Refactor energy calibration pipeline, introduce modern arguments blocks, and add universal logging

* Transitioned nappNorm, nappDetermineShift, and nappCopyShift to use modern MATLAB arguments blocks, removing their legacy functionSignatures.json entries.

* Refactored nappNorm to rely on prior peak fitting results (e.g., from nappFitGaussXps) for normalization rather than performing the fitting internally.

* Decoupled energy calibration: nappDetermineShift now solely calculates internal binding energy shifts, and nappCopyShift distributes them using a unified matching engine ('earlier', 'after', 'spectrumNumber').

* Implemented a Universal Logging Block to track data provenance, automatically appending execution timestamps and caller script names to processed rows.

* Updated nappCombineSpectra to output a logDataSource cell array and cleanly name combined spectra.

* Created nappSaveDataTable for automatic, script-named .mat file saving, complete with a Live Editor interceptor.

* Added a publish-mode silencer to nappFitGaussXps to prevent optimizer spam in generated PDFs.

* Updated readme.md to document the new arguments structure, the 3-step calibration workflow, the matching engine, and the new table variables.
This commit is contained in:
bartels-rausch committed 2026-03-25 12:07:49 +01:00
1 parent b4cb748cfa
commit 091cf00e77
18 files changed
+822 -1106

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@@ -3,6 +3,7 @@
%[text] [https://gitea.psi.ch/5505/functionsMatlab/src/branch/main/beamtime](https://gitea.psi.ch/5505/functionsMatlab/src/branch/main/beamtime)
%[text] and
%[text] [https://gitea.psi.ch/5505/functionsMatlab/src/branch/main/beamtime/documentedExampleScripts](https://gitea.psi.ch/5505/functionsMatlab/src/branch/main/beamtime/documentedExampleScripts)
%%
%[text] ## Load Data
%[text] Import raw beamtime data into the Matlab workspace for analysis. Data is organized in a single *matlab data table* where XPS intensities from region iterations are averaged and normalized to counts per second (CPS). This ensures comparison regardless of dwell time or region iteration settings.
%[text] There are several options to import. The preferred way is to write a importData.m script to call the import function and to add notes to data. Once imported, data is saved to a FileList.mat file, which should be updated regularly to ensure the MATLAB works with the most recent data.
@@ -16,6 +17,15 @@ FileList = outerjoinRowToTable(FileList,tmpData.FileList);
clearvars tmp*
%%
%[text] ## Align sample
%[text] - Approach and take spectra too far away, too close, in working distance.
%[text] - At least note dwell time and pass energy and area reading for a few distances
%[text] - also note x,y,z \
%[text] ## Reference spectra
%[text] 1. sample prior to dosing.
%[text] 2. sample prior to adding dosing carrier gas.
%[text] 3. gas-phase with all settings used for sample.
%[text] 4. cold and warm sample holder without sample (if contamination is an issue). \
%[text] ## Survey: Characterize sample
%[text] Survey spectra are used to characterize new samples and to monitor samples over time. They should show all expected elements and no unexpected ones, and are typically recorded at key times (before/after experiments, when dosing changes, at regular intervals).
%[text] **If unexpected peaks appear**
@@ -134,8 +144,8 @@ tmpDataSelection = month(FileList.lastModifiedDatenum) == 11 ...
% List the selected files in the command window.
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:2f867eb6]
% plot
nappPlot(FileList,tmpDataSelection,'tableVariable','image','mode','iterations','plotStep',2); %[output:30898c2d]
legend
nappPlot(FileList,tmpDataSelection,'tableVariable','image','mode','iterations','plotStep',2); %[output:30898c2d] %[output:0b22a369]
legend %[output:0b22a369]
%%
%[text] ### Plot shifting images
%[text] The two O1s images MgO ice in Ar HONO, 21-Aug-2021 and MgO ice AA in N2, 25-Oct-2021 illustrate the difference between unusable and usable data.
@@ -147,7 +157,7 @@ tmpDataSelection = matches(FileList.name,'0067067_O1s_1000eV.ibw');
% List the selected files in the command window.
