231 lines
8.4 KiB
Matlab
231 lines
8.4 KiB
Matlab
function runInteractiveASDTwoGaussianFitGUI(spectral_analysis_results)
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%% runInteractiveASDTwoGaussianFitGUI
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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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% Interactive viewer for raw angular spectral distributions.
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% Lets user browse through individual curves and refit two-Gaussian models
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% live as threshold parameters are adjusted.
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%
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% Controls:
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% - Slider or ←/→ keys to browse curves
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% - Editable boxes for thresholds (Residual, Position, Amplitude, MaxTheta)
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% - "Re-fit" button triggers recomputation
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%
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% Dependencies:
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% Requires Analyzer.fitTwoGaussianCurvesToAngularSpectralDistribution.m
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%% --- Initialization ---
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rawCurves.x = spectral_analysis_results.S_theta_norm_all;
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rawCurves.theta = spectral_analysis_results.theta_vals;
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% Handle input organization
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if iscell(rawCurves.x)
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Ncurves = numel(rawCurves.x);
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else
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Ncurves = size(rawCurves.x, 1);
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tmp = arrayfun(@(i) struct('x', rawCurves.x(i, :), 'theta', rawCurves.theta(:)'), 1:Ncurves);
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rawCurves = tmp(:);
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end
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% Default fit parameters
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params.MaxTheta = pi/2;
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params.ResidualThreshold = 0.15;
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params.PositionThreshold = pi/15;
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params.AmplitudeThreshold = 0.15;
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currentIdx = 1;
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%% --- Create figure ---
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hFig = findobj('Type','figure','Tag','InteractiveTwoGaussianFit');
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if isempty(hFig)
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hFig = figure('Name','Angular Spectra Fit Viewer',...
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'NumberTitle','off',...
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'Position',[100 100 1250 800],...
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'Color','w',...
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'KeyPressFcn',@keyPressCallback,...
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'Tag','InteractiveTwoGaussianFit');
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else
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figure(hFig); clf(hFig);
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end
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%% --- Axes for plot ---
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hAx = axes('Parent',hFig,'Position',[0.08 0.1 0.55 0.8]);
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grid(hAx,'on'); box(hAx,'on');
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xlabel(hAx,'\theta (rad)','FontSize',12);
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ylabel(hAx,'Normalized amplitude','FontSize',12);
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%% --- Slider for curve index ---
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hSlider = uicontrol('Style','slider','Min',1,'Max',Ncurves,'Value',1,...
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'SliderStep',[1/(Ncurves-1), 10/(Ncurves-1)],...
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'Units','normalized','Position',[0.1 0.02 0.5 0.03],...
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'Callback',@(~,~) updatePlot());
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%% --- Parameter definitions ---
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paramNames = {'MaxTheta','ResidualThreshold','PositionThreshold','AmplitudeThreshold'};
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paramLabels = {'Max Theta (rad)', 'Residual Threshold', 'Position Threshold (rad)', 'Amplitude Threshold'};
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paramDescs = {'Upper limit for fitting range',...
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'Maximum mean residual for valid fits',...
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'Minimum peak separation required',...
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'Minimum amplitude ratio threshold'};
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nParams = numel(paramNames);
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hEdit = gobjects(nParams,1);
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baseY = 0.88;
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%% --- Create parameter controls ---
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for i = 1:nParams
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yPos = baseY - 0.12*(i-1);
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% Label
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uicontrol('Style','text','Units','normalized',...
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'Position',[0.68 yPos 0.25 0.04],...
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'String',paramLabels{i},...
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'HorizontalAlignment','left',...
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'FontSize',10,'FontWeight','bold',...
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'BackgroundColor','w');
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% Edit box
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hEdit(i) = uicontrol('Style','edit','Units','normalized',...
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'Position',[0.9 yPos 0.07 0.045],...
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'String',num2str(params.(paramNames{i}), '%.4f'),...
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'Callback',@(src,~) applyParams());
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% Description
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uicontrol('Style','text','Units','normalized',...
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'Position',[0.68 yPos - 0.04 0.35 0.03],...
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'String',paramDescs{i},...
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'HorizontalAlignment','left',...
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'FontSize',8,'ForegroundColor',[0.4 0.4 0.4],...
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'BackgroundColor','w');
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end
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%% --- Apply button ---
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uicontrol('Style','pushbutton','Units','normalized',...
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'Position',[0.70 0.35 0.25 0.06],...
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'String','Re-fit All Curves',...
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'FontSize',14,'FontWeight','bold',...
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'BackgroundColor',[0.2 0.6 1],...
