Overview of Gyrokinetic Theory & Properties of ITG/TEM Instabilities

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Overview of Gyrokinetic Theory & Properties of ITG/TEM Instabilities G. W. Hammett Princeton Plasma Physics Lab (PPPL) http://w3.pppl.gov/~hammett AST559: Plasma & Fluid Turbulence Dec. 5, 2011 (based on APS Div. Plasma Physics talk Orlando, 11/12/2007) Candy, Waltz (General Atomics) 1

Overview of Gyrokinetic Theory & Properties of ITG/TEM Instabilities 1. Development of & physics in gyrokinetic (GK) equations 2. Derivation of ITG growth rate & critical gradient 3. Outline of Trapped Electron Mode (TEM) 4. Development of nonlinear 5-D simulations of gyrokinetic turbulence 5. Marginal Stability Effects 6. Gyrokinetic simulations: physics studies & comparisons w/ expts 7. Future challenges & opportunities (i.e., good thesis & career projects!): more detailed comparisons w/ expts incl. fluctuation diagnostics compare existing GK codes w/ stellarators, new GK stellarator code coupling fast-time turbulence simulations & long-time transport codes Edge Turbulence, ELMs, transport barriers 2

5-slide executive summary 3

1. Intuitive pictures of gyrokinetic turbulence, & how to reduce it analogy w/ inverted pendulum / Rayleigh-Taylor instability reduce turbulence with sheared flows, magnetic shear, Inverted-density fluid Rayleigh-Taylor Instability effective gravity 4

2. Development of & physics in gyrokinetic equations if low frequencies ω << cyclotron frequency (Ω c ), average over particle gyration, treat particles as rings of charge in spatially varying fields (~x) E B Φ B When calculating charge at point Q, have to sum over all particles whose guiding centers are on the dashed line, & have to include small variation of particle density around gyro-orbit ( polarization shielding) potential averaged around particle orbit, even if k ρ i large Development of nonlinear gyrokinetics was a major breakthrough 5

3. Fairly Comprehensive 5-D Gyrokinetic Turbulence Codes Have Been Developed Solve for the particle distribution function f(r,θ,α,v,µ,t) (avg. over gyration: 6D 5D) 500 radii x 32 complex toroidal modes (96 binormal grid points) x 10 parallel points along half-orbits x 8 energies x 16 v /v 12 hours on ORNL Cray X1E with 256 MSPs Realistic toroidal geometry, kinetic ions & electrons, finite-β electro-magnetic fluctuations, collisions. Sophisticated algorithms. 6

4. Gyrokinetic sims.: physics studies & comparisons w/ expts. Simulations often agree with core region of experiments within error bars on grad(t) TGLF transport model, based on gyrokinetic simulations, fits core of wide range of experiments Candy & Waltz, PRL 2003, Waltz et al. 2005 J. Kinsey PoP 2008 7

5. Future challenges & opportunities (i.e., good thesis & career projects!): more detailed comparisons w/ expts incl. synthetic fluctuation diagnostics compare existing GK codes w/ stellarators, new GK stellarator code coupling turbulence simulations directly in long-time transport codes Edge Turbulence, very challenging but critical problem Edge important: core depends on edge, ELMs, transport barriers present core codes don t handle edge, need X-point separatrix, open & closed field lines, strong recycling, wide range of collisionality, Shimada et a., Nucl. Fusion 2007, IPB update, http://dx.doi.org/10.1088/0029-5515/47/6/s01 8

2. Development of & physics in Gyrokinetic Eqs. Development of gyrokinetic equations one of the triumphs of high-power theoretical plasma physics and applied math (asymptotic analysis) Interesting pre-history and history of gyrokinetics Key advance: Frieman & Chen (79-82) show nonlinear gyrokinetics possible Other advances: Hamiltonian/Lagrangian derivations (Hahm, Brizard, Qin, ), insure conservation properties, easier to go to higher order 9

