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EFTofPNG: A package for high precision computation with the Effective Field Theory of Post-Newtonian Gravity

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Steinhoff,  Jan
Astrophysical and Cosmological Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

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1705.06309.pdf
(Preprint), 379KB

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Citation

Levi, M., & Steinhoff, J. (2017). EFTofPNG: A package for high precision computation with the Effective Field Theory of Post-Newtonian Gravity. Classical and quantum gravity, 34(24): 244001. doi:10.1088/1361-6382/aa941e.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-8CBB-B
Abstract
We present a new public package "EFTofPNG" for high precision computation in the effective field theory of post-Newtonian (PN) Gravity, including spins. We created this package in view of the timely need to publicly share automated computation tools, which integrate the various types of physics manifested in the expected increasing influx of gravitational wave (GW) data. Hence, we created a free and open source package, which is self-contained, modular, all-inclusive, and accessible to the classical Gravity community. The "EFTofPNG" Mathematica package also uses the power of the "xTensor" package, suited for complicate tensor computation, where our coding also strategically approaches the generic generation of Feynman contractions, which is universal to all perturbation theories in physics, by efficiently treating n-point functions as tensors of rank n. The package currently contains four independent units, which serve as subsidiaries to the main one. Its final unit serves as a pipeline chain for the obtainment of the final GW templates, and provides the full computation of all derivatives and gauge invariant physical observables of interest. The upcoming "EFTofPNG" package version 1.0 should cover the point mass sector, and all the spin sectors, up to the fourth PN order, and the two-loop level. We expect and strongly encourage public development of the package to improve its efficiency, and to extend it to further PN sectors, and observables useful for the waveform modeling.