Space Weather and Heliophysics Modelling Workshop

Opportunities for utilization of Vigil-like data and deep learning approach

Not scheduled

15m

ESOC Press Centre

In-person oral presentation

Speaker

Simon Mackovjak (Institute of Experimental Physics, Slovak Academy of Sciences)

Description

In this contribution, we will present two machine learning models that employ measurements from already-operated space instruments analogous to those Vigil will have on board (Majirsky et al., 2025a). The first model predicts the occurrence of geomagnetic storms by combining coronagraph images and in situ solar wind and IMF data (Majirsky et al., 2025b). The second model classifies in situ data to provide early detection of CIRs at L5. The details of these models will be presented, and opportunities for follow-up activities to develop operational solutions for the ESA mission Vigil will be discussed.