diff --git a/matlab/plot/plot_radial_transport_and_spacetime.m b/matlab/plot/plot_radial_transport_and_spacetime.m
index 35c794914a7af795f2df5f97827d27e97872fb9e..3ee858a779b539957b602fd00cbb197fdb1a4f68 100644
--- a/matlab/plot/plot_radial_transport_and_spacetime.m
+++ b/matlab/plot/plot_radial_transport_and_spacetime.m
@@ -1,4 +1,4 @@
-function [FIGURE] = plot_radial_transport_and_spacetime(DATA, OPTIONS,CODE)
+function [FIGURE] = plot_radial_transport_and_spacetime(DATA, OPTIONS)
     %Compute steady radial transport
     tend = OPTIONS.TAVG_1; tstart = OPTIONS.TAVG_0;
     [~,its0D] = min(abs(DATA.Ts0D-tstart));
@@ -11,11 +11,11 @@ function [FIGURE] = plot_radial_transport_and_spacetime(DATA, OPTIONS,CODE)
     Qx_infty_avg = mean(DATA.HFLUX_X(its0D:ite0D))*SCALE;
     Qx_infty_std = std (DATA.HFLUX_X(its0D:ite0D))*SCALE;
 %     disp(['Q_x=',sprintf('%2.2e',Qx_infty_avg),'+-',sprintf('%2.2e',Qx_infty_std)]);
-    f_avg_z      = squeeze(mean(DATA.PHI(:,:,:,:),3));
-    [~,ikzf] = max(squeeze(mean(abs(f_avg_z(1,:,its3D:ite3D)),3)));
-    ikzf = min([ikzf,DATA.Nky]);
-    Ns3D = numel(DATA.Ts3D);
-    [KX, KY] = meshgrid(DATA.kx, DATA.ky);
+%     f_avg_z      = squeeze(mean(DATA.PHI(:,:,:,:),3));
+%     [~,ikzf] = max(squeeze(mean(abs(f_avg_z(1,:,its3D:ite3D)),3)));
+%     ikzf = min([ikzf,DATA.Nky]);
+%     Ns3D = numel(DATA.Ts3D);
+%     [KX, KY] = meshgrid(DATA.kx, DATA.ky);
     %% error estimation
     DT_       = (tend-tstart)/OPTIONS.NCUT;
     Qx_ee     = zeros(1,OPTIONS.NCUT);
@@ -27,36 +27,36 @@ function [FIGURE] = plot_radial_transport_and_spacetime(DATA, OPTIONS,CODE)
     Qx_avg    = mean(Qx_ee);
     Qx_err    =  std(Qx_ee);
     disp(['Q_avg=',sprintf('%2.2e',Qx_avg),'+-',sprintf('%2.2e',Qx_err)]);
-    %% computations
-
-    % Compute zonal and non zonal energies
-    E_Zmode_SK       = zeros(1,Ns3D);
-    E_NZmode_SK      = zeros(1,Ns3D);
-    for it = 1:numel(DATA.Ts3D)
-        E_Zmode_SK(it)   = squeeze(DATA.ky(ikzf).^2.*abs(squeeze(f_avg_z(ikzf,1,it))).^2);
-        E_NZmode_SK(it)  = squeeze(sum(sum(((1+KX.^2+KY.^2).*abs(squeeze(f_avg_z(:,:,it))).^2.*(KY~=0)))));
-    end
-    % Compute thermodynamic entropy Eq.(5) Navarro et al. 2012 PoP
-    % 1/2 sum_p sum_j Napj^2(k=0) (avg z)
-    Nipjz = sum(sum(sum(sum(conj(DATA.Nipj).*DATA.Nipj))));
-    ff = trapz(DATA.z,Nipjz,5);
-    E_TE = 0.5*squeeze(ff);
-    % Compute electrostatic energy
