Spatial coupling of gyrokinetic simulations, a generalized scheme based on first-principles

Dominski, Julien; Cheng, J.; Merlo, G.; Carey, V.; Hager, R.; Ricketson, L.; Choi, Jong Youl; Ethier, S.; Germaschewski, K.; Ku, S.; Mollen, A.; Podhorszki, Norbert; Pugmire, Dave; Suchyta, Eric; Trivedi, P.; Wang, Ruonan; Chang, C. S.; Hittinger, J.; Jenko, F.; Klasky, Scott; Parker, S. E.; Bhattacharjee, A.

doi:10.1063/5.0027160

Spatial coupling of gyrokinetic simulations, a generalized scheme based on first-principles

Journal Article · Sun Jan 31 23:00:00 EST 2021 · Physics of Plasmas

DOI:https://doi.org/10.1063/5.0027160· OSTI ID:1814291

^[1]; ^[2]; ^[3]; Carey, V. ^[4]; ^[1]; ^[5]; ^[6]; Ethier, S. ^[1]; ^[7]; Ku, S. ^[1]; ^[1]; ^[6]; ^[6]; ^[6]; Trivedi, P. ^[1]; Wang, Ruonan ^[6]; ^[1]; ^[5]; ^[8]; Klasky, Scott ^[6] more »

Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Univ. of Colorado, Boulder, CO (United States)
Univ. of Texas, Austin, TX (United States)
Univ. of Colorado, Denver, CO (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. of New Hampshire, Durham, NH (United States)
Univ. of Texas, Austin, TX (United States); Max-Planck-Institut für Plasmaphysik, Garching (Germany)

In this paper, we present a scheme that spatially couples two gyrokinetic codes using first-principles. Coupled equations are presented and a necessary and sufficient condition for ensuring accuracy is derived. This new scheme couples both the field and the particle distribution function. The coupling of the distribution function is only performed once every few time-steps, using a five-dimensional (5D) grid to communicate the distribution function between the two codes. This 5D grid interface enables the coupling of different types of codes and models, such as particle and continuum codes, or delta-f and total-f models. Transferring information from the 5D grid to the marker particle weights is achieved using a new resampling technique. Demonstration of the coupling scheme is shown using two XGC gyrokinetic simulations for both the core and edge. We also apply the coupling scheme to two continuum simulations for a one-dimensional advection–diffusion problem.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: AC02-09CH11466; AC02-05CH11231; AC05-00OR22725

OSTI ID:: 1814291

Alternate ID(s):: OSTI ID: 1815374
OSTI ID: 1763841

Journal Information:: Physics of Plasmas, Journal Name: Physics of Plasmas Journal Issue: 2 Vol. 28; ISSN 1070-664X

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

References (17)

