GRBoondi: A code for evolving Generalized Proca theories on arbitrary backgrounds
Abstract: While numerical simulations offer unparalleled precision and robustness in studying complex physical systems, their execution is often hindered by complexity, costliness, and time consumption due to the intricate equations involved. This challenge is already encountered in General Relativity, where non-flat spacetimes exacerbate the computational burden. This complexity is further intensified when dealing with additional degrees of freedom. To address this challenge head-on, we introduce GRBoondi, a groundbreaking fixed-background numerical relativity code designed to provide a unified interface for numerically solving Generalized Proca theories. GRBoondi grants users the ability to make arbitrary modifications to the Proca equations of motion on any background, providing a robust and versatile tool for exploring diverse classes of Generalized Proca theories. This letter serves as part of the submission of GRBoondi to the Journal of Open Source Software. For access to the code, please visit https://github.com/ShaunFell/GRBoondi.git.
- L. Heisenberg, Physics Reports 796, 1–113 (2019), arXiv: 1807.01725.
- L. Heisenberg, Journal of Cosmology and Astroparticle Physics 2014, 015–015 (2014), arXiv: 1402.7026.
- J. Beltran Jimenez and L. Heisenberg, Phys. Lett. B 757, 405 (2016), arXiv:1602.03410 [hep-th] .
- G. Tasinato, JHEP 04, 067 (2014), arXiv:1402.6450 [hep-th] .
- K. Aoki and M. Minamitsuji, arXiv (2022).
- A. Coates and F. M. Ramazanoğlu, Physical Review Letters 129 (2022a), 10.1103/physrevlett.129.151103.
- A. Coates and F. M. Ramazanoğlu, Phys. Rev. D 107, 104036 (2023).
- G. Gómez, Phys. Rev. D 107, 123535 (2023), arXiv:2202.07027 [gr-qc] .
- E. Gourgoulhon, 3+1 Formalism in General Relativity, Lecture notes in physics (Springer, New York, NY, 2012).
- M. Adams et al., (2015).
- S. Cupp et al., “The einstein toolkit,” (2023).
- Kranc, “Kranc: Kranc assembles numerical code,” .
- U. Sperhake, Phys. Rev. D 76, 104015 (2007), arXiv:gr-qc/0606079 .
- H. Witek, M. Zilhao, G. Bozzola, et al., “Canuda: a public numerical relativity library to probe fundamental physics,” (2021).
- N. Deppe, W. Throwe, L. E. Kidder, et al., “Spectre,” (2021).
- L. E. Kidder et al., J. Comput. Phys. 335, 84 (2017), arXiv:1609.00098 [astro-ph.HE] .
- C. Barrera-Hinojosa and B. Li, JCAP 01, 007 (2020), arXiv:1905.08890 [astro-ph.CO] .
- H. Childs, E. Brugger, B. Whitlock, et al., “High Performance Visualization–Enabling Extreme-Scale Scientific Insight,” (2012).
- A. Coates and F. M. Ramazanoğlu, “The intrinsic pathology of self-interacting vector fields,” (2022b), arXiv:2205.07784 [gr-qc] .
- J. D. Hunter, Computing in Science & Engineering 9, 90 (2007).
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.