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

Authors: Fell, Shaun David Brocus; Heisenberg, Lavinia;

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

Abstract

While numerical simulations offer unparalleled precision and robustness in studying complex phys- ical 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 in- tensified 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 pro- vide 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

If you plan to publish results that use this software, please cite it as below.

Related Organizations
Keywords

General Relativity, Proca, numerical relativity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average