Hveto is a package designed for gravitational-wave detector characterisation and data quality. The algorithm identifies statistically significant correlations between transient noise events (triggers) in instrumental or environmental data channels, and those in the calibrated gravitational-wave strain output. Hveto is a key tool in reducing the noise background in searches for transient gravitational-wave signals, and was used, for example, during the detection of the binary black hole signal GW150914.
For full details about the algorithm, please refer to Smith et al. 2011 (Classical and Quantum Gravity).
To get started, simply import the core module:
Hveto is best installed with conda:
conda install -c conda-forge hveto
but can also be installed with pip:
python -m pip install hveto
Note, users with
LIGO.ORG credentials have access to a software
container with a regularly-updated build of Hveto. For more
information please refer to the
LSCSoft Conda documentation.
See the contributions guide for the recommended procedure for proposing additions/changes.
The Hveto project is hosted on GitHub:
Issue tickets: https://github.com/gwdetchar/hveto/issues
Source code: https://github.com/gwdetchar/hveto
Hveto is distributed under the GNU General Public License.