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:27ab5aa8]
% plot
nappPlot(FileList,tmpDataSelection);
nappPlot(FileList,tmpDataSelection); %[output:3f52d2f2] %[output:2edd5c8e]
%[text]
%%
%[text] #### Remove a single iteration from image
@@ -158,11 +168,11 @@ tmpDataSelection = month(FileList.lastModifiedDatenum) == 10 ...
% List the selected files in the command window.
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:9949b5fb]
% plot
nappPlot(FileList,tmpDataSelection);
nappPlot(FileList,tmpDataSelection); %[output:0ab749aa]
% remove iteration #9
FileList(tmpDataSelection,:).image{:}(:,9)=[];
% plot again
nappPlot(FileList,tmpDataSelection,'tableVariable','image');
nappPlot(FileList,tmpDataSelection,'tableVariable','image'); %[output:26c3d5db]
%%
%[text] ## Binding energy scale
%[text] To compare spectra taken at different photon energies or to present your data, convert kinetic energy to binding energy using three steps:
@@ -205,10 +215,10 @@ tmpDataSelection = matches(FileList.sample,'Ice with N2')...
& (day(FileList.lastModifiedDatenum) >= 27);
FileList = nappBindingEnergyXps(FileList,'tableSelection',tmpDataSelection);
% plot C1s spectra
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond',...
'mode','AllInOne','energyScale','kinetic');
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond',...
'mode','AllInOne','energyScale','binding');
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond',... %[output:group:1b93bfe3] %[output:6c799ef9]
'mode','AllInOne','energyScale','kinetic'); %[output:group:1b93bfe3] %[output:6c799ef9]
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond',... %[output:group:01cb9662] %[output:644d063f]
'mode','AllInOne','energyScale','binding'); %[output:group:01cb9662] %[output:644d063f]
%[text] ## Normalize spectra
%[text] Normalization is done to get an estimate of surface concentration and to identify changes in intensity driven by chemical or physical processes from experimental variations, such as changes in working distance.
%%
@@ -239,10 +249,10 @@ tmpDataSelection = (month(FileList.lastModifiedDatenum) == 2) ...
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:1cf215b8]
%%
% fit
FileList = nappFitGaussXps(FileList,tmpFitParameters,tmpDataSelection,... %[output:group:67ea982a] %[output:22c700e4] %[output:3b9a689c] %[output:712f3db2]
'tableVariable','spectrum_countsPerSecond','energyScale','kinetic',... %[output:22c700e4] %[output:3b9a689c] %[output:712f3db2]
'mode','unconstrained','backgroundMode','linear','showFigures','on'); %[output:group:67ea982a] %[output:22c700e4] %[output:3b9a689c] %[output:712f3db2]
xlim([360, 366]);
FileList = nappFitGaussXps(FileList,tmpFitParameters,tmpDataSelection,... %[output:group:67ea982a] %[output:22c700e4] %[output:3b9a689c] %[output:712f3db2] %[output:7541066b]
'tableVariable','spectrum_countsPerSecond','energyScale','kinetic',... %[output:22c700e4] %[output:3b9a689c] %[output:712f3db2] %[output:7541066b]
'mode','unconstrained','backgroundMode','linear','showFigures','on'); %[output:group:67ea982a] %[output:22c700e4] %[output:3b9a689c] %[output:712f3db2] %[output:7541066b]
xlim([360, 366]); %[output:7541066b]
%%
% filter
@@ -251,25 +261,25 @@ tmpDataSelection = (month(FileList.lastModifiedDatenum) == 2) ...
& (day(FileList.lastModifiedDatenum) >= 27) ...
& matches(FileList.name,"0056056_O1s_900eV.ibw");
% show data
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:8f9f23b4]
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:969d4f09]
% fit
FileList = nappFitGaussXps(FileList,tmpFitParameters,tmpDataSelection,... %[output:group:1a1bf894] %[output:969d4f09] %[output:608e038f] %[output:598292bc]
'tableVariable','spectrum_countsPerSecond','energyScale','kinetic',... %[output:969d4f09] %[output:608e038f] %[output:598292bc]
'mode','unconstrained','backgroundMode','linear','showFigures','on'); %[output:group:1a1bf894] %[output:969d4f09] %[output:608e038f] %[output:598292bc]
xlim([360, 366]);
FileList = nappFitGaussXps(FileList,tmpFitParameters,tmpDataSelection,... %[output:group:1a1bf894] %[output:880f99d8] %[output:608e038f] %[output:598292bc] %[output:342429e8]
'tableVariable','spectrum_countsPerSecond','energyScale','kinetic',... %[output:880f99d8] %[output:608e038f] %[output:598292bc] %[output:342429e8]
'mode','unconstrained','backgroundMode','linear','showFigures','on'); %[output:group:1a1bf894] %[output:880f99d8] %[output:608e038f] %[output:598292bc] %[output:342429e8]
xlim([360, 366]); %[output:342429e8]
% select
tmpDataSelection = (month(FileList.lastModifiedDatenum) == 2) ...
