Issue |
A&A
Volume 634, February 2020
|
|
---|---|---|
Article Number | A54 | |
Number of page(s) | 16 | |
Section | The Sun | |
DOI | https://doi.org/10.1051/0004-6361/201935872 | |
Published online | 06 February 2020 |
Spectroscopic detection of coronal plasma flows in loops undergoing thermal non-equilibrium cycles⋆
1
Institut d’Astrophysique Spatiale, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Bât. 121, 91405 Orsay Cedex, France
e-mail: gabriel.pelouze@kuleuven.be
2
Rosseland Centre for Solar Physics, University of Oslo, PO Box 1029, Blindern 0315, Oslo, Norway
3
Institute of Theoretical Astrophysics, University of Oslo, PO Box 1029, Blindern 0315, Oslo, Norway
4
Institute of Applied Computing & Community Code, Universitat de les Illes Balears, 07122 Palma de Mallorca, Spain
Received:
12
May
2019
Accepted:
5
December
2019
Context. Long-period intensity pulsations were recently detected in the EUV emission of coronal loops and attributed to cycles of plasma evaporation and condensation driven by thermal non-equilibrium (TNE). Numerical simulations that reproduce this phenomenon also predict the formation of periodic flows of plasma at coronal temperatures along some of the pulsating loops.
Aims. We aim to detect these predicted flows of coronal-temperature plasma in pulsating loops.
Methods. We used time series of spatially resolved spectra from the EUV imaging spectrometer (EIS) onboard Hinode and tracked the evolution of the Doppler velocity in loops in which intensity pulsations have previously been detected in images of SDO/AIA.
Results. We measured signatures of flows that are compatible with the simulations but only for a fraction of the observed events. We demonstrate that this low detection rate can be explained by line of sight ambiguities combined with instrumental limitations, such as low signal-to-noise ratio or insufficient cadence.
Key words: Sun: corona / Sun: oscillations / Sun: UV radiation / techniques: spectroscopic
Movies associated to Figs. 1, 4, 7, 10 are available at https://www.aanda.org
© G. Pelouze et al. 2020
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.