Pile-up correction algorithm for high count rate gamma ray spectroscopy

Hammad, M. E.; Kasban, H.; Fikry, R. M.; Dessoky, Moawad I.; Zahran, O.; Elaraby, S. M.; El‐Samie, Fathi E. Abd

doi:10.1016/j.apradiso.2019.06.003

Cited by 14 publications

(12 citation statements)

References 9 publications

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“…In this algorithm, the acquired samples are pre-filtered by a very narrow window (0.5 μs and 0.6 μs for 10 MS/s and 5 MS/s sampling rates respectively) moving average filter. The pre-filtering is required to eliminate the large frequency noises [4] without distorting the rising edge of the pre-amplifier pulses. The pre-filter output is then delivered to the event detector block, and the main filter block.…”

Section: Jinst 17 P09036mentioning

confidence: 99%

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Experimental investigation of the ADC sampling rate effect on the digital gamma spectrometry

Shaker¹,

Kasban²,

Saleh³

et al. 2022

J. Inst.

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Gamma spectrometer is not available in many laboratories because it is very expensive. Analog to digital converter ADC is the basic component of digital gamma spectrometers. The sampling rate of the ADC plays an important role in determining the performance and the cost of the gamma spectrometers. This paper investigates experimentally the ADC's sampling rate effect on the performance of the gamma spectroscopy. The conducted experiment started by sampling a real pre-amplifier output. Then, the acquired samples have been processed at different sampling rates to build the dedicated gamma spectrums. During the processing of the sampled signals, three different digital filters have been tested to distinguish their effect on the energy resolution when the sampling rate is reduced. The results of this experimental investigation will help later in proposing new low-cost and efficient gamma spectrometer prototypes.

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Section: Jinst 17 P09036mentioning

confidence: 99%

“…The ADC digitizes this pulse and delivers it to the DPP unit to extract the pulse height and update the gamma spectrum. This spectrum is then viewed on a standalone display or a personal computer screen [2][3][4]. Gamma spectrometers are very expensive (more than 10 k$ [5]), so they are not easily available in research laboratories.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of the ADC sampling rate effect on the digital gamma spectrometry

Shaker¹,

Kasban²,

Saleh³

et al. 2022

J. Inst.

Self Cite

View full text Add to dashboard Cite

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“…Common digital shaping methods include triangle shaping [4,5], digital trapezoid shaping [6], cusp-like shaping [7], CR-RCm digital filtering shaping [8], and unit pulse shaping [9,10]. Different shaping methods have different application background and can achieve different application effects, such as pileup pulse correction [11][12][13][14], baseline restoration [15][16][17], and counting saturation correction [18,19].…”

Section: Introductionmentioning

confidence: 99%

Application of an Improved Seeds Local Averaging Algorithm in X-ray Spectrum

Tang

Zhang

Shi

et al. 2021

Mathematical Problems in Engineering

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As an element content analysis technology, X-ray fluorescence spectrometry can be used for quantitative or semiquantitative analysis of the element content in the sample, which is of great significance for mineral census and spent fuel reprocessing. Due to the limitation of the inherent energy resolution of the detector itself, the accuracy of X-ray fluorescence analysis is difficult to be greatly improved. In some applications, even if the semiconductor detector with the best energy resolution is used, the characteristic peaks of different elements cannot be completely separated. Therefore, greatly improving the energy resolution of the detection system is a hot issue in the existing research field. To solve these problems, this paper analyzes the advantages and disadvantages of the traditional MCA (multichannel analyzer) and SLA (seeds local averaging) algorithm and proposes an ISLA (improved seeds local averaging) algorithm based on mathematical statistics. In the section of theoretical derivation, the principle of ISLA algorithm is described, whose theoretical characteristics and spectral results with different parameters are derived and simulated. In the application effect evaluation, the spectrum obtained by each method is analyzed in detail. Simulation and experimental results show that the spectrum obtained by SLA algorithm has a smaller full width at half maximum than that obtained by MCA, but the seed average process in SLA algorithm also reduces its counting rate. The optimized ISLA algorithm can not only effectively reduce the full width at half maximum of the spectral line and sharpen the spectrum peak but also compensate for the loss of the count rate of SLA algorithm.

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“…It influences device consistency in calculating DOIs and LORs, which lowers the scanner's sensitivity and resolution [11,12,16]. BLRs, pile-up correctors, and high-precision timestamp calculators are being used to resolve these deficits [11,[16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…BLRs are utilized in this framework. Various BLRs have been suggested, ranging from analog approaches to adaptive solutions based on digital filters [11,12,[16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Hybrid Interpolation and Baseline Restoration of the Brain-PET Pulses

Qaisar¹

2020

Integrated Circuits/Microchips

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The design and component level architectures of a novel offset compensated digital baseline restorer (BLR) and an original hybrid interpolator are described. It allows diminishing the effect of modifications occurring during the readout of Positron Emission Tomography (PET) pulses. Without treatment, such artifacts can result in a reduction in the scanner's performance, such as its sensitivity and resolution. The BLR recompenses the offset of PET pulses. Afterward, the pertinent parts of these pulses are located. Onward, the located portion of the signal is resampled by using a hybrid interpolator. This is constructed by cascading an optimized weighted least-square interpolator (WLSI) and a Simplified Linear Interpolator (SLI). The regulation processes for the WLSI coefficients and evaluation of the BLR and the interpolator modules are presented. The proposed hybrid interpolator's computational complexity is compared with classic counterparts. These modules are implemented in Very High-Speed Integrated Circuits Hardware Description Language (VHDL) and synthesized on a Field Programmable Gate Array (FPGA). The functionality of the system is validated with an experimental setup. Results reveal notable computational gain along with adequate dynamic restitution of the bipolar offsets besides a useful and accurate improvement of the temporal resolution relative to the computationally complex conventional equivalents.

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Pile-up correction algorithm for high count rate gamma ray spectroscopy

Cited by 14 publications

References 9 publications

Experimental investigation of the ADC sampling rate effect on the digital gamma spectrometry

Experimental investigation of the ADC sampling rate effect on the digital gamma spectrometry

Application of an Improved Seeds Local Averaging Algorithm in X-ray Spectrum

Computationally Efficient Hybrid Interpolation and Baseline Restoration of the Brain-PET Pulses

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