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Neural Networks for Operational SYM-H Forecasting Using Attention and SWICS Plasma Features

Muñoz, Pablo; Cid, Consuelo; Collado-Villaverde, Armando

In this work, we present an Artificial Neural Network for operational forecasting of the SYM-H geomagnetic index up to 2 hr ahead using the Interplanetary Magnetic Field, the solar wind plasma features and previous SYM-H values. Former works that forecast the SYM-H index use data measured by ACE, in particular from the MAG and SWEPAM instruments. …

A Surrogate Model for Studying Solar Energetic Particle Transport and the Seed Population

Schwadron, Nathan A.; Baydin, Atilim Guneş; Poduval, Bala

The high energy particles originating from the Sun, known as solar energetic particles (SEPs), contribute significantly to the space radiation environment, posing serious threats to astronauts and scientific instruments on board spacecraft. The mechanism that accelerates the SEPs to the observed energy ranges, their transport in the inner heliosph…