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Title: Multi-scale statistical analysis of coronal solar activity

Abstract

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.

Authors:
; ;
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1260986
Alternate Identifier(s):
OSTI ID: 1333063
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Published Article
Journal Name:
Nonlinear Processes in Geophysics (Online)
Additional Journal Information:
Journal Name: Nonlinear Processes in Geophysics (Online) Journal Volume: 23 Journal Issue: 4; Journal ID: ISSN 1607-7946
Publisher:
Copernicus Publications, EGU
Country of Publication:
Germany
Language:
English
Subject:
58 GEOSCIENCES; temperature maps; solar flare; heat transport

Citation Formats

Gamborino, Diana, del-Castillo-Negrete, Diego, and Martinell, Julio J. Multi-scale statistical analysis of coronal solar activity. Germany: N. p., 2016. Web. https://doi.org/10.5194/npg-23-175-2016.
Gamborino, Diana, del-Castillo-Negrete, Diego, & Martinell, Julio J. Multi-scale statistical analysis of coronal solar activity. Germany. https://doi.org/10.5194/npg-23-175-2016
Gamborino, Diana, del-Castillo-Negrete, Diego, and Martinell, Julio J. Fri . "Multi-scale statistical analysis of coronal solar activity". Germany. https://doi.org/10.5194/npg-23-175-2016.
@article{osti_1260986,
title = {Multi-scale statistical analysis of coronal solar activity},
author = {Gamborino, Diana and del-Castillo-Negrete, Diego and Martinell, Julio J.},
abstractNote = {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.},
doi = {10.5194/npg-23-175-2016},
journal = {Nonlinear Processes in Geophysics (Online)},
number = 4,
volume = 23,
place = {Germany},
year = {2016},
month = {7}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/npg-23-175-2016

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