Diagnosing the time-dependence of active region core heating from the emission measure: II. Nanoflare trains
Jeffrey W. Reep, Stephen J. Bradshaw, James A. Klimchuk

TL;DR
This study investigates how nanoflare trains, sequences of impulsive heating events, influence the emission measure distribution in solar active regions, providing insights into coronal heating mechanisms and diagnostic methods.
Contribution
It demonstrates that nanoflare trains can explain most active region core emissions and links emission measure slopes to heating parameters using hydrodynamic modeling.
Findings
Nanoflare trains explain 86% to 100% of observed active region cores.
Steeper emission measure slopes occur with larger train duration to cooling timescale ratios.
The width of the hot emission component can diagnose the interval between heating events.
Abstract
The time-dependence of heating in solar active regions can be studied by analyzing the slope of the emission measure distribution cool-ward of the peak. In a previous study we showed that low-frequency heating can account for 0% to 77% of active region core emission measures. We now turn our attention to heating by a finite succession of impulsive events for which the timescale between events on a single magnetic strand is shorter than the cooling timescale. We refer to this scenario as a "nanoflare train" and explore a parameter space of heating and coronal loop properties with a hydrodynamic model. Our conclusions are: (1) nanoflare trains are consistent with 86% to 100% of observed active region cores when uncertainties in the atomic data are properly accounted for; (2) steeper slopes are found for larger values of the ratio of the train duration to the post-train cooling…
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