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RE: Soliciting criticism
Michael,
Thanks for the prod. In setting up for the Welch-Stetson statistics, I was
verifying the weighted mean, and it was occasionally very different from the
normal mean. A little digging brought up a problem. SPS2X doesn't spew out
wildly inaccurate magnitudes and error estimates, but sextractor can. I was
not filtering out sextractor's far out values in one SQL statement (but I
was in another), with the result of including magnitudes with values of >
100 (pretty faint), and an error magnitude of 99 being included. The
weighted mean showed this error very clearly. I will be re-generating the
sextractor graph later tonight. I had SPS filtering out large (> 1) error
estimate stars, so those graphs are more constant, but still suffer from the
same problem. These values appear about 10% of the time in sextractor
(although sextractor generates more stars than SPS, so the total usable star
count is nearly a wash).
Chris,
Nice pick up on SPS and the constant PSF. The scatter makes more sense to
me now. SPS does calculate a constant, two dimensional (I believe) PSF from
stars it picks. With your prod, I now understand this is what I was seeing
in the SPS run logs. I may have a go at the central portion of the image.
I'll wack out some software which clips the outer edges of the image, and
re-run SPS and see what comes out. What if the image was broken into 9 (or
16) sub images, and each reduced separately? Painful, but possible. Anyone
interested in seeing this done?
Now, are there any packages which use non-constant two dimensional PSF
models? Andrew, is your software ready for testing purposes? I have been
admiring your order-of-magnitude-better-than-mine-graphs for a while now :-)
You're running Pascal in DOS, right? I'll be willing to look at what it
takes to port to Linux if you're interested.
I'll see if I can answer my own question, after I send this of course...
Thanks for the input,
Rob
> -----Original Message-----
>
> It puzzles me that the two graphs are so different. In one case,
> the I-band data appear to have smaller scatter at a given magnitude;
> in the other, the V-band data. I would guess that there are
> significant
> tweaks you can make to the parameters which control the software.
> In theory, one might expect the same results from two programs running
> on the same data, no?
>
> I'm afraid I'm not familiar with either program, so I can't
> suggest which parameters you might change, and how much. Sorry.
>
> Here are my suggestions:
>
> - try to figure out why one piece of software does better on
> the V-band, and the other on the I-band.
> Perhaps one camera has sharper images, and one
> program's parameters turn out to work better on sharp
> images?
>
> - pick one set of results, both V and I. For stars with >= 20
> measurements, calculate the Welch-Stetson statistic.
> Select those stars with very large values of this
> statistic, and make some light curves. Some of the
> chosen stars will be contaminated by single bad
> measurements -- ignore them. Try to come up with
> a way to pick out the stars which really do vary more
> than they ought to. Then look:
>
> trends versus position on chip?
> trends versus color?
> any matches to catalogs of known variable stars
> in the area?
>
> That's what I'd do.
>
> Michael
>