& (year(FileList.lastModifiedDatenum) == 2022) ...
& (day(FileList.lastModifiedDatenum) >= 27) ...
& matches(FileList.name,"0060060_O1s_900eV.ibw");
% List the selected files in the command window.
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:0ab41352]
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','scientaPassEnergy_eV'})) %[output:326c5622]
%%
% fit
FileList = nappFitGaussXps(FileList,tmpFitParameters,tmpDataSelection,... %[output:group:9c54ed73] %[output:326c5622] %[output:5bd5684a] %[output:42116ac3]
'tableVariable','spectrum_countsPerSecond','energyScale','kinetic',... %[output:326c5622] %[output:5bd5684a] %[output:42116ac3]
'mode','unconstrained','backgroundMode','linear','showFigures','on'); %[output:group:9c54ed73] %[output:326c5622] %[output:5bd5684a] %[output:42116ac3]
xlim([360, 366]);
FileList = nappFitGaussXps(FileList,tmpFitParameters,tmpDataSelection,... %[output:group:9c54ed73] %[output:7f2dd5ee] %[output:5bd5684a] %[output:42116ac3] %[output:31491535]
'tableVariable','spectrum_countsPerSecond','energyScale','kinetic',... %[output:7f2dd5ee] %[output:5bd5684a] %[output:42116ac3] %[output:31491535]
'mode','unconstrained','backgroundMode','linear','showFigures','on'); %[output:group:9c54ed73] %[output:7f2dd5ee] %[output:5bd5684a] %[output:42116ac3] %[output:31491535]
xlim([360, 366]); %[output:31491535]
%%
%[text] ### Norm the spectra
%[text] The example table lists the three C1s spectra ( 0035035\_C1s\_900eV.ibw ,  0056056\_C1s\_900eV.ibw ,  0060060\_C1s\_900eV.ibw ) and their plots. After scaling, you can compare the C1s spectra directly, since the intensities now reflect a concentration (carbon relative to ice).
@@ -282,14 +292,14 @@ tmpDataSelection = matches(FileList.sample,'Ice with N2')...
& (year(FileList.lastModifiedDatenum) == 2022) ...
& (day(FileList.lastModifiedDatenum) >= 27);
% show data
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','sample'})) %[output:0e8d0cec]
disp(FileList(tmpDataSelection,{'name','sampleTemp_dC','cellPressure_mbar'})) %[output:65618880]
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','sample'})) %[output:65618880]
disp(FileList(tmpDataSelection,{'name','sampleTemp_dC','cellPressure_mbar'})) %[output:9c77f960]
% scale
FileList = nappScale(FileList,tmpDataSelection,'regionOld','C1s','regionNew','O1s'); % C1s with O1s area
% plot scaled data
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsNorm');
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsNorm'); %[output:43e6e41e]
% plot original data
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond');
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond'); %[output:8d96736e]
% filter the data O1s
tmpDataSelection = matches(FileList.sample,'Ice with N2')...
@@ -300,15 +310,15 @@ tmpDataSelection = matches(FileList.sample,'Ice with N2')...
& (year(FileList.lastModifiedDatenum) == 2022) ...
