Feedstock license: BSD-3-Clause
Home: https://gitlab.com/gwburst/public/library
Package license: GPL-3.0-or-later
Summary: cWB pipeline library
Coherent network analysis is addressing the problem of detection and reconstruction of gravitational waves (GW) with networks of detectors. It has been extensively studied in the literature in application to detection of bursts signals, which may be produced by numerous gravitational wave sources in the Universe. In coherent methods, a statistic is built up as a coherent sum over detector responses. In general, it is expected to be more optimal (better sensitivity at the same false alarm rate) than the detection statistics of the individual detectors that make up the network. Also coherent methods provide estimators for the GW waveforms and the source coordinates in the sky.
The method we present (called coherent WaveBurst) is significantly different from the traditional burst detection methods. Unlike coincident methods, which first identify events in individual detectors by using an excess power statistic and than require coincidence between detectors, the coherent WaveBurst method combines all data streams into one coherent statistic constructed in the framework of the constrained maximum likelihood analysis. Such an approach has significant advantages over the coincident methods. First, the sensitivity of the method is not limited by the least sensitive detector in the network. In the coherent WaveBurst method the detection is based on the maximum likelihood ratio statistic which represents the total signal-to-noise ratio of the GW signal detected in the network. Second, other coherent statistics, such as the null stream and the network correlation coefficient can be constructed to distinguish genuine GW signals from the environmental and instrumental artifacts. Finally, the source coordinates of the GW waveforms can be reconstructed.
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Installing cwb from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge
conda config --set channel_priority strict
Once the conda-forge channel has been enabled, cwb can be installed with conda:
conda install cwb
or with mamba:
mamba install cwb
It is possible to list all of the versions of cwb available on your platform with conda:
conda search cwb --channel conda-forge
or with mamba:
mamba search cwb --channel conda-forge
Alternatively, mamba repoquery may provide more information:
# Search all versions available on your platform:
mamba repoquery search cwb --channel conda-forge
# List packages depending on `cwb`:
mamba repoquery whoneeds cwb --channel conda-forge
# List dependencies of `cwb`:
mamba repoquery depends cwb --channel conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance
conda-smithy has been developed.
Using the conda-forge.yml within this repository, it is possible to re-render all of
this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.
For more information please check the conda-forge documentation.
feedstock - the conda recipe (raw material), supporting scripts and CI configuration.
conda-smithy - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI .yml files
and simplify the management of many feedstocks.
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If you would like to improve the cwb recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
conda-forge channel, whereupon the built conda packages will be available for
everybody to install and use from the conda-forge channel.
Note that all branches in the conda-forge/cwb-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
the
build/number. - If the version of a package is being increased, please remember to return
the
build/numberback to 0.
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