-    E_ES = zeros(size(DATA.Ts5D));
-    bi = sqrt(KX.^2+KY.^2)*DATA.sigma(1)*sqrt(2*DATA.tau(1)); %argument of the kernel
-    for it5D = 1:numel(DATA.Ts5D)
-        [~,it3D] = min(abs(DATA.Ts3D-DATA.Ts5D(it5D)));
-        for in = 1:DATA.Jmaxi
-            Knphi = kernel(in-1,bi).*squeeze(trapz(DATA.z,DATA.PHI(:,:,:,it3D),3));
-            Ni0n_z= squeeze(trapz(DATA.z,DATA.Nipj(1,in,:,:,:,it5D),5));
-            E_ES(it5D) = 0.5*sum(sum(abs(conj(Knphi).*Ni0n_z)));
-        end
-    end
+%     %% computations
+% 
+%     % Compute zonal and non zonal energies
+%     E_Zmode_SK       = zeros(1,Ns3D);
+%     E_NZmode_SK      = zeros(1,Ns3D);
+%     for it = 1:numel(DATA.Ts3D)
+%         E_Zmode_SK(it)   = squeeze(DATA.ky(ikzf).^2.*abs(squeeze(f_avg_z(ikzf,1,it))).^2);
+%         E_NZmode_SK(it)  = squeeze(sum(sum(((1+KX.^2+KY.^2).*abs(squeeze(f_avg_z(:,:,it))).^2.*(KY~=0)))));
+%     end
+%     % Compute thermodynamic entropy Eq.(5) Navarro et al. 2012 PoP
+%     % 1/2 sum_p sum_j Napj^2(k=0) (avg z)
+%     Nipjz = sum(sum(sum(sum(conj(DATA.Nipj).*DATA.Nipj))));
+%     ff = trapz(DATA.z,Nipjz,5);
+%     E_TE = 0.5*squeeze(ff);
+%     % Compute electrostatic energy
+%     E_ES = zeros(size(DATA.Ts5D));
+%     bi = sqrt(KX.^2+KY.^2)*DATA.sigma(1)*sqrt(2*DATA.tau(1)); %argument of the kernel
+%     for it5D = 1:numel(DATA.Ts5D)
+%         [~,it3D] = min(abs(DATA.Ts3D-DATA.Ts5D(it5D)));
+%         for in = 1:DATA.Jmaxi
+%             Knphi = kernel(in-1,bi).*squeeze(trapz(DATA.z,DATA.PHI(:,:,:,it3D),3));
+%             Ni0n_z= squeeze(trapz(DATA.z,DATA.Nipj(1,in,:,:,:,it5D),5));
+%             E_ES(it5D) = 0.5*sum(sum(abs(conj(Knphi).*Ni0n_z)));
+%         end
+%     end
 %% Figure    
 clr_ = lines(20);
 mvm = @(x) movmean(x,OPTIONS.NMVA);
     FIGURE.fig = figure; FIGURE.FIGNAME = ['ZF_transport_drphi','_',DATA.PARAMS]; %set(gcf, 'Position',  [500, 1000, 1000, 600])
-    FIGURE.ax1 = subplot(3,1,1,'parent',FIGURE.fig);
+    FIGURE.ax1 = subplot(2,1,1,'parent',FIGURE.fig);
         plot(mvm(DATA.Ts0D),mvm(DATA.PGAMMA_RI*SCALE),'--',...
             'color',clr_((DATA.Pmaxi-1)/2,:),...
             'DisplayName',['$\Gamma_x$ ',DATA.paramshort]); hold on;
@@ -80,16 +80,16 @@ mvm = @(x) movmean(x,OPTIONS.NMVA);
     title({DATA.param_title,...
         ['$\Gamma^{\infty} = $',num2str(Gx_infty_avg),'$, Q^{\infty} = $',num2str(Qx_infty_avg)]});
     