& (day(FileList.lastModifiedDatenum) >= 27);
% show data
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','sample'})) %[output:9c77f960]
disp(FileList(tmpDataSelection,{'name','sampleTemp_dC','cellPressure_mbar'})) %[output:506ce9c9]
disp(FileList(tmpDataSelection,{'name','lastModifiedDatestr','sample'})) %[output:506ce9c9]
disp(FileList(tmpDataSelection,{'name','sampleTemp_dC','cellPressure_mbar'})) %[output:5432d349]
% scale
FileList = nappScale(FileList,tmpDataSelection,'regionOld','O1s','regionNew','O1s'); % O1s with O1s area
% plot scaled data
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsNorm');
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsNorm'); %[output:15414432]
% plot original data
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond');
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond'); %[output:93ebe7fc]
%%
%[text] ## Calculate surface coverage
%[text] Ensure that the dosing yields a surface coverage that is low enough to address your science question, but high enough to provide spectra with sufficient intensity for reliable fitting and interpretation (remember, you can always measure longer to improve signal‑to‑noise).
@@ -327,86 +337,128 @@ nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond');
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>sample<\/strong> \n <strong>____________________________<\/strong> <strong>________________________<\/strong> <strong>________________________________<\/strong>\n\n {'0128128_Survey_850eV.ibw'} {'28-Nov-2025 14:08:31'} {'this is a sample description'}\n\n","truncated":false}}
%---
%[output:04fdda4a]
% data: 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truncated
% data: 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truncated
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truncated
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truncated
%---
%[output:3f09c9f5]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>__________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0146146_Al2p_850eV.ibw'} {'29-Nov-2025 15:25:25'} 50 \n {'0146146_Ar2p_850eV.ibw'} {'29-Nov-2025 15:25:25'} 50 \n {'0146146_C1s_850eV.ibw' } {'29-Nov-2025 15:25:25'} 50 \n {'0146146_Cl2p_850eV.ibw'} {'29-Nov-2025 15:25:25'} 50 \n {'0146146_O1s_850eV.ibw' } {'29-Nov-2025 15:25:25'} 50 \n\n","truncated":false}}
%---
%[output:340587e5]
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truncated
%---
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truncated
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truncated
%---
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truncated
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truncated
%---
%[output:2f867eb6]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>__________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0146146_Al2p_850eV.ibw'} {'29-Nov-2025 15:25:25'} 50 \n\n","truncated":false}}
%---
%[output:30898c2d]
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% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>__________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0067067_O1s_1000eV.ibw'} {'21-Aug-2021 18:05:35'} 50 \n {'0067067_O1s_1000eV.ibw'} {'25-Okt-2021 09:04:27'} 50 \n\n","truncated":false}}
%---
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% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>__________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0067067_O1s_1000eV.ibw'} {'25-Okt-2021 09:04:27'} 50 \n\n","truncated":false}}
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truncated
%---
%[output:1cf215b8]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} {'27-Feb-2022 19:46:48'} 50 \n\n","truncated":false}}
%---
%[output:22c700e4]
% data: {"dataType":"text","outputData":{"text":"Fitting row 1685 of DataTable...\nValidating FitParameter structure...\n Number of peaks detected: 1\n Checking core parameters (required for all modes)...\n Checking mode-specific parameters for mode 'unconstrained'...\n Checking background model parameters for 'linear'...\n✓ FitParameter validation successful for 1 peak(s) in 'unconstrained' mode with 'linear' background.\n\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":"Validating FitParameter structure...\n Number of peaks detected: 1\n Checking core parameters (required for all modes)...\n Checking mode-specific parameters for mode 'unconstrained'...\n Checking background model parameters for 'linear'...\n✓ FitParameter validation successful for 1 peak(s) in 'unconstrained' mode with 'linear' background.\n\n","truncated":false}}
%---
%[output:3b9a689c]
% data: {"dataType":"warning","outputData":{"text":"Warning: Data sizes do not match. Converting all data to column vectors."}}
%---
%[output:712f3db2]
