Microtearding mode study in NSTX using machine learning enhanced reduced model

Autor: Curie, Max T., Larakers, Joel, Parisi, Jason, Staebler, Gary, Munaretto, Stefano, Guttenfelder, Walter, Belli, Emily, Hatch, David R., Lampert, Mate, Avdeeva, Galina, Neiser, Tom, Smith, Sterling, Diallo, Ahmed, Nelson, Oak, Kaye, Stanley, Fredrickson, Eric, Manela, Joshua M, Lei, Shelly, Halfmoon, Michael, Tennery, Matthew M, Hassan, Ehab
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: This article presents a survey of NSTX cases to study the microtearing mode (MTM) stabilities using the newly developed global reduced model for Slab-Like Microtearing modes (SLiM). A trained neutral network version of SLiM enables rapid assessment (0.05s/mode) of MTM with $98\%$ accuracy providing an opportunity for systemic equilibrium reconstructions based on the matching of experimentally observed frequency bands and SLiM prediction across a wide range of parameters. Such a method finds some success in the NSTX discharges, the frequency observed in the experiment matches with what SLiM predicted. Based on the experience with SLiM analysis, a workflow to estimate the potential MTM frequency for a quick assessment based on experimental observation has been established.
Databáze: arXiv