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CAKE: Consistent Automatic Kinetic Equilibrium reconstruction

Journal Article · · Fusion Engineering and Design
 [1];  [2];  [3];  [4];  [3];  [3];  [3];  [5];  [6];  [6];  [7];  [8]
  1. Princeton Univ., NJ (United States); General Atomics
  2. Princeton Univ., NJ (United States); General Atomics, San Diego, CA (United States)
  3. Princeton Univ., NJ (United States)
  4. Eindhoven Univ. of Technology (The Netherlands)
  5. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  6. General Atomics, San Diego, CA (United States)
  7. Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
  8. Princeton Univ., NJ (United States); Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Magnetohydrodynamic equilibrium reconstructions with kinetic constraints are an essential input of many tokamak stability and transport analysis work- flows. The reconstructions themselves also contain useful information about pressure and current density distributions within the plasma which can be used to drive other calculations. While standardized magnetic-only, and partially kinetic equilibrium reconstruction is widely available and used, re- constructions for well diagnosed machines such as DIII-D, that incorporates a large and heterogeneous set of internal diagnostic measurements yet robustly reaching high numerical accuracy have been a time intensive, manual process. The Consistent Automatic Kinetic Equilibrium reconstruction tool (CAKE) has been developed and implemented at DIII-D for producing low error, kinetically constrained reconstructions without human intervention, and to identify strategies for doing so that would be broadly applicable. Here, the techniques employed to allow CAKE to handle data of limited quality and availability, as well as the full automation of the workflow may assist future efforts to form kinetic constraint profiles in real time plasma control applications.
Research Organization:
General Atomics, San Diego, CA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Princeton Univ., NJ (United States)
Sponsoring Organization:
USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
Grant/Contract Number:
AC02-09CH11466; AC52-07NA27344; FC02-04ER54698; SC0015878
OSTI ID:
1782462
Alternate ID(s):
OSTI ID: 2325211
OSTI ID: 1811228
OSTI ID: 23195008
OSTI ID: 1923780
Report Number(s):
LLNL-JRNL--824432
Journal Information:
Fusion Engineering and Design, Journal Name: Fusion Engineering and Design Vol. 163; ISSN 0920-3796
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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