gwastro/pycbc: PyCBC v1.13.0 Release

This is the 1.13.0 release of pycbc PyCBC.

The significant changes in this release are:

• A re-working of the PyCBC Inference infrastructure to make it more flexible and extensible.
• Enhancements to the workflow infrastructure to allow PyCBC workflows to be run using singularity containers.
• Enhancements to the workflow infrastructure to allow workflows to be run on OrangeGrid and OSGConnect.

This release has been tested against LALSuite with the hash:

89a30fcf86f5d23455303e32051a87b0e3c3084a

Details of the changes since the 1.12.4 release are at https://github.com/ligo-cbc/pycbc/compare/v1.12.4...v1.13.0

A Docker container for this release is available from the pycbc/pycbc-el7 repository on Docker Hub and can be downloaded using the command:

docker pull pycbc/pycbc-el7:v1.13.0

On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 7 compatible operating systems by running the command:

source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_7/virtualenv/pycbc-v1.13.0/bin/activate

and for Debian 8 compatible operating systems by running the command:

source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_deb_8/virtualenv/pycbc-v1.13.0/bin/activate

A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el7:v1.13.0 which can be started with the command:

singularity shell --home  ${HOME}:/srv --pwd /srv --bind /cvmfs --contain --ipc --pid /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el7\:v1.13.0

A bundled pycbc_inspiral executable for use on the Open Science Grid is available at

/cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_6/bundle/v1.13.0/pycbc_inspiral