| Name | ctplanet JSON |
| Version |
0.2.4
JSON |
| download |
| home_page | |
| Summary | Create a crustal thickness map of a planet |
| upload_time | 2023-05-19 13:41:39 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | BSD-3-Clause |
| keywords |
crust
gravity
geophysics
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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No Travis.
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# ctplanet
Create crustal thickness maps of planets from gravity and topography.
## Description
ctplanet provides several functions and example scripts for generating crustal thickness maps of a planet from gravity and topography data, and the calculation of hydrostatic relief along density interfaces beneath the lithosphere.
### Methods
`pyMoho` Calculate relief using a constant density crust and
mantle.
`pyMohoRho` Calculate relief using a constant density mantle and a
variable density crust.
`HydrostaticShapeLith` Calculate the relief of hydrostatic interfaces beneath
the lithosphere along with the predicted gravity,
taking into account rotation and/or tides using the
approach of *Wieczorek et al.* (2019).
`HydrostaticShape` Calculate the relief of hydrostatic interfaces and
predicted gravity of a rotating hydrostatic planet
using the approach of *Wieczorek et al.* (2019).
`InertiaTensor_from_shape` Calculate the inertia tensor given a radial density
profile and shape of each interface.
`InertiaTensor_from_C` Calculate the inertia tensor given the polar moment
of inertia and the gravitational potential
coefficients.
`moi` Calculate the mean, normalized, moment of inertia
up to index n.
`ReadRefModel` Read the reference interior model file.
### Example scripts
`Moon-Crust` A script that demonstrates how to calculate the thickenss
of the lunar crust using either a constant or variable density
crust. The latter can be used to reproduce the results
presented in *Wieczorek et al.* (2013).
`Moon-Core` Calculate the hydrostatic relief of the lunar core accounting
for the non-hydrostatic potential that comes from the
lithosphere.
`Mars-Crust` A script that demonstrates how to calculate the thickenss
of the Martian crust using either a constant or variable
density crust. For the variable density crust, the density is
assumed to change discontinuously across the dichotomy
boundary.
`Mars-Crust-hydrostatic-tests` Create a crustal thickness map of Mars from
gravity and topography and compare how results
change if hydrostatic interfaces are not taken
into account.
`Mars-Crust-InSight` Create a crustal thickness map of Mars from gravity
and topography, using the InSight crustal thickness
constraint.
`Mars-Crust-InSight-dichotomy` Create a crustal thickness map of Mars from
gravity and topography, using the InSight
crustal thickness constraint and different
densities across the dichotomy boundary.
`Mars-fcn` Compute the free core nutation period of Mars.
`Mars-shape` Create images related to Mars in *Wieczorek et al.* (2019).
`Mars-j2` Compute the contribution to the gravitational J2 of Mars from
hydrostatic interfaces beneath the lithosphere.
`Earth-shape` Compute hydrostatic relief of Earth using PREM.
`Ceres-shape` Calculate the hydrostatic shape of Ceres.
## How to install and run ctplanet
Download the ctplanet repository and install using pip
```bash
git clone https://github.com/MarkWieczorek/ctplanet.git
pip install .
```
To execute a script
```bash
cd examples
python Moon-Crust.py
```
Depending on how your system is set up, it might be necessary to use explicitly `python3` and `pip3` instead of `python` and `pip` in the above commands.
## Reference
Wieczorek, M. A., G. A. Neumann, F. Nimmo, W. S. Kiefer, G. J. Taylor,
H. J. Melosh, R. J. Phillips, S. C. Solomon, J. C. Andrews-Hanna,
S. W. Asmar, A. S. Konopliv, F. G. Lemoine, D. E. Smith, M. M. Watkins,
J. G. Williams, M. T. Zuber (2013), The crust of the Moon as seen by GRAIL,
*Science*, 339, 671-675, doi:[10.1126/science.1231530](http://doi.org/10.1126/science.1231530).
Wieczorek, M. A., M. Beuthe, A. Rivoldini, and T. Van Hoolst (2019),
Hydrostatic interfaces in bodies with nonhydrostatic lithospheres,
*Journal of Geophysical Research: Planets*, 124, doi:[10.1029/2018JE005909](http://doi.org/10.1029/2018JE005909).
