Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
This is the v2.1.6 release of PyCBC.
The 2.1.x release line will be reserved for production PyCBC Live analyses throughout the first part of O4, and possibly for the entire run, depending on development activities over the next year. It should therefore only contain backports from the master branch related to PyCBC Live.
With respect to 2.1.5, 2.1.6 fixes a few bugs. The main functionality of the search is unchanged.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.1.6
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.1.6/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.1.5 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-el8:v2.1.6
This is the v2.3.6 release of PyCBC.
This will be used for internal LVK analyses, use 2.4.0 (or future releases) for non-specific work.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.3.6
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/software.igwn.org//pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.3.6/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.3.6 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-el8:v2.3.6
Full Changelog: https://github.com/gwastro/pycbc/compare/v2.3.5...v2.3.6
This is the v2.1.5 release of PyCBC.
The 2.1.x release line will be reserved for production PyCBC Live analyses throughout the first part of O4, and possibly for the entire run, depending on development activities over the next year. It should therefore only contain backports from the master branch related to PyCBC Live.
With respect to 2.1.4, 2.1.5 fixes a few bugs and improves the handling of localization-only detectors. The main functionality of the search is unchanged.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.1.5
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.1.5/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.1.5 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-el8:v2.1.5
This is the v2.3.5 release of PyCBC.
This will be used for internal LVK analyses, use 2.4.0 (or future releases) for non-specific work.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.3.5
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/software.igwn.org//pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.3.5/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.3.5 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-el8:v2.3.5
Full Changelog: https://github.com/gwastro/pycbc/compare/v2.3.4...v2.3.5
This is the v2.1.4 release of PyCBC.
The 2.1.x release line will be reserved for production PyCBC Live analyses throughout the first part of O4, and possibly for the entire run, depending on development activities over the next year. It should therefore only contain backports from the master branch related to PyCBC Live.
With respect to 2.1.3, 2.1.4 improves the single-detector trigger fitting algorithm and the SNR optimizer, enables the use of the PSD variation statistic in the ranking of candidates, and brings in a few recent changes that allow the GitHub CI test to pass on the release branch.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.1.4
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.1.4/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.1.4 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-el8:v2.1.4
This is the v2.3.4 release of PyCBC.
This will be used for internal LVK analyses, use 2.4.0 (or future releases) for non-specific work.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.3.4
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/software.igwn.org//pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.3.4/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.3.4 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-el8:v2.3.4
Full Changelog: https://github.com/gwastro/pycbc/compare/v2.3.3...v2.3.4
This is the v2.1.3 release of PyCBC.
The 2.1.x release line will be reserved for production PyCBC Live analyses throughout the first part of O4, and possibly for the entire run, depending on development activities over the next year. It should therefore only contain backports from the master branch related to PyCBC Live.
2.1.3 fixes several bugs and adds a few features, primarily an improved autogating procedure and the ability to select one or more interferometers as "followup detectors" which will be used for spatial localization but not for generating candidates.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.1.3
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.1.3/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.1.3 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-el8:v2.1.3
This is the v2.3.3 release of PyCBC.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.3.3
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/software.igwn.org//pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.3.3/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.3.3 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-el8:v2.3.3
This is the v2.3.2 release of PyCBC.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.3.2
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/software.igwn.org//pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.3.2/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.3.2 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-el8:v2.3.2
This is the v2.3.1 release of PyCBC.
A Docker container for this release is available from the pycbc/pycbc-el8 repository on Docker Hub and can be downloaded using the command:
docker pull pycbc/pycbc-el8:v2.3.1
On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 8 compatible operating systems by running the command:
source /cvmfs/software.igwn.org//pycbc/x86_64_rhel_8/virtualenv/pycbc-v2.3.1/bin/activate
A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el8:v2.3.1 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-el8:v2.3.1