gwastro/pycbc: PyCBC Release v1.16.0
Creators
- Alex Nitz1
- Ian Harry
- Duncan Brown2
- Christopher M. Biwer3
- Josh Willis4
- Tito Dal Canton
- Collin Capano5
- Larne Pekowsky6
- Thomas Dent7
- Andrew R. Williamson8
- Gareth S Davies
- Soumi De2
- Miriam Cabero
- Bernd Machenschalk
- Prayush Kumar9
- Steven Reyes
- Duncan Macleod10
- dfinstad
- Francesco Pannarale
- Thomas Massinger
- Márton Tápai
- Stephen Fairhurst
- Sebastian Khan11
- Sumit Kumar
- Leo Singer12
- Alex Nielsen
- shasvath
- Iain Dorrington
- Amber Lenon
- Hunter Gabbard13
- 1. Albert Einstein Institute - Hannover
- 2. Syracuse University
- 3. Los Alamos National Laboratory
- 4. Caltech/LIGO
- 5. Albert Einstein Institute
- 6. Syracuse University, Department of Physics
- 7. AEI
- 8. Institute of Cosmology and Gravitation, University of Portsmouth
- 9. Cornell University
- 10. @cardiffgravity
- 11. Cardiff Gravitational Waves Physics
- 12. NASA Goddard Space Flight Center
- 13. University of Glasgow
Description
This is the v1.16.0 release of PyCBC.
This release contains changes to the offline search analysis which make it incompatible with previous configurations of PyCBC, notably in the naming of ranking statistics.
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:v1.16.0
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-v1.16.0/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el7:v1.16.0
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\:v1.16.0
Files
gwastro/pycbc-v1.16.0.zip
Files
(17.2 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/gwastro/pycbc/tree/v1.16.0 (URL)