Heliophysics & Space Weather USACH

We investigate Van Allen radiation belt physics, solar wind-magnetosphere coupling, and develop machine learning models for space weather prediction and geoeffectiveness.

12+Active Projects
29Peer-reviewed Papers
10+Students Trained
4Countries Collaborating

Research Lines

Magnetospheric physics, space weather, and data science applications.

Space Physics

Van Allen Radiation Belts

Relativistic electron dynamics: enhancement and dropout events, ultrarelativistic remnant belts, and radiation belt response to geomagnetic storms.

Space Physics

ULF Waves & Space Weather

Wave-particle interactions, magnetospheric turbulence, solar wind-magnetosphere coupling, and effects on satellites and ground infrastructure.

Data Science

Machine Learning for Space Weather

Prediction of ground magnetic perturbations, geomagnetically induced currents (GIC), and real-time forecasting models using deep learning.

Research Infrastructure

Visualization of Earth's radiation belts

Chilean Space Weather Platform

We are developing Chile's first national pilot platform for real-time space weather monitoring and early warnings (FONDEF IDEA).

  • Real-time monitoring: Solar wind data, magnetic fields, and particles in Earth's magnetosphere.
  • Deep learning models: Magnetic perturbation forecasting and GIC risk prediction using neural networks.
  • HPC Platform: High-performance computing for simulations and numerical modeling (FONDEQUIP).
View infrastructure

Contact

Reach out for collaborations, internships, press inquiries, or academic questions.

Dr. Victor A. Pinto — Principal Investigator

Department of Physics, Universidad de Santiago de Chile (USACH)

Email: victor.pinto@usach.cl

Phone: +56 9 9596 1752

Follow us:@helio.usach (IG) ·@vpintoa (X) ·GitHub