Multi-scale statistical analysis of coronal solar activity
Multi-filter images from the solar corona are used to obtain temperature maps that are analyzed using techniques based on proper orthogonal decomposition (POD) in order to extract dynamical and structural information at various scales. Exploring active regions before and after a solar flare and comp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-07-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | http://www.nonlin-processes-geophys.net/23/175/2016/npg-23-175-2016.pdf |
| Summary: | Multi-filter images from the solar corona are used to obtain temperature maps
that are analyzed using techniques based on proper orthogonal decomposition
(POD) in order to extract dynamical and structural information at various
scales. Exploring active regions before and after a solar flare and comparing
them with quiet regions, we show that the multi-scale behavior presents
distinct statistical properties for each case that can be used to
characterize the level of activity in a region. Information about the nature
of heat transport is also to be extracted from the analysis. |
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| ISSN: | 1023-5809 1607-7946 |