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Updated: Aug 14, 2025

Elemental-sensitive Detection of the Chemistry in Batteries through Soft X-ray Absorption Spectroscopy and Resonant Inelastic X-ray Scattering
Published on: April 17, 2018
Simulating electron-excited energy dispersive X-ray spectra with the NIST DTSA-II open-source software platform
Dale E Newbury1, Nicholas W M Ritchie1
1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
NIST DTSA-II software simulates X-ray spectra for microanalysis. Its Monte Carlo simulations accurately predict characteristic and continuum X-ray intensities, aiding analytical strategy development.
Area of Science:
- Materials Science
- Analytical Chemistry
- Physics
Background:
- Electron-excited X-ray microanalysis is crucial for elemental composition determination.
- Energy Dispersive Spectrometry (EDS) is a common technique, but accurate spectral simulation is challenging.
- NIST DTSA-II provides a comprehensive platform for EDS analysis.
Purpose of the Study:
- To evaluate the accuracy of NIST DTSA-II's EDS spectral simulations.
- To assess the software's utility in developing analytical strategies for microanalysis.
Main Methods:
- Utilized Monte Carlo electron trajectory simulation for X-ray generation and transport.
- Included physical processes: characteristic and continuum X-ray generation, self-absorption, EDS window absorption, and energy-to-charge conversion.
- Simulated spectra on an absolute basis using electron dose and spectrometer parameters.
Main Results:
- Simulated K-shell and L-shell characteristic X-ray peaks (1-11 keV) showed good agreement (± 25%) with measured spectra.
- M-shell intensity predictions exceeded measured values by 1.4-2.2 (1-3 keV).
- X-ray continuum (bremsstrahlung) intensity agreed within ± 10% (1-10 keV) for elements B to Bi.
Conclusions:
- NIST DTSA-II offers reliable spectral simulations for K and L shells and continuum radiation.
- The software is a valuable tool for optimizing EDS analytical strategies and assessing trace element detection.
- Further refinement may be needed for accurate M-shell intensity predictions.
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