- %% Free energy    
-    FIGURE.ax2 = subplot(3,1,2,'parent',FIGURE.fig);
-    yyaxis left
-        plot(DATA.Ts5D,E_TE,'DisplayName','$\epsilon_f$'); hold on;
-        ylabel('Entropy');%('$\epsilon_f$')
-    yyaxis right
-        plot(DATA.Ts5D,E_ES,'DisplayName','$\epsilon_\phi$');
-        ylabel('ES energy');%('$\epsilon_\phi$')
-        xlim([DATA.Ts5D(1), DATA.Ts5D(end)]);
-        xlabel('$t c_s/R$'); grid on; set(gca,'xticklabel',[]);% xlim([0 500]);
+%  %% Free energy    
+%     FIGURE.ax2 = subplot(3,1,2,'parent',FIGURE.fig);
+%     yyaxis left
+%         plot(DATA.Ts5D,E_TE,'DisplayName','$\epsilon_f$'); hold on;
+%         ylabel('Entropy');%('$\epsilon_f$')
+%     yyaxis right
+%         plot(DATA.Ts5D,E_ES,'DisplayName','$\epsilon_\phi$');
+%         ylabel('ES energy');%('$\epsilon_\phi$')
+%         xlim([DATA.Ts5D(1), DATA.Ts5D(end)]);
+%         xlabel('$t c_s/R$'); grid on; set(gca,'xticklabel',[]);% xlim([0 500]);
 %% radial shear radial profile
     % computation
     Ns3D = numel(DATA.Ts3D);
@@ -108,7 +108,7 @@ mvm = @(x) movmean(x,OPTIONS.NMVA);
     f2plot = toplot.FIELD;
     dframe = ite3D - its3D;
     clim = max(max(max(abs(plt(f2plot(:,:,:))))));
-    FIGURE.ax3 = subplot(3,1,3,'parent',FIGURE.fig);
+    FIGURE.ax3 = subplot(2,1,2,'parent',FIGURE.fig);
         [TY,TX] = meshgrid(DATA.x,DATA.Ts3D(toplot.FRAMES));
         pclr = pcolor(TX,TY,squeeze(plt(f2plot))'); 
         set(pclr, 'edgecolor','none'); 
diff --git a/matlab/profiler.m b/matlab/profiler.m
index d509975b60c9b4919c8e5cb11c3c5d00acaab895..5056f61e4e709e2f65f094e9dd41484c57c8bfb0 100644
--- a/matlab/profiler.m
+++ b/matlab/profiler.m
@@ -95,7 +95,7 @@ end
 p1 = area(xx_,yy_,'LineStyle','none');
 for i = 1:N_T; p1(i).FaceColor = colors(i,:);
 %     LEGEND{i} = sprintf('%s t=%1.1e[s] (%0.1f %s)',names{i},Ts_A(i),Ts_A(i)/total_Tc(end)*100,'\%');
-    LEGEND{i} = [names{i},' $\hat t=$',sprintf('%1.1e[s] (%0.1f %s)',Ts_A(i),Ts_A(i)/total_Ta*100,'\%')];
+    LEGEND{i} = [names{i},' $\hat t=$',sprintf('%1.1e[s] (%0.1f %s)',Ts_A(i)/NSTEP_PER_SAMP,Ts_A(i)/total_Ta*100,'\%')];
 end;
 legend(LEGEND,'Location','bestoutside');
 % legend('Compute RHS','Adv. fields','ghosts comm', 'closure', 'collision','Poisson','Nonlin','Check+sym', 'Diagnos.', 'Process', 'Missing')
diff --git a/wk/analysis_gyacomo.m b/wk/analysis_gyacomo.m
index c098bc27d2332000619cd0e2cf2128fdd14720f4..cb18516afc17a82032d8d52fbd0e41a64b4d6a74 100644
--- a/wk/analysis_gyacomo.m
+++ b/wk/analysis_gyacomo.m
@@ -80,7 +80,7 @@ options.NAME      = '\phi';
 % options.NAME      = 'Q_x';
 % options.NAME      = 'n_i';
 % options.NAME      = 'n_i-n_e';
-options.PLAN      = 'xy';
+options.PLAN      = 'kxky';
 % options.NAME      = 'f_i';
 % options.PLAN      = 'sx';
 options.COMP      = 'avg';
@@ -105,16 +105,15 @@ options.NORMALIZE = 0;
 % options.NAME      = '\omega_z';
 % options.NAME      = 'T_i';
 % options.NAME      = 'n_i';
-% options.NAME      = '\phi^{NZ}';
-options.NAME      = 'N_i^{00}';
+options.NAME      = '\phi^{NZ}';
+% options.NAME      = 'N_i^{00}';
 % options.NAME      = 'N_i^{00}-N_e^{00}';              
 % options.NAME      = 's_{Ex}';
 % options.NAME      = 'Q_x';
 % options.NAME      = 'k^2n_e';
-options.PLAN      = 'kxky';
+options.PLAN      = 'xy';
 options.COMP      = 'avg';
-% options.TIME      = [49 50 51];
-options.TIME      = data.Ts3D(51:55);
+options.TIME      = [80 200];
 options.RESOLUTION = 256;
 
