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Counting-loss correction for X-ray spectra using the pulse-repairing method.

Lin Tang1, Jianbin Zhou2, Fang Fang2

  • 1School of Information Science and Engineering, Chengdu University, No.1 Shiling Street, Longquanyi District, Chengdu 610106, People's Republic of China.

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|November 9, 2018
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Summary

This study introduces an improved pulse repairing method to address counting losses in silicon drift detectors. The new technique enhances X-ray spectrum precision by correcting distorted pulses, improving peak area.

Keywords:
X-ray spectrumcounting-loss correctionfast SDDpeak areapulse repairing

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Area of Science:

  • Nuclear Instruments and Methods
  • Materials Science
  • Spectroscopy

Background:

  • High-performance silicon drift detectors (SDDs) face pulse distortion issues under high-counting-rate conditions due to frequent resetting.
  • Existing methods to obtain precise X-ray spectra often eliminate distorted pulses, leading to significant counting loss.

Purpose of the Study:

  • To propose and evaluate an improved pulse repairing method for silicon drift detectors.
  • To mitigate counting losses associated with pulse elimination techniques.
  • To enhance the accuracy and precision of X-ray energy spectra.

Main Methods:

  • Developed an improved pulse repairing method to correct distorted pulses in SDDs.
  • Utilized a 10 mCi 238Pu source for experimental measurements.
  • Compared energy spectra obtained via pulse repairing with those from pulse elimination.

Main Results:

  • The pulse repairing method effectively corrects counting losses incurred by pulse elimination.
  • The improved method leads to an increased peak area in the energy spectrum.
  • Experimental results demonstrate the significance of pulse repairing for precise X-ray spectral analysis.

Conclusions:

  • The proposed pulse repairing method offers a viable solution to counting losses in high-rate SDD applications.
  • This technique is crucial for obtaining accurate X-ray energy spectra, especially in demanding measurement scenarios.
  • The method significantly improves spectral quality by preserving valid signal counts.