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ligo-cbc/pycbc: Post-O2 Release 6

Alex Nitz; Ian Harry; Duncan Brown; Christopher M. Biwer; Josh Willis; Tito Dal Canton; Larne Pekowsky; Thomas Dent; Andrew R. Williamson; Collin Capano; Soumi De; Miriam Cabero; Bernd Machenschalk; Prayush Kumar; Steven Reyes; Thomas Massinger; Amber Lenon; Stephen Fairhurst; Alex Nielsen; shasvath; Duncan Macleod; Francesco Pannarale; Leo Singer; Stanislav Babak; Hunter Gabbard; dfinstad; John Veitch; CBC Sugar; Sebastian Khan; Lorena Magaña Zertuche

This is the sixth post-O2 release of PyCBC for analysis of data taken during Advanced LIGO's second observing run and Advanced Virgo's first observing run.

This release has been tested against LALSuite with the hash:

8cbd1b7187ce3ed9a825d6ed11cc432f3cfde9a5

This provides functionality to provide a windowing function to apply to data segments before PSD estimation.

Details of the changes since the last release are at https://github.com/ligo-cbc/pycbc/compare/v1.9.1...v1.9.2

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:v1.9.2

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-v1.9.2/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-v1.9.2/bin/activate

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/v1.9.2/pycbc_inspiral

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ligo-cbc/pycbc-v1.9.2.zip
md5:d6cd72648885a1995c2823733f2584f2
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