% data: {"dataType":"text","outputData":{"text":"\nGlobalSearch stopped because it analyzed all the trial points.\n\nAll 37 local solver runs converged with a positive local solver exit flag.\n <strong>name<\/strong> <strong>peakPosition<\/strong> <strong>peakArea<\/strong> <strong>peakFWHM<\/strong> \n <strong>_________________________<\/strong> <strong>_________________________________________<\/strong> <strong>__________________________________________________________________<\/strong> <strong>______________________________________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} 363.6 NaN NaN NaN NaN 5.8028e+05 NaN NaN NaN NaN 1.9598 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakBackground<\/strong> \n <strong>_________________________<\/strong> <strong>__________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} -34.061 17280\n\n <strong>name<\/strong> <strong>peakEta<\/strong>\n <strong>_________________________<\/strong> <strong>_______<\/strong>\n\n {'0035035_O1s_900eV.ibw'} NaN \n\n <strong>name<\/strong> <strong>peakShirleyK<\/strong>\n <strong>_________________________<\/strong> <strong>____________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} NaN \n\nFound 1 valid peaks (non-NaN)\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":"\nGlobalSearch stopped because it analyzed all the trial points.\n\n29 out of 30 local solver runs converged with a positive local solver exit flag.\n <strong>name<\/strong> <strong>peakPosition<\/strong> \n <strong>_________________________<\/strong> <strong>_________________________________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} 363.6 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakArea<\/strong> \n <strong>_________________________<\/strong> <strong>__________________________________________________________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} 5.8028e+05 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakFWHM<\/strong> \n <strong>_________________________<\/strong> <strong>______________________________________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} 1.9598 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakBackground<\/strong> \n <strong>_________________________<\/strong> <strong>__________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} -34.088 17290\n\nFound 1 valid peaks (non-NaN)\n","truncated":false}}
%---
%[output:8f9f23b4]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} {'28-Feb-2022 12:15:48'} 50 \n\n","truncated":false}}
%[output:7541066b]
% data: 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%---
%[output:969d4f09]
% data: {"dataType":"text","outputData":{"text":"Fitting row 1750 of DataTable...\nValidating FitParameter structure...\n Number of peaks detected: 1\n Checking core parameters (required for all modes)...\n Checking mode-specific parameters for mode 'unconstrained'...\n Checking background model parameters for 'linear'...\n✓ FitParameter validation successful for 1 peak(s) in 'unconstrained' mode with 'linear' background.\n\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} {'28-Feb-2022 12:15:48'} 50 \n\n","truncated":false}}
%---
%[output:880f99d8]
% data: {"dataType":"text","outputData":{"text":"Validating FitParameter structure...\n Number of peaks detected: 1\n Checking core parameters (required for all modes)...\n Checking mode-specific parameters for mode 'unconstrained'...\n Checking background model parameters for 'linear'...\n✓ FitParameter validation successful for 1 peak(s) in 'unconstrained' mode with 'linear' background.\n\n","truncated":false}}
%---
%[output:608e038f]
% data: {"dataType":"warning","outputData":{"text":"Warning: Data sizes do not match. Converting all data to column vectors."}}
%---
%[output:598292bc]
% data: {"dataType":"text","outputData":{"text":"\nGlobalSearch stopped because it analyzed all the trial points.\n\nAll 21 local solver runs converged with a positive local solver exit flag.\n <strong>name<\/strong> <strong>peakPosition<\/strong> <strong>peakArea<\/strong> <strong>peakFWHM<\/strong> \n <strong>_________________________<\/strong> <strong>_________________________________________<\/strong> <strong>__________________________________________________________________<\/strong> <strong>______________________________________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} 363.2 NaN NaN NaN NaN 2.6848e+05 NaN NaN NaN NaN 2.1012 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakBackground<\/strong> \n <strong>_________________________<\/strong> <strong>________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} 54.159 -15426\n\n <strong>name<\/strong> <strong>peakEta<\/strong>\n <strong>_________________________<\/strong> <strong>_______<\/strong>\n\n {'0056056_O1s_900eV.ibw'} NaN \n\n <strong>name<\/strong> <strong>peakShirleyK<\/strong>\n <strong>_________________________<\/strong> <strong>____________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} NaN \n\nFound 1 valid peaks (non-NaN)\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":"\nGlobalSearch stopped because it analyzed all the trial points.