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks: HELLO ADIOS Liu, Qing; Logan, Jeremy; Tian, Yuan Concurrency and Computation: Practice and Experience, Vol. 26, Issue 7 https://doi.org/10.1002/cpe.3125	journal	August 2013
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned Kim, Mark; Kress, James; Choi, Jong High Performance Computing: ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers, 230-242 https://doi.org/10.1007/978-3-030-02465-9_16	book	January 2018
Rapid Fourier space solution of linear partial integro-differential equations in toroidal magnetic confinement geometries McMillan, B. F.; Jolliet, S.; Bottino, A. Computer Physics Communications, Vol. 181, Issue 4 https://doi.org/10.1016/j.cpc.2009.12.001	journal	April 2010
Electromagnetic gyrokinetic δf particle-in-cell turbulence simulation with realistic equilibrium profiles and geometry Chen, Yang; Parker, Scott E. Journal of Computational Physics, Vol. 220, Issue 2 https://doi.org/10.1016/j.jcp.2006.05.028	journal	January 2007
The global version of the gyrokinetic turbulence code GENE Görler, T.; Lapillonne, X.; Brunner, S. Journal of Computational Physics, Vol. 230, Issue 18 https://doi.org/10.1016/j.jcp.2011.05.034	journal	August 2011
Moment preserving constrained resampling with applications to particle-in-cell methods Faghihi, D.; Carey, V.; Michoski, C. Journal of Computational Physics, Vol. 409 https://doi.org/10.1016/j.jcp.2020.109317	journal	May 2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management Godoy, William F.; Podhorszki, Norbert; Wang, Ruonan SoftwareX, Vol. 12 https://doi.org/10.1016/j.softx.2020.100561	journal	July 2020
An iterative approach to an arbitrarily short-wavelength solver in global gyrokinetic simulations Mishchenko, Alexey; Hatzky, Roman; Sonnendrücker, Eric Journal of Plasma Physics, Vol. 85, Issue 1 https://doi.org/10.1017/S0022377819000138	journal	February 2019
Particle simulations with a generalized gyrokinetic solver Mishchenko, Alexey; Könies, Axel; Hatzky, Roman Physics of Plasmas, Vol. 12, Issue 6 https://doi.org/10.1063/1.1925587	journal	June 2005
An arbitrary wavelength solver for global gyrokinetic simulations. Application to the study of fine radial structures on microturbulence due to non-adiabatic passing electron dynamics Dominski, J.; McMillan, B. F.; Brunner, S. Physics of Plasmas, Vol. 24, Issue 2 https://doi.org/10.1063/1.4976120	journal	February 2017
A fast low-to-high confinement mode bifurcation dynamics in the boundary-plasma gyrokinetic code XGC1 Ku, S.; Chang, C. S.; Hager, R. Physics of Plasmas, Vol. 25, Issue 5 https://doi.org/10.1063/1.5020792	journal	May 2018
Cross-verification of the global gyrokinetic codes GENE and XGC Merlo, G.; Dominski, J.; Bhattacharjee, A. Physics of Plasmas, Vol. 25, Issue 6 https://doi.org/10.1063/1.5036563	journal	June 2018
A tight-coupling scheme sharing minimum information across a spatial interface between gyrokinetic turbulence codes Dominski, J.; Ku, S.; Chang, C. -S. Physics of Plasmas, Vol. 25, Issue 7 https://doi.org/10.1063/1.5044707	journal	July 2018
Electron temperature gradient driven turbulence Jenko, F.; Dorland, W.; Kotschenreuther, M. Physics of Plasmas, Vol. 7, Issue 5 https://doi.org/10.1063/1.874014	journal	May 2000
Spatial core-edge coupling of the particle-in-cell gyrokinetic codes GEM and XGC Cheng, Junyi; Dominski, Julien; Chen, Yang Physics of Plasmas, Vol. 27, Issue 12 https://doi.org/10.1063/5.0026043	journal	December 2020
First coupled GENE–XGC microturbulence simulations Merlo, G.; Janhunen, S.; Jenko, F. Physics of Plasmas, Vol. 28, Issue 1 https://doi.org/10.1063/5.0026661	journal	January 2021
Foundations of nonlinear gyrokinetic theory Brizard, A. J.; Hahm, T. S. Reviews of Modern Physics, Vol. 79, Issue 2 https://doi.org/10.1103/RevModPhys.79.421	journal	April 2007

Similar Records

Implementation of higher-order velocity mapping between marker particles and grid in the particle-in-cell code XGC

Dataset · Thu Apr 01 00:00:00 EDT 2021 · OSTI ID:1814952

Implementation of higher-order velocity mapping between marker particles and grid in the particle-in-cell code XGC

Journal Article · Tue May 04 00:00:00 EDT 2021 · Journal of Plasma Physics · OSTI ID:1804610

Related Subjects

70 PLASMA PHYSICS AND FUSION TECHNOLOGY
Vlasov equation
Voronoi diagrams
computer simulation
functions and functionals
gyrokinetic simulations
optimization problems
partial differential equations
particle distribution functions
particle-in-cell method
tokamaks

Spatial coupling of gyrokinetic simulations, a generalized scheme based on first-principles

Citation Formats

References (17)

Similar Records

Related Subjects