We are pleased to invite Dr Marianna Korsos from Aberystwyth University to talk about “Predicting Solar Flares with Machine Learning.” The event is on Monday 14 March 2022, starting at 18:30.
The event is online. It is free and open to everyone.
To book your free ticket, please go to the Eventbrite page.
Synopsis
Large flares and coronal mass ejections (CMEs) often result in dramatic consequences for the functioning of a wide range of ground-based (pipelines, power lines) and space-based infrastructures and services (satellites, GPS), as they may be seriously damaged. Therefore, the importance and needs of flare/CME forecasting is now rapidly increasing and approaches critical levels for the security of our technosphere.
First, I give a brief summary of how we could monitor the occurrence of solar flares and identify features that help predict this phenomenon. Being able to predict them in real-time is important because flares erupting on the Sun impact Earth over the course of minutes.
Nowadays, machine learning techniques provide a rapid, continuously updated overview of the state of the source region of flares, therefore, we also can get alert in real-time about an upcoming large flare/CME event. However, unfortunately, we cannot use machine learning techniques as a magic box in this research field, which we discuss and demonstrate through examples.
Biography
I have started my research career as an observing assistant at Debrecen Heliophysical Observatory, in Hungary. I moved to the UK when I had embarked, after a very short, 6-month, period of Research Assistant post, on my PhD studies at Sheffield in 2015.
After completing my PhD degree, I received my first 6-month long Postdoc position at the University of Sheffield. Next, I have started my new and more substantive Postdoc position at Aberystwyth University. Over the past few years, I have worked on developing a new and novel solar flare prediction method.