 data.a = data.EPS * 2e3;
diff --git a/wk/fast_analysis.m b/wk/fast_analysis.m
index 83f4ff9e078d4f58cae1062549b196d44342f3ce..fdd59170dabe410d0bf25d2688fbbb321e5deb8b 100644
--- a/wk/fast_analysis.m
+++ b/wk/fast_analysis.m
@@ -4,17 +4,50 @@ PARTITION  = '/misc/gyacomo23_outputs/';
 % PARTITION  = gyacomodir;
 
 %% CBC 
-resdir = 'paper_2_GYAC23/CBC/7x4x192x96x32';
+% resdir = 'paper_2_GYAC23/CBC/7x4x192x96x32_nu_0.05_muxy_0.5_muz_0.2';
+resdir = 'paper_2_GYAC23/CBC/7x4x192x96x32_nu_0.05_muxy_1.0_muz_1.0;'
 
 %%
-JOBNUMMIN = 00; JOBNUMMAX = 10;
+J0 = 00; J1 = 10;
 
-%%
+% Load basic info (grids and time traces)
 DATADIR = [PARTITION,resdir,'/'];
 data    = {};
-data    = compile_results_low_mem(data,DATADIR,JOBNUMMIN,JOBNUMMAX);
+data    = compile_results_low_mem(data,DATADIR,J0,J1);
 
+%% Plot transport and phi radial profile
+[data.PHI, data.Ts3D] = compile_results_3D(DATADIR,J0,J1,'phi');
 
-%%
-figure;
-plot(data.Ts0D,data.HFLUX_X);
\ No newline at end of file
+options.TAVG_0   = 100;
+options.TAVG_1   = 1000;
+options.NCUT     = 5;              % Number of cuts for averaging and error estimation
+options.NMVA     = 1;              % Moving average for time traces
+% options.ST_FIELD = '\Gamma_x';   % chose your field to plot in spacetime diag (e.g \phi,v_x,G_x)
+options.ST_FIELD = '\phi';          % chose your field to plot in spacetime diag (e.g \phi,v_x,G_x)
+options.INTERP   = 0;
+options.RESOLUTION = 256;
+fig = plot_radial_transport_and_spacetime(data,options);
+
+%% MOVIES %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Options
+options.INTERP    = 0;
+options.POLARPLOT = 0;
+options.NAME      = '\phi';
+% options.NAME      = '\omega_z';
+% options.NAME     = 'N_i^{00}';
+% options.NAME      = 's_{Ey}';
+% options.NAME      = 'n_i^{NZ}';
+% options.NAME      = 'Q_x';
+% options.NAME      = 'n_i';
+% options.NAME      = 'n_i-n_e';
+options.PLAN      = 'xz';
+% options.NAME      = 'f_i';
+% options.PLAN      = 'sx';
+options.COMP      = 'avg';
+% options.TIME      = data.Ts5D(end-30:end);
+% options.TIME      =  data.Ts3D;
+options.TIME      = [0:1500];
+data.EPS          = 0.1;
+data.a = data.EPS * 2000;
+options.RESOLUTION = 256;
+create_film(data,options,'.gif')