Multi-Stranded Coronal Loops: Quantifying Strand Number and Heating Frequency from Simulated Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA) Observations
Thomas Williams, Robert W. Walsh, Stephane Regnier, Craig D. Johnston

TL;DR
This study uses advanced simulations of solar coronal loops to estimate the number of strands and heating frequency, aligning synthetic AIA observations with actual data to better understand solar atmospheric heating processes.
Contribution
It introduces an improved multi-stranded loop model and demonstrates how to infer strand number and heating frequency from AIA observations and simulations.
Findings
Repetition time of nanoflares can be estimated from emission time series.
AIA channel ratios combined with temperature variability help determine heating parameters.
The model successfully reproduces observed emission characteristics of coronal loops.
Abstract
Coronal loops form the basic building blocks of the magnetically closed solar corona yet much is still to be determined concerning their possible fine-scale structuring and the rate of heat deposition within them. Using an improved multi-stranded loop model to better approximate the numerically challenging transition region, this paper examines synthetic NASA Solar Dynamics Observatory's (SDO) Atmospheric Imaging Assembly (AIA) emission simulated in response to a series of prescribed spatially and temporally random, impulsive and localised heating events across numerous sub-loop elements with a strong weighting towards the base of the structure; the nanoflare heating scenario. The total number of strands and nanoflare repetition times are varied systematically in such a way that the total energy content remains approximately constant across all the cases analysed. Repeated time lag…
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