Detecting Flows, Waves and Nanoflares in the Solar Corona
Abstract
Oscillations in the solar corona are studied using data from Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA). We use a wavelet analysis to search for oscillatory signals in 3D datacubes (two spatial dimensions, one temporal dimension) in each of the extreme ultraviolet passbands of AIA, and apply a pixel-grouping algorithm to enable us to study coherent patches of the solar corona. By looking at regions of the corona that oscillate at similar periodicity we are able to interpret the spatial behavior of oscillations through different heights in the solar corona and transversely across the corona. We propose a method to identify and extract flows, waves, and nanoflares and determine the contribution of each of these in heating coronal plasma.
- Publication:
-
American Astronomical Society Meeting Abstracts #219
- Pub Date:
- January 2012
- Bibcode:
- 2012AAS...21914403C