Estimation of ambient dose equivalent rate with a plastic scintillation detector using the least-square and first-order methods-based G(E) function

Hwang, Jisung; Kim, Junhyeok; Jeon, Byoungil; Ko, Kuk Won; Ko, Eunbie; Cho, Gyuseong

doi:10.1016/j.apradiso.2023.110707

Cited by 3 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A detector is a device that identifies differences and obtains desired information through them. Most of the previous studies estimated the dose using the G(E) function with a device that only records energy (i.e., spectroscopy) with a single detector [ 10 , 11 , 12 , 13 ]. As the form of the G(E) function is not fixed, any function that best estimates the dose rate should be used.…”

Section: Methodsmentioning

confidence: 99%

“…The method of optimization for both G(E) PG functions and G(E) C function was using the ADAM method, which obtained high accuracy of dose estimation in previous studies [ 5 , 13 ]. The ADAM optimizer is an algorithm that can converge to the global minimum in optimization problems with many variables, making it suitable for the optimizing up to 110 variables.…”

Section: Methodsmentioning

confidence: 99%

“…However, the unfolding method has inherent noise that occurs during the unfolding process, and complexity of process [ 9 ]. The G(E) function can directly convert the measured spectrum into dose without any additional steps [ 10 , 11 , 12 , 13 ]. Nevertheless, the G(E) function has the essential limitation of significant errors at low energy.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, the G(E) function has the essential limitation of significant errors at low energy. To overcome this limitation, a method was proposed to optimize coefficients using the ADAM method [ 5 , 13 ]; however, it is difficult to improve the difference in response depending on the direction of incidence of gamma rays. Nonspherical detectors cause the error of dose estimation depending on the direction of incidence of gamma rays, making them unreliable for dose estimation in most contamination situations with an unknown source distribution [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Pixel-Grouping G(E) Functions for Estimating Dose Rates from Unknown Source Distributions with a Position-Sensitive Detector

Kim

Hwang

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

Estimating accurate radiation doses when a radioactive source’s location is unknown can protect workers from radiation exposure. Unfortunately, depending on a detector’s shape and directional response variations, conventional G(E) function can be prone to inaccurate dose estimations. Therefore, this study estimated accurate radiation doses regardless of source distributions, using the multiple G(E) function groups (i.e., pixel-grouping G(E) functions) within a position-sensitive detector (PSD), which records the response position and energy inside the detector. Investigations revealed that, compared with the conventional G(E) function when source distributions are unknown, this study’s proposed pixel-grouping G(E) functions improved dose estimation accuracy by more than 1.5 times. Furthermore, although the conventional G(E) function produced substantially larger errors in certain directions or energy ranges, the proposed pixel-grouping G(E) functions estimate doses with more uniform errors at all directions and energies. Therefore, the proposed method estimates the dose with high accuracy and provides reliable results regardless of the location and energy of the source.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pixel-Grouping G(E) Functions for Estimating Dose Rates from Unknown Source Distributions with a Position-Sensitive Detector

Kim

Hwang

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…To accurately measure the air-absorbed dose rate of 𝑋/𝛾 rays of different energies, the detector must thus respond consistently to 𝑋/𝛾 rays of different energies. However, scintillating crystal-based dose rate meters such as NaI(Tl) and CsI(Tl) respond unevenly to 𝑋/𝛾 rays of different energies [1,[7][8][9][10][11][12]. For example, in Park's research, the uncompensated CsI(Tl) dose rate meter had a relative energy response of 33 (relative to 137 Cs) at 100 keV and 0.45 at 1250 keV [8].…”

Section: Introductionmentioning

confidence: 99%

Research on multi-probe energy response compensation for X/γ dose rate meter

Li,

Gong,

Zhang

et al. 2024

J. Inst.

View full text Add to dashboard Cite

Dose rate meters operating in pulse counting mode usually encounter the problem of uneven energy response. While current methods of coating a single probe with a metal layer can effectively improve the flatness of the energy response, the energy range of the flat response is limited. In this research, a multi-probe energy response compensation method was proposed to solve the problem of uneven energy response of a CsI(Tl) dose rate meter. In this method, different relative energy response curves were obtained by adding different hardware compensations to a probe. Then, two to four relative energy response curves were selected and weighted to obtain a flatter response within the energy region of interest. Specifically, first, 51 compensation schemes were obtained by changing the geometry and material parameters of the CsI(Tl) probe compensation layer. Second, the relative energy response curves of CsI(Tl) probes with 51 compensation schemes were obtained by MCNP simulation. Finally, the weight coefficient of each relative energy response curve was determined by overdetermined equations, and the combination with the smallest relative energy response deviation was selected. Within the energy range of 80–1500 keV, the optimal two-probe compensation scheme was selected from one to three probe compensation schemes. After the dual probe combination compensation, the relative energy response deviation ranged from -23.0% to 5.0%. Within the energy range of 50–3000 keV, the compensation schemes of one to four probes were traversed. The optimal three-probe compensation schemes were selected. After combined compensation, the relative energy response deviation ranged from -27.3% to 15.3%. Furthermore, the compensation effect of multiple probes was better than that of single probes in both energy regions of interest. Simulation results demonstrated that our proposed method can significantly improve the flatness of the energy response of dose rate meters based on CsI(Tl).

show abstract

Exploration of deep-learning-based dose rate estimation model for a large-volume plastic scintillation detector

Jeon,

Hwang,

Moon

2024

Nuclear Engineering and Technology

View full text Add to dashboard Cite

Estimation of ambient dose equivalent rate with a plastic scintillation detector using the least-square and first-order methods-based G(E) function

Cited by 3 publications

References 22 publications

Pixel-Grouping G(E) Functions for Estimating Dose Rates from Unknown Source Distributions with a Position-Sensitive Detector

Pixel-Grouping G(E) Functions for Estimating Dose Rates from Unknown Source Distributions with a Position-Sensitive Detector

Research on multi-probe energy response compensation for X/γ dose rate meter

Exploration of deep-learning-based dose rate estimation model for a large-volume plastic scintillation detector

Contact Info

Product

Resources

About