Latest script to carry out PCA on experimental dataset
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@ -71,6 +71,76 @@ skipMovieRender = true;
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skipSaveFigures = true;
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skipSaveOD = true;
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%% ===== S-D Settings =====
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groupList = ["/images/MOT_3D_Camera/in_situ_absorption", "/images/ODT_1_Axis_Camera/in_situ_absorption", ...
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"/images/ODT_2_Axis_Camera/in_situ_absorption", "/images/Horizontal_Axis_Camera/in_situ_absorption", ...
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"/images/Vertical_Axis_Camera/in_situ_absorption"];
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folderPath = "//DyLabNAS/Data/TwoDGas/2025/06/24/";
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run = '0001';
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folderPath = strcat(folderPath, run);
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cam = 5;
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angle = 0;
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center = [1410, 2030];
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span = [200, 200];
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fraction = [0.1, 0.1];
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pixel_size = 5.86e-6; % in meters
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magnification = 23.94;
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removeFringes = false;
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ImagingMode = 'HighIntensity';
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PulseDuration = 5e-6; % in s
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% Fourier analysis settings
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% Radial Spectral Distribution
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theta_min = deg2rad(0);
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theta_max = deg2rad(180);
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N_radial_bins = 500;
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Radial_Sigma = 2;
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Radial_WindowSize = 5; % Choose an odd number for a centered moving average
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% Angular Spectral Distribution
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r_min = 10;
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r_max = 20;
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N_angular_bins = 180;
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Angular_Threshold = 75;
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Angular_Sigma = 2;
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Angular_WindowSize = 5;
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zoom_size = 50; % Zoomed-in region around center
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% Plotting and saving
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scan_parameter = 'ps_rot_mag_fin_pol_angle';
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% scan_parameter = 'rot_mag_field';
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savefileName = 'StripesToDroplets';
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font = 'Bahnschrift';
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if strcmp(savefileName, 'DropletsToStripes')
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scan_groups = 0:5:45
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titleString = 'Droplets to Stripes';
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elseif strcmp(savefileName, 'StripesToDroplets')
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scan_groups = 45:-5:0;
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titleString = 'Stripes to Droplets';
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end
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% Flags
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skipNormalization = true;
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skipUnshuffling = false;
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skipPreprocessing = true;
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skipMasking = true;
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skipIntensityThresholding = true;
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skipBinarization = true;
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skipMovieRender = true;
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skipSaveFigures = true;
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skipSaveOD = true;
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%% ===== Load and compute OD image, rotate and extract ROI for analysis =====
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% Get a list of all files in the folder with the desired file name pattern.
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@ -203,6 +273,7 @@ colorbar;
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title(sprintf('First Principal Component (PC1) Image - Explains %.2f%% Variance', explained(1)));
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%% Distribution scatter plot
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numGroups = numel(scan_groups);
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colors = lines(numGroups);
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figure(2); clf; set(gcf, 'Color', 'w', 'Position', [100 100 950 750]); hold on;
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