Skip to content
/ radbelt Public
forked from nasa/radbelt

radbelt: An Astropy-friendly wrapper for the AE-8/AP-8 Van Allen belt model

License

Notifications You must be signed in to change notification settings

xawpaw/radbelt

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

radbelt: An Astropy-friendly wrapper for the AE-8/AP-8 Van Allen belt model

This is small Python library to model the fluxes of charged particles trapped in the Van Allen belt. It provides a fast, simple, and convenient Python interface to the International Geomagnetic Reference Field (IGRF) model and NASA's AE-8/AP-8 models of electron and proton fluxes, which are both implemented in Fortran. The package is integrated with the Astropy ecosystem for easy conversion of coordinate systems, time scales, and units. With this package, it is easy and fast to determine the flux of particles above any given energy, at any position, at any time.

Acknowledging radbelt

This package is wraps the following Fortran codes, which have been retrieved from NASA Goddard Space Flight Center's (GSFC) Community Coordinated Modeling Center (CCMC):

When publishing results derived from this Python package, please cite the following articles:

To install

$ pip install .

Example

>>> from radbelt import get_flux
>>> from astropy import units as u
>>> from astropy.coordinates import EarthLocation
>>> from astropy.time import Time
>>> coords = EarthLocation(-45 * u.deg, -30 * u.deg, 500 * u.km)
>>> time = Time('2021-03-01')
>>> energy = 20 * u.MeV
>>> get_flux(coords, time, energy, 'p', 'max')  # doctest: +FLOAT_CMP
<Quantity 2642.50268555 1 / (s cm2)>

Known issues

  • The CCMC IGRF code has spatially varying errors of a few percent, which will result in a striped pattern in the resulting particle flux.

About

radbelt: An Astropy-friendly wrapper for the AE-8/AP-8 Van Allen belt model

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 43.7%
  • Meson 33.0%
  • Fortran 23.3%