\n\nAll 18 local solver runs converged with a positive local solver exit flag.\n <strong>name<\/strong> <strong>peakPosition<\/strong> \n <strong>_________________________<\/strong> <strong>_________________________________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} 363.2 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakArea<\/strong> \n <strong>_________________________<\/strong> <strong>__________________________________________________________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} 2.6848e+05 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakFWHM<\/strong> \n <strong>_________________________<\/strong> <strong>______________________________________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} 2.1012 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakBackground<\/strong> \n <strong>_________________________<\/strong> <strong>________________<\/strong>\n\n {'0056056_O1s_900eV.ibw'} 54.186 -15436\n\nFound 1 valid peaks (non-NaN)\n","truncated":false}}
%---
%[output:0ab41352]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} {'28-Feb-2022 12:47:15'} 50 \n\n","truncated":false}}
%[output:342429e8]
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%---
%[output:326c5622]
% data: {"dataType":"text","outputData":{"text":"Fitting row 1756 of DataTable...\nValidating FitParameter structure...\n Number of peaks detected: 1\n Checking core parameters (required for all modes)...\n Checking mode-specific parameters for mode 'unconstrained'...\n Checking background model parameters for 'linear'...\n✓ FitParameter validation successful for 1 peak(s) in 'unconstrained' mode with 'linear' background.\n\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>scientaPassEnergy_eV<\/strong>\n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>____________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} {'28-Feb-2022 12:47:15'} 50 \n\n","truncated":false}}
%---
%[output:7f2dd5ee]
% data: {"dataType":"text","outputData":{"text":"Validating FitParameter structure...\n Number of peaks detected: 1\n Checking core parameters (required for all modes)...\n Checking mode-specific parameters for mode 'unconstrained'...\n Checking background model parameters for 'linear'...\n✓ FitParameter validation successful for 1 peak(s) in 'unconstrained' mode with 'linear' background.\n\n","truncated":false}}
%---
%[output:5bd5684a]
% data: {"dataType":"warning","outputData":{"text":"Warning: Data sizes do not match. Converting all data to column vectors."}}
%---
%[output:42116ac3]
% data: {"dataType":"text","outputData":{"text":"\nGlobalSearch stopped because it analyzed all the trial points.\n\n40 out of 41 local solver runs converged with a positive local solver exit flag.\n <strong>name<\/strong> <strong>peakPosition<\/strong> <strong>peakArea<\/strong> <strong>peakFWHM<\/strong> \n <strong>_________________________<\/strong> <strong>______________________________________________<\/strong> <strong>__________________________________________________________________<\/strong> <strong>_________________________________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} 363.34 NaN NaN NaN NaN 2.6879e+05 NaN NaN NaN NaN 2.119 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakBackground<\/strong> \n <strong>_________________________<\/strong> <strong>________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} 201.93 -68421\n\n <strong>name<\/strong> <strong>peakEta<\/strong>\n <strong>_________________________<\/strong> <strong>_______<\/strong>\n\n {'0060060_O1s_900eV.ibw'} NaN \n\n <strong>name<\/strong> <strong>peakShirleyK<\/strong>\n <strong>_________________________<\/strong> <strong>____________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} NaN \n\nFound 1 valid peaks (non-NaN)\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":"\nGlobalSearch stopped because it analyzed all the trial points.\n\nAll 28 local solver runs converged with a positive local solver exit flag.\n <strong>name<\/strong> <strong>peakPosition<\/strong> \n <strong>_________________________<\/strong> <strong>______________________________________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} 363.34 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakArea<\/strong> \n <strong>_________________________<\/strong> <strong>__________________________________________________________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} 2.6879e+05 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakFWHM<\/strong> \n <strong>_________________________<\/strong> <strong>_________________________________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} 2.119 NaN NaN NaN NaN\n\n <strong>name<\/strong> <strong>peakBackground<\/strong> \n <strong>_________________________<\/strong> <strong>________________<\/strong>\n\n {'0060060_O1s_900eV.ibw'} 201.94 -68423\n\nFound 1 valid peaks (non-NaN)\n","truncated":false}}
