Discrete Convolution-Based Energy Spectrum Configuring Method for the Analysis of the Intrinsic Radiation of 176Lu

Ko, Kuk Won; Choi, Hyun-Woong; Yi, Yongsun; Kim, Wonku; Kim, Junhyeok; Hwang, Jisung; Ko, Eunbie; Cho, Gyuseong

doi:10.3390/s21217040

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…The SCB measure is calculated using Equations ( 15) and (16). Equation (15) defines the instantaneous energy distribution resulting from the interaction between all the frequency components in the voltage and the fundamental frequency component of the current (I m cos(𝜔 0 t )). Equation ( 16) defines the ideal instantaneous power resulting from the interaction between the pure sinusoidal voltage and current.…”

Section: Sinusoidal Convolution-based Measurementioning

confidence: 99%

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Refined convolution‐based measures for real‐time harmonic distortions estimation in power system dominated by inverter‐based resources

Kandezy,

Safarishaal,

Hemmati

et al. 2023

IET Power Electronics

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Real‐time estimating harmonic distortion levels near the Point of Interconnections of grid‐connected inverter‐based resources (IBRs) is critical for maintaining the operational reliability and security of the power grid, particularly during transients when IBRs generate excessive harmonics. Traditional methods like Total Harmonic Distortion (THD) are unsuitable for time‐varying waveforms as they suffer from aliasing, spectral leakage, and picket‐fence effects. This paper proposes a novel approach that utilizes convolution‐based measures for estimating harmonic distortion, which offers a more suitable way for ongoing real‐time applications. The first measure uses a 60 Hz sinusoidal function as the convolution kernel, while an enhanced measure employs the Gaussian function as the kernel. Two convolution‐based measures are proposed and compared with THD. The comparison criteria are based on the two significant features describing the variation of harmonics: min/max values and variation curvature of harmonics showing the accurate performance of proposed measures. Moreover, short‐term estimations of harmonic distortion are used to validate the effectiveness of the proposed measures, while long‐term estimations are used to determine the ability of the proposed measures to determine harmonic distortion contributions among power network components. The proposed technique's intrinsic characteristics provide a sampling window with low sensitivity to deviations in the fundamental frequency and signal's stationary condition to prevent aliasing and spectral leakage and rule out the impact of the picket‐fence effect on the harmonic distortion level estimation.

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Section: Sinusoidal Convolution-based Measurementioning

confidence: 99%

“…Recently, convolution applications have gained increasing interest as practical algorithms for measuring limited data and identifying the energy spectrum (e.g., [15]). This technique is practical in experimental physics and microscopic electronics systems, employing an implicit process instead of complete spectrum analysis.…”

Section: Introductionmentioning

confidence: 99%

Refined convolution‐based measures for real‐time harmonic distortions estimation in power system dominated by inverter‐based resources

Kandezy,

Safarishaal,

Hemmati

et al. 2023

IET Power Electronics

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“…The decay spectrum of the 176 Lu isotope within LYSO crystals has been successfully modeled using both Monte Carlo (MC) simulations, Gate-Geant4, (McIntosh et al 2011), and discrete analytical methods, (Ko et al 2021). These models exhibit a high level of agreement with measured spectra and serve as reliable tools for studying LYSO background (BG) radiation properties.…”

Section: Introductionmentioning

confidence: 99%

Determination of lutetium density in LYSO crystals: methodology and PET detector applications

Thien,

Nemallapudi

2024

Phys. Med. Biol.

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Objective: Lutetium yttrium oxyorthosilicate (LYSO) scintillation crystals are used in positron emission tomography (PET) due to their high gamma attenuation, fair energy resolution, and fast scintillation decay time. The enduring presence of the 176Lu isotope, characterized by a half-life of 37.9 billion years, imparts a consistent radiation background (BG) profile that depends on the geometry and composition attributes of the LYSO crystals.Approach: In this work, we proposed a methodology for estimating the composition of LYSO crystals in cases where the exact Lutetium composition remains unknown. The connection between BG spectrum intensity and intrinsic radioactivity enables precise estimation of Lutetium density in LYSO crystal samples. This methodology was initially applied to a well-characterized LYSO crystal sample, yielding results closely aligned with the known composition. The composition estimation approach was extended to several samples of undisclosed LYSO crystals, encompassing single crystal and crystal array configurations. Furthermore, we model the background spectrum observed in the LYSO-based detector and validate the observed spectra via simulations.Main results: The estimated Lutetium composition exhibited adequate consistency across different samples of the same LYSO material, with variations of less than 1%. The result of the proposed approach coupled with the simulation successfully models the background radiation spectra in various LYSO-based detector geometries.Significance: The implications of this work extend to the predictive assessment of system behaviors and the autonomous configuration parameters governing LYSO-based detectors.

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Education, Training and Research at Khalifa University in Support of the United Arab Emirates Nuclear Power Program

Foulon,

Addad,

Al Ameri

et al. 2023

EPJ Web Conf.

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In 2009 United Arab Emirates (UAE) has engaged in an ambitious nuclear power program with the construction of four 1400 MWe pressurized water reactor units at the Barakah site. Fourteen years later, three units are in commercial operation, and the fourth one is in the final steps of commissioning. The four units will produce up to 5600 megawatts of electricity, supplying approximately 25% of the UAE’s electricity requirements. To ensure in such a short period of time the building of the nuclear capabilities and support to the program, Khalifa University has been, since 2010, a key contributor to education and training activities as well as the development of R&D capabilities in the field of nuclear technology. This paper provides an overview of Khalifa University’s activities implemented within the Nuclear Engineering Department, the Gulf Nuclear Energy Infrastructure Institute and the Emirates Nuclear Technology Center (ENTC). This joint Center, which embarks the Emirates Nuclear Energy Corporation and the Federal Authority for Nuclear Regulation, is a hub that addresses the research requirements of the nuclear stakeholders for the delivery of safe and efficient nuclear energy as well as the deployment of advanced nuclear technologies in the UAE. The paper briefly describes the current research projects implemented at the ENTC and gives reference related recent publications.

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Discrete Convolution-Based Energy Spectrum Configuring Method for the Analysis of the Intrinsic Radiation of 176Lu

Cited by 3 publications

References 25 publications

Refined convolution‐based measures for real‐time harmonic distortions estimation in power system dominated by inverter‐based resources

Refined convolution‐based measures for real‐time harmonic distortions estimation in power system dominated by inverter‐based resources

Determination of lutetium density in LYSO crystals: methodology and PET detector applications

Education, Training and Research at Khalifa University in Support of the United Arab Emirates Nuclear Power Program

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