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Analyzing Data
I have been trying to push all the data through the pipeline that I have
taken with the stars in constant position in the frame. One of the things
I am noticing as the analysis progresses is that this data is similar in V
and I. In the past, the I data had a larger spread at low magnitudes.
One difference is that I am throwing out data based on the median sky
value. I have watched data going by and set different levels for V and I
based on losing about equal numbers of frames to the rejection. I set it
to lose a small fraction of the frames when the data looks clear. This
does a good job of clearing out dawn, dusk, and cloud data.
I am now looking at a data set go by where it is keeping most of the V data
and rejecting all the I data (so far). As Paul Bartholdi points out, the
Clear Sky Detector sees the water vapor in the atmosphere, as does the I
filter, I suppose.
Now suppose that a few high water vapor nights get mixed into a big pool of
data. These will have more noise, and thus might skew the distribution of
the aperture photometry. But I don't see how. Any comments from the
experts???
Tom Droege