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Published on: January 30, 2020
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Frequency spectrum analysis for spectrum stabilization in airborne gamma-ray spectrometer
Guoqiang Zeng1, Chengjun Tan1, Liangquan Ge1
1Chengdu University of Technology, Sichuan 610059, China.
Summary
This study introduces an automated method for stabilizing airborne gamma-ray spectrometer readings. The new frequency spectrum analysis technique eliminates manual adjustments, improving efficiency for spectral drift correction.
Area of Science:
- Geophysics
- Spectroscopy
- Instrumentation
Background:
- Airborne gamma-ray spectrometers experience spectral drifts upon power-on.
- Manual correction of these drifts is inefficient and time-consuming.
Purpose of the Study:
- To develop a rapid, automated method for multi-crystal spectrum stabilization.
- To replace traditional manual adjustments with an efficient, intervention-free process.
Main Methods:
- A frequency spectrum analysis method is applied to natural gamma-ray background spectra.
- Polynomial fitting of high harmonics in the frequency spectrum is used to calculate spectral drift.
- Spectrometer gain is adjusted based on the calculated drift for automatic stabilization.
Main Results:
- The method achieves quick spectrum stabilization during the spectrometer's power-on stage.
- It requires no manual intervention and operates without time-domain pre-processing.
- Calculated spectral drift values show an absolute error < 5 channels and relative error < 0.80%.
Conclusions:
- The proposed frequency spectrum analysis method effectively stabilizes airborne gamma-ray spectrometers automatically.
- This automated approach significantly enhances efficiency and accuracy compared to manual methods.
- The technique meets the requirements for rapid, automated spectrum stabilization in airborne surveys.
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