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Data Analysis and Filter Optimization for Pulse-Amplitude Measurement: A Case Study on High-Resolution X-ray

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  • 1International Centre for Theoretical Physics, 34151 Trieste, Italy.

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Summary
This summary is machine-generated.

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%.

Keywords:
FIR designX-ray spectroscopydigital pulse processor (DPP)digital signal processing (DSP)pulse-height analysissilicon drift detectors

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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.