Projects per year
Abstract
Alfvén waves are known to be important carriers of magnetic energy that could play a role in coronal heating and/or solar wind acceleration. As these waves are efficient energy carriers, how they are dissipated still remains one of the key challenges. Using a series of 1.5D magnetohydrodynamic (MHD) simulations, we explore wave energy trapping associated with field-aligned density enhancements. We examine the parameters that govern the wave reflection and trapping. The goal of our simulations is to find optimal conditions for wave trapping, which would ultimately promote the energization of the solar atmosphere. In agreement with previous studies, we find that maximum wave reflections happen only for a narrow range of density enhancement widths, namely when it is comparable to the Alfvén wave wavelength. In our paper, we explain this scale-selectivity using a semi-analytical model that demonstrates the importance of wave interference effects. As expected, we find that spatially extended regions of density inhomogeneities favour enhanced wave reflection and trapping. However, wave interference causes saturation of the reflected energy for very extended regions of varying density.
| Original language | English |
|---|---|
| Pages (from-to) | 2843-2852 |
| Number of pages | 10 |
| Journal | Monthly Notices of the Royal Astronomical Society |
| Volume | 541 |
| Issue number | 4 |
| Early online date | 26 Jul 2025 |
| DOIs | |
| Publication status | Published - 1 Aug 2025 |
Keywords
- MHD
- Waves
- Sun: oscillations
- Solar wind
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Dive into the research topics of 'Alfvén wave propagation, reflection and trapping in the solar wind'. Together they form a unique fingerprint.Projects
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Joining up an Unprecedent View of our Su: Joining up an Unprecedent View of our Sun
De Moortel, I. (PI)
1/10/21 → 30/09/26
Project: Standard
Datasets
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Alfvén wave propagation, reflection and trapping in the solar wind (dataset)
Kumar, A. (Creator), Howson, T. (Creator), De Moortel, I. (Creator) & Pagano, P. (Creator), University of St Andrews, 19 Sept 2025
DOI: 10.17630/94256642-0367-42e4-ab09-d7806dce7bdf
Dataset
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