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An easy to use interface to gravitational wave surrogate models

Project description

# 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". Phys. Rev. X 4, 031006 (2014). 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

# Installation #

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

## Dependency ##

gwsurrogate requires gwtools. If you are installing gwsurrogate with pip you
will automatically get gwtools. If you are installing gwsurrogate from
source, please see

## 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

>>> python install # option 1
>>> pip install -e gwsurrogate # option 2

where the "-e" installs an editable (development) project with pip. This allows
your local code edits to be automatically seen by the system-wide installation.

# 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 Jupyter notebooks
located in the 'tutorial' folder. To open a notebook, for example
basics.ipynb, do

>>> jupyter notebook basics.ipynb
from the directory 'notebooks'

# Where to find surrogates? #

Surrogates can be downloaded directly from gwsurrogate. For download
instructions, see the basics.ipynb Jupyter notebook.

# Tests #

If you have downloaded the entire project as a tar.gz file, its a good idea
to run some regression tests.

>>> py.test # run from the top folder (not the test folder)

Note that if you are running the model regression test, regression
data must be generated locally on your machine:

>>> cd test
>>> python

# 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.

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