Gyrokinetic Simulations of Tokamak Microturbulence

Similar documents
Fine-Scale Zonal Flow Suppression of Electron Temperature Gradient Turbulence

Critical gradient formula for toroidal electron temperature gradient modes

International Workshop on the Frontiers of Modern Plasma Physics July On the Nature of Plasma Core Turbulence.

Particle-in-cell simulations of electron transport from plasma turbulence: recent progress in gyrokinetic particle simulations of turbulent plasmas

Microtearing Simulations in the Madison Symmetric Torus

TURBULENT TRANSPORT THEORY

Gyrokinetic Turbulence in Tokamaks and Stellarators

DPG School The Physics of ITER Physikzentrum Bad Honnef, Energy Transport, Theory (and Experiment) Clemente Angioni

On the Nature of ETG Turbulence and Cross-Scale Coupling

Gyrokinetic Transport Driven by Energetic Particle Modes

Long Time Simulations of Microturbulence in Fusion Plasmas

GTC Simulation of Turbulence and Transport in Tokamak Plasmas

C-Mod Transport Program

Size Scaling and Nondiffusive Features of Electron Heat Transport in Multi-Scale Turbulence

Towards Multiscale Gyrokinetic Simulations of ITER-like Plasmas

ITER Predictions Using the GYRO Verified and Experimentally Validated TGLF Transport Model

UCLA POSTECH UCSD ASIPP U

Gyrokinetics an efficient framework for studying turbulence and reconnection in magnetized plasmas

Co-existence and interference of multiple modes in plasma turbulence: Some recent GENE results

I. INTRODUCTION PHYSICS OF PLASMAS VOLUME 5, NUMBER 5 MAY 1998

Multi-scale turbulence, electron transport, and Zonal Flows in DIII-D

Overview of Gyrokinetic Theory & Properties of ITG/TEM Instabilities

Bounce-averaged gyrokinetic simulations of trapped electron turbulence in elongated tokamak plasmas

Self-consistent particle tracking in a simulation of the entropy mode in a Z pinch

Coarse-graining the electron distribution in turbulence simulations of tokamak plasmas

Comparing simulation of plasma turbulence with experiment. II. Gyrokinetic simulations

Electromagnetic Turbulence Simulations with Kinetic Electrons from the the Summit Framework

David R. Smith UW-Madison

Z. Lin University of California, Irvine, CA 92697, USA. Supported by SciDAC GPS-TTBP, GSEP & CPES

Streamer saturation: a dynamical systems approach

Validating Simulations of Multi-Scale Plasma Turbulence in ITER-Relevant, Alcator C-Mod Plasmas

Micro-tearing modes in the mega ampere spherical tokamak

Low-collisionality density-peaking in GYRO simulations of C-Mod plasmas

Progress and Plans on Physics and Validation

The gyrokinetic turbulence code GENE - Numerics and applications

Kinetic damping in gyro-kinetic simulation and the role in multi-scale turbulence

MHD Pedestal Paradigm (Conventional Wisdom)

Multiscale, multiphysics modeling of turbulent transport and heating in collisionless, magnetized plasmas

Edge Rotational Shear Requirements for the Edge Harmonic Oscillation in DIII D Quiescent H mode Plasmas

Gyrokinetic Microtearing Studies

Role of Zonal Flows in TEM Turbulence through Nonlinear Gyrokinetic Particle and Continuum Simulation

NSTX. Investigation of electron gyro-scale fluctuations in the National Spherical Torus Experiment. David Smith. Advisor: Ernesto Mazzucato

Advances in stellarator gyrokinetics

PSFC/JA D.R. Ernst, N. Basse, W. Dorland 1, C.L. Fiore, L. Lin, A. Long 2, M. Porkolab, K. Zeller, K. Zhurovich. June 2006

Turbulence spreading and transport scaling in global gyrokinetic particle simulations

Global gyrokinetic particle simulations with kinetic electrons

TRANSPORT PROGRAM C-MOD 5 YEAR REVIEW MAY, 2003 PRESENTED BY MARTIN GREENWALD MIT PLASMA SCIENCE & FUSION CENTER

1 THC/P4-01. Shear flow suppression of turbulent transport and self-consistent profile evolution within a multi-scale gyrokinetic framework

Bursty Transport in Tokamaks with Internal Transport Barriers

Global particle-in-cell simulations of Alfvénic modes

Stability of a plasma confined in a dipole field

UCIrvine. Gyrokinetic Studies of Turbulence Spreading IAEA-CN-116/TH1-4

Greg Hammett Imperial College, London & Princeton Plasma Physics Lab With major contributions from:

Gyrokinetic Turbulence Simulations at High Plasma Beta

Coupled radius-energy turbulent transport of alpha particles

Gyrokinetic simulation of collisionless trapped-electron mode turbulence

Characterizing electron temperature gradient turbulence via numerical simulation

Gyrokinetic simulations including the centrifugal force in a strongly rotating tokamak plasma

GA A26874 ITER PREDICTIONS USING THE GYRO VERIFIED AND EXPERIMENTALLY VALIDATED TGLF TRANSPORT MODEL

Transport Improvement Near Low Order Rational q Surfaces in DIII D

MHD Analysis of the Tokamak Edge Pedestal in the Low Collisionality Regime Thoughts on the Physics of ELM-free QH and RMP Discharges

