Validation of simulated radiative collapse events in TORAX
POSTER
Abstract
We present simulations of radiative collapse events using the TORAX [1] transport simulator, and the first validation against radiative collapse events on Alcator C-Mod. The SIMulation of Off-Normal events (ONSIMs), e.g. radiative collapses, is a new area of time-dependent plasma simulation that has the potential to explore the disruptive chains-of-events, provide synthetic data for disruption prediction algorithms, and stress-test the Plasma Control System within a simulated environment. The validity of these radiative collapse simulations is investigated by comparing the radiated power, kinetic profile, and impurity concentration evolution predicted by TORAX using real C-Mod equilibrium data (and constrained by impurity profile measurements) to those observed on C-Mod.C-Mod equilibria are provided via the newly introduced helper framework [2].Multiple types of radiative collapses are investigated, including core impurity accumulation (temperature hollowing) and edge collapses, along with non-disruptive injections that can help to identify disruptive limits. Through these validations, disruptive concentrations of impurities can be identified and a library of impurity source time-traces can be collated and used to create realistic off-normal events in the simulation of new, unexplored operating scenarios.
[1] J. Citrin et al, https://arxiv.org/abs/2406.06718
[2] G.L. Trevisan et al, APS-DPP 2025
[1] J. Citrin et al, https://arxiv.org/abs/2406.06718
[2] G.L. Trevisan et al, APS-DPP 2025
Presenters
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Alex R Saperstein
Massachusetts Institute of Technology
Authors
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Alex R Saperstein
Massachusetts Institute of Technology
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Jonathan Citrin
Google DeepMind
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Aaron Ho
MIT, MIT PSFC, Massachusetts Institute of Technology
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Ryan M Sweeney
Commonwealth Fusion Systems
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Conor J Perks
Massachusetts Institute of Technology
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Dan D Boyer
Commonwealth Fusion Systems
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Federico Felici
Google DeepMind
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Gregorio L Trevisan
Massachusetts Institute of Technology
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Cristina Rea
Massachusetts Institute of Technology