1Instituto de Ciencias Nucleares, UNAM, A. Postal 70-543, México D. F., Mexico
2Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Received: 31 Dec 2015 – Discussion started: 19 Jan 2016
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.
Revised: 29 Apr 2016 – Accepted: 07 Jun 2016 – Published: 08 Jul 2016
Gamborino, D., del-Castillo-Negrete, D., and Martinell, J. J.: Multi-scale statistical analysis of coronal solar activity, Nonlin. Processes Geophys., 23, 175-188, doi:10.5194/npg-23-175-2016, 2016.