Comparisons and Physics Basis of Tokamak Transport. Models and Turbulence Simulations

Studies of Turbulence-driven FLOWs:

arxiv: v1 [physics.plasm-ph] 14 Jan 2009

INTRODUCTION TO GYROKINETIC AND FLUID SIMULATIONS OF PLASMA TURBULENCE AND OPPORTUNITES FOR ADVANCED FUSION SIMULATIONS

Characteristics of the H-mode H and Extrapolation to ITER

Comparison of Critical Values of R/L Te. for ETG Modes Based on an Analytic Expression. with GKS Simulations for DIII-D Discharges

Properties of freely decaying and driven turbulence of fusion plasmas using gyrokinetic particle simulation

Microturbulence in optimised stellarators

Magnetohydrodynamics (MHD) II

Electron Transport and Improved Confinement on Tore Supra

Global Nonlinear Simulations of Ion and Electron Turbulence Usintg a Particle-In-Cell Approach

Mechanisms of intrinsic toroidal rotation tested against ASDEX Upgrade observations

Reduced Electron Thermal Transport in Low Collisionality H-mode Plasmas in DIII-D and the Importance of Small-scale Turbulence

On the physics of shear flows in 3D geometry

Gyrokinetic prediction of microtearing turbulence in standard tokamaks

C-Mod Core Transport Program. Presented by Martin Greenwald C-Mod PAC Feb. 6-8, 2008 MIT Plasma Science & Fusion Center

NumKin, Strasbourg, October 17 th, 2016

A numerical instability in an ADI algorithm for gyrokinetics

ELMs and Constraints on the H-Mode Pedestal:

Mechanisms for ITB Formation and Control in Alcator C-Mod Identified through Gyrokinetic Simulations of TEM Turbulence

GA A26891 A FIRST PRINCIPLES PREDICTIVE MODEL OF THE PEDESTAL HEIGHT AND WIDTH: DEVELOPMENT, TESTING, AND ITER OPTIMIZATION WITH THE EPED MODEL

C-MOD PAC FEBRUARY, 2005 PRESENTED BY MARTIN GREENWALD MIT PLASMA SCIENCE & FUSION CENTER

THEORY AND SIMULATION OF ROTATIONAL SHEAR STABILIZATION OF TURBULENCE

Understanding and Predicting Profile Structure and Parametric Scaling of Intrinsic Rotation. Abstract

Turbulent Transport due to Kinetic Ballooning Modes in High-Beta Toroidal Plasmas

GA A25566 COUPLED ITG/TEM-ETG GYROKINETIC SIMULATIONS

Direct drive by cyclotron heating can explain spontaneous rotation in tokamaks

Investigation of Intrinsic Rotation Dependencies in Alcator C-Mod

Simulations on the Nonlinear Mode Coupling in Multiple-scale Drift-type Turbulence with Coherent Flow Structures

ENERGETIC PARTICLES AND BURNING PLASMA PHYSICS

Observation of Reduced Core Electron Temperature Fluctuations and Intermediate Wavenumber Density Fluctuations in H- and QH-mode Plasmas

Plasma instabilities. Dr Ben Dudson, University of York 1 / 37

Innovative Concepts Workshop Austin, Texas February 13-15, 2006

W.A. HOULBERG Oak Ridge National Lab., Oak Ridge, TN USA. M.C. ZARNSTORFF Princeton Plasma Plasma Physics Lab., Princeton, NJ USA

Plasma Science and Fusion Center

Gyrokine.c Analysis of the Linear Ohmic Confinement Regime in Alcator C- Mod *

Formation and Long Term Evolution of an Externally Driven Magnetic Island in Rotating Plasmas )

L Aquila, Maggio 2002

Tokamak Edge Turbulence background theory and computation

Transcription:

Gyrokinetic Simulations of Tokamak Microturbulence W Dorland, Imperial College, London With key contributions from: S C Cowley F Jenko G W Hammett D Mikkelsen B N Rogers C Bourdelle W M Nevins D W Ross K Hallatschek R Budny E Belli M Kotschenreuther J W Connor E Quataert G D Kerbel

Gyrokinetics is Maturing Rapidly

Gyrokinetics is Maturing Rapidly Ë Mutually benchmarked, nonlinear codes exist

Gyrokinetics is Maturing Rapidly Ë Mutually benchmarked, nonlinear codes exist Ë Growing user base of experimentalists and theorists

Gyrokinetics is Maturing Rapidly Ë Mutually benchmarked, nonlinear codes exist Ë Growing user base of experimentalists and theorists Radial correlation functions from three independently developed gyrokinetic codes, run for identical physics parameters. W M Nevins, A Dimits, R E Waltz, J Candy, W Dorland

Gyrokinetics is Maturing Rapidly Ë Mutually benchmarked, nonlinear codes exist Ë Growing user base of experimentalists and theorists Radial correlation functions from three independently developed gyrokinetic codes, run for identical physics parameters. W M Nevins, A Dimits, R E Waltz, J Candy, W Dorland Ë Improving our understanding of experimental data

Gyrokinetics is Maturing Rapidly Ë Mutually benchmarked, nonlinear codes exist Ë Growing user base of experimentalists and theorists Radial correlation functions from three independently developed gyrokinetic codes, run for identical physics parameters. W M Nevins, A Dimits, R E Waltz, J Candy, W Dorland Ë Improving our understanding of experimental data Ë Providing guidance for theoretical advances

