Issue |
A&A
Volume 585, January 2016
|
|
---|---|---|
Article Number | L6 | |
Number of page(s) | 4 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201527835 | |
Published online | 12 January 2016 |
Damping profile of standing kink oscillations observed by SDO/AIA
1
Centre for Fusion, Space and Astrophysics, Department of Physics,
University of Warwick, CV4
7AL, UK
e-mail:
D.J.Pascoe@warwick.ac.uk
2
Institute of Solar-Terrestrial Physics,
Lermontov st. 126a,
664033
Irkutsk,
Russia
Received: 25 November 2015
Accepted: 18 December 2015
Aims. Strongly damped standing and propagating kink oscillations are observed in the solar corona. This can be understood in terms of mode coupling, which causes the wave energy to be converted from the bulk transverse oscillation to localised, unresolved azimuthal motions. The damping rate can provide information about the loop structure, and theory predicts two possible damping profiles.
Methods. We used the recently compiled catalogue of decaying standing kink oscillations of coronal loops to search for examples with high spatial and temporal resolution and sufficient signal quality to allow the damping profile to be examined. The location of the loop axis was tracked, detrended, and fitted with sinusoidal oscillations with Gaussian and exponential damping profiles.
Results. Using the highest quality data currently available, we find that for the majority of our cases a Gaussian profile describes the damping behaviour at least as well as an exponential profile, which is consistent with the recently developed theory for the damping profile due to mode coupling.
Key words: magnetohydrodynamics (MHD) / Sun: atmosphere / Sun: corona / Sun: magnetic fields / Sun: oscillations / waves
© ESO, 2016
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.