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- Learnt about python and unix. I have set up a python development environment on my local machine, and learnt about the unix system for the computing server.
- Wrote a crawler to find the relevant data that's needed to find a light curve from the data on the server. The star to be used is given as an input. The crawler finds all objects within 1 pixel or the sum of variances of the 2 PSFs involved and puts all the data into a file. I used the pickle module for saving the file, but that doesn't seem to preserve all aspects of the data. I'm finding another way to save the data right now. But besides that I think the code is working correctly. I am testing the code for data collected in MD04 in the month of May, 2013.
Monday, Jun 17
- I can process data and produce plots now. Here are some light curves:
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Data access on Odyssey:
- Run JAuth.jar to get login key
- ssh -Y into to odyssey.fas.harvard.edu, or herophysics.fas.harvard.edu, using the electronic key.
- run tcsh
- source .myrcstubbs
- data are at /n/panlfs/data/MIRROR/ps1-md/gpc1/
- nightly science uses individually warped images, nightly stacks run on stacked frames
- image types: wrp is warped.
- see available modules with "module avail"
- load a module with "module load hpc/ds9-5.6"
- photometry is in .cmf files, as FITS tables.
- in python:
- import pyfits as p
- p.open('filename')
- print a[0].header
- or, imhead on command line
- a[1].data.AP_MAG for aperture magnitudes
- PSF_RA and PSF_DEC are in the skycell files.
- make a scratch directory for data in /n/panlfs
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