First Principles Models Desirable Ë Outliers valuable -- indicate missing physics

First Principles Models Desirable Ë Ë Outliers valuable -- indicate missing physics Extrapolation less uncertain

First Principles Models Desirable Ë Ë Outliers valuable -- indicate missing physics Extrapolation less uncertain GLF-23 model (Waltz, Staebler, Dorland, Konings, and Kotschenreuther) vs data from ITER profile database J Kinsey

First Principles Models Desirable Ë Ë Outliers valuable -- indicate missing physics Extrapolation less uncertain GLF-23 model (Waltz, Staebler, Dorland, Konings, and Kotschenreuther) vs data from ITER profile database J Kinsey Ë Significant progress over the last nine years.

First Principles Models Desirable Ë Ë Outliers valuable -- indicate missing physics Extrapolation less uncertain GLF-23 model (Waltz, Staebler, Dorland, Konings, and Kotschenreuther) vs data from ITER profile database J Kinsey Ë Worst outliers at high collisionality.

Nonlinear Physics Benchmarked Against Theoretical Predictions High b Alfvenic turbulence in homogeneous, stirred plasma shows predicted perpendicular spectrum (and anisotropy, not shown). Here, b = 8 (i.e., 800%). W Dorland, S C Cowley, G W Hammett and E Quataert

Nonlinear Physics Benchmarked Against Theoretical Predictions High b Alfvenic turbulence in homogeneous, stirred plasma shows predicted perpendicular spectrum (and anisotropy, not shown). Here, b = 8 (i.e., 800%). W Dorland, S C Cowley, G W Hammett and E Quataert Need theory for inhomogeneous, unstable plasmas!

Parasitic Instability Model Ë Equilibrium unstable to primary (linear) instabilities Ë Primaries unstable to secondary instabilities ----------------------------------------------------------------------------------------------------- Ë Some secondary instabilities have zonal flow component Ë Zonal flows unstable to tertiary instabilities Key references: S C Cowley, R M Kulsrud, R Sudan, PF B, (3:2767:1991) J F Drake, et al., PF B, (4:488:1992) M N Rosenbluth, F Hinton, PRL (80:724:1998) B N Rogers, W Dorland, M Kotschenreuther, PRL, (85:5536:2000) W Dorland, F Jenko, M Kotschenreuther, B N Rogers, PRL, (85:5579:2000)

Parasitic Instability Model Ë Equilibrium unstable to primary (linear) instabilities Ë Primaries unstable to secondary instabilities ----------------------------------------------------------------------------------------------------- Ë Some secondary instabilities have zonal flow component Ë Zonal flows unstable to tertiary instabilities Key references: S C Cowley, R M Kulsrud, R Sudan, PF B, (3:2767:1991) J F Drake, et al., PF B, (4:488:1992) M N Rosenbluth, F Hinton, PRL (80:724:1998) B N Rogers, W Dorland, M Kotschenreuther, PRL, (85:5536:2000) W Dorland, F Jenko, M Kotschenreuther, B N Rogers, PRL, (85:5579:2000)

Parasitic Instability Model Ë Equilibrium unstable to primary (linear) instabilities Ë Primaries unstable to secondary instabilities ----------------------------------------------------------------------------------------------------- Ë Some secondary instabilities have zonal flow component Ë Zonal flows unstable to tertiary instabilities Key references: S C Cowley, R M Kulsrud, R Sudan, PF B, (3:2767:1991) J F Drake, et al., PF B, (4:488:1992) M N Rosenbluth, F Hinton, PRL (80:724:1998) B N Rogers, W Dorland, M Kotschenreuther, PRL, (85:5536:2000) W Dorland, F Jenko, M Kotschenreuther, B N Rogers, PRL, (85:5579:2000)

Parasitic Instability Model Ë Equilibrium unstable to primary (linear) instabilities Ë Primaries unstable to secondary instabilities ----------------------------------------------------------------------------------------------------- Ë Some secondary instabilities have zonal flow component Ë Zonal flows unstable to tertiary instabilities Key references: S C Cowley, R M Kulsrud, R Sudan, PF B, (3:2767:1991) J F Drake, et al., PF B, (4:488:1992) M N Rosenbluth, F Hinton, PRL (80:724:1998) B N Rogers, W Dorland, M Kotschenreuther, PRL, (85:5536:2000) W Dorland, F Jenko, M Kotschenreuther, B N Rogers, PRL, (85:5579:2000)

Parasitic Instability Model Ë Equilibrium unstable to primary (linear) instabilities Ë Primaries unstable to secondary instabilities ----------------------------------------------------------------------------------------------------- Ë Some secondary instabilities have zonal flow component Ë Zonal flows unstable to tertiary instabilities Key references: S C Cowley, R M Kulsrud, R Sudan, PF B, (3:2767:1991) J F Drake, et al., PF B, (4:488:1992) M N Rosenbluth, F Hinton, PRL (80:724:1998) B N Rogers, W Dorland, M Kotschenreuther, PRL, (85:5536:2000) W Dorland, F Jenko, M Kotschenreuther, B N Rogers, PRL, (85:5579:2000)

