Determination of correction factors in beta radiation beams using Monte Carlo method

Polo, Ivón Oramas; Santos, William S.; Caldas, Linda V.E.

doi:10.1016/j.apradiso.2018.06.011

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The Monte Carlo provides a robust platform to evaluate absorbed dose and other quantities in the field of medical physics. It can also be used for simulation of radiation detectors . Guo et al simulated the evolution of bonds in pyrolysis by combining the Boltzmann–Monte–Carlo algorithm with the percolation theory, which provides a new scheme to simulate coal pyrolysis.…”

Section: Methodsmentioning

confidence: 99%

“…It can also be used for simulation of radiation detectors. 34 Guo et al 35 simulated the evolution of bonds in pyrolysis by combining the Boltzmann− Monte−Carlo algorithm with the percolation theory, which provides a new scheme to simulate coal pyrolysis. In pyrolysis problem of coal, the Boltzmann distribution is implemented to represent the portion of the bonds dissociated, whereas the Monte Carlo algorithm delineates the bond formation by using coupling or collision of radical fragment.…”

Section: Characteristic Of Density Function P(e)mentioning

confidence: 99%

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Application of Monte Carlo Simulation for Energy Modeling

et al. 2019

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This work is pivoted on the implementation of Monte Carlo simulation technique in the thermal decomposition of biomass. Evaluation of kinetic parameters and their effect on the biomass pyrolysis is investigated through proposed integral scheme. Activation energy modeling relies upon the pairing of random points generated through the MATLAB program. The numerical solution of the multireaction model is based on the ratio of numbers of pair points (x i , y i ) and the points (i) generated. Thermoanalytical data of chir pine waste are obtained at different heating rates of 5, 10, and 15 °C min −1 . The scheme involves the inverse formulation of kinetic model; thus, the kinetic parameters can be more precisely computed than the hit-and trail-methodologies. Rather than speculating the behavior through regression analysis, the experimental thermogravimetric plane provides more correct information. So, the conversion of biomass is converted into the area of curve bounded by the experimental data. For experimental purpose, nitrogen is employed as the purge gas to sterilize the furnace at the volumetric rate of 200 mL min −1 . The relevant regime of temperature follows a non-isothermal profile for temperature range of 300−900 K.

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Section: Methodsmentioning

confidence: 99%

Section: Characteristic Of Density Function P(e)mentioning

confidence: 99%