Peak tailing cancellation techniques for digital CR-(RC)ⁿ filter

Area of Science:

• Spectroscopy
• Digital Signal Processing
• Detector Electronics

Background:

• Semi-Gaussian pulse shaping is crucial in analog spectroscopy, often employing CR-(RC)n filters.
• Existing digital implementations face challenges with pulse undershoot and long tails, impacting spectral resolution.
• Accurate signal reconstruction is vital for analyzing digitized detector outputs.

Purpose of the Study:

• To introduce a novel digital CR-(RC)n filter for improved Semi-Gaussian pulse shaping.
• To develop a spectroscopic signal reconstruction technique to mitigate pulse tailing artifacts.
• To enhance the performance of FAST-SDD detector systems in X-ray fluorescence (XRF) analysis.

Main Methods:

• Development of a digital CR-(RC)n filter based on recursive models of CR and RC filters.
• Application of a spectroscopic signal reconstruction technique to digitized exponential decay signals.
• Implementation of digital pole-zero cancellation following the digital CR-(RC)n filter.

Main Results:

• The proposed technique effectively eliminates undershoot in Semi-Gaussian pulses, reducing low-energy peak tailing.
• Digital pole-zero cancellation significantly reduces high-energy peak tailing caused by long pulse tails.
• Experimental XRF data from a manganese sample demonstrate improved FWTM/FWHM ratios and throughput.

Conclusions:

• The novel digital filter and reconstruction technique successfully address peak tailing issues in Semi-Gaussian pulses.
• These advancements lead to improved spectral resolution and higher data processing capabilities in spectroscopy.
• The methods are validated for practical applications, including XRF analysis with FAST-SDD detectors.