Parasitic Instability Model Ë Equilibrium unstable to primary (linear) instabilities Ë Primaries unstable to secondary instabilities ----------------------------------------------------------------------------------------------------- Ë Some secondary instabilities have zonal flow component Ë Zonal flows unstable to tertiary instabilities Key references: S C Cowley, R M Kulsrud, R Sudan, PF B, (3:2767:1991) J F Drake, et al., PF B, (4:488:1992) M N Rosenbluth, F Hinton, PRL (80:724:1998) B N Rogers, W Dorland, M Kotschenreuther, PRL, (85:5536:2000) W Dorland, F Jenko, M Kotschenreuther, B N Rogers, PRL, (85:5579:2000)

Parasitic Instability Model Ë Amenable to analytical treatment Ë Balances among primaries, secondaries and tertiaries explain simulation results quantitatively and qualitatively Ë For example, different kinds of secondaries have different effects. Toroidal ITG susceptible to strong secondary -> weak transport Toroidal ETG susceptible to weak secondary -> strong transport Slab ETG/ITG susceptible to strong secondary -> weak transport

Parasitic Instability Model Ë Amenable to analytical treatment Ë Balances among primaries, secondaries and tertiaries explain simulation results quantitatively and qualitatively Ë For example, different kinds of secondaries have different effects. Toroidal ITG susceptible to strong secondary -> weak transport Toroidal ETG susceptible to weak secondary -> strong transport Slab ETG/ITG susceptible to strong secondary -> weak transport

Parasitic Instability Model Ë Amenable to analytical treatment Ë Balances among primaries, secondaries and tertiaries explain simulation results quantitatively and qualitatively Ë For example, different kinds of secondaries have different effects. Toroidal ITG susceptible to strong secondary -> weak transport Toroidal ETG susceptible to weak secondary -> strong transport Slab ETG/ITG susceptible to strong secondary -> weak transport

Parasitic Instability Model Ë Amenable to analytical treatment Ë Balances among primaries, secondaries and tertiaries explain simulation results quantitatively and qualitatively Ë For example, different kinds of secondaries have different effects. Toroidal ITG susceptible to strong secondary -> weak transport Toroidal ETG susceptible to weak secondary -> strong transport Slab ETG/ITG susceptible to strong secondary -> weak transport

Parasitic Instability Model Ë Amenable to analytical treatment Ë Balances among primaries, secondaries and tertiaries explain simulation results quantitatively and qualitatively Ë For example, different kinds of secondaries have different effects. Toroidal ITG susceptible to strong secondary -> weak transport Toroidal ETG susceptible to weak secondary -> strong transport Slab ETG/ITG susceptible to strong secondary -> weak transport

Parasitic Instability Model Ë Amenable to analytical treatment Ë Balances among primaries, secondaries and tertiaries explain simulation results quantitatively and qualitatively Ë For example, different kinds of secondaries have different effects. Toroidal ITG susceptible to strong secondary -> weak transport Toroidal ETG susceptible to weak secondary -> strong transport Slab ETG/ITG susceptible to strong secondary -> weak transport

Nature of Secondary Instabilities Contours of electrostatic potential from simulation of ETG turbulence High-n microinstabilities typically localised to low field, bad curvature region; extended along field lines G D Kerbel, W Dorland

Nature of Secondary Instabilities Contours of electrostatic potential from simulation of ETG turbulence High-n microinstabilities typically localised to low field, bad curvature region; extended along field lines G D Kerbel, W Dorland

Nature of Secondary Instabilities Contours of electrostatic potential from simulation of ETG turbulence High-n microinstabilities typically localised to low field, bad curvature region; extended along field lines G D Kerbel, W Dorland

Nature of Secondary Instabilities Radially extended structures clearly evident on outboard midplane Associated with existence of high amplitude streamer transport W Dorland, F Jenko

Nature of Secondary Instabilities What is a secondary instability, and how is it related to pictures like this?

Nature of Secondary Instabilities What is a secondary instability, and how is it related to pictures like this? Let s go back in time, and consider the primary instabilities

Nature of Secondary Instabilities Primary instabilities have radial widths ~ 1/sqrt(n) and poloidal widths ~ 1/n

Nature of Secondary Instabilities Primary instabilities have radial widths ~ 1/sqrt(n) and poloidal widths ~ 1/n Since n >> 1, linear modes look like streamers

Nature of Secondary Instabilities Amplitude of linear perturbations increases exponentially in time

Nature of Secondary Instabilities Amplitude of linear perturbations increases exponentially in time Contours of potential are streamlines of ExB flows which are increasingly sheared and thus susceptible to Kelvin- Helmholtz-like instabilities

Nature of Secondary Instabilities Amplitude of linear perturbations increases exponentially in time Contours of potential are streamlines of ExB flows which are increasingly sheared and thus susceptible to Kelvin- Helmholtz-like instabilities Also, gradients in poloidal direction can be sqrt(n) stronger than radial gradients if eddies survive long enough

Nature of Secondary Instabilities Amplitude of linear perturbations increases exponentially in time Contours of potential are streamlines of ExB flows which are increasingly sheared and thus susceptible to Kelvin- Helmholtz-like instabilities Also, gradients in poloidal direction can be sqrt(n) stronger than radial gradients if eddies survive long enough Secondary growth rate is proportional to primary amplitude

Nature of Secondary Instabilities ETG secondaries are complicated, so consider ITG secondary first. Same view as before. Secondary breaks up radial flows, tries to convert them to poloidal flows B N Rogers, W Dorland g, k x spectrum of secondary analytically tractable!

