redplanet 1.0.0

Description:

redplanet 1.0.0

RedPlanet
RedPlanet is a Python package that gives an easy way to work with various Mars datasets. With straightforward methods and high customizability, you can either create publication-ready plots on the fly, or access the underlying data for more involved calculations.
Usage:
Install with pip install redplanet.
GRS
Access/visualize chemical abundance maps derived from the 2001 Mars Odyssey Gamma Ray Spectrometer. The original data is defined in 5 degree bins, but this module allows you to programmatically estimate values at exact coordinates by interpolating between points. Concentrations can be extracted for both the shallow subsurface (raw data) and bulk crustal composition (normalized to volatile-free basis, i.e. zero H2O/Cl/Si).
 

Example 1: Iron concentrations in Arabia Terra. Data is normalized to a volatile-free basis (H2O/Cl/Si free), so it is representative of the bulk crustal composition rather than shallow subsurface.







Recreate with:
from redplanet import GRS
GRS.visualize(
element_name='fe',
normalize=True,
lon_bounds=(5,40),
lat_bounds=(-10,30),
grid_spacing=0.1,
overlay=True
)

 

Crust
Access/visualize maps of topography, Moho, crustal thickness, and crustal density from spherical harmonics. We offer ~22,000 models of the crust-mantle interface parameterized by reference interior models, crustal thickness at the InSight landing, and homogeneous/inhomogeneous crustal densities across the dichotomy.
 

Example 1: Topography, Moho, and crustal thickness of the Valles Marineris region. Model parameters are 41 km crustal thickness at the InSight landing, 2,900 kg/m^3 crustal density in the North, and 2,700 kg/m^3 crustal density in the South.







Recreate with:
from redplanet import Crust
lons = (-100,-20)
lats = (-60,40)
Crust.load_model(RIM='Khan2022', insight_thickness=41, rho_north=2900, rho_south=2700)
Crust.visualize(quantity='topo', lon_bounds=lons, lat_bounds=lats, grid_spacing=0.1)
Crust.visualize(quantity='moho', lon_bounds=lons, lat_bounds=lats, overlay=True, grid_spacing=0.3)
Crust.visualize(quantity='thick', lon_bounds=lons, lat_bounds=lats, overlay=True, grid_spacing=0.3)

 

Example 2: Crustal thickness profile of Henry Crater with various crust-mantle interface models.







Recreate with: See section 2.2 in demo.ipynb.
 

Documentation

For a more in-depth tutorial in interactive notebook format, see demo.ipynb.
 

Links

Don't hesitate to reach out: [email protected]
Acknowledgements: docs/thanks.txt
References: docs/references.txt
Other work: github.com/Humboldt-Penguin