function plotSpectralCurvesRecentered(results, scan_reference_values, varargin) %% plotSpectralCurves % Author: Karthik % Date: 2025-10-01 % Version: 1.0 % % Description: % Plot raw spectral curves with mean, SEM, and highlights % Preprocess: shifts each curve so its first peak is at zero (no wrap-around) % % Inputs: % S_theta_all - 1x(N_reps*N_params) cell array of curves % theta_vals - vector of theta values (radians) % scan_reference_values - vector of unique scan parameters % % Optional name-value pairs: % 'Title' - Figure title (default: 'Spectral Curves') % 'XLabel' - Label for x-axis (default: '\theta / \pi') % 'YLabel' - Label for y-axis (default: 'S(\theta)') % 'FontName' - Font name (default: 'Arial') % 'FontSize' - Font size (default: 14) % 'FigNum' - Figure number (default: []) % 'SkipSaveFigures' - Logical flag to skip saving (default: false) % 'SaveFileName' - Name of figure file (default: 'SpectralCurves.fig') % 'SaveDirectory' - Directory to save figure (default: pwd) % 'TileTitlePrefix' - Prefix for tile titles (default: 'Scan Parameter') % 'TileTitleSuffix' - Suffix for tile titles (default: '') % 'HighlightEvery' - Highlight every Nth repetition (default: 10) % % Notes: % Automatically computes number of repetitions from S_theta_all length and scan_reference_values. % --- Parse name-value pairs --- p = inputParser; addParameter(p, 'Title', 'Spectral Curves', @(x) ischar(x) || isstring(x)); addParameter(p, 'XLabel', '\theta / \pi', @(x) ischar(x) || isstring(x)); addParameter(p, 'YLabel', 'S(\theta)', @(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', 'SpectralCurves.fig', @ischar); addParameter(p, 'SaveDirectory', pwd, @ischar); addParameter(p, 'TileTitlePrefix', 'Scan Parameter', @(x) ischar(x) || isstring(x)); addParameter(p, 'TileTitleSuffix', '', @(x) ischar(x) || isstring(x)); addParameter(p, 'HighlightEvery', 10, @(x) isnumeric(x) && isscalar(x) && x>=1); parse(p, varargin{:}); opts = p.Results; % --- Determine number of scan parameters and repetitions --- N_params = numel(scan_reference_values); % --- 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('TileSpacing','compact','Padding','compact'); title(t, opts.Title, 'FontName', opts.FontName, 'FontSize', opts.FontSize+2); % --- Loop over scan parameters --- for i = 1:N_params ax = nexttile; hold(ax,'on'); G = results.curves{i}; % [N_reps × Npoints] % --- Plot all repetitions in light grey --- plot(ax, results.x_values, G', 'Color', [0.7 0.7 0.7, 0.5]); % --- Highlight every Nth repetition --- idx = opts.HighlightEvery:opts.HighlightEvery:size(G,1); for j = idx plot(ax, results.x_values, G(j,:), 'Color', [0.3 0.3 0.3, 1], 'LineWidth', 1.5); end % --- Mean + SEM shading --- mu = results.curves_mean{i}; se = results.curves_error{i}; fill(ax, [results.x_values fliplr(results.x_values)], [mu-se fliplr(mu+se)], ... [0.2 0.4 0.8], 'FaceAlpha',0.2, 'EdgeColor','none'); % --- Mean curve --- plot(ax, results.x_values, mu, 'b-', 'LineWidth', 2); % --- Vertical reference lines at pi/3 and 2pi/3 --- xlines = [1/3 2/3]; for xl = xlines xline(ax, xl, 'k--', 'LineWidth', 1.5, 'Alpha', 0.5); end % --- Axes formatting --- grid(ax,'on'); xlabel(ax, opts.XLabel, 'FontName', opts.FontName, 'FontSize', opts.FontSize); ylabel(ax, opts.YLabel, 'FontName', opts.FontName, 'FontSize', opts.FontSize); title(ax, sprintf('%s=%.3g%s', opts.TileTitlePrefix, results.scan_reference_values(i), opts.TileTitleSuffix), ... 'FontName', opts.FontName, 'FontSize', opts.FontSize); set(ax, 'FontName', opts.FontName, 'FontSize', opts.FontSize); end % --- Save figure --- if ~opts.SkipSaveFigures if ~exist(opts.SaveDirectory,'dir'), mkdir(opts.SaveDirectory); end savefig(fig, fullfile(opts.SaveDirectory, opts.SaveFileName)); end end