Add Datastorage
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Silas
278
Classes/Warehouse_class/functions/fwm_plots/plotCurve.m
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278
Classes/Warehouse_class/functions/fwm_plots/plotCurve.m
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function plotCurve(wh,plotJob)
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%PLOTCURVE Summary of this function goes here
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% Detailed explanation goes here
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fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
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if isvalid(fig)
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figure(fig)
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fig = get(fig);
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AxesMain = fig.CurrentAxes;
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hold on
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else
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fig = figure('name',char(plotJob.figName));
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AxesMain = gca;
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hold on
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end
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col = plotJob.color;
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% we want to fetch all realizations
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if plotJob.pmd == 0
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realization = 499;
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% realization = 0:7;
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else
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realization = wh.parameter.realization.values(1:end);
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end
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realization = wh.parameter.realization.values(1:end);
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% get all xAxis values
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xAxis = wh.parameter.p_out.values;
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% Fetch Data from Warehouse
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for xl = 1:numel(xAxis)
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p_out = xAxis(xl);
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if string(plotJob.dataStatArg) == "Worst"
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temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
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temp = removeZeros(temp);
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ber(xl) = max(temp,[],'all');
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linew = 1.0;
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markersz = 3;
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linestyle = '-';
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elseif string(plotJob.dataStatArg) == "AVG"
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temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
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temp = removeZeros(temp);
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ber(xl) = mean(temp,'all');
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linew = 1.0;
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markersz = 3;
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linestyle = '--';
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elseif string(plotJob.dataStatArg) == "Best"
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temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
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temp = removeZeros(temp);
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ber(xl) = min(temp,[],'all');
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linew = 1.0;
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markersz = 3;
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linestyle = '-';
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elseif string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)"
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temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
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temp = removeZeros(temp);
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ber(:,xl) = mean(temp,1,"omitnan").';
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linew = 1;
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markersz = 1;
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linestyle = '-';
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elseif string(plotJob.dataStatArg) == "Lineplot with quartiles"
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temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
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temp = removeZeros(temp);
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ber(xl) = mean(temp,"all","omitnan").';
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upperq(xl) = quantile(temp,0.99,"all");
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lowerq(xl) = quantile(temp,0.04,"all");
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if lowerq(xl) == 0
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lowerq(xl) = lowerq(xl-1);
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end
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% upperq(xl) = 0.5*std(tmp,1,'all','omitnan');
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% lowerq(xl) = 0.5*std(tmp,1,'all','omitnan');
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% upperq(xl) = max(dataNoNans);
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% lowerq(xl) = min(dataNoNans);
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% upperq(xl) = mean(tmp,"all","omitnan") + 1.96 * (std(tmp,1,'all','omitnan')/sqrt(numel(tmp)));
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% lowerq(xl) = mean(tmp,"all","omitnan") - 1.96 * (std(tmp,1,'all','omitnan')/sqrt(numel(tmp)));
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linew = 1;
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markersz = 1;
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linestyle = '-';
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elseif string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations"
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raw_fetch = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw).';
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tmp = reshape(raw_fetch,[],1);
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ber(1:size(tmp,1),xl) = tmp;
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ber_per_chann(:,:,xl) = raw_fetch;
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linew = 0.3;
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markersz = 2;
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linestyle = ':';
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end
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end
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%routine to remove total outliers (here those wehere the rop curve has a mean BER greater than 0.1)
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% ber_per_chann_clean = NaN(size(ber_per_chann));
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% for ch = 1:size(ber_per_chann,1)
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% bla = squeeze(ber_per_chann(ch,:,:));
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% ber_per_chann(ch,find(mean(bla,2)>0.25),:) = NaN;
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% cleaned = rmoutliers(bla,"mean",'ThresholdFactor',2);
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%
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% ber_per_chann_clean(ch,1:size(cleaned,1),1:size(cleaned,2)) = cleaned;
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%
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% end
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%
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% ber = [];
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% for rop = 1:size(ber_per_chann,3)
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% temp = squeeze(ber_per_chann_clean(:,:,rop));
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% ber(rop) = mean(temp,"all","omitnan").';
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% upperq(rop) = quantile(temp,0.9,"all");
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% lowerq(rop) = quantile(temp,0.1,"all");
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% end
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xAxis = xAxis;
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% Plot Data
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if string(plotJob.plotTypeArg) == "Scatter"
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for rlz = 1:size(ber,1)
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if rlz < size(ber,1)
