%% QUICK RUN SCRIPT % This script create a directory in /results and run a simulation directly % from matlab framework. It is meant to run only small problems in linear % for benchmark and debugging purpose since it makes matlab "busy" % RUN = 1; % To run or just to load addpath(genpath('../matlab')) % ... add default_plots_options HELAZDIR = '/home/ahoffman/HeLaZ/'; EXECNAME = 'helaz3'; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% Set Up parameters CLUSTER.TIME = '99:00:00'; % allocation time hh:mm:ss %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% PHYSICAL PARAMETERS NU = 0.01; % Collision frequency TAU = 1.0; % e/i temperature ratio K_N = 2.22;%2.0; % Density gradient drive K_T = 6.96;%0.25*K_N; % Temperature ''' K_E = 0.0; % Electrostat ''' % SIGMA_E = 0.05196152422706632; % mass ratio sqrt(m_a/m_i) (correct = 0.0233380) SIGMA_E = 0.0233380; % mass ratio sqrt(m_a/m_i) (correct = 0.0233380) KIN_E = 0; % 1: kinetic electrons, 2: adiabatic electrons BETA = 0e-1; % electron plasma beta %% GRID PARAMETERS PMAXE = 12; % Hermite basis size of electrons JMAXE = 6; % Laguerre " PMAXI = 4; % " ions JMAXI = 2; % " NX = 16; % real space x-gridpoints NY = 2; % '' y-gridpoints LX = 2*pi/0.1; % Size of the squared frequency domain LY = 2*pi/0.3; % Size of the squared frequency domain NZ = 32; % number of perpendicular planes (parallel grid) NPOL = 1; SG = 0; % Staggered z grids option %% GEOMETRY % GEOMETRY= 'Z-pinch'; % Z-pinch overwrites q0, shear and eps GEOMETRY= 's-alpha'; Q0 = 1.4; % safety factor SHEAR = 0.8; % magnetic shear (Not implemented yet) EPS = 0.18; % inverse aspect ratio %% TIME PARMETERS TMAX = 20; % Maximal time unit DT = 1e-2; % Time step SPS0D = 1; % Sampling per time unit for 2D arrays SPS2D = 0; % Sampling per time unit for 2D arrays SPS3D = 1; % Sampling per time unit for 2D arrays SPS5D = 1/5; % Sampling per time unit for 5D arrays SPSCP = 0; % Sampling per time unit for checkpoints JOB2LOAD= -1; %% OPTIONS SIMID = 'linear_CBC'; % Name of the simulation LINEARITY = 'linear'; % activate non-linearity (is cancelled if KXEQ0 = 1) % Collision operator % (LB:L.Bernstein, DG:Dougherty, SG:Sugama, LR: Lorentz, LD: Landau) CO = 'DG'; GKCO = 0; % gyrokinetic operator ABCO = 1; % interspecies collisions INIT_ZF = 0; ZF_AMP = 0.0; CLOS = 0; % Closure model (0: =0 truncation, 1: gyrofluid closure (p+2j<=Pmax))s NL_CLOS = 0; % nonlinear closure model (-2:nmax=jmax; -1:nmax=jmax-j; >=0:nmax=NL_CLOS) KERN = 0; % Kernel model (0 : GK) INIT_OPT= 'phi'; % Start simulation with a noisy mom00/phi/allmom %% OUTPUTS W_DOUBLE = 1; W_GAMMA = 1; W_HF = 1; W_PHI = 1; W_NA00 = 1; W_DENS = 1; W_TEMP = 1; W_NAPJ = 1; W_SAPJ = 0; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % unused HD_CO = 0.0; % Hyper diffusivity cutoff ratio kmax = NX*pi/LX;% Highest fourier mode MU = 0.0; % Hyperdiffusivity coefficient INIT_BLOB = 0; WIPE_TURB = 0; ACT_ON_MODES = 0; MU_X = MU; % MU_Y = MU; % N_HD = 4; MU_Z = 2.0; % MU_P = 0.0; % MU_J = 0.0; % LAMBDAD = 0.0; NOISE0 = 