Simulating Flaring Events in Complex Active Regions Driven by Observed Magnetograms
M. Dimitropoulou, H. Isliker, L. Vlahos, M.K. Georgoulis

TL;DR
This study uses a refined Cellular Automaton model driven by observed magnetograms to simulate solar flaring events, demonstrating the system reaches Self Organized Criticality and reproduces observed statistical properties of flares.
Contribution
It introduces a physically grounded Cellular Automaton model initialized from observed magnetograms, accurately reproducing flare statistics and energy distributions.
Findings
Self Organized Criticality is achieved in the model.
Model reproduces observed power law distributions of flare parameters.
Comparison with GOES data validates the model's realism.
Abstract
We interpret solar flares as events originating from active regions that have reached the Self Organized Critical state, by using a refined Cellular Automaton model with initial conditions derived from observations. Aims: We investigate whether the system, with its imposed physical elements,reaches a Self Organized Critical state and whether well-known statistical properties of flares, such as scaling laws observed in the distribution functions of characteristic parameters, are reproduced after this state has been reached. Results: Our results show that Self Organized Criticality is indeed reached when applying specific loading and relaxation rules. Power law indices obtained from the distribution functions of the modeled flaring events are in good agreement with observations. Single power laws (peak and total flare energy) as well as power laws with exponential cutoff and double power…
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