127 lines
4.6 KiB
Matlab
127 lines
4.6 KiB
Matlab
function plotTwoModeGaussianFitsOnRaw(fitResults, rawCurves, nRows, nCols, varargin)
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%% plotTwoGaussianFitsWithPagination
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% Author: Karthik
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% Date: 2025-10-16
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% Version: 1.0
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%
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% Description:
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% Plots raw radial spectral curves with their two-Gaussian fits in a
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% compact, paginated layout. Each page shows up to nRows × nCols subplots.
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%
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% Inputs:
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% fitResults - struct array from fitTwoGaussianCurvesToRadialSpectralDistribution
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% rawCurves - struct array with fields:
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% .x - raw normalized amplitudes
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% .k - corresponding k_rho values
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% nRows - number of subplot rows per page (default: 8)
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% nCols - number of subplot columns per page (default: 12)
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% varargin - name-value pairs:
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% 'FontName', 'FontSize', 'SkipLivePlot', 'SkipSaveFigures',
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% 'SaveDirectory', 'RepsPerPage'
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% --- Parse optional name-value pairs ---
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p = inputParser;
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addParameter(p, 'FontName', 'Arial', @ischar);
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addParameter(p, 'FontSize', 12, @isnumeric);
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addParameter(p, 'SkipLivePlot', false, @islogical);
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addParameter(p, 'SkipSaveFigures', true, @islogical);
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addParameter(p, 'SaveDirectory', pwd, @ischar);
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addParameter(p, 'RepsPerPage', [], @isnumeric); % optional override of nRows*nCols
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parse(p, varargin{:});
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opts = p.Results;
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% --- Default subplot grid if not provided ---
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if nargin < 3 || isempty(nRows), nRows = 8; end
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if nargin < 4 || isempty(nCols), nCols = 12; end
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plotsPerPage = nRows * nCols;
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if ~isempty(opts.RepsPerPage)
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plotsPerPage = opts.RepsPerPage;
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end
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Ncurves = numel(rawCurves);
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numPages = ceil(Ncurves / plotsPerPage);
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% --- Setup save directory if needed ---
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if ~opts.SkipSaveFigures
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saveFolder = fullfile(opts.SaveDirectory, 'Results', 'SavedFigures', 'TwoGaussianFits');
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if ~exist(saveFolder, 'dir')
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mkdir(saveFolder);
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end
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end
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for pageIdx = 1:numPages
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repStart = (pageIdx-1)*plotsPerPage + 1;
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repEnd = min(pageIdx*plotsPerPage, Ncurves);
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repSubset = repStart:repEnd;
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N_rows = numel(repSubset);
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% --- Create figure ---
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if ~opts.SkipLivePlot
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fig = figure('Color', 'w', 'Position', [50 50 1600 900]);
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else
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fig = figure('Color', 'w', 'Position', [50 50 1600 900], 'Visible', 'off');
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end
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t = tiledlayout(fig, ceil(N_rows/nCols), nCols, 'TileSpacing', 'compact', 'Padding', 'compact');
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title(t, sprintf('Two-Gaussian fits | Page %d/%d', pageIdx, numPages), ...
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'FontSize', opts.FontSize + 2, 'FontWeight', 'bold', 'FontName', opts.FontName);
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for r = 1:N_rows
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k = repSubset(r);
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nexttile;
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hold on; grid on; box on;
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% --- Plot raw curve ---
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if isfield(rawCurves, 'x') && isfield(rawCurves, 'k') && ...
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~isempty(rawCurves(k).x) && all(isfinite(rawCurves(k).x))
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plot(rawCurves(k).k, rawCurves(k).x, 'k.-', ...
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'LineWidth', 1, 'DisplayName', 'Raw data');
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end
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% --- Overlay fit if valid ---
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if k <= numel(fitResults)
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fit = fitResults(k);
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if isfield(fit, 'isValid') && ~isempty(fit.isValid) && fit.isValid && ...
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isfield(fit, 'kFine') && isfield(fit, 'yFit') && ...
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~isempty(fit.kFine) && all(isfinite(fit.yFit))
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plot(fit.kFine, fit.yFit, 'r-', ...
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'LineWidth', 1.2, 'DisplayName', 'Two-Gaussian fit');
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end
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end
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set(gca, 'YScale', 'log');
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% --- Labels and title ---
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xlabel('k_\rho', 'FontSize', opts.FontSize);
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ylabel('N. A.', 'FontSize', opts.FontSize);
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title(sprintf('Curve %d', k), 'FontSize', opts.FontSize - 2, 'Interpreter', 'none');
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hold off;
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end
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% --- Render live plot ---
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if ~opts.SkipLivePlot
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drawnow;
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end
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% --- Save figure ---
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if ~opts.SkipSaveFigures
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saveFileName = sprintf('TwoGaussianFits_page_%02d.png', pageIdx);
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if exist('Plotter', 'class')
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Plotter.saveFigure(fig, ...
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'SaveFileName', saveFileName, ...
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'SaveDirectory', saveFolder, ...
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'SkipSaveFigures', opts.SkipSaveFigures);
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else
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saveas(fig, fullfile(saveFolder, saveFileName));
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end
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end
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% --- Close invisible figure to free memory ---
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if opts.SkipLivePlot
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close(fig);
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end
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end
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end
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