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%% QUICK RUN SCRIPT
% This script creates a directory in /results and runs a simulation directly
% from the Matlab framework. It is meant to run only small problems in linear
% for benchmarking and debugging purposes since it makes Matlab "busy".
%% Set up the paths for the necessary Matlab modules
wkdir = pwd;
gyacomodir = wkdir(1:end-2);
mpirun = 'mpirun';
% mpirun = '/opt/homebrew/bin/mpirun'; % for macos
addpath(genpath([gyacomodir,'matlab'])) % Add matlab folder
addpath(genpath([gyacomodir,'matlab/plot'])) % Add plot folder
addpath(genpath([gyacomodir,'matlab/compute'])) % Add compute folder
addpath(genpath([gyacomodir,'matlab/load'])) % Add load folder
addpath(genpath([gyacomodir,'wk/parameters'])) % Add parameters folder
%% Setup run or load an executable
RUN = 1; % To run or just to load
RERUN = 0; % rerun if the data does not exist
default_plots_options
% EXECNAME = 'gyacomo23_sp'; % single precision
EXECNAME = 'gyacomo23_dp'; % double precision
%% Setup parameters
% run lin_DTT_AB_rho85
% run lin_DTT_AB_rho98
% run lin_JET_rho97
% run lin_Entropy
% run lin_ITG
% run lin_RHT
% rho = 0.95; TRIANG = 'PT'; READPROF = 1;
% prof_folder = ['parameters/profiles/DIIID_Austin_et_al_2019/',TRIANG,'/'];
% prof_folder = ['parameters/profiles/DIIID_Oak_Nelson/',TRIANG,'/'];
% prof_folder = ['parameters/profiles/DIIID_Oak_Nelson_high_density/',TRIANG,'/'];
% run lin_DIIID_data
run lin_DIIID_LM_rho95
%% Change parameters
% NU = 1;
% TAU = 1;
NY = 2;
S_DELTA = DELTA/2;
% EXBRATE = 0;
% S_DELTA = min(2.0,S_DELTA);
% SIGMA_E = 0.023;
% NEXC = 0;
LX = 120;
%% Scan parameters
SIMID = [SIMID,TRIANG,'_scan'];
P_a = [2 4 8 16]; J_a = [1 2 4 8];
% P_a = [2 4]; J_a = [1 1];
% P_a = 2;
% ky_a = [0.01 0.02 0.05 0.1 0.2 0.5 1.0 2.0 5.0 10.0];
ky_a = [0.05 linspace(0.1,1.1,16)]; ky_a = ky_a(1:end-2);
% ky_a = 4.0;
% dt_a = logspace(-2,-3,numel(ky_a));
CO = 'DG';
% KEM
NA = 2; ADIAB_E = 0; DT = 5e-4; DTSAVE3D = 5e-3; TMAX = 60;
% AEM
% NA = 1; ADIAB_E = 1; DT = 1e-3; DTSAVE3D = 5e-2; TMAX = 60;
%RFM
% NA = 1; ADIAB_E = 1; DT = 5e-3; DTSAVE3D = 1e-2; TMAX = 60;
% TAU = 1e-3; K_Ti = K_Ti/2/TAU; K_Ni = 0;
% NU = 3*NU/8/TAU; P_a = 2; J_a = 1; ky_a = 2*ky_a;
K_Ni = 0;
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%% Scan loop
% arrays for the result
g_ky = zeros(numel(ky_a),numel(P_a));
g_std= g_ky*0;
w_ky = g_ky*0;
w_std= g_ky*0;
j = 1;
for PMAX = P_a
JMAX = J_a(j);
i = 1;
for ky = ky_a
LY = 2*pi/ky;
DTSAVE0D = 1.0;
DTSAVE3D = 0.5;
%% RUN
setup
% naming
filename = [SIMID,'/',PARAMS,'/'];
LOCALDIR = [gyacomodir,'results/',filename,'/'];
% check if data exist to run if no data
data_ = {};
try
data_ = compile_results_low_mem(data_,LOCALDIR,00,00);
Ntime = numel(data_.Ts0D);
catch
data_.outfilenames = [];
end
if RUN && (RERUN || isempty(data_.outfilenames) || (Ntime < 10))
MVIN =['cd ',LOCALDIR,';'];
% RUNG =['time ',mpirun,' -np 2 ',gyacomodir,'bin/',EXECNAME,' 1 2 1 0;'];
RUNG =['time ',mpirun,' -np 4 ',gyacomodir,'bin/',EXECNAME,' 1 2 2 0;'];
% RUNG =['time ',mpirun,' -np 8 ',gyacomodir,'bin/',EXECNAME,' 2 2 2 0;'];
% RUNG =['time ',mpirun,' -np 1 ',gyacomodir,'bin/',EXECNAME,' 1 1 1 0;'];
% RUNG = ['./../../../bin/gyacomo23_sp 0;'];
MVOUT=['cd ',wkdir,';'];
system([MVIN,RUNG,MVOUT]);
end
data_ = compile_results_low_mem(data_,LOCALDIR,00,00);
