An Information-Theoretical Approach to Analyzing Magnetosphere-lonosphere Coupling Process in Hybrid Simulations.
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Department
Physics
Abstract
Recent simulations of tail dynamics using the Auburn Global Hybrid Code in 3-D (ANGIE3D) suggest that tail flows are closely related to the dynamics of Alfven waves propagating from the magnetotail to the ionosphere. To understand the dynamical coupling process described by the simulation, we consider the simulated time series of plasma sheet structures associated with tail flows and the Poynting flux into the ionosphere. We present 2-D and 3-D plots showing how the ionospheric Poynting flux responds to activity in the plasma sheet over time and the location at which Alfven waves are generated. We utilize transfer entropy [Schrieber, 2001] to identify causal, non-linear relationships among reconnection events, tail flows, and Poynting flux into the ionosphere. Results suggest that flows in the plasma sheet are the primary driver of the Poynting flux, which is consistent with expectations. This work demonstrates how system science tools can be used in conjunction with complex simulations to describe the underlying system dynamics and provide a framework for understanding the interrelated components, functions, and causalities in the system.
Session
Department of Physics
Event Website
https://www.andrews.edu/services/research/research_events/conferences/urs_honors_poster_symposium/index.html
Start Date
3-26-2021 2:00 PM
End Date
3-26-2021 2:20 PM
An Information-Theoretical Approach to Analyzing Magnetosphere-lonosphere Coupling Process in Hybrid Simulations.
Recent simulations of tail dynamics using the Auburn Global Hybrid Code in 3-D (ANGIE3D) suggest that tail flows are closely related to the dynamics of Alfven waves propagating from the magnetotail to the ionosphere. To understand the dynamical coupling process described by the simulation, we consider the simulated time series of plasma sheet structures associated with tail flows and the Poynting flux into the ionosphere. We present 2-D and 3-D plots showing how the ionospheric Poynting flux responds to activity in the plasma sheet over time and the location at which Alfven waves are generated. We utilize transfer entropy [Schrieber, 2001] to identify causal, non-linear relationships among reconnection events, tail flows, and Poynting flux into the ionosphere. Results suggest that flows in the plasma sheet are the primary driver of the Poynting flux, which is consistent with expectations. This work demonstrates how system science tools can be used in conjunction with complex simulations to describe the underlying system dynamics and provide a framework for understanding the interrelated components, functions, and causalities in the system.
https://digitalcommons.andrews.edu/honors-undergraduate-poster-symposium/2021/symposium/30
Acknowledgments
Advisor: Jay Johnson, Lei Cheng, Yu Lin, Simon Wing, Xueyi Wang, J. D. Perez, and Xu Zhang