diff --git a/prob_laplace.m b/prob_laplace.m
index 417babbcf113300c5b260a418d431ccafa2a9895..0ae9bb89a328e71493ceaeff0b0724305616be36 100644
--- a/prob_laplace.m
+++ b/prob_laplace.m
@@ -186,38 +186,6 @@ for i = 1:100%length(T_mov.t)
     shg; pause();
 end
 
-%% Mean cross jump length chi 7/3
-run_jump_lengths(-5, 1, 7/3, 1, 4, '73_1_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 1, 7/3, 1, 4, '73_1_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, 0, 7/3, 1, 4, '73_6_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 0, 7/3, 1, 4, '73_6_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, -0.08410041, 7/3, 1, 4, '73_10_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, -0.08410041, 7/3, 1, 4, '73_10_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, -0.12314694, 7/3, 1, 4, '73_15_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, -0.12314694, 7/3, 1, 4, '73_15_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, -0.14264143, 7/3, 1, 4, '73_20_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, -0.14264143, 7/3, 1, 4, '73_20_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, -0.15432893, 7/3, 1, 4, '73_25_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, -0.15432893, 7/3, 1, 4, '73_25_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, -0.16211677, 7/3, 1, 4, '73_30_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, -0.16211677, 7/3, 1, 4, '73_30_10', 10^-6, 4, 0.5);
-%% chi 7.7/3
-run_jump_lengths(-5, 1, 7.7/3, 1, 4, '773_1_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 1, 7.7/3, 1, 4, '773_1_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, 0.136322219, 7.7/3, 1, 4, '773_6_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 0.136322219, 7.7/3, 1, 4, '773_6_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, 0.0618145816, 7.7/3, 1, 4, '773_10_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 0.0618145816, 7.7/3, 1, 4, '773_10_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, 0.027120457, 7.7/3, 1, 4, '773_15_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 0.027120457, 7.7/3, 1, 4, '773_15_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, 0.00977482501, 7.7/3, 1, 4, '773_20_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 0.00977482501, 7.7/3, 1, 4, '773_20_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, 0, 7.7/3, 1, 4, '773_25_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, 0, 7.7/3, 1, 4, '773_25_10', 10^-6, 4, 0.5);
-run_jump_lengths(-5, -0.00756985349, 7.7/3, 1, 4, '773_30_01', 10^-6, 3, 0.5);
-run_jump_lengths(-5, -0.00756985349, 7.7/3, 1, 4, '773_30_10', 10^-6, 4, 0.5);
-
-% output is saved manually from displayed values to data/mean_cross_jl_ML.csv
 %% %%%%%%%%%%%%%%%%% STEADY STATE JUMP LENGTH DISTRIBUTION %%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 params = {-5, b(7.7/3, 10^-6), 0.5, e(7.7/3), 0, 1, 10, 7, 0,...