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scatter(xAxis,ber(rlz,:),markersz,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'HandleVisibility','off');
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else
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scatter(xAxis,ber(rlz,:),markersz,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
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end
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end
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elseif string(plotJob.plotTypeArg) == "Lines"
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% if ~anynan(ber)
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% [xAxis,ber] = interpCurve(xAxis, ber);
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% end
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for rlz = 1:size(ber,1)
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%
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if (string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations")||(string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)")
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ch = mod(rlz,plotJob.ch);
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if ch == 0; ch = plotJob.ch; end
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else
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ch = plotJob.dataStatArg;
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end
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if rlz < size(ber,1)
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s = plot(xAxis,ber(rlz,:),linestyle,'Marker',"none",'MarkerSize',markersz,'LineWidth',linew,'Color',col,'Parent', AxesMain,'HandleVisibility','off');
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s.DataTipTemplate.Interpreter = "latex";
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s.DataTipTemplate.DataTipRows(1).Label = "Ch: ";
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s.DataTipTemplate.DataTipRows(1).Value = repmat(ch,size(ber));
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s.DataTipTemplate.DataTipRows(1);
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s.DataTipTemplate.DataTipRows(2) = [];
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else
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if string(plotJob.dataStatArg) == "Lineplot with quartiles"
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[hl,hp] = boundedline(xAxis,ber(rlz,:),([(ber(rlz,:)-lowerq(rlz,:));upperq(rlz,:)-ber(rlz,:)]'),'-o','alpha','Color',col,'transparency', 0.1,'linewidth',0.7);
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hl.MarkerFaceColor = col;
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hl.MarkerSize = 3;
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set(hp,'HandleVisibility','off');
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%hp.LineWidth = 1.2;
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ho = outlinebounds(hl,hp);
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set(ho, 'linestyle', ':', 'color', col,'Linewidth',0.5);
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set(ho,'HandleVisibility','off');
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else
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s = plot(xAxis,ber(rlz,:),linestyle,'Marker',"o",'MarkerFaceColor',col,'MarkerSize',markersz,'LineWidth',linew,'Color',col,'Parent', AxesMain,'DisplayName',[plotJob.displayname]);
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s.DataTipTemplate.Interpreter = "latex";
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s.DataTipTemplate.DataTipRows(1).Label = "Ch: ";
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s.DataTipTemplate.DataTipRows(1).Value = repmat(string(ch),size(ber));
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s.DataTipTemplate.DataTipRows(1)
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s.DataTipTemplate.DataTipRows(2) = [];
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end
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end
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end
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end
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% Draw FEC Threshold Line
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%get x data of first children:
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%get all linear Values
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if 0
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linear = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,wh.parameter.p_out.values,0,0,499,"symmetric");
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linear = mean(linear,2);
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lincurve = findall(AxesMain, 'Type', 'line','DisplayName','Linear Baseline');
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%
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if isempty(lincurve)
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xdata = AxesMain.Children(1).XData;
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hdfec = 3.8e-3.*ones(size(xdata));
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plot(xdata,linear,'-','Marker',"o",'MarkerSize',3,'LineWidth',4,'Color',[0.6400 0.6400 0.6400],'MarkerFaceColor',[0.6400 0.6400 0.6400],'Parent', AxesMain,'DisplayName','Linear Baseline');
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%h = get(gca,'Children');
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%set(gca,'Children',[h(2) h(1)])
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end
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end
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feccurve = findall(AxesMain, 'Type', 'line','DisplayName','FEC $3.8*10^{-3}$');
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%
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if isempty(feccurve)
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xdata = AxesMain.Children(1).XData;
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hdfec = 3.8e-3.*ones(size(xdata));
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plot(xdata,hdfec,'--','MarkerSize',4,'Color','black','MarkerFaceColor','black','LineWidth',1,'Parent', AxesMain,'DisplayName','FEC $3.8*10^{-3}$','HandleVisibility','off');
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%h = get(gca,'Children');
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%set(gca,'Children',[h(2) h(1)])
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end
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% Figure Settings
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%title(AxesMain,plotJob.title,"Interpreter","none");
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xlabel(AxesMain,plotJob.xAxisLabel,"Interpreter","latex");
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ylabel(AxesMain,plotJob.yAxisLabel,"Interpreter","latex");
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set(AxesMain,'yscale','log');
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grid(AxesMain,'on');
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grid(AxesMain,'minor');
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grid minor
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%legend(AxesMain);
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fontsize(AxesMain,8,"points")
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% fontname(AxesMain,"Arial")
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fig.Position = plotJob.Position;
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fig.Units = "centimeters";
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fig.Position = [2 2 8.5 7];
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set(AxesMain,'TickLabelInterpreter','latex')
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set(AxesMain.Legend,'Interpreter','latex')
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% set(gcf,'Units','centimeters')
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% set(gcf,'Position',[2 2 9 4.5])
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ylim([1e-5,0.3]);
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xlim([min(xAxis),-3]);
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% annotation('textbox', [0.125, 0.32, 0.1, 0.1], 'String', "FEC 3.8e-3","LineStyle","none","FontSize",8,"FontUnits","points")
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hold off
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end
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function vec = removeZeros(vec)
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% Find rows that contain only zeros
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rows_to_remove = all(vec == 0, 2);
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% Remove rows with only zeros
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vec(rows_to_remove, :) = [];
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end
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