to
unity. The problem with this method is that the autocorrelations do not
contain information about the phase bandpass, and one really wants to
calibrate the phases along with the amplitude.
If one uses strong-source cross correlation data to derive the
bandpasses, complete with phases, and normalize on power across the full
band, you get close. But there are aliasing effects in the edge
channels that cause the bandpass shape in the autocorrelations to be
somewhat different, in those channels, from the cross correlation
bandpass. The autocorrelations are higher in the edge channels because
the aliased signals don't correlate. This effect is stronger for the
PFB, with soft edge filters, than the DDC or the legacy system with
harder edged filters. The result is that, when the cross-correlation
derived bandpass is applied to the autocorrelations, the values over the
central channels that you want to keep are slightly suppressed. In my
test data, the average value is 0.977 for the PFB and 0.993 for the DDC.
One can use CLCOR with the power gain option (new) to correct that and
get good calibration. But it would be nice to not have to do the CLCOR
correction.
In principle, one could run BPASS with autocorrelation based bandpasses,
apply that, and make an incremental cross-correlation bandpass and it
should work. But AIPS is not set up to do that conveniently. One would
have to make a new file with the calibration applied after the first
BPASS.
What would be most convenient, I believe, is for BPASS to make a cross
correlation based bandpass, apply it to a the autocorrelations, and
determine the average result over the selected channels, probably not
including the edge channels. Then the normalization would be to cause
those autocorrelation channels to come out 1.00 on average (and
individually to within the noise). This would introduce the complexity
of having to read the crosscorrelations, determine the bandpass shapes,
read the autocorrelations, apply the bandpass, determine the average in
the selected channels, then apply to the bandpass the normalization
required to make that average unity. The program would thus have to
deal with both cross and autocorrelations, which it probably does not do
now. But the end results, I think, is a proper calibration to do in
preparation for the scaling by the SEFD to convert correlation
coefficients to Jy.
Cheers,
Craig
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R. Craig Walker Array Operations Center
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