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

Sensors (Basel). 2022 Jun 24;22(13):4776. doi: 10.3390/s22134776.

Abstract

In this study, we present a procedure to optimize a set of finite impulse response filter (FIR) coefficients for digital pulse-amplitude measurement. Such an optimized filter is designed using an adapted digital penalized least mean square (DPLMS) method. The effectiveness of the procedure is demonstrated using a dataset from a case study on high-resolution X-ray spectroscopy based on single-photon detection and energy measurements. The energy resolutions of the Kα and Kβ lines of the Manganese energy spectrum have been improved by approximately 20%, compared to the reference values obtained by fitting individual photon pulses with the corresponding mathematical model.

Keywords: FIR design; X-ray spectroscopy; digital pulse processor (DPP); digital signal processing (DSP); pulse-height analysis; silicon drift detectors.

MeSH terms

  • Data Analysis*
  • Models, Theoretical
  • Signal Processing, Computer-Assisted*
  • Spectrum Analysis
  • X-Rays

Grants and funding

This research received no external funding.