Identification of Nonlinear Damping of Transverse Loop Oscillations by KHI-induced Turbulence
Sihui Zhong, Andrew Hillier, I\~nigo Arregui

TL;DR
This paper develops an analytic model for nonlinear damping of coronal loop oscillations caused by turbulence, demonstrating its effectiveness over linear models through Bayesian inference and applying it to observed events.
Contribution
It introduces a new analytic formula for nonlinear damping of kink oscillations, incorporating turbulence effects, and validates it with Bayesian model comparison on observational data.
Findings
Nonlinear damping model fits observed oscillations better than linear models.
Damping time inversely proportional to velocity disturbance over loop radius.
Regimes identified where nonlinear or linear damping mechanisms dominate.
Abstract
Kink oscillations in coronal loops have been extensively studied for their potential contributions to coronal heating and their role in plasma diagnostics through coronal seismology. A key focus is the strong damping of large-amplitude kink oscillations, which observational evidence suggests is nonlinear. However, directly identifying the nonlinearity is a challenge. This work presents an analytic formula describing nonlinear standing kink oscillations dissipated by turbulence, characterised by a time-varying damping rate and period drift. We investigate how the damping behaviour depends on the driving amplitude and loop properties, showing that the initial damping time is inversely proportional to the velocity disturbance over the loop radius, . Using MCMC fitting with Bayesian inference, the nonlinear function better fits an observed decaying kink oscillation than…
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