!"#$%&'()*#+,#+%-'$./0123 456%'+)#+#) 6+789%:7;#97< =>?@! 8+#>A#;<B,B+'8+#>A#;<B!,B+'+C)7AD,+C)7#;9 -#;,9" "! / -C9#+ +#<',;7E#) 456 '+)#+7;, )#F';D9+C9#D D9C*7(79B ';(B 8'+ 8CD9 7;D9C*7(797#DG $79",+'$9" +C9#D!! GC;)F7DD#DD('$)+789 7;D9C*7(797#D $79"!!! @! # " "!! =H9#;D7';D '8!&- 9' "7,"#+ ".!! 3G *A9 I#+B <'FJ(7<C9#) Deriviation of MHD-Drift-Kinetic Eq.: * R. M. Kulsrud, in Proc. International School of Physics Enrico Fermi, Course XXV, Advanced Plasma Theory, edited by M. N. Rosenbluth, Varenna, Italy, 1962. * R. M. Kulsrud, in Handbook of Plasma Physics, edited by M. N. Rosenbluth & R. Z. Sagdeev, 1983. 10 10

Big Breakthrough: Nonlinear Gyrokinetics Long, interesting history of linear gyrokinetics, 1960 s, 1970 s. E. A. Frieman & L. Chen 79-82, showed it is possible to gyro-average nonlinear terms and keep full FLR-effects for arbitrary k ρ, & get rigorous solution w/o closure problem (usually, averaging nonlinear terms closure problems, such as fluid equation closures, statistical turbulence theories,... Perhaps understood by some, or in retrospect: J.B. Taylor 67 demonstrated an adiabatic invariant still exists for small-amplitude perturbations at arbitrary k ρ ) GK ordering allows capture of drift/micro-instabilities & much of MHD at just order ε & not ε 2 Guided by expts., µwave scattering, physics insights 11

12

The electrostatic gyrokinetic equation, in a full-f drift-kinetic-like form, for the gyro-averaged, guiding-center distribution function f( R, v,µ,t)= f 0 + δ f: using gyroaveraged potential: φ( R)= 1 2π = 1 2π dθ φ( R + ρ (θ)) dθ k φ k e i k ( R+ρ (θ)) = k J 0 (k ρ)φ k e i k R = J 0 φ v d = v2 Ω ˆb (ˆb ˆb)+ µ Ωˆb B 13

14

(borrowed from B. D. Scott) 15

alternative derivation: next order correction to adiabatic invariant mu 16

First Gyrokinetic PIC code Frieman & Chen had first derivation, but very complicated. W.W. Lee 83 & 87 derivations somewhat clearer, used Catto transformation to guiding center coordinates, & then asymptotic expansion. Made clearer the role of the polarization density (higher order polarization drift dropped from gyrokinetic equation, but resulting polarization density contributes to the gyrokinetic Poisson equation (because even small charge densities lead to large forces in plasmas)). Lee made clearer that GK polarization density eliminates small Debye scale and high frequency plasma oscillations, making simulations much more tractable. Demonstrates first GK PIC simulations (slab, electrostatic, 2-D on early 1980 s computers). 17

Modern Lagrangian/Hamiltonian Lie-Perturbation methods Advantage: df/dt = [H,f], make approximations to Hamiltonian/Lagrangian, but preserve important Hamiltonian properties: exact conservation of an energy H, phase-space, symplectic etc., easier to extend to full f instead of breaking up f=f 0 +f 1, easier to extend to higher-order terms that may be important in some regimes (perhaps in edge turbulence where f 1 << f 0 assumption weak), etc. Dubin, Krommes, Oberman, & Lee / built on Littlejohn, Hamiltonian, slab, electrostatic Hahm: Lagrangian approach advantages, extended to toroidal geometry & db Brizard: Lagrangian, extended to full db and db, nonlinear properties Dimits & Lodestro generalization of ordering Qin: To ensure total energy conservation exactly, use variational field theory for full system of particles & fields, with a particle Lagrangian & a field Lagrangian. Linear benchmarks with PEST MHD code, including kink mode. Higher-order extensions that may be useful near edge. Extensions to general frequency for RF resonant heating, etc. Sugama (2000), Brizard (~2000) Lagrangian field theory for particles and fields together. Brizard-Hahm RMP 2007 Continued work: (controversies re: accuracy needed for momentum transport.) 18

Jump to derivation of ITG instability from GK eqs. (in previous slides) 19 19