Marianna Brigitta Korsós

research fellow

PhD (Eötvös Loránd University, Budapest, 2020)

Room(s): Lágymányos Campus, Northern Building 6.119
Email: uh.etle.tneduts@ibamok

Biography:

I am a solar physicist with expertise in solar magnetic activity and the prediction of solar eruptions. My research focuses on understanding the dynamics of the source regions of major solar eruptions—specifically solar active regions—and on advancing forecasting capabilities. I work at the intersection of observational data and artificial intelligence, integrating multi-wavelength solar observations with physical modeling techniques such as magnetic field extrapolations and magnetic topology analysis.

I am particularly focused on bridging short- and medium-term solar flare prediction in order to improve the accuracy and lead time of solar eruption warnings—an increasingly critical need in our technology-dependent society.

Beyond my scientific work, I am dedicated to science outreach and public engagement, actively sharing knowledge about space weather and solar physics through public talks, educational initiatives, and social media platforms.

Links to associated scientific database profiles:

Publications in MTMT
Publications in ORCID
Publications in Google Scholar

Selected publications of recent years:

Korsós, M. B., Jarolim, R., Veronig, A. M., Erdélyi, R, Morgan, H., Zuccarello, F.,: First insights into the applicability and importance of different 3D magnetic field extrapolation approaches for studying the pre-eruptive conditions of solar active regions, ApJ, 962, 171, (2024)
Korsós, M. B., Dikpati, M., Liu, J., Erdélyi, R., Zuccarello, F.,: On the connection between Rieger-type and magneto-Rossby waves driving the frequency of the large solar eruptions during Solar Cycles 19 - 25, ApJ, 944, 2, 180, (2023)
Korsós, M. B., Erdélyi, R., Huang, X., Morgan, H.,: Atmospheric oscillatory behaviour of the magnetic helicity fluxes in flaring and non-flaring ARs, ApJ, 933, 66 (2022)
Korsós, M. B., Erdélyi, R., Liu, J., Morgan, H.,: Testing and Validating Two Morphological Flare Predictors by Logistic Regression Machine Learning, Frontiers Astron. Space Sci., 7, 571186 (2021)
Korsós, M. B., Georgoulis, M.K., Gyenge, N., Bisoi, S.K., Yu, S., Poedts, S., Nelson, C.J., Liu, J., Yan, Y., Erdélyi, R: Solar Flare Prediction Using Magnetic Field Diagnostics Above the Photosphere, Astrophys. J., 896, 2 (2020)