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Data Analysis and Filter Optimization for Pulse-Amplitude Measurement: A Case Study on High-Resolution X-ray
Kasun Sameera Mannatunga1,2,3, Bruno Valinoti1,4,5, Werner Florian Samayoa1,5
1International Centre for Theoretical Physics, 34151 Trieste, Italy.
Sensors (Basel, Switzerland)
|July 9, 2022
Summary
This study optimized digital filters for pulse measurements using an adapted penalized least mean square method. This significantly improved energy resolution in X-ray spectroscopy by approximately 20%.
Area of Science:
- Physics
- Signal Processing
- Spectroscopy
Background:
- Accurate digital pulse-amplitude measurement is crucial for high-resolution spectroscopy.
- Existing methods for analyzing single-photon detection data have limitations in energy resolution.
- Optimization of digital filters can enhance the precision of energy measurements.
Purpose of the Study:
- To develop and present an optimized procedure for finite impulse response (FIR) filter coefficient design.
- To apply an adapted digital penalized least mean square (DPLMS) method for filter optimization.
- To demonstrate the effectiveness of the optimized filter in improving energy resolution for X-ray spectroscopy.
Main Methods:
- Design of optimized finite impulse response (FIR) filter coefficients using an adapted digital penalized least mean square (DPLMS) algorithm.
- Application of the developed filter to a dataset from high-resolution X-ray spectroscopy.
- Utilizing single-photon detection and energy measurements for analysis.
- Comparison of energy resolution with and without the optimized filter.
Main Results:
- The adapted DPLMS method successfully optimized FIR filter coefficients for digital pulse-amplitude measurement.
- The optimized filter demonstrated significant improvements in energy resolution for X-ray spectroscopy.
- Energy resolutions for Manganese Kα and Kβ lines were improved by approximately 20% compared to reference values.
- The procedure proved effective in enhancing measurement precision for single-photon detection data.
Conclusions:
- The presented procedure offers an effective method for optimizing digital filters in pulse-amplitude measurement.
- The adapted DPLMS approach enhances energy resolution in high-resolution X-ray spectroscopy.
- This work provides a valuable tool for improving the accuracy of spectroscopic measurements based on single-photon detection.
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