Multi-scale statistical analysis of coronal solar activity

Gamborino, Diana; del-Castillo-Negrete, Diego; Martinell, Julio J.

doi:10.5194/npg-23-175-2016

Title: Multi-scale statistical analysis of coronal solar activity

Journal Article · Fri Jul 08 00:00:00 EDT 2016 · Nonlinear Processes in Geophysics (Online)

DOI:https://doi.org/10.5194/npg-23-175-2016· OSTI ID:1260986

Gamborino, Diana; del-Castillo-Negrete, Diego; Martinell, Julio J.

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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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1260986

Alternate ID(s):: OSTI ID: 1333063

Journal Information:: Nonlinear Processes in Geophysics (Online), Journal Name: Nonlinear Processes in Geophysics (Online) Vol. 23 Journal Issue: 4; ISSN 1607-7946

Publisher:: Copernicus Publications, EGUCopyright Statement

Country of Publication:: Germany

Language:: English

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58 GEOSCIENCES
temperature maps
solar flare
heat transport

Title: Multi-scale statistical analysis of coronal solar activity

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