skip to navigation
skip to content

Not Logged In

gwsurrogate 0.2.1

an easy to use interface to gravitational wave surrogate models

Welcome to GWSurrogate!

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:

[1] Scott Field, Chad Galley, Jan Hesthaven, Jason Kaye, and Manuel Tiglio.
``Fast prediction and evaluation of gravitational waveforms using surrogate
models”, arXiv: gr-qc:1308.3565

If you find this package useful in your work, please cite reference [1] and,
if available, the relevant paper describing the specific surrogate used.

gwsurrogate is available at


gwsurrogate is a pure-Python module, thus installation is very easy.

From pip:

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

From source:

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

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

export PYTHONPATH=~absolute_path_to_gws_folder:$PYTHONPATH

For a "proper" installation into gws_folder run

>>> python install --prefix=absolute_path_to_gws_folder

and edit the PYTHONPATH environment variable as described above.

Getting Started

Please read the gwsurrogate docstring found in the file
or from ipython with

>>> import gwsurrogate as gws
>>> gws?

Additional examples can be found in the accompanying ipython notebooks.

NSF Support

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.

Planned Development

-- Surrogate-specific parametric fitting functions
-- Amplitude and phase based surrogates
-- More descriptive surrogate names: EOBNRv2_q1to2_sA_0to0_0to0_0to0_sB_0to0_0to0_0to0_SingleModes
-- Direct generation of multi-mode surrogates with tensor harmonic weighting
-- adherence to pep standards
-- log files for all downloaded surrogates, and tools for viewing them
-- parameter array inputs for generating multiple surrogate evaluations
File Type Py Version Uploaded on Size
gwsurrogate-0.2.1.tar.gz (md5) Source 2014-06-19 3MB
  • Downloads (All Versions):
  • 1 downloads in the last day
  • 16 downloads in the last week
  • 22 downloads in the last month