plot_gamma_vs_k.m
a2d76ab7d25agather_output

plot_gamma_vs_k.m
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			%Plot growth rate vs kz
			default_plots_options % Script to set up default plot variables
			% with a linear fit of the log evolution
			gammas = zeros(numel(kr),numel(kz));
			shifts = zeros(numel(kr),numel(kz));

			if K_RICCI
			factor = sqrt(1+MODEL.tau_i);
			fchar = '\times(1+\tau)^{1/2}$';
			else
			factor = 1;
			fchar = '$';
			end

			% Linear fit of log(Napj)
			x1 = timeNi;
			itmin = ceil(0.9 * numel(timeNi)); %Take a subset of the time evolution

			for ikz = 1:numel(kz)
			fit = polyfit(x1(itmin:end),log(abs(Nipj(itmin:end,ikr,ikz))),1);
			gammas(ikr,ikz) = fit(1);
			shifts(ikr,ikz) = fit(2);
			end

			fig = figure;
			linename = ['$(P,J)=(',num2str(GRID.pmaxe),',',num2str(GRID.jmaxe),')$'];
			plot(factor*kz,gammas(ikr,:),'DisplayName',linename);

			TITLE = [];
			TITLE = [TITLE,'$\eta_n=',num2str(1.0/MODEL.eta_n),'$, '];
			TITLE = [TITLE,'$\eta_B=',num2str(MODEL.eta_B),'$, '];
			TITLE = [TITLE, '$\nu=',num2str(MODEL.nu),'$, '];
			%TITLE = [TITLE, '$k_z=',num2str(GRID.kz),'$'];

			title(TITLE);
			grid on
			legend('show')
			xlabel(['$k_z',fchar])
			ylabel('$\gamma L_\perp/c_{s} $')

			%% Saving fig
			if SAVEFIG
			FIGNAME = 'gamma_k';
			save_figure;
			end