Nanoflare distributions over solar cycle 24 based on SDO/AIA differential emission measure observations
Stefan Purkhart, Astrid M. Veronig

TL;DR
This study analyzes nanoflare energy distributions over solar cycle 24 using SDO/AIA data, revealing their power-law behavior, spatial clustering, and limited contribution to coronal heating, with no correlation to solar activity levels.
Contribution
It provides the first detailed analysis of nanoflare energy distributions over an entire solar cycle using DEM diagnostics and high-resolution AIA data, highlighting their spatial and energetic characteristics.
Findings
Nanoflare energies follow a power-law distribution with index ~2.28.
The mean nanoflare energy flux is an order of magnitude below the coronal heating requirement.
High-energy flux clusters are associated with magnetic network regions.
Abstract
Nanoflares in quiet-Sun regions during solar cycle 24 are studied with the best available plasma diagnostics to derive their energy distribution and contribution to coronal heating during different levels of solar activity. Extreme ultraviolet (EUV) filters of the Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) are used. We analyze 30 AIA/SDO image series between 2011 and 2018, each covering a arcsec quiet-Sun field-of-view over two hours with a 12-second cadence. Differential emission measure (DEM) analysis is used to derive the emission measure (EM) and temperature evolution for each pixel. We detect nanoflares as EM-enhancements using a threshold-based algorithm and derive their thermal energy from the DEM observations. Nanoflare energy distributions follow power-laws that show slight variations in steepness ( 2.02 to 2.47)…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Ionosphere and magnetosphere dynamics · Earthquake Detection and Analysis
