Modeling of Earth's Magnetosphere Using Spacecraft Magnetometer Data
Documentation:
using Pkg; Pkg.add("TsyganenkoModels")
using TsyganenkoModels
using Dates
# Create model configurations
model_t89 = T89(2) # Kp level 2
param = (; pdyn=2.0, dst=-87.0, byimf=2.0, bzimf=-5.0)
# pdyn: Solar wind dynamic pressure [nPa]
# Calculate fields at position
t = DateTime("1970-01-01T00:01:40")
𝐫 = [1, 2, 3]
ps = -0.533585131 # dipole tilt angle [radians]
B_t89 = model_t89(𝐫, ps)
B_t96 = T96(param)(𝐫, ps)
B_t01 = T01(param)(𝐫, ps)
B_ts04 = TS04(param)(𝐫, ps)
# Using `TsyIGRF` to combine IGRF14 model and Tsyganenko model (default T89)
TsyIGRF()(𝐫, t)- Magnetic field model
- T89: A magnetospheric magnetic field model with a warped tail current sheet
- T96: Effects of the solar wind conditions on the global magnetospheric configuration
- T01/T02: A model of the near magnetosphere with a dawn-dusk asymmetry
- TS05/TS04: a dynamical empirical model of the inner storm-time magnetosphere
- TA15 model: A forecasting model of the magnetosphere driven by optimal solar-wind coupling functions
- TA16 model: An empirical RBF model of the magnetosphere parameterized by interplanetary and ground-based drivers
- Plasma model
- Tsyganenko and Mukai (2003): a simple analytical model of the central plasma sheet ion parameters (10 − 50 RE), based on Geotail data.
For Python users, see the wrapper in python/ (PyPI: tsyganenkomodels-jl).
- tsyganenko/empirical-models: original source of the Tsyganenko models in Fortran
- tsssss/geopack: Python version of geopack and Tsyganenko models
- IDL Geopack DLM
A Julia wrapper for geopack is available in the lib/Geopack.jl directory and can be installed with using Pkg; Pkg.develop(url="https://github.com/JuliaSpacePhysics/TsyganenkoModels.jl", subdir="lib/Geopack.jl"). It is mainly used for testing and benchmarking.