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'ForegroundColor','w',...
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'Callback',@(~,~) refitAll());
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%% --- Fit info text boxes ---
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infoLabels = {'Fit validity:', 'Peak positions (rad):', 'Amplitudes:'};
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hInfoText = gobjects(numel(infoLabels),1);
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for i = 1:numel(infoLabels)
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yText = 0.22 - 0.07*(i-1);
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uicontrol('Style','text','Units','normalized',...
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'Position',[0.68 yText 0.25 0.05],...
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'String',infoLabels{i},...
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'FontSize',10,'FontWeight','bold',...
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'HorizontalAlignment','left',...
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'BackgroundColor','w');
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hInfoText(i) = uicontrol('Style','text','Units','normalized',...
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'Position',[0.88 yText 0.1 0.05],...
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'String','-','FontSize',10,...
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'HorizontalAlignment','left',...
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'BackgroundColor','w');
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end
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%% --- Compute initial fits ---
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[fitResults, rawData] = Analyzer.fitTwoGaussianCurvesToAngularSpectralDistribution(...
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spectral_analysis_results.S_theta_norm_all,...
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spectral_analysis_results.theta_vals,...
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'MaxTheta', params.MaxTheta,...
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'ResidualThreshold', params.ResidualThreshold,...
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'PositionThreshold', params.PositionThreshold,...
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'AmplitudeThreshold', params.AmplitudeThreshold);
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%% --- Initial plot ---
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updatePlot();
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%% --- Nested functions ---
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function applyParams()
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% Update parameters from GUI fields
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for j = 1:nParams
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val = str2double(hEdit(j).String);
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if ~isnan(val)
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params.(paramNames{j}) = val;
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end
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end
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refitAll();
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end
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function refitAll()
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% Recompute all fits
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drawnow;
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[fitResults, rawData] = Analyzer.fitTwoGaussianCurvesToAngularSpectralDistribution(...
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spectral_analysis_results.S_theta_norm_all,...
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spectral_analysis_results.theta_vals,...
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'MaxTheta', params.MaxTheta,...
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'ResidualThreshold', params.ResidualThreshold,...
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'PositionThreshold', params.PositionThreshold,...
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'AmplitudeThreshold', params.AmplitudeThreshold);
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updatePlot();
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end
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function updatePlot()
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idx = round(get(hSlider,'Value'));
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currentIdx = idx;
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cla(hAx);
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hold(hAx,'on');
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raw = rawData(idx);
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plot(hAx, raw.theta, raw.x, 'k.-', 'LineWidth', 1, 'DisplayName', 'Raw Data');
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if idx <= numel(fitResults)
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fit = fitResults(idx);
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if isfield(fit,'isValid') && ~isempty(fit.isValid) && fit.isValid
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plot(hAx, fit.thetaFine, fit.yFit, 'r-', 'LineWidth', 1.5, 'DisplayName', 'Two-Gaussian Fit');
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% Extract parameters from pFit vector if available
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if isfield(fit,'pFit') && numel(fit.pFit) >= 6
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A1 = fit.pFit(1); mu1 = fit.pFit(2);
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A2 = fit.pFit(4); mu2 = fit.pFit(5);
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hInfoText(1).String = 'Valid';
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hInfoText(1).ForegroundColor = [0 0.5 0];
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hInfoText(2).String = sprintf('[%.3f, %.3f]', mu1, mu2);
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hInfoText(3).String = sprintf('[%.2f, %.2f]', A1, A2);
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else
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hInfoText(1).String = 'Valid';
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hInfoText(1).ForegroundColor = [0 0.5 0];
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hInfoText(2).String = '-';
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hInfoText(3).String = '-';
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end
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else
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hInfoText(1).String = 'Invalid';
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hInfoText(1).ForegroundColor = [0.7 0 0];
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hInfoText(2).String = '-';
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hInfoText(3).String = '-';
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end
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end
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set(gca, 'YScale', 'log');
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title(hAx,sprintf('Curve %d / %d', idx, Ncurves),'FontSize',16);
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legend(hAx,'Location','northeast','FontSize',14);
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hold(hAx,'off');
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drawnow;
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end
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function keyPressCallback(event)
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switch event.Key
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case 'rightarrow'
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if currentIdx < Ncurves
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currentIdx = currentIdx + 1;
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set(hSlider,'Value',currentIdx);
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updatePlot();
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end
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case 'leftarrow'
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if currentIdx > 1
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currentIdx = currentIdx - 1;
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set(hSlider,'Value',currentIdx);
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updatePlot();
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end
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end
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end
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end
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