Unresolved fine-scale structure in solar coronal loop-tops

Scullion, Eamon, van der Voort, Luc Rouppe, Wedemeyer, Sven and Antolin, Patrick (2014) Unresolved fine-scale structure in solar coronal loop-tops. The Astrophysical Journal, 797 (1). p. 36. ISSN 1538-4357

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Official URL: http://dx.doi.org/10.1088/0004-637X/797/1/36


New and advanced space-based observing facilities continue to lower the resolution limit and detect solar coronal loops in greater detail. We continue to discover even finer substructures within coronal loop cross-sections, in order to understand the nature of the solar corona. Here, we push this lower limit further to search for the finest coronal loop substructures, through taking advantage of the resolving power of the Swedish 1 m Solar Telescope/CRisp Imaging Spectro-Polarimeter (CRISP), together with co-observations from the Solar Dynamics Observatory/Atmospheric Image Assembly (AIA). High-resolution imaging of the chromospheric Hα 656.28 nm spectral line core and wings can, under certain circumstances, allow one to deduce the topology of the local magnetic environment of the solar atmosphere where its observed. Here, we study post-flare coronal loops, which become filled with evaporated chromosphere that rapidly condenses into chromospheric clumps of plasma (detectable in Hα) known as a coronal rain, to investigate their fine-scale structure. We identify, through analysis of three data sets, large-scale catastrophic cooling in coronal loop-tops and the existence of multi-thermal, multi-stranded substructures. Many cool strands even extend fully intact from loop-top to footpoint. We discover that coronal loop fine-scale strands can appear bunched with as many as eight parallel strands within an AIA coronal loop cross-section. The strand number density versus cross-sectional width distribution, as detected by CRISP within AIA-defined coronal loops, most likely peaks at well below 100 km, and currently, 69% of the substructure strands are statistically unresolved in AIA coronal loops.

Item Type: Article
Uncontrolled Keywords: methods: data analysis; methods: observational; techniques: image processing; techniques: spectroscopic; telescopes
Subjects: F500 Astronomy
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 12 Oct 2018 16:11
Last Modified: 10 Oct 2019 16:16
URI: http://nrl.northumbria.ac.uk/id/eprint/36330

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