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Quantifying X-Ray Fluorescence Data Using MAPS
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Quantifying X-Ray Fluorescence Data Using MAPS.

Tara Nietzold1, Bradley M West2, Michael Stuckelberger2

  • 1School for Engineering of Matter, Transport, and Energy, Arizona State University.

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|March 20, 2018
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Summary
This summary is machine-generated.

This study details using MAPS software for quantifying X-ray fluorescence (XRF) microscopy maps. Accurate elemental quantification is essential for understanding material composition at the nanoscale.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Physics

Background:

  • Synchrotron-based X-ray fluorescence (XRF) microscopy is a powerful, non-destructive technique for elemental analysis.
  • High spatial resolution XRF enables nanoscale compositional analysis, crucial for understanding material properties.
  • Accurate quantification of XRF data is vital for interpreting elemental distribution and relationships.

Purpose of the Study:

  • To provide a guide for quantifying 2-D XRF maps using the MAPS fitting software.
  • To demonstrate the application of MAPS software with an example from a Cu(In,Ga)Se2 solar cell.
  • To discuss software limitations and suggest data correction methods for improved accuracy.

Main Methods:

  • Utilizing MAPS software for fitting raw XRF spectra to known standards.
  • Applying the software to quantify full 2-D XRF maps obtained from synchrotron radiation.
  • Evaluating the quality of spectral fits and analyzing program outputs.

Main Results:

  • Demonstration of a standard procedure for fitting XRF data using MAPS.
  • Presentation of typical outputs from the MAPS quantification process.
  • Identification of potential software limitations affecting data accuracy.

Conclusions:

  • MAPS software facilitates the quantification of XRF microscopy maps for detailed elemental analysis.
  • Proper data quantification allows for in-depth understanding of elemental segregation and stoichiometry.
  • Further data correction may be necessary for precise, spatially resolved elemental concentration determination.