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Once you have a list of magnitudes, I've code that does robust 3-sigma clipping, which will nicely clean up the catalog.

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Jul 23

I have been working on making the code more robust/building abstraction barriers, so now I have code that can reliably process data from both ipp and photpipe, and produce plots (color-color diagrams or otherwise). I also got SLR working with Gautham's help, so now we can have calibrated colors too.

I have looked at sample data from CNP, but Gautham says I should work with MD data for a while longer. I can't start processing CNP data right now because I don't know how to perform the WCS transformations. The data doesn't seem to be very robust just yet anyway?

Ok I guess my main question now is, what kind of plots should I be making now?

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Data access on Odyssey:

1. Run JAuth.jar to get login key
2. ssh -Y into to odyssey.fas.harvard.edu, or herophysics.fas.harvard.edu, using the electronic key. 
3. run tcsh
4. source .myrcstubbs
5. data are at /n/panlfs/data/MIRROR/ps1-md/gpc1/
6. nightly science uses individually warped images, nightly stacks run on stacked frames
7. image types: wrp is warped. 
8. see available modules with "module avail"
9. load a module with "module load hpc/ds9-5.6"
10. photometry is in .cmf files, as FITS tables. 
11. in python: 
    1. import pyfits as p
    2. p.open('filename')
    3. print a[0].header
12. or, imhead on command line
13. a[1].data.AP_MAG for aperture magnitudes
14. PSF_RA and PSF_DEC are in the skycell files. 
15. make a scratch directory for data in /n/panlfs

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