function DataTable = nappGenerateSpectra(DataTable,varargin) %nappGenerateSpectra reduces the dimension of images to generate spectra % % nappGenerateSpectra(FileList,tmpDataSelection) % % *input* % FileList: data table % tableSelection (optional): logical array to filter data table % tableVariable (optional): select source: image(default),'imageRoh' % mode: mean (default) averages the sequence iterations; sum adds them % % *output* % with mode mean the spectrum will be saved in the table variable spectrum_countsPerSecond % with mode sum the spectrum will be saved in the table variable spectrum_counts % % FIXME: spectrum_counts is not implemented yet. % Define conditions and defaults of input defaultTableVariable = 'image'; expectedTableVariable = {'image','imageRoh'}; defaultMode = 'mean'; expectedMode = {'mean','sum','trapz'}; defaultEkinStart = 0; defaultEkinEnd = 0; defaultTableSelection = true(size(DataTable,1)); % Parse input p = inputParser; addRequired(p,'DataTable',@istable); addOptional(p,'tableSelection',defaultTableSelection,@islogical); addParameter(p,'tableVariable',defaultTableVariable,... @(x) any(validatestring(x,expectedTableVariable))); addParameter(p,'mode',defaultMode,... @(x) any(validatestring(x,expectedMode))); addParameter(p,'iterationRange',[0:0]); addParameter(p,'eKinStart',defaultEkinStart,@isnumeric) addParameter(p,'eKinEnd',defaultEkinEnd,@isnumeric) parse(p,DataTable,varargin{:}); % add empty variable to table existColumn = strcmp('spectrum_countsPerSecond',p.Results.DataTable.Properties.VariableNames); if ~any(existColumn) DataTable.spectrum_countsPerSecond = cell(size(p.Results.DataTable,1),1); end existColumn = strcmp('spectrum_counts',p.Results.DataTable.Properties.VariableNames); if ~any(existColumn) DataTable.spectrum_counts = cell(size(p.Results.DataTable,1),1); end existColumn = strcmp('logGenerateRange',p.Results.DataTable.Properties.VariableNames); if ~any(existColumn) DataTable.logGenerateRange = NaN(size(p.Results.DataTable,1),2); end existColumn = strcmp('logGenerateDate',p.Results.DataTable.Properties.VariableNames); if ~any(existColumn) DataTable.logGenerateDate = cellstr(repmat(' ',size(p.Results.DataTable,1),1)); end existColumn = strcmp('logGenerateMode',p.Results.DataTable.Properties.VariableNames); if ~any(existColumn) DataTable.logGenerateDate = cellstr(repmat(' ',size(p.Results.DataTable,1),1)); end % check input (all elements of input variable need to have non-zero size) if ~all(cell2mat(cellfun(@size,p.Results.DataTable(p.Results.tableSelection,:).(p.Results.tableVariable),'UniformOutput',false)),'all') disp('The table variable appears to be empty. I quit now') error('The table variable appears to be empty.') end % create empty variables tmp_3 = cell(size(p.Results.DataTable(p.Results.tableSelection,:),1),1); tmp_6 = cell(size(p.Results.DataTable(p.Results.tableSelection,:),1),1); tmp_4 = NaN(size(p.Results.DataTable(p.Results.tableSelection,:),1),1); tmp_5 = NaN(size(p.Results.DataTable(p.Results.tableSelection,:),1),1); % repeat this for all columns in input. for ii = 1:size(p.Results.DataTable(p.Results.tableSelection,:),1) if endsWith(p.Results.DataTable(p.Results.tableSelection,:).name{ii},'h5') % let's do NEXAFS first. % Get index of EkinStart and EkinEnd if (p.Results.eKinStart) == 0 tmp_1 = 1; else tmp_1 = find(p.Results.DataTable(p.Results.tableSelection,:).scientaEkin_eV{ii} >= p.Results.eKinStart,1); end if (p.Results.eKinEnd) == 0 tmp_2 = length(p.Results.DataTable(p.Results.tableSelection,:).scientaEkin_eV{ii}); else tmp_2 = find(p.Results.DataTable(p.Results.tableSelection,:).scientaEkin_eV{ii} >= p.Results.eKinEnd,1); end if contains(p.Results.mode,'trapz') tmp_3(ii,1)= {trapz(p.Results.DataTable(p.Results.tableSelection,:).scientaEkin_eV{ii}(tmp_1:tmp_2),... p.Results.DataTable(p.Results.tableSelection,:).(p.Results.tableVariable){ii}(tmp_1:tmp_2,:))'}; elseif (contains(p.Results.mode,'sum') | contains(p.Results.mode,'mean')) tmp_3(ii,1) = {sum(p.Results.DataTable(p.Results.tableSelection,:).(p.Results.tableVariable){ii}(tmp_1:tmp_2,:),1)'}; %#ok<*AGROW> end % log tmp_4(ii,1) = p.Results.DataTable(p.Results.tableSelection,:).scientaEkin_eV{ii}(tmp_1); tmp_5(ii,1) = p.Results.DataTable(p.Results.tableSelection,:).scientaEkin_eV{ii}(tmp_2); elseif endsWith(p.Results.DataTable(p.Results.tableSelection,:).name{ii},'ibw') % then do Igorfiles if p.Results.iterationRange(1) == 0 startRange = 1; endRange = size(p.Results.DataTable(p.Results.tableSelection,:).(p.Results.tableVariable){ii},2); else startRange = p.Results.iterationRange(1); endRange = p.Results.iterationRange(2); end if (contains(p.Results.mode,'mean') | contains(p.Results.mode,'trapz')) tmp_6(ii,1)= {mean(p.Results.DataTable(p.Results.tableSelection,:).(p.Results.tableVariable){ii}(:,startRange:endRange),2)}; elseif contains(p.Results.mode,'sum') tmp_3(ii,1) = {sum(p.Results.DataTable(p.Results.tableSelection,:).(p.Results.tableVariable){ii}(:,startRange:endRange),2)}; %#ok<*AGROW> end % log tmp_4(ii,1) = startRange; tmp_5(ii,1) = endRange; end end % write results to table DataTable.spectrum_counts(p.Results.tableSelection) = tmp_3; DataTable.spectrum_countsPerSecond(p.Results.tableSelection) = tmp_6; % write log to table DataTable.logGenerateMode(p.Results.tableSelection,:) = cellstr(repmat(p.Results.mode,size(p.Results.DataTable(p.Results.tableSelection,:),1),1)); DataTable.logGenerateRange(p.Results.tableSelection,:) = [tmp_4 tmp_5]; DataTable.logGenerateDate(p.Results.tableSelection,:) = cellstr(repmat(datestr(now),size(p.Results.DataTable(p.Results.tableSelection,:),1),1)); end