188 lines
7.7 KiB
Matlab
188 lines
7.7 KiB
Matlab
% --- User chooses which dataset to load ---
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datasetIdx = 1; % <-- change this to 1, 2, 3, ...
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datasetName = sprintf('Dataset_%d', datasetIdx);
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% Detect the folder where this script is located and set that as the Base Directory
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thisScriptPath = mfilename('fullpath');
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[thisScriptDir, ~, ~] = fileparts(thisScriptPath);
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baseDir = thisScriptDir; % override if needed
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% Build path to dataset file
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dataFile = fullfile(baseDir, "Results", "SavedData", datasetName + ".mat");
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data = load(dataFile);
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% Access dataset struct dynamically
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datasetStruct = data.(datasetName);
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compiled_results = datasetStruct.results;
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scan_parameter_values = datasetStruct.scan_parameter_values;
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% Load the original options used during analysis
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options = datasetStruct.options; % exact options used for this dataset
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options.font = 'Bahnscrift'; % override if needed
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options.skipSaveFigures = false; % override if needed
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%% ------------------ Create dataset-specific figure folder ------------------
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figSaveDir = fullfile(baseDir,'Results', 'SavedFigures', datasetName);
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if ~exist(figSaveDir, 'dir')
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mkdir(figSaveDir);
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end
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%% ------------------ 1. Mean ± Std Plots ------------------
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% Plot Radial Spectral Contrast
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Plotter.plotMeanWithSE(scan_parameter_values, compiled_results.spectral_analysis_results.radial_spectral_contrast, ...
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'Title', options.titleString, ...
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'XLabel', 'B (G)', ...
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'YLabel', 'Radial Spectral Contrast', ...
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'FigNum', 1, ...
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'FontName', options.font, ...
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'SaveFileName', 'RadialSpectralContrast.fig', ...
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'SaveDirectory', figSaveDir, ... % save figures inside dataset-specific folder
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'SkipSaveFigures', options.skipSaveFigures);
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% Plot Angular Spectral Weight
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Plotter.plotMeanWithSE(scan_parameter_values, compiled_results.spectral_analysis_results.angular_spectral_weight, ...
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'Title', options.titleString, ...
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'XLabel', 'B (G)', ...
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'YLabel', 'Angular Spectral Weight', ...
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'FigNum', 2, ...
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'FontName', options.font, ...
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'SaveFileName', 'AngularSpectralWeight.fig', ...
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'SaveDirectory', figSaveDir, ...
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'SkipSaveFigures', options.skipSaveFigures);
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% Plot Peak Offset Angular Correlation
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Plotter.plotMeanWithSE(options.scan_reference_values, compiled_results.custom_g_results.max_g2_all_per_scan_parameter_value, ...
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'Title', options.titleString, ...
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'XLabel', 'B (G)', ...
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'YLabel', '$\mathrm{max}[g^{(2)}_{[50,70]}(\delta\theta)]$', ...
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'FigNum', 3, ...
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'YLim', [0 1], ...
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'FontName', options.font, ...
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'SaveFileName', 'PeakOffsetAngularCorrelation.fig', ...
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'SaveDirectory', figSaveDir, ...
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'SkipSaveFigures', options.skipSaveFigures);
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%% ------------------ 2. g²(θ) across transition ------------------
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Plotter.plotG2(compiled_results.full_g2_results.g2_all, ...
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compiled_results.full_g2_results.g2_error_all, ...
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compiled_results.full_g2_results.theta_values, ...
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options.scan_reference_values, ...
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'rot_mag_field', ...
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'Title', options.titleString, ...
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'XLabel', '$\delta\theta / \pi$', ...
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'YLabel', '$g^{(2)}(\delta\theta)$', ...
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'FigNum', 4, ...
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'FontName', options.font, ...
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'SkipSaveFigures', options.skipSaveFigures, ...
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'SaveFileName', 'G2ThetaAcrossTransition.fig', ...
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'SaveDirectory', figSaveDir, ...
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'Colormap', @Colormaps.coolwarm);
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%% ------------------ 3. PDF of max g² across transition ------------------
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Plotter.plotPDF(compiled_results.custom_g_results.max_g2_all_per_scan_parameter_value, options.scan_reference_values, ...
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'Title', options.titleString, ...
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'XLabel', 'B (G)', ...
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'YLabel', '$\mathrm{max}[g^{(2)}]$', ...
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'FigNum', 5, ...
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'FontName', options.font, ...
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'SkipSaveFigures', options.skipSaveFigures, ...
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'SaveFileName', 'PDF_MaxG2AcrossTransition.fig', ...
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'SaveDirectory', figSaveDir, ...
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'NumPoints', 200, ...
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'DataRange', [0 1.5], ...
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'Colormap', @Colormaps.coolwarm, ...
