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Software based digital signal processing and spectrum deconvolution in X-ray spectroscopy.

D C Meyer1, S Eichler, K Richter

  • 1TU Dresden, Institut für Kristallographie und Festkörperphysik, Germany. meyer@physik.phy.tu-dresden.de

Journal of Synchrotron Radiation
|August 22, 2001
PubMed
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This study introduces advanced digital signal processing and numerical deconvolution techniques for measured signals. These methods enhance data accuracy and throughput by decomposing signals into single photon events, improving energy resolution and enabling new detector capabilities.

Area of Science:

  • Physics
  • Signal Processing
  • Instrumentation

Background:

  • Current digital signal processing systems face limitations in handling high data rates and resolving complex signals.
  • Accurate deconvolution of measured signals is crucial for extracting meaningful information from detector outputs.

Purpose of the Study:

  • To present novel software-based digital signal processing and numerical deconvolution approaches.
  • To overcome limitations of existing state-of-the-art systems for signal analysis.

Main Methods:

  • Utilizing an energy-resolving detector, preamplifier, and fast sampling analog-to-digital converter (ADC).
  • Employing numerical decomposition of measured signals into contributions from single photon absorption events.
  • Applying numerical deconvolution of measured energy spectra into combinations of standard spectra.

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Main Results:

  • Achieving high pulse rates limited only by sampling time, enabling 100% throughput at 10^8 samples per second.
  • Drastically improving energy resolution for individual events through statistical spectral treatment.
  • Enabling energy resolution for detectors with poor signal-to-noise ratios.

Conclusions:

  • The proposed digital signal processing and deconvolution methods offer significant advancements over existing techniques.
  • These approaches enhance detector performance, enabling higher data throughput and improved energy resolution.
  • The techniques open new possibilities for energy-resolving measurements with previously unsuitable detectors.