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.
| Original language | English |
|---|---|
| Pages (from-to) | 175-188 |
| Number of pages | 14 |
| Journal | Nonlinear Processes in Geophysics |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 8 2016 |
Funding
We thank Alejandro Lara for his assistance with the use of SolarSoft and IDL. We acknowledge the use of a SolarSoft package developed by M. Aschwanden to obtain temperature maps. This work was partially supported by the DGAPA-UNAM IN109115 and CONACyT 152905 projects. Diego del-Castillo-Negrete acknowledges support from the Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy under contract DE-AC05-00OR22725.