[data_.PHI, data_.Ts3D] = compile_results_3D(LOCALDIR,00,00,'phi');
if numel(data_.Ts0D)>10
% Load results after trying to run
filename = [SIMID,'/',PARAMS,'/'];
LOCALDIR = [gyacomodir,'results/',filename,'/'];
data_ = compile_results_low_mem(data_,LOCALDIR,00,00);
[data_.PHI, data_.Ts3D] = compile_results_3D(LOCALDIR,00,00,'phi');
options.NORMALIZED = 0;
options.TIME = data_.Ts3D;
% Time window to measure the growth of kx/ky modes
options.KY_TW = [0.7 1.0]*data_.Ts3D(end);
options.KX_TW = [0.7 1.0]*data_.Ts3D(end);
options.NMA = 1; % Set NMA option to 1
options.NMODES = 999; % Set how much modes we study
options.iz = 'avg'; % Compressing z
options.ik = 1; %
options.GOK2 = 0; % plot gamma/k^2
options.fftz.flag = 0; % Set fftz.flag option to 0
options.FIELD = 'phi';
options.SHOWFIG = 0;
[fig, wkykx, ekykx] = mode_growth_meter(data_,options);
% [wkykx,ekykx] = compute_growth_rates(data_.PHI(:,:,:,it1:it2),data_.Ts3D(it1:it2));
g_ky (i,j) = real(wkykx(2,1));
g_std(i,j) = real(ekykx(2,1));
w_ky (i,j) = imag(wkykx(2,1));
w_std(i,j) = imag(ekykx(2,1));
[gmax, ikmax] = max(g_ky(i,j));
msg = sprintf('gmax = %2.2f, kmax = %2.2f',gmax,data_.grids.ky(ikmax)); disp(msg);
end
i = i + 1;
end
j = j + 1;
end
%% take max growth rate among z coordinate
y_ = g_ky + 1i*w_ky;
e_ = g_std+ 1i*w_std;
%% Save scan results (gamma)
if(numel(ky_a)>1 || numel(P_a)>1)
pmin = num2str(min(P_a)); pmax = num2str(max(P_a));
kymin = num2str(min(ky_a)); kymax= num2str(max(ky_a));
filename = [num2str(NX),'x',num2str(NZ),...
'_ky_',kymin,'_',kymax,...
'_P_',pmin,'_',pmax,...
'_kN_',num2str(K_Ni),...
'_',CONAME,'_',num2str(NU),'_be_',num2str(BETA),...,
'_d_',num2str(DELTA),'.mat'];
metadata.name = filename;
metadata.kymin = ky;
metadata.title = ['$\nu_{',CONAME,'}=$',num2str(NU),'$\kappa_T=$',num2str(K_Ti),', $\kappa_N=$',num2str(K_Ni)];
metadata.par = [num2str(NX),'x1x',num2str(NZ)];
metadata.nscan = 2;
metadata.s2name = '$P$';
metadata.s2 = P_a;
metadata.s1name = '$ky$';
metadata.s1 = ky_a;
metadata.dname = '$\gamma c_s/R$';
metadata.data = y_;
metadata.err = e_;
save([SIMDIR,filename],'-struct','metadata');
disp(['saved in ',SIMDIR,filename]);
% plot
if 1
gamma = real(metadata.data); g_err = real(metadata.err);
omega = imag(metadata.data); w_err = imag(metadata.err);
gamma = gamma.*(gamma>0.025);
figure
colors_ = jet(numel(metadata.s2));
subplot(121)
for i = 1:numel(metadata.s2)
errorbar(metadata.s1,gamma(:,i),0*g_err(:,i),'s-',...
'LineWidth',2.0,...
'DisplayName',[metadata.s2name,'=',num2str(metadata.s2(i))],...
'color',colors_(i,:));
hold on;
end
xlabel(metadata.s1name); ylabel(metadata.dname);title(metadata.title);
xlim([metadata.s1(1) metadata.s1(end)]);
subplot(122)
for i = 1:numel(metadata.s2)
errorbar(metadata.s1,omega(:,i),w_err(:,i),'s-',...
'LineWidth',2.0,...
'DisplayName',[metadata.s2name,'=',num2str(metadata.s2(i))],...
'color',colors_(i,:));
hold on;
end
xlabel(metadata.s1name); ylabel('$\omega R/c_s$');title(metadata.title);
xlim([metadata.s1(1) metadata.s1(end)]);
colormap(colors_);
clb = colorbar;
clim([1 numel(metadata.s2)+1]);
clb.Ticks=linspace(metadata.s2(1),metadata.s2(end),numel(metadata.s2));
clb.Ticks =1.5:numel(metadata.s2)+1.5;
clb.TickLabels=metadata.s2;
clb.Label.String = metadata.s2name;
clb.Label.Interpreter = 'latex';
clb.Label.FontSize= 18;
end
end