Secondary Instability of ITG Mode Selected Fourier harmonic amplitudes vs time in example GK ITG simulation: collisionless, adiabatic electrons, electrostatic

Secondary Instability of ITG Mode Selected Fourier harmonic amplitudes vs time in example GK ITG simulation: collisionless, adiabatic electrons, electrostatic Primary instability grows like exp[ g t]

Secondary Instability of ITG Mode Selected Fourier harmonic amplitudes vs time in example GK ITG simulation: collisionless, adiabatic electrons, electrostatic Primary instability grows like exp[ g t] Secondary instabilities grow like exp[exp[g t]] above a threshold

Secondary Instability of ITG Mode Growth rate of primary is constant in time

Secondary Instability of ITG Mode Growth rate of primary is constant in time Growth rate of secondary increases in time

Secondary Instability of ITG Mode Growth rate of primary is constant in time Growth rate of secondary increases in time Growth rate of secondary is proportional to amplitude of primary

Secondary Instability of ITG Mode Consider time when primary and secondary growth rates are equal

Secondary Instability of ITG Mode Balance primary and secondary growth rates to estimate saturation amplitude

Secondary Instability of ITG Mode Balance primary and secondary growth rates to estimate saturation amplitude

Secondary Instability of ITG Mode Balance primary and secondary growth rates to estimate saturation amplitude Alternatively, view this as the physics that determines the radial mixing length (Cowley)

Secondary Instability of ITG Mode Balance primary and secondary growth rates to estimate saturation amplitude Alternatively, view this as the physics that determines the radial mixing length (Cowley) This is not a modulational instability -- amplitudes are too large, orderings strongly violated

Secondary Instability of ITG Mode Is the secondary physics analytically tractable?

Secondary Instability of ITG Mode Is the secondary physics analytically tractable? In the limit of high amplitude primary, low amplitude secondary, yes.

Secondary Instability of ITG Mode Is the secondary physics analytically tractable? In the limit of high amplitude primary, low amplitude secondary, yes. Best satisfied slightly before nonlinear breakup of primary

Secondary Instability of ITG Mode Analytical treatment tractable in limit of large amplitude primary, small amplitude secondaries Fully turbulent regime too complicated B N Rogers, W Dorland

Secondary Instability of ITG Mode Analytical treatment tractable in limit of large amplitude primary, small amplitude secondaries Fully turbulent regime too complicated Compare theoretically predicted secondary growth rate spectrum with simulation at t=62.3. B N Rogers, W Dorland

Secondary Instability of ITG Mode Secondary growth rate is much larger than primary growth rate Predicted spectrum in k x remarkably independent of primary mode s k y Data taken from complicated nonlinear simulation B N Rogers, W Dorland

Secondary Instability of ITG Mode Agreement in the limit of the analytical treatment is excellent (assumed simplified primary mode structure)

Secondary Instability of ITG Mode Agreement in the limit of the analytical treatment is excellent (assumed simplified primary mode structure) For each k x one must solve a 2-D eigenvalue problem: in the y (~ poloidal) direction and along the field line

Secondary Instability of ITG Mode Agreement in the limit of the analytical treatment is excellent (assumed simplified primary mode structure) For each k x one must solve a 2-D eigenvalue problem: in the y (~ poloidal) direction and along the field line Component which is constant in y and along field line is special

Secondary Instability of ITG Mode With trapped particles, part of the k y = 0 component of the eigenmode is linearly undamped in the collisionless limit; this is the Rosenbluth-Hinton zonal flow. Simulation: M A Beer, G D Kerbel, G W Hammett, W Dorland

Zonal Flows Can Quench Turbulence Typical spectrum of zonal flows from gyrokinetic simulation Strongly peaked at long wavelengths W M Nevins, W Dorland

Zonal Flows Can Quench Turbulence Near but above the linear threshold, Rosenbluth- Hinton zonal flows can quench turbulence (Dimits)

Zonal Flows Can Quench Turbulence Near but above the linear threshold, Rosenbluth- Hinton zonal flows can quench turbulence (Dimits) Leads to important question: Why doesn t this always happen? Equivalently, what limits the zonal flows well above the linear threshold?

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability Near Increasing the amplitude of the zonal flows increases the shear in the zonal flows, which decreases the growth rate of the primary

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability Near Increasing the amplitude of the zonal flows increases the shear in the zonal flows, which decreases the growth rate of the primary

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability Near Increasing the amplitude of the zonal flows increases the shear in the zonal flows, which decreases the growth rate of the primary

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability Near Increasing the amplitude of the zonal flows increases the shear in the zonal flows, which decreases the growth rate of the primary Further increases in the zonal flow amplitude lead to collisionless tertiary instability B N Rogers, W Dorland

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability Increasing the temperature gradient slightly removes window of stability altogether

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability Increasing the temperature gradient slightly removes window of stability altogether Although the Rosenbluth-Hinton zonal flows are linearly undamped, they are unstable to small perturbations above a threshold R/L T B N Rogers, W Dorland

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability So far: 1. ITG modes linearly unstable: primary

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability So far: 1. ITG modes linearly unstable: primary 2. Shear-flow instability limits growth of primary: secondary

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability So far: 1. ITG modes linearly unstable: primary 2. Shear-flow instability limits growth of primary: secondary 3. Zonal flow component of secondary quenches primary: Dimits shift

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability So far: 1. ITG modes linearly unstable: primary 2. Shear-flow instability limits growth of primary: secondary 3. Zonal flow component of secondary quenches primary: Dimits shift 4. Zonal flows unstable to tertiary: Stiff transport at higher R/L T

Zonal Flow Amplitude Limited by Collisionless Tertiary Instability So far: 1. ITG modes linearly unstable: primary 2. Shear-flow instability limits growth of primary: secondary 3. Zonal flow component of secondary quenches primary: Dimits shift 4. Zonal flows unstable to tertiary: Stiff transport at higher R/L T What happens with additional physics?

