Revision df8f3d48359c5e9427bce9478bb323411f2d92e8 authored by Duncan Brown on 24 October 2018, 20:33:08 UTC, committed by GitHub on 24 October 2018, 20:33:08 UTC
* run commands under a login shell as the entrypoint * tell pycbc that gwosc frames are on orange grid * fixed gwosc urls * add a site template for OrangeGrid * set up entrypoint before switching to unpriveleged user * use unpriveleged path * fixed pep8 issues * quantize docker commands * try and fix travis lint * fixed docker commands * fixed shell error
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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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