PyTransport: A Python package for the calculation of inflationary correlation functions. Mulryne, D. J. 2016. PyTransport website: https://transportmethod.com/
PyTransport: A Python package for the calculation of inflationary correlation functions [link]Paper  abstract   bibtex   
PyTransport constitutes a straightforward code written in C++ together with Python scripts which automatically edit, compile and run the C++ code as a Python module. It has been written for Unix-like systems (OS X and Linux). Primarily the module employs the transport approach to inflationary cosmology to calculate the tree-level power-spectrum and bispectrum of user specified models of multi-field inflation, accounting for all sub and super-horizon effects. The transport method we utilise means only coupled differential equations need to be solved, and the implementation presented here combines the speed of C++ with the functionality and convenience of Python. At present the code is restricted to canonical models. This document details the code and illustrates how to use it with a worked example.
@article{mulryne_pytransport_2016,
	title = {{PyTransport}: {A} {Python} package for the calculation of inflationary correlation functions},
	url = {http://arxiv.org/abs/1609.00381},
	abstract = {PyTransport constitutes a straightforward code written in C++ together with Python scripts which automatically edit, compile and run the C++ code as a Python module. It has been written for Unix-like systems (OS X and Linux). Primarily the module employs the transport approach to inflationary cosmology to calculate the tree-level power-spectrum and bispectrum of user specified models of multi-field inflation, accounting for all sub and super-horizon effects. The transport method we utilise means only coupled differential equations need to be solved, and the implementation presented here combines the speed of C++ with the functionality and convenience of Python. At present the code is restricted to canonical models. This document details the code and illustrates how to use it with a worked example.},
	author = {Mulryne, David J.},
	year = {2016},
	note = {PyTransport website: https://transportmethod.com/},
	keywords = {Cosmology, astrophysics, uses sympy},
	pages = {21},
}
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