Counting-loss correction method based on window pulse shaping.

Area of Science:

• Nuclear Instruments and Methods
• Spectroscopy
• Radiation Detection

Background:

• Accurate X-ray counting rates are crucial for quantitative analysis in X-ray fluorescence (XRF) spectroscopy.
• Traditional methods can suffer from dead time effects, leading to inaccuracies, especially at high counting rates.

Purpose of the Study:

• To develop and validate a novel window shaping algorithm for precise X-ray counting rate determination.
• To improve the accuracy of corrected counting rates by suppressing dead time variations.

Main Methods:

• A window shaping algorithm was designed to transform original detector pulses into stable window pulses.
• The paralyzable dead-time model was employed to estimate dead time and corrected counting rates.
• Experimental measurements were conducted using an X-ray tube at a specific current (3.9 µA).

Main Results:

• The proposed algorithm effectively shapes pulses, resulting in a mean dead time of 260 ns with a 3.44% relative mean deviation.
• For incoming counting rates between 100 kcps and 2 Mcps, the corrected counting rate exhibited a relative error of less than 1.78% compared to the incoming rate.
• The algorithm demonstrated a significant suppression of dead time swing.

Conclusions:

• The developed window shaping algorithm enhances the accuracy of X-ray counting rates in XRF systems.
• This method offers improved precision for spectral analysis, particularly under high counting rate conditions.
• The algorithm contributes to more reliable quantitative measurements in radiation detection applications.