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'XLim', [min(options.scan_reference_values) max(options.scan_reference_values)]);
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%% ------------------ 4. Cumulants across transition ------------------
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Plotter.plotCumulants(options.scan_reference_values, ...
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{compiled_results.custom_g_results.mean_max_g2, compiled_results.custom_g_results.var_max_g2, compiled_results.custom_g_results.skew_max_g2_angle, compiled_results.custom_g_results.fourth_order_cumulant_max_g2}, ...
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'Title', 'Cumulants of Peak Offset Angular Correlation', ...
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'XLabel', 'B (G)', ...
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'FigNum', 6, ...
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'FontName', options.font, ...
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'MarkerSize', 6, ...
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'LineWidth', 1.5, ...
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'SkipSaveFigures', options.skipSaveFigures, ...
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'SaveFileName', 'CumulantOfPeakOffsetAngularCorrelation.fig', ...
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'SaveDirectory', figSaveDir);
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%{
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%% ------------------ 6. Average of Spectra Plots ------------------
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Plotter.plotAverageSpectra(scan_parameter_values, ...
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spectral_analysis_results, ...
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'ScanParameterName', scan_parameter, ...
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'FigNum', 7, ...
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'ColormapPS', Colormaps.coolwarm(), ...
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'Font', 'Bahnschrift', ...
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'SaveFileName', 'avgSpectra.fig', ...
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'SaveDirectory', figSaveDir, ...
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'SkipSaveFigures', options.skipSaveFigures);
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%% ------------------ 7. Compare quantities ------------------
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% Load Droplets → Stripes data
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Data = load(dtsFile, ...
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'unique_scan_parameter_values', ...
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'mean_max_g2_values', ...
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'std_error_g2_values');
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dts_scan_parameter_values = Data.unique_scan_parameter_values;
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dts_mean_mg2 = Data.mean_max_g2_values;
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dts_stderr_mg2 = Data.std_error_g2_values;
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% Load Stripes → Droplets data
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Data = load(stdFile, ...
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'unique_scan_parameter_values', ...
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'mean_max_g2_values', ...
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'std_error_g2_values');
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std_scan_parameter_values = Data.unique_scan_parameter_values;
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std_mean_mg2 = Data.mean_max_g2_values;
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std_stderr_mg2 = Data.std_error_g2_values;
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% Prepare cell arrays for multiple datasets
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scanValsCell = {dts_scan_parameter_values, std_scan_parameter_values};
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meanValsCell = {dts_mean_mg2, std_mean_mg2};
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stderrValsCell = {dts_stderr_mg2, std_stderr_mg2};
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% Compare datasets
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compareMultipleDatasets(scanValsCell, meanValsCell, stderrValsCell, ...
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'FigNum', 8, ...
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'FontName', 'Bahnschrift', ...
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'MarkerSize', 6, ...
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'LineWidth', 1.5, ...
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'CapSize', 5, ...
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'YLim', [0 1], ...
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'Labels', {'Droplets → Stripes', 'Stripes → Droplets'}, ...
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'Title', 'AngularCorrelation_Comparison', ...
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'XLabel', 'B (G)', ...
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'YLabel', '$\mathrm{max}[g^{(2)}_{[50,70]}(\delta\theta)]$', ...
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'SkipSaveFigures', options.skipSaveFigures, ...
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'SaveDirectory', figSaveDir, ...
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'SaveFileName', 'AngularCorrelation_Comparison.fig');
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%% ------------------ 8. Heatmaps ------------------
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BFields = [2.35, 2.15, 2.0, 1.85, 1.7, 1.55, 1.4, 1.35];
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% Heatmap of mean_max_g2_values
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Plotter.plotHeatmap(compiled_results, options.scan_groups, BFields, 'mean_max_g2_values', ...
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'Colormap', @sky, ...
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'CLim', [0 1], ...
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'XLabel', '\alpha (degrees)', ...
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'YLabel', 'BField (G)', ...
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'Title', '$\mathrm{max}[g^{(2)}_{[50,70]}(\delta\theta)]$', ...
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'FigNum', 9, ...
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'SaveFileName', 'Heatmap_MaxG2.fig', ...
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'SaveDirectory', options.resultsDir);
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% Heatmap of radial_spectral_contrast
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Plotter.plotHeatmap(compiled_results, options.scan_groups, BFields, 'radial_spectral_contrast', ...
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'Colormap', @sky, ...
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'CLim', [0 0.008], ...
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'XLabel', '\alpha (degrees)', ...
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'YLabel', 'BField (G)', ...
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'Title', 'Radial Spectral Contrast', ...
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'FigNum', 10, ...
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'SaveFileName', 'Heatmap_RadialSpectralContrast.fig', ...
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'SaveDirectory', options.resultsDir);
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%} |