Fluorescence Spectra Analysis in Diamond MX Village. PyMca User Guide

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Fluorescence Spectra Analysis in Diamond MX Village PyMca User Guide

Using PyMca in Diamond MX Village Introduction PyMca is an X-ray Fluorescence Toolkit developed by the Software Group of the European Synchrotron Radiation Facility (ESRF) 1. PyMca provides a powerful collection of tools for the analysis of fluorescence spectra collected using synchrotron radiation. Within the MX Village at Diamond we anticipate the main use PyMca to identify the presence of atoms useful for phasing within soaked crystals. Rather than doing a specific edge scan taking around minutes to complete and only allowing you to check for one component at a time, it may be better to take an mca spectrum at a high energy (eg. 16000eV) which will enable you to search for the presence of a number of components with a 1s exposure. The PyMca program is open source software with a number of options for use. This manual will guide you through the use of PyMca as it is installed in the MX Village at Diamond to identify any peaks in the mca specta you collect. The fluorescence detectors in the MX village at Diamond can typically see fluorescence peaks (secondary X-rays) from between 1000eV and 15 000eV. The incident beam energy can be changed between 5000eV and 20 000eV. Please see the tables at the back of this manual or the orange X-ray Data Booklet to determine whether your sample fluorescence can be excited and/or detected. 1 V.A. Solé, E. Papillon, M. Cotte, Ph. Walter, J. Susini, A multiplatform code for the analysis of energydispersive X-ray fluorescence spectra, Spectrochim. Acta Part B 62 (2007) 63-68. March 2013 Page 2

Collecting an MCA Spectrum Before PyMca is of any use you need to collect an MCA spectrum. This is done in GDA from the fluorescence perspective, highlighted with a blue box below. Simply go to the Fluorescence Spectrum Setup (in the red box in the figure) and click Run. With optimise attenuation selected you should obtain a scan with peaks in the spectrum for the elements present in the sample. If you are unable to see the peaks you expect, or if they appear with very low counts, you could deselect optimise attenuation and instead change the transmission to 20% and collect data for 1s. This will expose your crystal to more radiation. This spectrum can be collected at any energy, but you do need to consider how fluorescence works. Elements will only fluoresce if the incident beam energy is higher than the excitation energy of the element. A peak will also be observed due to the inelastic scatter of the incident beam. Consequently, you are best collecting a spectrum from a high energy (say 20 000eV) which will give an inelastic scatter peak well away from the elements you might be interested in, and will excite a large range of fluorescent elements. Collecting your MCA spectrum at 12 658eV (the standard beamline energy) will give an inelastic scatter peak that can easily be confused with selenium or bromide fluorescence, giving an ambiguous result (see example on page 10). March 2013 Page 3

Opening PyMca There is a launcher for PyMca in the DLS-Launchers folder on your Desktop. This will launch PyMca in a directory where you can save results and will put a typical configuration file in your processing directory. To launch PyMca double click on this icon. This will open the main PyMca window. Open your MCA spectrum: File Open Data Source Select file location Your MCA file will be saved in the top directory for your visit with a name in the format: /dls/i0x/data/2012/mxxxxx-x/20121009_08_51_35.mca where the filename is the date and time of the data collection. Click Open and the spectrum will appear in the plot window. March 2013 Page 4

Callibrate your MCA Plot Below the plot window there is a drop down menu of calibration options. Each beamline produces calibrated MCA spectra so the internal calibration will be correct. Select calibration from source The plot window will now have an x-axis reading of Energy rather than channel as it had been previously. March 2013 Page 5

Fit your MCA Spectrum This is the process by which PyMca is able to offer suggestions as to the composition of the fluorescence in your sample. 1. Press the FIT button above the plot window and select Advanced to open the MCA Advanced Fit Window. 2. The fit window will open with an error No peaks defined. Click OK on the message box. March 2013 Page 6

3. Click on configure to load a configuration file. Select load and then navigate to your visit processing directory where you will find a file called Pymca.cfg which you should load. If this file is not available, try reloading PyMca using the icon in the DLS-Launcher. If this is unsuccessful please speak with your local contact. The prepared configuration file will search for suitable edges of: a. Sodium, Magnesium, Phosphorous, Sulphur, Chlorine, Potassium, Calcium, Manganese, Iron, Cobalt, Nickel, Copper, Zinc, Arsenic, Selenium, Bromine, Molybdenum, Silver, Cadmium, Iodine, Tungsten, Platinum, Mercury b. It will search assuming an incident wavelength of 20 000 ev After loading the configuration file you can navigate the tabs to alter the incident energy to that which is correct for your sample and to add or remove elements you are searching for. When you are ready, click on OK. March 2013 Page 7

4. Click on Fit Again! to get a fit to your spectrum 5. Click on Tools and select Identify peaks March 2013 Page 8

6. Left click on the peaks you have and decide which element is present from the Peak Identifier window 7. Choose the element that makes sense from the peaks. 8. An alternative method to identify your peaks is to click on the Peaks Spectrum tab beneath the plot. This will graphically illustrate the peaks that have been fitted with a table legend to explain which curve is for which element. 9. Finally, if you click on HTML Report and select a location that this can be saved in, you will have a report of the goodness-of-fit for each element. Those that are likely to be in your sample will have a high chi-squared value and a high fitted area value. March 2013 Page 9

