Metadata-Version: 2.1
Name: gwosc
Version: 0.3.3
Summary: A python interface to the GW Open Science data archive
Home-page: https://github.com/gwpy/gwosc
Author: Duncan Macleod
Author-email: duncan.macleod@ligo.org
License: MIT
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        The `gwosc` package provides an interface to querying the open data
        releases hosted on <https://losc.ligo.org> from the LIGO and Virgo
        gravitational-wave observatories.
        
        To install:
        
            pip install gwosc
        
        ## Searching for datasets
        
        To search for available datasets (correct as of March 14 2018):
        
        ```python
        >>> 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):
        
        ```python
        >>> datasets.event_gps('GW170817')
        1187008882.43
        >>> datasets.event_at_gps(1187008882)
        'GW170817'
        ```
        
        Similar queries are available for observing run datasets:
        
        ```python
        >>> datasets.run_segment('O1')
        (1126051217, 1137254417)
        >>> datasets.run_at_gps(1135136350)  # event_gps('GW151226')
        'O1'
        ```
        
        ## Locating data URLs by event name
        
        You can search for remote data URLS based on the event name:
        
        ```python
        >>> from gwosc.locate import get_event_urls
        >>> get_event_urls('GW150914')
        ['https://losc.ligo.org//s/events/GW150914/H-H1_LOSC_4_V2-1126259446-32.hdf5', 'https://losc.ligo.org//s/events/GW150914/L-L1_LOSC_4_V2-1126259446-32.hdf5', 'https://losc.ligo.org//s/events/GW150914/H-H1_LOSC_4_V2-1126257414-4096.hdf5', 'https://losc.ligo.org//s/events/GW150914/L-L1_LOSC_4_V2-1126257414-4096.hdf5']
        ```
        
        You can down-select the URLs using keyword arguments:
        
        ```python
        >>> get_event_urls('GW150914', detector='L1', duration=32)
        ['https://losc.ligo.org//s/events/GW150914/L-L1_LOSC_4_V2-1126259446-32.hdf5']
        ```
        
        ## Locating data URLs by GPS interval
        
        You can search for remote data URLs based on the GPS time interval as
        follows:
        
        ```python
        >>> from gwosc.locate import get_urls
        >>> get_urls('L1', 968650000, 968660000)
        ['https://losc.ligo.org/archive/data/S6/967835648/L-L1_LOSC_4_V1-968646656-4096.hdf5', 'https://losc.ligo.org/archive/data/S6/967835648/L-L1_LOSC_4_V1-968650752-4096.hdf5', 'https://losc.ligo.org/archive/data/S6/967835648/L-L1_LOSC_4_V1-968654848-4096.hdf5', 'https://losc.ligo.org/archive/data/S6/967835648/L-L1_LOSC_4_V1-968658944-4096.hdf5']
        ```
        
        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
        
        ```python
        >>> 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:
        
        ```python
        >>> 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](https://losc.ligo.org/O1/)
        (*Data Quality*).
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: MIT License
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