Ion-ion Collisions Damp Zonal Flows, Soften Threshold Focus analysis on region between linear critical gradient and effective nonlinear gradient

Ion-ion Collisions Damp Zonal Flows, Soften Threshold Ion-ion collisions damp zonal flows and thus increase turbulent transport (M N Rosenbluth, F Hinton, P Diamond, Z Lin, W W Lee, W M Tang, T S Hahm)

Ion-ion Collisions Damp Zonal Flows, Soften Threshold Ion-ion collisions damp zonal flows and thus increase turbulent transport (M N Rosenbluth, F Hinton, P Diamond, Z Lin, W W Lee, W M Tang, T S Hahm) Corollary: Confinement improvement expected in reactor-sized tokamaks

Non-adiabatic Electron Dynamics Reverse Effect of Collisionality Trapped electrons cause large increase in transport near marginal stability (Y Chen, S Parker; D Mikkelsen, D W Ross, W Dorland)

Non-adiabatic Electron Dynamics Reverse Effect of Collisionality Trapped electrons cause large increase in transport near marginal stability (Y Chen, S Parker; D Mikkelsen, D W Ross, W Dorland) Trapped electrons increase growth rate of primary, close zonal flow stability window; Dimits shift strongly reduced

Non-adiabatic Electron Dynamics Reverse Effect of Collisionality Trapped electrons cause large increase in transport near marginal stability (Y Chen, S Parker; D Mikkelsen, D W Ross, W Dorland) Trapped electrons increase growth rate of primary, close zonal flow stability window; Dimits shift strongly reduced Electron-ion collisions reduce non-adiabatic electron response, and thus reduce turbulent transport

Experimental Confirmation of Dimits Shift at High Collisionality C-Mod H-mode 960116027 at half radius IFS-PPPL model overpredicts transport Nonlinear GS2 Simulations

High Collisionality Outlier from ITER Profile Database has Dimits Shift C-Mod H-mode 960116027 at half radius IFS-PPPL model overpredicts transport Nonlinear GS2 Simulations Gyrokinetic simulations show Dimits shift effect improves agreement General geometry, kinetic electrons, Lorentz collisions D Mikkelsen, M Kotschenreuther W Dorland

Lowering Collisionality Increases Predicted Heat Flux IFS-PPPL model Lowering overall collisionality by factor of 5 increases predicted transport

Lowering Collisionality Increases Predicted Heat Flux IFS-PPPL model Lowering overall collisionality by factor of 5 increases predicted transport Lowering only ion-ion collisionality by factor of 5 has small effect, near knee of Dimits shift

Lowering Collisionality Increases Predicted Heat Flux IFS-PPPL model Lowering overall collisionality by factor of 5 increases predicted transport Lowering only ion-ion collisionality by factor of 5 has small effect, near knee of Dimits shift Results consistent with high collisionality outliers from profile database effort D Mikkelsen, W Dorland

Gyrokinetic Simulations are Stimulating and Guiding Broad Theoretical Advances

Gyrokinetic Simulations are Stimulating and Guiding Broad Theoretical Advances 1. Ion-scale physics 2. Electron-scale physics

Realistic Electron Dynamics Allows Simulation of Particle Transport Profiles from Tore-Supra Electron Cyclotron Heating Ion temperature profile somewhat uncertain No obvious central particle source

Realistic Electron Dynamics Allows Simulation of Particle Transport Profiles from Tore-Supra Electron Cyclotron Heating Ion temperature profile somewhat uncertain No obvious central particle source

Realistic Electron Dynamics Allows Simulation of Particle Transport Profiles from Tore-Supra Electron Cyclotron Heating Ion temperature profile somewhat uncertain No obvious central particle source

Realistic Electron Dynamics Allows Simulation of Particle Transport Profiles from Tore-Supra Electron Cyclotron Heating Ion temperature profile somewhat uncertain No obvious central particle source

Realistic Electron Dynamics Allows Simulation of Particle Transport Simulations near half-radius Density gradient observed in experiment Focus on TEM+ITG instabilities

Realistic Electron Dynamics Allows Simulation of Particle Transport Simulations near half-radius Density gradient observed in experiment Focus on TEM+ITG instabilities

Realistic Electron Dynamics Allows Simulation of Particle Transport Simulations near half-radius Density gradient observed in experiment Focus on TEM+ITG instabilities

Realistic Electron Dynamics Allows Simulation of Particle Transport Varied ion R/L T around nominal value Here, R/L Ti increase (to nominal value) at t = 700 causes particle flux to reverse (pinch) Trapped electron effect? K Hallatschek, W Dorland F Jenko, T Hoang

