function plotAndCompareG2Cumulants(results1, results2, varargin) %% plotAndCompareG2Cumulants % Author: Karthik % Date: 2025-09-12 % Version: 1.0 % % Description: % Compare first four cumulants of g²(θ) for two datasets. % % Inputs: % results1, results2 : g2_analysis_results objects % % Notes: % Dataset 1 = Solid line % Dataset 2 = Dashed line % Marker shape encodes θ value (consistent across datasets) % Dataset colors are distinct % --- Parse name-value pairs --- p = inputParser; addParameter(p, 'Title', 'g² Cumulants Comparison', @(x) ischar(x) || isstring(x)); addParameter(p, 'XLabel', 'Scan Parameter', @(x) ischar(x) || isstring(x)); addParameter(p, 'FontName', 'Arial', @ischar); addParameter(p, 'FontSize', 14, @isnumeric); addParameter(p, 'FigNum', [], @(x) isempty(x) || (isnumeric(x) && isscalar(x))); addParameter(p, 'SkipSaveFigures', false, @islogical); addParameter(p, 'SaveFileName', 'G2CumulantsComparison.fig', @ischar); addParameter(p, 'SaveDirectory', pwd, @ischar); addParameter(p, 'DesiredTheta', [pi/5 pi/3 pi/2], @(x) isnumeric(x) && isvector(x)); % <--- new line parse(p, varargin{:}); opts = p.Results; % --- Helper to extract cumulant array --- function [xvals, kappa, thIdx] = extractData(results) N_params = numel(results.g2_cumulants); N_theta = size(results.g2_cumulants{1},1); xvals = results.summaries.scanParamVal; kappa = zeros(N_theta, N_params, 4); for i = 1:N_params kappa(:,i,:) = results.g2_cumulants{i}; end thetaVals = results.theta_values; desiredTheta = opts.DesiredTheta; % use user-specified or default [~, thIdx] = arrayfun(@(t) min(abs(thetaVals - t)), desiredTheta); end % --- Extract data for both results --- [x1, kappa1, thIdx] = extractData(results1); [x2, kappa2, ~] = extractData(results2); % --- Legend labels for θ --- thetaLabels = arrayfun(@(t) sprintf('\\pi/%g', round(pi/t)), opts.DesiredTheta, 'UniformOutput', false); % --- Line styles for datasets --- lineStyles = {'-', '--'}; % solid for dataset1, dashed for dataset2 % --- Colors per θ --- %{ cmapFull = Colormaps.coolwarm(256); Ntheta = numel(thIdx); startColor = cmapFull(1,:); endColor = cmapFull(end,:); thetaColors = [linspace(startColor(1), endColor(1), Ntheta)', ... linspace(startColor(2), endColor(2), Ntheta)', ... linspace(startColor(3), endColor(3), Ntheta)']; %} cmapFull = Colormaps.coolwarm(256); Ntheta = numel(thIdx); % Split into two halves: blue side (1:128), red side (129:256) blueSide = cmapFull(1:100, :); % cut before gray redSide = cmapFull(157:end, :); % cut after gray % Concatenate to avoid center cmapTrimmed = [blueSide; redSide]; % Now sample evenly from this trimmed colormap indices = round(linspace(1, size(cmapTrimmed,1), Ntheta)); thetaColors = cmapTrimmed(indices, :); % --- Create figure --- if isempty(opts.FigNum), fig = figure; else, fig = figure(opts.FigNum); end clf(fig); set(fig,'Color','w','Position',[100 100 950 750]); t = tiledlayout(2,2,'TileSpacing','Compact','Padding','Compact'); sgtitle(opts.Title, 'FontName', opts.FontName, 'FontSize', opts.FontSize+4); cumulLabels = {'\kappa_1','\kappa_2','\kappa_3','\kappa_4'}; cumulTitles = {'Mean','Variance','Skewness','Binder Cumulant'}; for k = 1:4 ax = nexttile; hold(ax,'on'); for idx = 1:Ntheta th = thIdx(idx); c = thetaColors(idx,:); % Dataset 1 -> solid line + marker plot(ax, x1, squeeze(kappa1(th,:,k)), ... 'LineStyle', lineStyles{1}, 'Color', c, ... 'LineWidth', 2, 'Marker', 'o', 'MarkerSize', 7, ... % markerList = {'o','s','^','d','v','>','<','p','h'}; % more markers if needed 'MarkerFaceColor', c); % Dataset 2 -> dashed line + marker plot(ax, x2, squeeze(kappa2(th,:,k)), ... 'LineStyle', lineStyles{2}, 'Color', c, ... 'LineWidth', 2, 'Marker', 's', 'MarkerSize', 7, ... 'MarkerFaceColor', c); end ylabel(ax, cumulLabels{k}, 'FontName', opts.FontName, 'FontSize', opts.FontSize); xlabel(ax, opts.XLabel, 'FontName', opts.FontName, 'FontSize', opts.FontSize); title(ax, cumulTitles{k}, 'FontName', opts.FontName, 'FontSize', opts.FontSize+2); grid(ax,'on'); set(ax,'FontName',opts.FontName,'FontSize',opts.FontSize); % --- Line-only legend for θ --- thetaHandles = gobjects(Ntheta,1); for m = 1:Ntheta thetaHandles(m) = plot(ax, NaN, NaN, ... 'LineStyle','-', 'Color',thetaColors(m,:), 'LineWidth',6, 'Marker','none'); end legend(ax, thetaHandles, thetaLabels, 'Location','northeast', 'FontSize', opts.FontSize-2); end % --- Dataset legend (solid/dashed + marker) --- axLegend = axes(fig,'Position',[0 0.91 1 0.05],'Visible','off'); hold(axLegend,'on'); % Dummy plots with line style + marker in black d1 = plot(axLegend, NaN, NaN, 'LineStyle', lineStyles{1}, ... 'Color','k', 'Marker','o', 'MarkerFaceColor','k', 'MarkerSize',7, 'LineWidth',2); d2 = plot(axLegend, NaN, NaN, 'LineStyle', lineStyles{2}, ... 'Color','k', 'Marker','s', 'MarkerFaceColor','k', 'MarkerSize',7, 'LineWidth',2); legend(axLegend,[d1 d2],{'D -> S','S -> D'}, ... 'FontName', opts.FontName, 'FontSize', opts.FontSize-2, ... 'Orientation','horizontal', 'Box','off', 'Location','north'); % --- Save figure --- if ~opts.SkipSaveFigures if ~exist(opts.SaveDirectory,'dir'), mkdir(opts.SaveDirectory); end savefig(fig, fullfile(opts.SaveDirectory, opts.SaveFileName)); end end