Bulletin of the American Physical Society
63rd Annual Meeting of the APS Division of Plasma Physics
Volume 66, Number 13
Monday–Friday, November 8–12, 2021; Pittsburgh, PA
Session JP11: Poster Session IV:
Astrophysical Plasma Phenomena
Education and Outreach: Public Engagement, Workforce Development, DEI, High School Research, Undergraduate Research
MFE - Exhaust and PMI; Disruptions and Runaway Electrons; Energetic Particles
2:00 PM - 5:00 PM
Tuesday, November 9, 2021
Room: Hall A
Abstract: JP11.00141 : Adapting Trinity for Use in Stellarator Plasma Profile Predictions*
Presenter:
Sorah Fischer
Authors:
Sorah Fischer
William D Dorland
(University of Maryland, College Park)
Michael C Zarnstorff
(Princeton Plasma Physics Laboratory)
Tony Qian
(Princeton Plasma Physics Laboratory)
Chesson Sipling
(Georgia Tech)
Santiago Lisa
(Montgomery Blair High School)
Braden Buck
(Purdue University)
Nastassia Patnaik
(Brearley School)
Brian X Jiang
(Columbia University)
Wenxi Wu
(University of Maryland, College Park)
Nathaniel Stauffer
(University of Maryland)
Bharat K Medasani
(Princeton Plasma Physics Lab)
Sreya Vangara
(MIT)
Trinity is a program that was written to simulate equilibrium profiles in tokamaks by solving a transport equation for individual tube-shaped volumes. It is relatively simple to find a steady-state solution for each tube, and a full profile can be built by coupling them. The flux tube model accounts for a large percentage of the fluctuations found in a tokamak and gives a reasonable profile estimate.
Trinity was originally written in Fortran and designed for use with tokamaks. The goal of this project is to bring Trinity over to Python making it more user-friendly, while integrating Trinity with other programs such as VMEC, GX, and GS2 for more accurate turbulence estimates, and finally, adapting Trinity for stellarator profiles. With these changes, Trinity will be capable of producing highly accurate stellarator plasma profile predictions, which would assist the design of stellarators with reduced turbulent transport
*This work was made possible by funding from the Department of Energy for the Summer Undergraduate Laboratory Internship (SULI) program. This work is supported by the US DOE Contract No. DE-AC02-09CH11466.
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