Realistic Electron Dynamics Allows Simulation of Particle Transport Varied ion R/L T around nominal value Here, R/L Ti increase (to nominal value) at t = 700 causes particle flux to reverse (pinch) Trapped electron effect? K Hallatschek, W Dorland F Jenko, T Hoang

Realistic Electron Dynamics Allows Simulation of Particle Transport Varied ion R/L T around nominal value Here, R/L Ti increase (to nominal value) at t = 700 causes particle flux to reverse (pinch) Trapped electron effect? K Hallatschek, W Dorland F Jenko, T Hoang

Passing Electrons Dominate Pinch Integrated particle flux vs pitch angle shows relative contributions to total flux Hybrid PIC-fluid models that assume passing electrons are adiabatic will miss effect Direct comparison with experiment possible K Hallatschek, W Dorland

Passing Electrons Dominate Pinch Integrated particle flux vs pitch angle shows relative contributions to total flux Hybrid PIC-fluid models that assume passing electrons are adiabatic will miss effect Direct comparison with experiment possible K Hallatschek, W Dorland

Passing Electrons Dominate Pinch Integrated particle flux vs pitch angle shows relative contributions to total flux Hybrid PIC-fluid models that assume passing electrons are adiabatic will miss effect Direct comparison with experiment possible K Hallatschek, W Dorland

At r e Scales, New Physics Emerges: Return to Parasitic Instability Theory for Guidance

Secondary Structure at r i Scales Secondary physics reduces to 2D eigenvalue problem: along the field line, and in the y direction (perp to B and y)

Secondary Structure at r i Scales Secondary physics reduces to 2D eigenvalue problem: along the field line, and in the y direction (perp to B and y) Shown here are the dominant Fourier harmonics of the solution in the long wavelength (ITG) limit

Secondary Structure at r i Scales Secondary physics reduces to 2D eigenvalue problem: along the field line, and in the y direction (perp to B and y) Shown here are the dominant Fourier harmonics of the solution in the long wavelength (ITG) limit Note presence of significant zonal flow component (constant along field line, k y =0)

At r e Scales, Secondaries Change Ë Quickly establish terminology: Secondary driven by perpendicular shear of perpendicular flows that are associated with the primary instability will be the Rogers secondary; this has been the main secondary so far

At r e Scales, Secondaries Change Ë Quickly establish terminology: Secondary driven by perpendicular shear of perpendicular flows that are associated with the primary instability will be the Rogers secondary; this has been the main secondary so far The secondary driven by perpendicular shear of parallel flows that are associated with the primary instability will be the Cowley secondary; this was the first secondary identified as potentially important in ITG/ETG turbulence

Rogers Secondary at r e Scales Shown here are the dominant Fourier harmonics of the Rogers secondary in the short wavelength (ETG) limit

Rogers Secondary at r e Scales Shown here are the dominant Fourier harmonics of the Rogers secondary in the short wavelength (ETG) limit At small scales, adiabatic ion response comes from gyration, not streaming along field line; weakens Rogers secondary

Rogers Secondary at r e Scales Shown here are the dominant Fourier harmonics of the Rogers secondary in the short wavelength (ETG) limit At small scales, adiabatic ion response comes from gyration, not streaming along field line; weakens Rogers secondary Note absence of zonal flow component (constant along field line, k y =0) W Dorland, B N Rogers, F Jenko

Cowley Secondary at r e Scales If primary instability requires significant parallel compressibility (e.g., the sheared-slab h e mode) the Cowley secondary is excited

Cowley Secondary at r e Scales If primary instability requires significant parallel compressibility (e.g., the sheared-slab h e mode) the Cowley secondary is excited Shown here are the dominant Fourier harmonics of the Cowley secondary in the short wavelength (ETG) limit

Cowley Secondary at r e Scales If primary instability requires significant parallel compressibility (e.g., the sheared-slab h e mode) the Cowley secondary is excited Shown here are the dominant Fourier harmonics of the Cowley secondary in the short wavelength (ETG) limit Again, note absence of zonal flow component (constant along field line, k y =0) S C Cowley, W Dorland

Cowley Secondary at r e Scales If primary instability requires significant parallel compressibility (e.g., the sheared-slab h e mode) the Cowley secondary is excited Shown here are the dominant Fourier harmonics of the Cowley secondary in the short wavelength (ETG) limit Again, note absence of zonal flow component (constant along field line, k y =0) S C Cowley, W Dorland

Cowley Secondary Strong on r e Scales Theoretically predicted: growth rate; parallel wavenumber increasing with the amplitude of the primary

Cowley Secondary Strong on r e Scales Theoretically predicted: growth rate; parallel wavenumber increasing with the amplitude of the primary Cowley secondary not weakened like Rogers at small scales; breaks up streamers when excited

Cowley Secondary Strong on r e Scales Theoretically predicted: growth rate; parallel wavenumber increasing with the amplitude of the primary Cowley secondary not weakened like Rogers at small scales; breaks up streamers when excited Zonal flows irrelevant on r e scales because drive is weak and tertiary is strong

Balance of Primaries, Secondaries and Tertiaries Explains Simulations Foregoing predicts slab ITG/ETG should be similar (in normalized units) because slab primary requires parallel compressibility

