Sausage, kink, and fluting MHD wave modes identified in solar magnetic pores by Solar Orbiter/PHI
S. Jafarzadeh, L.A.C. Schiavo, V. Fedun, S.K. Solanki, M. Stangalini,, D. Calchetti, G. Verth, D.B. Jess, S.D.T. Grant, I. Ballai, R. Gafeira, P.H., Keys, B. Fleck, R.J. Morton, P.K. Browning, S.A. Silva, T. Appourchaux, A., Gandorfer, L. Gizon, J. Hirzberger, F. Kahil

TL;DR
This study uses high-quality Solar Orbiter/PHI data to identify multiple MHD wave modes, including sausage, kink, and fluting, in solar magnetic pores, revealing their energy contributions and advancing understanding of wave dynamics in small-scale solar magnetic features.
Contribution
First-time identification of concurrent sausage, kink, and fluting MHD wave modes in solar magnetic pores using novel analysis techniques on space-based observations.
Findings
Identified multiple MHD wave modes in solar pores.
Quantified energy contributions of each wave mode.
Demonstrated the effectiveness of POD techniques in wave analysis.
Abstract
Solar pores are intense concentrations of magnetic flux that emerge through the Sun's photosphere. When compared to sunspots, they are much smaller in diameter and hence can be impacted and buffeted by neighbouring granular activity to generate significant magnetohydrodynamic (MHD) wave energy flux within their confines. However, observations of solar pores from ground-based telescope facilities may struggle to capture subtle motions synonymous with higher-order MHD wave signatures due to seeing effects produced in the Earth's atmosphere. Hence, we have exploited timely seeing-free and high-quality observations of four small magnetic pores from the Polarimetric and Helioseismic Imager (PHI) on board the Solar Orbiter spacecraft. Through acquisition of data under stable observing conditions, we have been able to measure the area fluctuations and horizontal displacements of the solar…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
