Revision 962f61f5d7a7068556216e2c593c3b94c7301a7a authored by Tito Dal Canton on 05 September 2019, 12:26:31 UTC, committed by Alex Nitz on 05 September 2019, 12:26:31 UTC
* PyCBC Live: fix issue in how the detector state is reported When (some of) the worker nodes think a detector is unusable, but the master node thinks the opposite, the detector is still reported as being active despite no triggers are produced from it. This patch ensures that the detector is reported as inactive when there are no (or partial) results from it. * Remove log info that shows up too often on stderr
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descr.rst
`PyCBC <http://pycbc.org>`_ is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms to analyze gravitational-wave data from the LIGO and Virgo detectors, detect coalescing compact binaries, and measure the astrophysical parameters of detected sources. PyCBC was used in the `first direct detection of gravitational waves <https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102>`_ and is used in the flagship analysis of LIGO and Virgo data.
PyCBC is developed collaboratively and lead by a team of LIGO scientists with the aim to build accessible tools for gravitational-wave data analysis. One of the easiest ways to get a full software environment is by `downloading one of our docker images. <http://pycbc.org/pycbc/latest/html/docker.html>`_
Some interactive examples using portions of the PyCBC library are also hosted as jupyter notebooks on Microsoft Azure. `Feel free to give them a try. <https://notebooks.azure.com/nitz/libraries/pycbc>`_ You can also explore the `full documentation pages <http://pycbc.org/pycbc/latest/html/index.html>`_ or the `source code on GitHub. <https://github.com/ligo-cbc/pycbc>`_
If you use PyCBC in scientific publications, please see our `citation guidelines. <http://pycbc.org/pycbc/latest/html/credit.html>`_
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