0.0e-5; % Init noise amplitude BCKGD0 = 1.0; % Init background GRADB = 1.0; CURVB = 1.0; %%------------------------------------------------------------------------- %% RUN setup % system(['rm fort*.90']); % Run linear simulation if RUN % system(['cd ../results/',SIMID,'/',PARAMS,'/; time mpirun -np 4 ',HELAZDIR,'bin/',EXECNAME,' 1 4 1 0; cd ../../../wk']) % system(['cd ../results/',SIMID,'/',PARAMS,'/; mpirun -np 4 ',HELAZDIR,'bin/',EXECNAME,' 1 4 1 0; cd ../../../wk']) % system(['cd ../results/',SIMID,'/',PARAMS,'/; mpirun -np 1 ',HELAZDIR,'bin/',EXECNAME,' 1 1 1 0; cd ../../../wk']) system(['cd ../results/',SIMID,'/',PARAMS,'/; mpirun -np 6 ',HELAZDIR,'bin/',EXECNAME,' 1 2 3 0; cd ../../../wk']) % system(['cd ../results/',SIMID,'/',PARAMS,'/; mpirun -np 6 ',HELAZDIR,'bin/',EXECNAME,' 1 6 1 0; cd ../../../wk']) end %% Load results %% filename = [SIMID,'/',PARAMS,'/']; LOCALDIR = [HELAZDIR,'results/',filename,'/']; % Load outputs from jobnummin up to jobnummax JOBNUMMIN = 00; JOBNUMMAX = 00; data = compile_results(LOCALDIR,JOBNUMMIN,JOBNUMMAX); %Compile the results from first output found to JOBNUMMAX if existing %% Short analysis if 1 %% linear growth rate (adapted for 2D zpinch and fluxtube) trange = [0.5 1]*data.Ts3D(end); nplots = 1; lg = compute_fluxtube_growth_rate(data,trange,nplots); [gmax, kmax] = max(lg.g_ky(:,end)); [gmaxok, kmaxok] = max(lg.g_ky(:,end)./lg.ky); msg = sprintf('gmax = %2.2f, kmax = %2.2f',gmax,lg.ky(kmax)); disp(msg); msg = sprintf('gmax/k = %2.2f, kmax/k = %2.2f',gmaxok,lg.ky(kmaxok)); disp(msg); end if 0 %% Ballooning plot options.time_2_plot = [120]; options.kymodes = [0.1 0.2 0.3]; options.normalized = 1; options.field = 'phi'; fig = plot_ballooning(data,options); end if 0 %% Hermite-Laguerre spectrum % options.TIME = 'avg'; options.P2J = 1; options.ST = 1; options.PLOT_TYPE = 'space-time'; % options.PLOT_TYPE = 'Tavg-1D'; % options.PLOT_TYPE = 'Tavg-2D'; options.NORMALIZED = 0; options.JOBNUM = 0; options.TIME = [0 50]; options.specie = 'i'; options.compz = 'avg'; fig = show_moments_spectrum(data,options); % fig = show_napjz(data,options); save_figure(data,fig) end if 0 %% linear growth rate for 3D Zpinch (kz fourier transform) trange = [0.5 1]*data.Ts3D(end); options.keq0 = 1; % chose to plot planes at k=0 or max options.kxky = 1; options.kzkx = 0; options.kzky = 0; [lg, fig] = compute_3D_zpinch_growth_rate(data,trange,options); save_figure(data,fig) end if 0 %% Mode evolution options.NORMALIZED = 1; options.K2PLOT = 1; options.TIME = [0 1]*data.Ts3D(end); options.NMA = 1; options.NMODES = 1; options.iz = 9; fig = mode_growth_meter(data,options); save_figure(gbms_dat,fig) end if 0 %% RH TEST ikx = 2; t0 = 0; t1 = data.Ts3D(end); [~, it0] = min(abs(t0-data.Ts3D));[~, it1] = min(abs(t1-data.Ts3D)); plt = @(x) squeeze(mean(real(x(1,ikx,:,it0:it1)),3))./squeeze(mean(real(x(1,ikx,:,it0)),3)); figure plot(data.Ts3D(it0:it1), plt(data.PHI)); xlabel('$t$'); ylabel('$\phi_z(t)/\phi_z(0)$') title(sprintf('$k_x=$%2.2f, $k_y=0.00$',data.kx(ikx))) end