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RoryBarnes authored May 19, 2019
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Expand Up @@ -41,7 +41,7 @@ undergoing plate tectonics or stagnant lid evolution.

`VPLanet` is a community project. We're happy to take pull requests; if you want to create one, please issue it to the *dev* branch. Soon we will include tutorials on adding new input options, governing variables, and modules. It's a platform for planetary science that can grow exponentially, either by adding new physics or by adding competing models for clean comparisons.

The [examples/](examples) directory contains input files and scripts for generating the figures in Barnes et al. (2019) and all subsequent module descriptions. The [Manual/](Manual) directory contains the pdf of Barnes et al. (2019), which describes the physics of each module, validates each module against observations or past results, and uses figures from the [examples/](examples) directory.
The [examples/](examples) directory contains input files and scripts for generating the figures in [Barnes et al. (2019)](https://arxiv.org/abs/1905.06367) and all subsequent module descriptions. The [Manual/](Manual) directory contains the pdf of [Barnes et al. (2019)](https://arxiv.org/abs/1905.06367), which describes the physics of each module, validates each module against observations or past results, and uses figures from the [examples/](examples) directory.

An ecosystem of support software is also publicly available. In this repo, [vspace/](vspace) contains scripts to generate input files for a parameter space sweep. [bigplanet/](bigplanet) contains scripts to store large datasets in HDF5 format and quickly calculate summary properties from an integration, like change in surface temperature. In a separate repository is [vplot](https://github.com/VirtualPlanetaryLaboratory/vplot), which consists of both a command line tool to quickly plot the evolution of a system, and also matplotlib functions to more easily generate publication-worthy figures. Finally, we recommend using [approxposterior](https://github.com/dflemin3/approxposterior) to quickly obtain posterior distributions of model parameters.

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If you'd like to stay up to date on `VPLanet` by joining the e-mail list, please send a request to Rory Barnes, [email protected].

Finally, if you use this code to generate results used in any publication or conference contribution, please cite [Barnes, R. et al. (2019), PASP, submitted](https://arxiv.org/abs/1905.06367).

`VPLanet` development has been supported by NASA grants NNA13AA93A, NNX15AN35G, and 13-13NAI7_0024. We also acknowledge support from the University of Washington and the Carnegie Institute for Science.

Enjoy!

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