Balance of Primaries, Secondaries and Tertiaries Explains Simulations Foregoing predicts slab ITG/ETG should be similar (in normalized units) because slab primary requires parallel compressibility In the limit of constant curvature, parallel compressibility irrelevant to primary, so normalized ETG saturation level should be much higher

Balance of Primaries, Secondaries and Tertiaries Predicts Simulations Major result: Balance of primary and secondary growth rates predicts when high amplitude streamer transport is found with simulations

Balance of Primaries, Secondaries and Tertiaries Predicts Simulations Major result: Balance of primary and secondary growth rates predicts when high amplitude streamer transport is found with simulations Toroidal ETG branch most dangerous F Jenko, W Dorland

Experimental Confirmation of Theory? ETG threshold formula obtained from GS2 Tore-Supra finds T e profile is stiff above a critical gradient F Jenko, G W Hammett W Dorland Experimental and theoretical thresholds similar and GK ETG simulations predict experimental stiffness beyond threshold

NSTX Confinement Consistent with Gyrokinetic Predictions Gyrokinetic analysis of NSTX discharges indicates long wavelength instabilities weak or non-existent, but ETG modes unstable C Bourdelle, W Dorland, NSTX team

NSTX Confinement Consistent with Gyrokinetic Predictions Gyrokinetic analysis of NSTX discharges indicates long wavelength instabilities weak or non-existent, but ETG modes unstable TRANSP analysis of NSTX discharges indicates electrons are dominant energy loss channel (not shown) C Bourdelle, W Dorland, NSTX team

NSTX Confinement Consistent with Gyrokinetic Predictions Gyrokinetic analysis of NSTX discharges indicates long wavelength instabilities weak or non-existent, but ETG modes unstable TRANSP analysis of NSTX discharges indicates electrons are dominant energy loss channel (not shown) Detailed results in press C Bourdelle, W Dorland, NSTX team

Can Higher b and Higher b Gradient Improve ST Confinement? GK analysis of NSTX data suggests confirmation of long wavelength second microstability predictions for ST C Bourdelle, G W Hammett W Dorland, et al. -db/dr

Can Higher b and Higher b Gradient Improve ST Confinement? GK analysis of NSTX data suggests confirmation of long wavelength second microstability predictions for ST C Bourdelle, G W Hammett W Dorland, et al. -db/dr GK simulations of ETG turbulence indicate 1/b scaling of electron energy diffusion coefficient in some regimes F Jenko, W Dorland

Conclusions Ë First-principles simulation of turbulence in fusion plasmas is a rapidly maturing area. Gyrokinetic simulations are explaining experimental data. For example: 1. ETG turbulence identified in NSTX 2. ITG turbulence identified in C-Mod 3. TEM-induced particle transport identified in Tore Supra? Ë Parasitic instability model is a useful theoretical framework for understanding nonlinear simulation results. Competition among primary, secondary and tertiary instabilities explains simulation results.

Nonlinear Physics Benchmarked Among Independent Codes GS2 and GENE, benchmark of heat flux for toroidal ETG turbulence F Jenko, W Dorland

Nature of Secondary Instabilities Primary instabilities have radial widths ~ 1/sqrt(n) and poloidal widths ~ 1/n Since n >> 1, linear modes look like streamers Note: Flux tube simulations typically ignore radial envelope because nonlinear coupling dominates: turbulent radial correlation length ~ 1/n

Alpha Heating + Neoclassical Transport + ST = Stable Profiles Simple alpha power deposition model + self-consistent bootstrap current + small seed current on axis + neoclassical transport + electron energy transport (possibly strong) in ST configuration predicted to yield MHD- and micro-stable profiles. W Dorland, M Kotschenreuther

Alpha Heating + Neoclassical Transport + ST = Stable Profiles Simple alpha power deposition model + self-consistent bootstrap current + small seed current on axis + neoclassical transport + electron energy transport (possibly strong) in ST configuration predicted to yield MHD- and micro-stable profiles. Need higher b! But particle transport problem? W Dorland, M Kotschenreuther

Experimental Confirmation of Theory? ETG threshold formula obtained from approx. 3000 GS2 runs (F Jenko, W Dorland, G W Hammett)

Experimental Confirmation of Theory? ETG threshold formula obtained from approx. 3000 GS2 runs (F Jenko, W Dorland, G W Hammett) Smoothly interpolates analytical results of Romanelli (toroidal) and Hahm-Tang (slab)

Experimental Confirmation of Theory? ETG threshold formula obtained from approx. 3000 GS2 runs (F Jenko, W Dorland, G W Hammett) Smoothly interpolates analytical results of Romanelli (toroidal) and Hahm-Tang (slab) Tore-Supra finds T e profile is stiff above a critical gradient

Linear Physics Benchmarked for Wide Range of Problems Linear microstability calculations for NCSX with GS2 and FULL agree E Belli, G Rewoldt, G W Hammett, W Dorland

Nature of Secondary Instabilities Adequate resolution of radial structures is challenging, but achievable

Nature of Secondary Instabilities Adequate resolution of radial structures is challenging, but achievable In normalized units, ETG transport is much larger than ITG transport when streamers are observed

Nature of Secondary Instabilities Adequate resolution of radial structures is challenging, but achievable In normalized units, ETG transport is much larger than ITG transport when streamers are observed The difference can be traced to differences in secondary and tertiary physics W Dorland, F Jenko, B N Rogers