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...

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Main Authors: D. Gamborino, D. del-Castillo-Negrete, J. J. Martinell
Format: Article
Language:English
Published: Copernicus Publications 2016-07-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/23/175/2016/npg-23-175-2016.pdf
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spelling doaj-925ccd2e2e724fd3b47c0de1e4577b062020-11-24T21:15:25ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462016-07-0123417518810.5194/npg-23-175-2016Multi-scale statistical analysis of coronal solar activityD. Gamborino0D. del-Castillo-Negrete1J. J. Martinell2Instituto de Ciencias Nucleares, UNAM, A. Postal 70-543, México D. F., MexicoOak Ridge National Laboratory, Oak Ridge, TN 37831, USAInstituto de Ciencias Nucleares, UNAM, A. Postal 70-543, México D. F., MexicoMulti-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.http://www.nonlin-processes-geophys.net/23/175/2016/npg-23-175-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Gamborino
D. del-Castillo-Negrete
J. J. Martinell
spellingShingle D. Gamborino
D. del-Castillo-Negrete
J. J. Martinell
Multi-scale statistical analysis of coronal solar activity
Nonlinear Processes in Geophysics
author_facet D. Gamborino
D. del-Castillo-Negrete
J. J. Martinell
author_sort D. Gamborino
title Multi-scale statistical analysis of coronal solar activity
title_short Multi-scale statistical analysis of coronal solar activity
title_full Multi-scale statistical analysis of coronal solar activity
title_fullStr Multi-scale statistical analysis of coronal solar activity
title_full_unstemmed Multi-scale statistical analysis of coronal solar activity
title_sort multi-scale statistical analysis of coronal solar activity
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2016-07-01
description 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.
url http://www.nonlin-processes-geophys.net/23/175/2016/npg-23-175-2016.pdf
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