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@@ -11,10 +12,14 @@ Planetary crustal thickness, displacement, stress, and strain calculations in sp
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These functions solve the [Banerdt (1986)](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/JB091iB01p00403) system of equations under different assumptions. Various improvements have been made to the model including the possibility to account for finite-amplitude correction and filtering [(Wieczorek & Phillips, 1998)](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/97JE03136), lateral density variations at any arbitrary depth and within the surface or moho-relief [(Wieczorek et al., 2013)](https://science.sciencemag.org/content/early/2012/12/04/science.1231530?versioned=true), and density difference between the surface topography and crust [(Broquet & Wieczorek, 2019)](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JE005959).
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### Comments
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#### Dependencies
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We note that some of these functions rely heavily on the [pyshtools](https://shtools.github.io/SHTOOLS/) package of [Wieczorek & Meschede (2018)](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GC007529) that is used to perform the spherical harmonic transforms, Legendre polynomial expansions, and finite-amplitude calculations.
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#### Contribute
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This code is still under development and benchmarking. If you find any bugs or errors in the code, please report them in GitHub or to adrien.broquet at oca.eu.
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For this code, we work on the develop branch and merge it to the main branch (with a new version number) everytime significant addtions/improvements are made. If you plan on making contributions, please base everything on the develop branch.
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### Benchmarks
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Moho-relief calculations have been benchmarked to the [ctplanet](https://github.com/MarkWieczorek/ctplanet) package of Mark Wieczorek.
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Displacement calculations have been benchmarked to the analytical model of [Broquet & Wieczorek (2019)](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JE005959).
@@ -64,13 +69,12 @@ Alternatively, you can install Displacement-strain-planet via pip
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