The Importance of Accurate X-ray Energy Spectra for Modelling Dose Deposition with Monte Carlo Techniques

Forth, L.; Speller, Robert; Moss, Robert M.

doi:10.1109/nssmic.2017.8533113

Cited by 3 publications

(5 citation statements)

References 3 publications

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“…The speed of sound through mud shows small TABLE 3 Comparison of measured dose rates with calculated dose rates using SpekCalc software. Results show an underestimation of the calculated dose rate of 18-19%, which corresponds with the conclusions mentioned in Forth et al (2017).…”

Section: Ultrasound Properties Of Mudsupporting

confidence: 89%

“…SpekCalc can therefore be considered as a reliable tool for first estimations of the dose rate. Forth et al (2017) mentions overestimation of 10% and underestimation up to 20% by SpekCalc, compared to other simulations and validation measurements. Nonetheless, a validation of the outcome of SpekCalc with actual measurements was also performed, if only to verify the software is properly used and the output correctly interpreted.…”

Section: X-raysmentioning

confidence: 84%

“…SpekCalc was originally developed for educational purposes, but meanwhile used in the medical community for first estimations of the expected dose rate. It is mostly referred to as "a commonly used analytical approximation" (Forth et al, 2017) and compared frequently in literature with other more advanced (Monte Carlo) code and/or measurements like in Poludniowski et al (2009) and Forth et al (2017). SpekCalc can therefore be considered as a reliable tool for first estimations of the dose rate.…”

Section: X-raysmentioning

confidence: 99%

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Assessment of the potential of radiography and ultrasonography to record flow dynamics in cohesive sediments (mud)

Brouwers

Beeck²,

Meire³

et al. 2022

Front. Earth Sci.

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The possible use of both radiography and ultrasonography to visualise flow dynamics in cohesive sediments, also known as fluid mud, has been assessed. Ultimately, these techniques are intended to enable the application of Particle Image Velocimetry (PIV) in experimental fluid dynamics using such fluid mud. This research takes into account the specific requirements arising from this objective. Those requirements are primarily penetration depth, adequate frame rate and the preference not to seed with tracer particles. The evaluation of both techniques is elaborated in detail based the properties of mud originating from the Port of Zeebrugge (Belgium). The assessment of radiography starts with a chemical element analysis of the fluid mud, the results of which are used to determine the attenuation for high-energy electromagnetic radiation. Using various research software, the maximum thickness of the mud layer could be determined as a function of the maximum recordable flow velocities for different radiation sources. However, for the flow velocities expected in nautical research experiments, these thicknesses proved insufficient. Supplemented by the results of a particle size distribution analysis, it is found that high frequency ultrasound radiation will scatter in mud. In case of a great number of scatterers, the scattered ultrasound waves will interact, eventually resulting in speckle images, which are ideally suited for tracking. These findings were confirmed in a test setup with a standard medical ultrasound scanner. The penetration depth of ultrasonography with standard medical equipment is also limited. However, since ultrasonography is based on reflection, this is less of an issue compared to radiography, for which full penetration of the mud layer is required. Ultrasonography is therefore suggested as the preferred technique for the intended application.

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Section: Ultrasound Properties Of Mudsupporting

confidence: 89%

Section: X-raysmentioning

confidence: 84%

Section: X-raysmentioning

confidence: 99%

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Assessment of the potential of radiography and ultrasonography to record flow dynamics in cohesive sediments (mud)

Brouwers

Beeck²,

Meire³

et al. 2022

Front. Earth Sci.

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“…Metode model dan simulasi Monte Carlo adalah bentuk simulasi probabilistic yang mana solusi dari suatu permasalahan yang diberikan mendasari kepada proses ngacak [15], [16], [17]. Jadi pada model simulasi ini terdapat random dan ssmpling dengan distribusi probabilitas yang sudah kitaketahui maka cara simulasi Monte Carlo ini sudah bisa dipakai dan dipergunakan [18], [19].…”

Section: Pendahuluanunclassified

Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo

Rahayu¹,

Thoriq²,

Sapriadi³

2022

jidt

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Simulation modeling is used as a tool to see a picture of the company's condition in the future and as a forum for making a decision. Currently, sales are an important activity and a factor that must be considered in future planning. The purpose of sales is to bring profit or profit from products or services produced with good management. Simulation can help solve everyday problems such as existing problems, with simulation applications estimating the number of sales is very important. If someone can predict the number of sales, the cost of procurement and storage of goods can be minimized. From this, several parties can bring in profits as much as possible, and minimize losses. There are 18 sales sample data processed in this study, namely sales data from 2021 to 2022. Sales data is processed using the Monte Carlo method from January 2021 to June 2021 to predict results for July to December 2021. Then for July to December 2021 to predict the results for January to June 2022. The data is tested with various elements of probability using a random sample. A powerful numerical calculation tool by simulating statistical data, this simulation obtains accurate accuracy values from the observable physical form of the system. Implementation of calculations will be developed using an application-based system that will be built with the JAVA programming language. The test results that have been obtained in the form of the average number of product requests and average income will be used as an estimate of sales (state estimate) that can assist in making decisions based on the information that has been obtained. The data obtained has an accuracy rate of up to 80%.

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“…Simulasi Monte Carlo dalam bentuk simulasi probabilistik yang memberikan solusi dari suatu permasalahan berdasarkan pada proses bilngan acak [14], [15], [16]. Model simulasi ini memiliki bilangan random dan sampling dengan distribusi probabilitas yang dapat diketahui dan dapat digunakan [17], [18].…”

Section: Pendahuluanunclassified

Prediksi Tingkat Penjualan Pupuk Urea dengan Metode Monte Carlo

Dari

2022

jidt

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The development of science and information technology over time is very rapid in today's era, one of which is the agricultural sector. In the agricultural sector, there are many things that utilize technology, such as shallot cultivation. The need for shallots is very high, so many farmers plant shallots. To produce shallots of good quality and have a high selling price, farmers provide nutrition for the shallots they plant. The nutrient that onions really need is urea fertilizer. The fluctuating need for fertilizer for each farmer results in the availability of fertilizer in Kiosks often experiencing shortages. This has an impact on the scarcity of the availability of urea fertilizer. So this research was carried out to predict the level of sales of urea fertilizer in maintaining the need for fertilizer for shallot plants at Kiosk Pak De. Fertilizer availability aims to prepare stocks to avoid scarcity at a later time. The method used in this study is the Monte Carlo Method. This method is a method that can predict based on repeated random sampling. This method can also be used in various aspects of imputation systems and prediction of missing data. The data used in this study are sales data for urea fertilizer from 2020 to 2021. Sales data for 2020 are used to predict sales for 2021 and sales data for 2021 are used to predict sales for 2022. The results obtained from this study are the prediction rate for in 2020 with an accuracy rate of 92% and an accuracy in 2021 of 92.25%. From these results it can be concluded that this method can help Kios Pak De in maintaining scarcity in the sale of urea fertilizer

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The Importance of Accurate X-ray Energy Spectra for Modelling Dose Deposition with Monte Carlo Techniques

Cited by 3 publications

References 3 publications

Assessment of the potential of radiography and ultrasonography to record flow dynamics in cohesive sediments (mud)

Assessment of the potential of radiography and ultrasonography to record flow dynamics in cohesive sediments (mud)

Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo

Prediksi Tingkat Penjualan Pupuk Urea dengan Metode Monte Carlo

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