gwbench 0.7.5

A Python package for gravitational-wave benchmarking, particularly with Fisher information matrices.

gwbench

Acknowledgment

We request that any academic report, publication, or other academic disclosure of results derived from the use of this software acknowledge the use of the software by an appropriate acknowledgment or citation.

The gwbench software can be cited from arXiv:2010.15202, with INSPIRE BibTeX entry:

@article{Borhanian:2020ypi,
    author = "Borhanian, Ssohrab",
    title = "{gwbench: a novel Fisher information package for gravitational-wave benchmarking}",
    eprint = "2010.15202",
    archivePrefix = "arXiv",
    primaryClass = "gr-qc",
    month = "10",
    year = "2020"
}

Installation via pip

pip install gwbench

Installation from source

Clone the gwbench repository and enter it

Clone this repository and follow the next steps.

git clone https://gitlab.com/sborhanian/gwbench.git
cd gwbench

Using conda

Source Oasis Conda - do this first; only on LIGO clusters needed

source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh  
which conda

The last line should print /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/condabin/conda or similar.

Setup conda virtual environment

conda create -y --name gwbench python=3.7  
conda activate gwbench  
conda install -y -c conda-forge --file requirements_conda.txt  

Using python -m venv and pip

Replace ~/gwbench with the appropriate path of choice in the following instructions:

python3 -m venv ~/gwbench
source ~/gwbench/bin/activate
pip install -r requirements_pip.txt

Using pip or conda

Install while the virtual environment is active:

pip install .

Uninstall

pip uninstall gwbench

Test

cd example_scripts  
python quick_start.py