Example MCA Spectrum Below is an MCA spectrum collected on I02 at Diamond. The incident X-ray beam was at 12400eV. The sample was a loop containing nickel sulphate. The image is that of the data with the fit shown as a red curve. March 2013 Page 10

Excitation Energies for Common Elements To excite fluorescence from an element it is recommended that the incident X-ray beam have energy of 1000eV higher than the excitation energy 2 in the table below 3. To see peaks from a number of elements ensure they incident beam has a higher energy than the highest component in the mixture. The table is in order of atomic number, which approximately correlates to excitation energy. Element Excitation Edge Energy (ev) Na Sodium K 1072.1 P Phosphorous K 2145.5 S Sulphur K 2472.0 Cl Chlorine K 2822.4 K Potassium K 3607.4 Ca Calcium K 4038.1 Ti Titanium K 4966.4 V Vanadium K 5465.1 Mn Manganese K 6539.0 Fe Iron K 7112.0 Co Cobalt K 7708.9 Ni Nickel K 8332.8 Cu Copper K 8978.9 Zn Zinc K 9658.6 As Arsenic K 11866.7 Se Selenium K 12657.8 Br Bromine K 13473.0 Mo Molybdenum L1 2865.5 Ag Silver L1 3805.8 Cd Cadmium L1 4018.0 I Iodine L1 5188.1 La Lanthanum L1 6266.3 Sm Samarium L1 7736.8 Eu Europium L1 8052.0 Gd Gadolinium L1 8375.6 Dy Dysprosium L1 9045.8 Ho Holmiun L1 9394.2 Yb Ytterbium L1 10486.4 Lu Lutetium L1 10870.4 W Tungsten L1 12099.8 Re Rhenium L1 12526.7 Os Osmium L1 12968.0 Ir Iridium L1 13418.5 Pt Platinum L1 13880.5 Au Gold L1 14352.8 Hg Mercury L1 14839.3 Pb Lead L1 15860.8 2 Where a number of electrons can be excited, only the highest accessible energy is given. 3 Data taken from the PyMCA element analysis details March 2013 Page 11

Excitation Energies for Common Elements The table below gives the main emission energies for a number of commonly used elements. Where a number of emission peaks exist the highest peaks have been given, along with the percentage height of the peak 4. The table is in order of atomic number, which approximately correlates to emission energy. Element Emission Kα2 Emission Kα1 Emission Kβ3 Emission Lα1 Emission Lβ1 Emission Lβ2 Energy (ev) Percent Energy (ev) Percent Energy (ev) Percent Energy (ev) Percent Energy (ev) Percent Energy (ev) Percent Na Sodium 1041.0 150 P Phosphorous 2012.7 50 2013.7 100 S Sulphur 2306.6 50 2307.8 100 Cl Chlorine 2620.8 50 2622.4 100 K Potassium 3311.1 50 3313.8 100 Ca Calcium 3688.1 50 3691.7 100 Ti Titanium 4504.9 50 4510.8 100 V Vanadium 4944.6 50 4952.2 100 Mn Manganese 5887.6 50 5898.8 100 Fe Iron 6390.8 50 6403.8 100 7058.0 17 Co Cobalt 6915.3 51 6930.3 100 7649.4 17 Ni Nickel 7460.9 51 7478.2 100 8264.7 17 Cu Copper 8027.8 51 8047.8 100 8905.3 17 Zn Zinc 8615.8 51 8638.9 100 9572.0 17 As Arsenic 10508.0 51 10543.7 100 11726.2 13 Se Selenium 11181.0 52 11222.0 100 12495.9 13 Br Bromine 11877.6 52 11924.2 100 13291.4 14 Mo Molybdenum 17374.3 52 17479.3 100 19608.3 15 2293.2 100 Ag Silver 2984.3 100 3150.9 56 Cd Cadmium 3733.7 100 3316.6 58 I Iodine 3937.6 100 4220.7 61 La Lanthanum 4651.0 100 5042.1 60 5383.5 21 Sm Samarium 5636.1 100 6205.1 61 6587.0 21 Eu Europium 5845.7 100 6456.5 62 6843.2 21 Gd Gadolinium 6057.2 100 6713.2 62 7102.6 21 Dy Dysprosium 6495.2 100 7247.7 62 7635.7 20 Ho Holmiun 6719.8 100 7525.3 64 7911.0 20 Yb Ytterbium 7415.6 100 8401.8 65 8758.8 20 Lu Lutetium 7655.5 100 8709.0 66 9048.9 19 W Tungsten 8397.6 100 9672.4 67 9961.5 21 Re Rhenium 8652.5 100 10010.0 66 10275.2 22 Os Osmium 8911.7 100 10355.3 67 10598.5 22 Ir Iridium 9175.1 100 10708.3 66 10920.3 22 Pt Platinum 9442.3 100 11070.7 67 11250.5 25 Au Gold 9713.3 100 11442.3 67 11584.7 23 Hg Mercury 9988.8 100 11822.6 67 11924.2 24 Pb Lead 10551.5 100 12613.7 66 12622.6 25 4 Data taken from the orange X-ray Data Booklet published in 2009 by Lightsorces.org from the Lawrence Berkely National Laboratory March 2013 Page 12