Raw data
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"description": "# ctplanet\nCreate crustal thickness maps of planets from gravity and topography.\n\n## Description\nctplanet provides several functions and example scripts for generating crustal thickness maps of a planet from gravity and topography data, and the calculation of hydrostatic relief along density interfaces beneath the lithosphere.\n\n### Methods\n`pyMoho` Calculate relief using a constant density crust and\n mantle.\n\n`pyMohoRho` Calculate relief using a constant density mantle and a\n variable density crust.\n\n`HydrostaticShapeLith` Calculate the relief of hydrostatic interfaces beneath\n the lithosphere along with the predicted gravity,\n taking into account rotation and/or tides using the\n approach of *Wieczorek et al.* (2019).\n\n`HydrostaticShape` Calculate the relief of hydrostatic interfaces and\n predicted gravity of a rotating hydrostatic planet\n using the approach of *Wieczorek et al.* (2019).\n\n\n`InertiaTensor_from_shape` Calculate the inertia tensor given a radial density\n profile and shape of each interface.\n\n`InertiaTensor_from_C` Calculate the inertia tensor given the polar moment\n of inertia and the gravitational potential\n coefficients.\n\n`moi` Calculate the mean, normalized, moment of inertia\n up to index n.\n\n\n`ReadRefModel` Read the reference interior model file.\n\n### Example scripts\n`Moon-Crust` A script that demonstrates how to calculate the thickenss\n of the lunar crust using either a constant or variable density\n crust. The latter can be used to reproduce the results\n presented in *Wieczorek et al.* (2013).\n\n`Moon-Core` Calculate the hydrostatic relief of the lunar core accounting\n for the non-hydrostatic potential that comes from the\n lithosphere.\n\n`Mars-Crust` A script that demonstrates how to calculate the thickenss\n of the Martian crust using either a constant or variable\n density crust. For the variable density crust, the density is\n assumed to change discontinuously across the dichotomy\n boundary.\n\n`Mars-Crust-hydrostatic-tests` Create a crustal thickness map of Mars from\n gravity and topography and compare how results\n change if hydrostatic interfaces are not taken\n into account.\n\n`Mars-Crust-InSight` Create a crustal thickness map of Mars from gravity\n and topography, using the InSight crustal thickness\n constraint.\n\n`Mars-Crust-InSight-dichotomy` Create a crustal thickness map of Mars from\n gravity and topography, using the InSight\n crustal thickness constraint and different\n densities across the dichotomy boundary.\n\n`Mars-fcn` Compute the free core nutation period of Mars.\n\n`Mars-shape` Create images related to Mars in *Wieczorek et al.* (2019).\n\n`Mars-j2` Compute the contribution to the gravitational J2 of Mars from\n hydrostatic interfaces beneath the lithosphere.\n\n`Earth-shape` Compute hydrostatic relief of Earth using PREM.\n\n`Ceres-shape` Calculate the hydrostatic shape of Ceres.\n\n## How to install and run ctplanet\n\nDownload the ctplanet repository and install using pip\n```bash\n git clone https://github.com/MarkWieczorek/ctplanet.git\n pip install .\n```\n\nTo execute a script\n```bash\n cd examples\n python Moon-Crust.py\n```\n\nDepending on how your system is set up, it might be necessary to use explicitly `python3` and `pip3` instead of `python` and `pip` in the above commands.\n\n## Reference\n\nWieczorek, M. A., G. A. Neumann, F. Nimmo, W. S. Kiefer, G. J. Taylor,\n H. J. Melosh, R. J. Phillips, S. C. Solomon, J. C. Andrews-Hanna,\n S. W. Asmar, A. S. Konopliv, F. G. Lemoine, D. E. Smith, M. M. Watkins,\n J. G. Williams, M. T. Zuber (2013), The crust of the Moon as seen by GRAIL,\n *Science*, 339, 671-675, doi:[10.1126/science.1231530](http://doi.org/10.1126/science.1231530).\n\nWieczorek, M. A., M. Beuthe, A. Rivoldini, and T. Van Hoolst (2019),\n Hydrostatic interfaces in bodies with nonhydrostatic lithospheres,\n *Journal of Geophysical Research: Planets*, 124, doi:[10.1029/2018JE005909](http://doi.org/10.1029/2018JE005909).\n",
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