April 4-6

Abstract Details

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Author: Sage A Stanish
Requested Type: Poster
Submitted: 2022-03-04 07:02:32

Co-authors: B. Dudson, S. Day, S. Mordijck

Contact Info:
College of William and Mary
907 Promenade Lane
Williamsburg, Virginia   23185

Abstract Text:
Anomalous transport is a critical phenomenon in plasmas connected to turbulence. Understanding and predicting the transition between highly-turbulent and turbulence-suppressed regimes will influence the design of future fusion reactors. Here we use Topological Data Analysis (TDA) to study the Modified Hasegawa Wakatani (MHW) model, which captures the key features of drift-wave turbulence and it’s suppression into zonal flows. TDA has been made possible by recent advances in computing and theoretical mathematics and computes the topology of arbitrary data. The goal is to identify the zonal flow to turbulent transition in the MHW model using topological metrics and link them to the physical mechanisms behind drift-wave turbulence. Previous work applying TDA to classical fluid mechanics such as Kolmogorov Flow and Rayleigh-Bénard Convection has been promising. The authors were able to identify periodicity in the flow patterns and classify all states of the systems uniquely using TDA metrics. In this poster we apply similar techniques to simulations of the MHW model. We develop topological indicators of change in the turbulent transport characteristics and connect these to the traditional descriptions of turbulent flow.

Supported by:
Charles Center Research Grant
Army Research Office Grant Number W911NF-18-1-0306