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A python interface to the GW Open Science data archive

Project description

gwosc client API

The gwosc package provides an interface to querying the open data releases hosted on from the GEO, LIGO, and Virgo gravitational-wave observatories.

Release status

PyPI version Conda version
DOI License Supported Python versions

Development status

Build status Code coverage Documentation


To install:

conda install -c conda-forge gwosc


pip install gwosc

Searching for datasets

To search for available datasets (correct as of March 14 2018):

>>> from gwosc import datasets
>>> datasets.find_datasets()
['GW150914', 'GW151226', 'GW170104', 'GW170608', 'GW170814', 'GW170817', 'LVT151012', 'O1', 'S5', 'S6']
>>> datasets.find_datasets(detector='V1')
['GW170814', 'GW170817']
>>> datasets.find_datasets(type='run')
['O1', 'S5', 'S6']

To query for the GPS time of an event dataset (or vice-versa):

>>> datasets.event_gps('GW170817')
>>> datasets.event_at_gps(1187008882)

Similar queries are available for observing run datasets:

>>> datasets.run_segment('O1')
(1126051217, 1137254417)
>>> datasets.run_at_gps(1135136350)  # event_gps('GW151226')

Locating data URLs by event name

You can search for remote data URLS based on the event name:

>>> from gwosc.locate import get_event_urls
>>> get_event_urls('GW150914')
['', '', '', '']

You can down-select the URLs using keyword arguments:

>>> get_event_urls('GW150914', detector='L1', duration=32)

Locating data URLs by GPS interval

You can search for remote data URLs based on the GPS time interval as follows:

>>> from gwosc.locate import get_urls
>>> get_urls('L1', 968650000, 968660000)
['', '', '', '']

This arguments for this function are as follows

  • detector : the prefix of the relevant gravitational-wave interferometer, either 'H1' for LIGO-Hanford, or 'L1' for LIGO Livingston,
  • start: the GPS start time of the interval of interest
  • end: the GPS end time of the interval of interest

By default, this method will return the paths to HDF5 files for the 4 kHz sample-rate data, these can be specified as keyword arguments. For full information, run

>>> help(get_urls)

Query for Timeline segments

You can also search for Timeline segments, based on a flag name, and a GPS time interval as follows:

>>> from gwosc.timeline import get_segments
>>> get_segments('H1_DATA', 1126051217, 1126151217)
[(1126073529, 1126114861), (1126121462, 1126123267), (1126123553, 1126126832), (1126139205, 1126139266), (1126149058, 1126151217)]

The output is a list of (start, end) 2-tuples which each represent a semi-open time interval.

For documentation on what flags are available, for example for the O1 science run, see the O1 data release page (Data Quality).

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