Merge branch 'master' of git://github.com/AaronParsons/capo
Merge branch 'master' of git://github.com/AaronParsons/capo
Merge branch 'master' of github.com:dannyjacobs/capo
Merge branch 'master' of github.com:dannyjacobs/capo
Merge branch 'master' of git://github.com/AaronParsons/capo
Merge branch 'master' of github.com:dannyjacobs/capo
Merge branch 'master' of github.com:dannyjacobs/capo
Merge branch 'master' of git://github.com/AaronParsons/capo
added the MWA position class
Merge branch 'master' of github.com:dannyjacobs/capo
Merge branch 'master' of github.com:dannyjacobs/capo
Merge branch 'master' of git://github.com/AaronParsons/capo
Added a calfile to test a couple really long baselines. Still messing with pseudo_inverse function in useful_functions. Added a test to the function to check whether it works.
Created a new calfile for a circular array with a gaussian beam. Partially fixed the pseudo inverse routine -- found a problem with how I was sorting the eigenvector array. But it's still not entirely working.
Improved but still not working pseudo inverse function. Modified sph_harm_coeffs.py to do less typing for each run. renamed the gaussian beam array to be consistent with previous naming scheme.
added service script for task server
Merge branch 'master' of github.com:dannyjacobs/capo
The pseudo inverse code was working all along. My test was wrong because I forgot that eigenvectors are not guaranteed to be orthogonal when your matrix is not Hermetian. I fixed the test to project out the Z vectors and so now everything works.
Updating the taskserver with logging ability and adding init.d service script for the real still.
Merge remote-tracking branch 'arp/master'