An easy to use interface to gravitational wave surrogate models
GWSurrogate is an easy to use interface to gravitational wave surrogate models.
Surrogates provide a fast and accurate evaluation mechanism for gravitational waveforms which would otherwise be found through solving differential equations. These equations must be solved in the “building” phase, which was performed using other codes. For details see:
 Scott Field, Chad Galley, Jan Hesthaven, Jason Kaye, and Manuel Tiglio. `”Fast prediction and evaluation of gravitational waveforms using surrogate models”. Phys. Rev. X 4, 031006 (2014). arXiv: gr-qc:1308.3565
If you find this package useful in your work, please cite reference  and, if available, the relevant paper describing the specific surrogate used.
gwsurrogate is available at https://pypi.python.org
gwsurrogate is a pure-Python module, thus installation is very easy.
The python package pip supports installing from PyPI (the Python Package Index). gwsurrogate can be installed to the standard location (e.g. /usr/local/lib/pythonX.X/dist-packages) with
>>> pip install gwsurrogate
Download and unpack gwsurrogate-X.X.tar.gz to any folder gws_folder of your choosing. The gwsurrogate module can be used immediately by adding
import sys sys.path.append('absolute_path_to_gws_folder')
at the beginning of any script/notebook which uses gwsurrogate.
Alternatively, if you are a bash or sh user, edit your .profile (or .bash_profile) file and add the line
For a “proper” installation into gws_folder run
>>> python setup.py install --prefix=absolute_path_to_gws_folder
and edit the PYTHONPATH environment variable as described above.
Please read the gwsurrogate docstring found in the init.py file or from ipython with
>>> import gwsurrogate as gws >>> gws?
Additional examples can be found in the accompanying ipython notebooks located in the ‘tutorial’ folder. To open a notebook, for example basics.ipynb, do
>>> ipython notebook basics.ipynb
from the directory ‘notebooks’
Surrogates can be downloaded directly from gwsurrogate. For download instructions see the basics.ipynb ipython notebook. Also visit the NR surrogate database.
If you have downloaded the entire project as a tar.gz file, from the top folder, do
This package is based upon work supported by the National Science Foundation under PHY-1316424 and PHY-1208861.
Any opinions, findings, and conclusions or recommendations expressed in gwsurrogate are those of the authors and do not necessarily reflect the views of the National Science Foundation.