1) switched LOFAR data-handling to the "combined-subband" mode.
2) ran
time mpirun -np 3 python reduce_data.py -t gmrt -d 2013-07-26 -t0 2013-07-25T22:20:04 -t1 2013-07-25T22:24:04 -nb 10  --nchan 512 -vv
time mpirun -np 3 python reduce_data.py -t lofar -d 2013-07-26 -t0 2013-07-25T22:20:04 -t1 2013-07-25T22:24:04 -nb 10  --nchan 512 -vv
time mpirun -np 3 python reduce_data.py -t aro -d 2013-07-25T18:14:20 -t0 2013-07-25T22:20:04 -t1 2013-07-25T22:24:04 -nb 10  --nchan 512 -vv
scp cita_gw:/cita/h/home-3/berndsen/res/mhvk/scintellometry/scintellometry/trials/vlbi_b1919/*2013-07-25T22:20:04* .
python plot_profiles.py 2013-07-25T22:20:04.000 240

To compare the outputs at UTC 2013-07-25T22:20:04. The GMRT and LOFAR profiles
match up great, but I need to investigate the ARO profile.
fold.py:
    added a 'dedisperse = None' option, which really does *no* dedispersion

observations.conf:
    adjusted observation key timestamps

reduce_data.py:
    switched over lofar processing to LOFARdata_Pcombined,
    which (behind the scenes) concatenates multiple subbands together.
    This makes lofar processing similar to gmrt and aro, since we
    don't have to loop over subband files now