ligo-cbc/pycbc: Post-O2 Release 7
Creators
- Alex Nitz1
- Ian Harry
- Duncan Brown2
- Christopher M. Biwer3
- Josh Willis4
- Tito Dal Canton
- Larne Pekowsky5
- Thomas Dent6
- Collin Capano7
- Andrew R. Williamson8
- Soumi De2
- Miriam Cabero
- Bernd Machenschalk
- Prayush Kumar9
- Steven Reyes
- Thomas Massinger
- Amber Lenon
- Stephen Fairhurst
- Alex Nielsen
- Duncan Macleod10
- shasvath
- Francesco Pannarale
- Leo Singer11
- Stanislav Babak12
- Hunter Gabbard13
- dfinstad
- John Veitch14
- 1. Albert Einstein Institute - Hannover
- 2. Syracuse University
- 3. Los Alamos National Laboratory
- 4. Caltech/LIGO
- 5. Syracuse University, Department of Physics
- 6. AEI
- 7. LIGO
- 8. Department of Astrophysics/IMAPP, Radboud University
- 9. Cornell University
- 10. Cardiff University
- 11. NASA Goddard Space Flight Center
- 12. Albert Einstein Institut
- 13. LIGO Scientific Collaboration
- 14. University of Glasgow
Description
This is the seventh 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/v1.9.2...v1.9.3
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:v1.9.3
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-v1.9.3/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-v1.9.3/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/v1.9.3/pycbc_inspiral
Files
ligo-cbc/pycbc-v1.9.3.zip
Files
(16.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:9e18919c061bf0207e05aa22efc713ab
|
16.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/ligo-cbc/pycbc/tree/v1.9.3 (URL)