GRBoondi: A code for evolving Generalized Proca theories on arbitrary backgrounds

Gnuplot Python C++ Submitted 07 May 2024Published 07 November 2024
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Editor: @xuanxu (all papers)
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Authors

Shaun David Brocus Fell (0000-0002-8059-0359), Lavinia Heisenberg (0000-0002-5766-8242)

Citation

Fell et al., (2024). GRBoondi: A code for evolving Generalized Proca theories on arbitrary backgrounds. Journal of Open Source Software, 9(103), 6888, https://doi.org/10.21105/joss.06888

@article{Fell2024, doi = {10.21105/joss.06888}, url = {https://doi.org/10.21105/joss.06888}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {103}, pages = {6888}, author = {Shaun David Brocus Fell and Lavinia Heisenberg}, title = {GRBoondi: A code for evolving Generalized Proca theories on arbitrary backgrounds}, journal = {Journal of Open Source Software} }
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MPI OpenMP vector intrinsics Generalized Proca gravity general relativity numerical relativity adaptive refinement

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ISSN 2475-9066