@@ -265,6 +233,38 @@ cd /Users/hubatsch/Nextcloud/Langevin_vs_MeanField/Data_Figs_FokkPla/jump_length
 csvwrite('jump_length_7_7_lb01.csv', ls)
 csvwrite('prob_7_7_lb01.csv', p);
 
+%% Mean cross jump length chi 7/3
+run_jump_lengths(-5, 1, 7/3, 1, 4, '73_1_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 1, 7/3, 1, 4, '73_1_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, 0, 7/3, 1, 4, '73_6_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 0, 7/3, 1, 4, '73_6_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, -0.08410041, 7/3, 1, 4, '73_10_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, -0.08410041, 7/3, 1, 4, '73_10_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, -0.12314694, 7/3, 1, 4, '73_15_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, -0.12314694, 7/3, 1, 4, '73_15_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, -0.14264143, 7/3, 1, 4, '73_20_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, -0.14264143, 7/3, 1, 4, '73_20_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, -0.15432893, 7/3, 1, 4, '73_25_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, -0.15432893, 7/3, 1, 4, '73_25_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, -0.16211677, 7/3, 1, 4, '73_30_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, -0.16211677, 7/3, 1, 4, '73_30_10', 10^-6, 4, 0.5);
+%% chi 7.7/3
+run_jump_lengths(-5, 1, 7.7/3, 1, 4, '773_1_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 1, 7.7/3, 1, 4, '773_1_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, 0.136322219, 7.7/3, 1, 4, '773_6_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 0.136322219, 7.7/3, 1, 4, '773_6_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, 0.0618145816, 7.7/3, 1, 4, '773_10_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 0.0618145816, 7.7/3, 1, 4, '773_10_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, 0.027120457, 7.7/3, 1, 4, '773_15_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 0.027120457, 7.7/3, 1, 4, '773_15_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, 0.00977482501, 7.7/3, 1, 4, '773_20_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 0.00977482501, 7.7/3, 1, 4, '773_20_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, 0, 7.7/3, 1, 4, '773_25_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, 0, 7.7/3, 1, 4, '773_25_10', 10^-6, 4, 0.5);
+run_jump_lengths(-5, -0.00756985349, 7.7/3, 1, 4, '773_30_01', 10^-6, 3, 0.5);
+run_jump_lengths(-5, -0.00756985349, 7.7/3, 1, 4, '773_30_10', 10^-6, 4, 0.5);
+
+% output is saved manually from displayed values to data/mean_cross_jl_ML.csv
 %% %%%%%%%%%%%%%%%%%%% MOVING BOUNDARY TIME COURSE %%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % t = linspace(0, 10, 9000); % Entropy
@@ -282,22 +282,22 @@ s = '~/Nextcloud/Langevin_vs_MeanField/Data_Figs_FokkPla/';
 chi_phi = -4.530864768482371;
 s_dot = zeros(1, length(T_mov.t));
 for i = 1:length(T_mov.t)
-x_interp = (T_mov.x(1:end-1)+T_mov.x(2:end))/2;
-u = norm_fac*T_mov.sol(i, :);
-u_interp = (u(1:end-1)+u(2:end))/2;
-g0 = 0.5;
-gra_a = Ternary_model.gradient_analytical(x_interp, T_mov.a, T_mov.b,...
-                                          T_mov.e, T_mov.v*T_mov.t(i));
-dudx = diff(u)./diff(T_mov.x);
-f = -g0*(dudx+chi_phi.*u_interp.*gra_a);
-s_dot(i) = sum(diff(T_mov.x).*f.^2./(g0.*u_interp));
-% figure(1); hold on;
-% plot(0:10, zeros(1, 11), 'LineWidth', 2);
-% plot(x_interp, f, 'LineWidth', 2)
-% set(gca,'fontsize', 18)
-% make_graph_pretty(['x [' char(956) 'm]'], 'flux', '',...
-%                   [0, T_mov.system_size, min(f(:)), max(f)])
-% pause()
+    x_interp = (T_mov.x(1:end-1)+T_mov.x(2:end))/2;
+    u = norm_fac*T_mov.sol(i, :);
+    u_interp = (u(1:end-1)+u(2:end))/2;
+    g0 = 0.5;
+    gra_a = Ternary_model.gradient_analytical(x_interp, T_mov.a, T_mov.b,...
+                                              T_mov.e, T_mov.v*T_mov.t(i));
+    dudx = diff(u)./diff(T_mov.x);
+    f = -g0*(dudx+chi_phi.*u_interp.*gra_a);
+    s_dot(i) = sum(diff(T_mov.x).*f.^2./(g0.*u_interp));
+    % figure(1); hold on;
+    % plot(0:10, zeros(1, 11), 'LineWidth', 2);
+    % plot(x_interp, f, 'LineWidth', 2)
+    % set(gca,'fontsize', 18)
+    % make_graph_pretty(['x [' char(956) 'm]'], 'flux', '',...
+    %                   [0, T_mov.system_size, min(f(:)), max(f)])
+    % pause()
 end
 % csvwrite([s, 'Mov_Bou_Flux.csv'], [x_interp; f])
 % csvwrite([s, 'Mov_Bou_Entr.csv'], [T_mov.t; s_dot])