%---
%[output:0e8d0cec]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>sample<\/strong> \n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>_______________<\/strong>\n\n {'0035035_C1s_900eV.ibw'} {'27-Feb-2022 19:46:48'} {'Ice with N2'}\n {'0056056_C1s_900eV.ibw'} {'28-Feb-2022 12:15:48'} {'Ice with N2'}\n {'0060060_C1s_900eV.ibw'} {'28-Feb-2022 12:47:15'} {'Ice with N2'}\n\n","truncated":false}}
%[output:31491535]
% data: 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truncated
%---
%[output:65618880]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>sampleTemp_dC<\/strong> <strong>cellPressure_mbar<\/strong>\n <strong>_________________________<\/strong> <strong>_____________<\/strong> <strong>_________________<\/strong>\n\n {'0035035_C1s_900eV.ibw'} -22.031 1.4358 \n {'0056056_C1s_900eV.ibw'} -39.039 1.4357 \n {'0060060_C1s_900eV.ibw'} -39.003 1.4216 \n\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>sample<\/strong> \n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>_______________<\/strong>\n\n {'0035035_C1s_900eV.ibw'} {'27-Feb-2022 19:46:48'} {'Ice with N2'}\n {'0056056_C1s_900eV.ibw'} {'28-Feb-2022 12:15:48'} {'Ice with N2'}\n {'0060060_C1s_900eV.ibw'} {'28-Feb-2022 12:47:15'} {'Ice with N2'}\n\n","truncated":false}}
%---
%[output:9c77f960]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>sample<\/strong> \n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>_______________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} {'27-Feb-2022 19:46:48'} {'Ice with N2'}\n {'0056056_O1s_900eV.ibw'} {'28-Feb-2022 12:15:48'} {'Ice with N2'}\n {'0060060_O1s_900eV.ibw'} {'28-Feb-2022 12:47:15'} {'Ice with N2'}\n\n","truncated":false}}
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>sampleTemp_dC<\/strong> <strong>cellPressure_mbar<\/strong>\n <strong>_________________________<\/strong> <strong>_____________<\/strong> <strong>_________________<\/strong>\n\n {'0035035_C1s_900eV.ibw'} -22.031 1.4358 \n {'0056056_C1s_900eV.ibw'} -39.039 1.4357 \n {'0060060_C1s_900eV.ibw'} -39.003 1.4216 \n\n","truncated":false}}
%---
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%---
%[output:506ce9c9]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>lastModifiedDatestr<\/strong> <strong>sample<\/strong> \n <strong>_________________________<\/strong> <strong>________________________<\/strong> <strong>_______________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} {'27-Feb-2022 19:46:48'} {'Ice with N2'}\n {'0056056_O1s_900eV.ibw'} {'28-Feb-2022 12:15:48'} {'Ice with N2'}\n {'0060060_O1s_900eV.ibw'} {'28-Feb-2022 12:47:15'} {'Ice with N2'}\n\n","truncated":false}}
%---
%[output:5432d349]
% data: {"dataType":"text","outputData":{"text":" <strong>name<\/strong> <strong>sampleTemp_dC<\/strong> <strong>cellPressure_mbar<\/strong>\n <strong>_________________________<\/strong> <strong>_____________<\/strong> <strong>_________________<\/strong>\n\n {'0035035_O1s_900eV.ibw'} -22.031 1.4358 \n {'0056056_O1s_900eV.ibw'} -39.039 1.4357 \n {'0060060_O1s_900eV.ibw'} -39.003 1.4216 \n\n","truncated":false}}
%---
%[output:15414432]
% data: 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truncated
%---
%[output:93ebe7fc]
% data: 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truncated
%---
@@ -275,7 +275,7 @@ for ii = 1
& contains(FileList.name,"Cl2p") ...
& (contains(FileList.name,"146") | contains(FileList.name,"148"));
FileList = nappBackground(FileList,647,648,'tableSelection',tmpDataSelection,'energyScale','kinetic',...
'mode','mean','showFigures','off');
'mode','mean','showFigures','on');
%% Plot again
nappPlot(FileList,tmpDataSelection,'tableVariable','spectrum_countsPerSecond','mode','AllInOne');
+22
View File
@@ -0,0 +1,22 @@
%% Start fresh
close all
clearvars
clc
%% Import Data
FileList = nappFileList('2026/testImport','mode','local','importLabView','off');
%% Display Data
disp(FileList(:,{'name','creationDate','lastModifiedDatestr','image','originalFileName'}))
%% Plot images
nappPlot(FileList);
%% Plot iterations
close all
nappPlot(FileList,'tableVariable','image','mode','iterations');
%% Generate spectra and plot
close all
FileList = nappGenerateSpectra(FileList);
nappPlot(FileList,'tableVariable','spectrum_countsPerSecond','mode','OneEach');
%% Generate spectra, remove background and plot
close all
FileList = nappGenerateSpectra(FileList);
nappPlot(FileList,'tableVariable','spectrum_countsPerSecond','mode','OneEach');