Winter Project

[Thomas Droege <tdroege2@earthlink.net>]

It looks like the clouds have moved in for the winter.  If past experience
is any guide, I will next start getting a reasonable amount of data in late
February.  Sigh!  I had hoped to finish one pass of the Northern
hemisphere.  I probably won't make it this year. 

As a winter project, I am thinking of working on all the .cal files and
adding some flags.  Here is a trial set:

a) worst 1%
b) worst 5%
c)) worst 10%
d) worst 50%
e) worst 90%

The plan is to find all the outliers - say all those measurements for all
stars more than 3 sigma from the mean value for a star.  Then compute the
percentage of outliers in each frame.  Then flag all the readings with a
code as above.  Or I might just put a number in the flag position
indicating the percent "outliers" which would allow you all to make any cut
you like.

Comments anyone?

Note that this is something that someone else might be able to do much
better than I.  I would just make one big data set and let it grind.  There
may be a better way using data base techniques??

Once I get the full sky and many measurements of each star, then this is
something that could be added to the pipeline.  I.e. look up each
measurement and check it against the current mean and adjust the flag.  

Tom Droege