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Published on: May 10, 2021
Dead-time Correction for High-count-rate WDS Analysis in Electron Probe Microanalysis
Daoling Wang1, Jiaqi Lu2, Aiqin Sun1
1Testing Center, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China.
Summary
Accurate dead-time correction is crucial for high-count-rate electron probe WDS analysis. A new algorithm shows a dual-parameter model offers superior correction, with optimal models varying by characteristic radiation line.
Area of Science:
- Materials Science
- Analytical Chemistry
- Physics
Background:
- High-count-rate electron probe Wavelength Dispersive Spectrometry (WDS) analysis requires precise dead-time correction.
- Existing dead-time correction models may not fully capture complex detector behaviors.
Purpose of the Study:
- To develop and validate an algorithm for simultaneous calibration of dead-time parameters and evaluation of correction models.
- To compare the performance of single-parameter and dual-parameter dead-time correction models.
Main Methods:
- An algorithm integrating the constant Kβ/Kα ratio method with least-squares optimization was developed.
- Single-parameter models (between ideal extendable and non-extendable) and a physics-informed dual-parameter model were evaluated.
- The dual-parameter model accounts for proportional counter component interaction and dead-time cascading.
Main Results:
- The proposed algorithm enables simultaneous calibration and model comparison.
- Experimental results confirm the dual-parameter model consistently provides superior dead-time correction.
- Optimal correction model selection is dependent on the specific characteristic radiation line analyzed.
Conclusions:
- The dual-parameter model represents a significant improvement for high-count-rate WDS dead-time correction.
- The algorithm provides a robust framework for calibrating and selecting appropriate dead-time correction models.
- Detector performance optimization in WDS requires consideration of specific elemental analysis conditions.
Keywords:
E-NE series modelEPMA-WDSconstant Kβ/Kα ratiodead-time correctionleast-squares optimization
