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Merge pull request #57 from tomkimpson/tamasgal_comments
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tomkimpson authored Oct 4, 2023
2 parents 8adfb85 + 139844d commit 5473e4c
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11 changes: 11 additions & 0 deletions Project.toml
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Expand Up @@ -14,6 +14,17 @@ SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
Tullio = "bc48ee85-29a4-5162-ae0b-a64e1601d4bc"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
Combinatorics = "1"
DifferentialEquations = "7"
LaTeXStrings = "^1.3"
Parameters = "^0.12"
RecipesBase = "^1.3"
SciMLSensitivity = "7"
Tullio = "^0.3"
Zygote = "^0.6"
julia = "^1.6" # according to the CI

[extras]
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
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13 changes: 13 additions & 0 deletions docs/src/contributing.md
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# Contributing

We welcome any contributions to this package.

Some recommended areas are:

* Taking the [MPD Equations](MPD.md) beyond second order in the expansion.
* Extension to general spin supplementary conditions, beyond Tulczyjew-Dixon.
* Generalisation to arbitrary spacetime metrics, not just Kerr.
* Calculation of gravitational waveforms using e.g. [numerical kludge](https://arxiv.org/abs/gr-qc/0607007) approach (or other).
* Extension to hyperbolic systems, e.g. [Li et. al. 2021](https://arxiv.org/abs/2110.03494).

Contributions in other areas are also more than welcome - please just [open a pull request](https://github.com/tomkimpson/RelativisticDynamics.jl/pulls) .
2 changes: 2 additions & 0 deletions docs/src/index.md
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Expand Up @@ -47,6 +47,8 @@ For any questions or problems, please feel free to [open an issue](https://githu

Contributions are always welcome - just [open a pull request](https://github.com/tomkimpson/RelativisticDynamics.jl/pulls).

Some recommended areas to start contributing can be found on the [Contributing](contributing.md) page


## Acknowledgements
This work solving the MPD equations was originally motivated through interesting discussions with [Kinwah Wu](https://www.ucl.ac.uk/mssl/people/prof-kinwah-wu). The port to a modern, precision-flexible model in Julia was heavily inspired by [Milan Klöwer](https://github.com/milankl). Huge thanks to both.
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