GWOSC Data on the LIGO Data GridGWOSC data is available on the LIGO data grid (LDG).
gsissh ldas-pcdev1.ligo.caltech.eduGWOSC data is available in the directory:
/archive/losc/The data may be accessed in several ways. For example, GWOSC frame files can be accessed in the same way as other LIGO frame data, using ligo_data_find:
In addition, the GWOSC example API works on the LDG. In this way, you can work on the LDG in exactly the same way as you would on you laptop. For example, you can prototype code on your laptop, and then run batch jobs on the LDG.
$ ligo_data_find -u file -t H1_LOSC_4_V1 -o H -s 800000000 -e 900000000
You are now ready to use GWOSC data, and the GWOSC API, exactly as on your laptop. For example, see the documentation on the GWOSC API Examples page. As a concrete example, let's say we want to write a loop over data which passes Burst CAT2 data quality. We could both construct the segment list and load the data like this:
$ export PYTHONPATH=$PYTHONPATH:/home/losc/py $ ipython > import readligo as rl > filelist = rl.FileList()
Note that constructing a segment list often results in warnings about missing files. This is normal behaviour for the GWOSC sample API - it is a reminder that there are no data files for times with no available science mode data. As an alternative, segment lists can be downloaded from the GWOSC web site using Timeline.
$ export PYTHONPATH=$PYTHONPATH:/home/losc/py $ ipython import readligo as rl import matplotlib matplotlib.use('Agg') import numpy as np #-- Create the list of GWOSC data files filelist = rl.FileList() # -- Set start and stop times start = 844605900 dur = 10000 stop = start + dur # -- Construct a segment list seglist = rl.getsegs(start, stop, 'H1', filelist=filelist, flag='BURST_CAT2') print seglist # -- Loop over segments, load data, print first few samples for (start, stop) in seglist: strain, meta, dq = rl.getstrain(start, stop, 'H1', filelist=filelist) print strain[0:5]
Now that you know how to load data on the LDG, you may want to see some of the other examples on the GWOSC tutorial page.