Modeling minimum detectable activity as a function of detector speed

Falkner, James; Marianno, Craig M.

doi:10.1007/s41605-019-0103-5

Cited by 4 publications

(9 citation statements)

References 15 publications

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“…A plot of the MDA as a function of speed for this experimental setup demonstrates a continuously positive slope similar to the M4PL; see Fig. 8 (Falkner and Marianno 2019). The minimum calculated MDA is 4.218 kBq at 0 cm s −1 , and the maximum calculated MDA is 17.205 kBq at 120 cm s −1 .…”

Section: Resultsmentioning

confidence: 69%

“…The peak counts were then averaged within each throttle setting and source strength cohort. The efficiencies for each throttle and source strength cohort were calculated using the decay-corrected activity of the sources used and then plotted against the model fit from previous work (Falkner and Marianno 2019). The static trials for each of the source strengths directly over the source were gathered to show the static detector's efficiency as a baseline for a comparison to the speed trials.…”

Section: Methodsmentioning

confidence: 99%

“…A mathematically defined relationship between speed and efficiency has been established recently (Falkner and Marianno 2019). The relationship was identified by fitting Monte Carlo N-Particle (MCNP) results to a modified four parameter logistic (M4PL) equation (Sittampalam et al 2004).…”

Section: Introductionmentioning

confidence: 99%

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Validating a Methodology That Associates Minimum Detectable Activity with Detector Velocity

Falkner

Marianno

2021

Health Physics

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Mobile radiation detection systems are used widely in remediation and nuclear security. However, their detection efficiency and thus their minimum detectable activity is not completely understood. It is recognized that the detector's velocity will affect its detection efficiency. At lower speeds, detection efficiency will be higher than a detector moving at higher speeds. The relationship describing how speed and efficiency are related was only recently quantified using a modified four-parameter logistic function (M4PL). The current research verifies the M4PL function in a controlled laboratory setting using a 5.08 cm Â 5.08 cm sodium iodide detector at speeds between 20-120 cm s −1 . As expected, the M4PL function indicates a detection system's highest efficiency at low speeds and its lowest efficiency at higher speed. In between is a transition region of decreasing detector efficiency. This decrease is gradual within initial speeds but quickly steepens and then approaches a minimum at higher detector speeds. This general shape was observed in the experimental data and validated the M4PL function as a predictive tool. To conclude this research and to demonstrate the function's usefulness, a relationship between speed and minimum detectable activity (MDA) was developed. Using this function and the methods described in this research, planners can now optimize surveys by controlling velocity to maintain MDA. It is also possible to use this technique to accelerate surveys while having the ability to predict the reduction in MDA. This foundational relationship between detector speed and detection efficiency has the potential to improve detector performance in various applications for both the academic and operational fields.

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Section: Resultsmentioning

confidence: 69%

Section: Methodsmentioning

confidence: 99%

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Validating a Methodology That Associates Minimum Detectable Activity with Detector Velocity

Falkner

Marianno

2021

Health Physics

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“…Meanwhile, Falkner and Marianno 41 found that the speed of a moving radiation detector will influence the solid angle of the radiation detector, that is, the geometric efficiency. As the speed increases, the solid angle and the efficiency decrease.…”

Section: Related Workmentioning

confidence: 99%

“…The result is beneficial to strategize survey plans, where the speed selection can efficiently optimize the cost, time, and survey results accuracy. Exploring the same concept as in literature, 41 this work utilized the radiation detector MDA to select the appropriate source-to-detector distance. Subsequently, the resolution of the radiation map is established based on the selected parameters.…”

Section: Related Workmentioning

confidence: 99%

A coverage path planning approach for autonomous radiation mapping with a mobile robot

Rahman

Sahari

Hamid

et al. 2022

International Journal of Advanced Robotic Systems

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In nuclear and radiation-related industries, it is crucial to ensure that the radiation dose exposure to the radiation worker is maintained below the permissible dose limit. A radiation map is a useful tool for visualizing the radiation distribution across the work area and for coordinating activities involving the hotspots (high radiation areas). The goal of this work was to design and implement a coverage path planning approach for autonomous radiation mapping carried out by a mobile robot. Given a 2D occupancy map, a method to generate uniformly distributed sampling points was proposed. The geometry of the region of interest, the radiation detector module, and the radiation measurement parameters were considered in formulating the sampling positions. Next, the coverage path planning planner integrates the nearest neighbor and depth-first search algorithms to create a continuous path that enables the robot to visit all the sampling points. The K-means clustering algorithm is added for systematic coverage of a large number of sampling points. The clustering provides options to partition the region of interest into smaller spaces, where the robot would perform the mapping cluster by cluster. Finally, the method of building the radiation map from the acquired data was also presented. The approach was implemented in ROS using a commercial mobile robot equipped with a Geiger–Muller detector. The performance and reliability of the proposed approach were evaluated with a series of simulations and real-world experiments. The results showed that the robot is able to perform autonomous radiation mapping at various target areas. The accuracy of the generated radiation map and the hotspots classifications were also compared and evaluated with conventional manual measurements. Overall, the theoretical frameworks and experiments have provided convincing results in the automation of hazardous work and subsequently toward improving the occupational safety of radiation workers.

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The coverage and detection limit of a sampling point for robotics radiation mapping

Rahman

Sahari

Baharuddin

2023

Applied Radiation and Isotopes

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Modeling minimum detectable activity as a function of detector speed

Cited by 4 publications

References 15 publications

Validating a Methodology That Associates Minimum Detectable Activity with Detector Velocity

Validating a Methodology That Associates Minimum Detectable Activity with Detector Velocity

A coverage path planning approach for autonomous radiation mapping with a mobile robot

The coverage and detection limit of a sampling point for robotics radiation mapping

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