GENET

GENET is a global machine learning model of the near-Earth electron environment.

The model is a neural network that can reconstruct pitch-angle distributions of 0.1–100 keV electron fluxes at distances within ~20 Earth radii. Trained on Cluster observations.

Installation

pip install genet-py

You need a valid SuperMAG account to download the SME index.

Usage

Inputs

• time: UTC datetime
• coords_gsm: position in GSM coordinates, in Earth radii (RE)
• energy: electron energy in keV, from 0.1 to 80
• pitch_angle: pitch angle in degrees
• percentile: predicted flux percentile, one of 5, 25, 50, 75, 95. The default is 50 (median).

Each input parameter can be either a single value or a list of values.

Output

• Electron flux in 1 / (cm2 s sr keV)

Example

from genet import GENET
from datetime import datetime

genet = GENET(supermag_username="your_supermag_username")

flux = genet.predict(
    time=datetime(2015, 3, 17),  # UTC
    coords_gsm=(6.6, 0, 0),      # GSM coordinates in RE
    energy=50,                   # Energy in keV
    pitch_angle=90,              # Pitch angle in degrees
    percentile=50                # 5, 25, 50, 75, or 95
)

# Flux in 1 / (cm2 s sr keV)
print(flux)