New Method Based on Monte Carlo Calculation and Voxelized Phantoms for Realistic Internal Dosimetry: Application to a Complex and Old Actinide Contamination

2009 ◽  
Vol 168 (3) ◽  
pp. 824-831 ◽  
Author(s):  
D. Broggio ◽  
J. Janeczko ◽  
S. Lamart ◽  
E. Blanchardon ◽  
N. Borisov ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
New Method ◽  
Internal Dosimetry

scholarly journals Monte Carlo calculation of organ dose coefficients for internal dosimetry: Results of an international intercomparison exercise

2021 ◽  
pp. 106661
Author(s):  
Maria Zankl ◽  
José-María Gómez Ros ◽  
Montserrat Moraleda ◽  
Uwe Reichelt ◽  
Deepak K. Akar ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
Organ Dose ◽  
Internal Dosimetry ◽  
Intercomparison Exercise ◽  
Dose Coefficients ◽  
International Intercomparison

A New Reliability Prediction Method Based on Physics of Failure Method for Product Design and Manufacture

2012 ◽  
Vol 548 ◽  
pp. 521-526 ◽  
Author(s):  
Xing Hao Wang ◽  
Jiang Shao ◽  
Xiao Yu Liu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
Computational Cost ◽  
Prediction Method ◽  
New Method ◽  
Reliability Prediction ◽  
Time To Failure ◽  
Physics Of Failure ◽  
First Order ◽  
Environment Stress

Different from the reliability prediction method on handbook, the reliability prediction method based on Physics of Failure (PoF) model takes failure mechanism as theoretical basis, and combines the design in-formation with the environment stress of the product to predict the time to failure. When the uncertain of the parameters is considered to predict the reliability, Monte-Carlo calculation method is always used here. How-ever, the Monte-Carlo method needs large computational cost, especially for large and complicated electronic systems. A new reliability prediction method which combines the first order reliability with the reliability pre-diction method based on PoF model was proposed. The new method utilized the first order method to calculate the position of design point and reliability index, thus Monte-Carlo calculation process was avoided. Example calculation results showed that the new method improves the prediction efficiency without decreasing the accuracy of reliability, thus it is feasible for reliability prediction of electronic product in engineering.

scholarly journals New Method of Monte Carlo Calculation Using the Distorted Scattering Angle Distribution Depending on the Surface Roughness

2011 ◽  
Vol 54 (5) ◽  
pp. 298-306 ◽  
Author(s):  
Hajime YOSHIDA ◽  
Masanori SHIRO ◽  
Masahiro HIRATA ◽  
Hitoshi AKIMICHI
Keyword(s):  
Surface Roughness ◽  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
New Method ◽  
Angle Distribution ◽  
Scattering Angle

Monte Carlo calculation of the energy parameters and spatial distribution of the cathodic arc ions while passing through the macro-particles filters

2018 ◽  
Vol 1 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Alexey Chernogor ◽  
Igor Blinkov ◽  
Alexey Volkhonskiy
Keyword(s):  
Magnetic Field ◽  
Mass Transfer ◽  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
Inhomogeneous Magnetic Field ◽  
Flow Energy ◽  
Wide Range ◽  
Field Concentrator ◽  
Cathodic Arc ◽  
The Magnetic Field

The flow, energy distribution and concentrations profiles of Ti ions in cathodic arc are studied by test particle Monte Carlo simulations with considering the mass transfer through the macro-particles filters with inhomogeneous magnetic field. The loss of ions due to their deposition on filter walls was calculated as a function of electric current and number of turns in the coil. The magnetic field concentrator that arises in the bending region of the filters leads to increase the loss of the ions component of cathodic arc. The ions loss up to 80 % of their energy resulted by the paired elastic collisions which correspond to the experimental results. The ion fluxes arriving at the surface of the substrates during planetary rotating of them opposite the evaporators mounted to each other at an angle of 120° characterized by the wide range of mutual overlapping.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

The Granularity of Colour Materials: A Monte Carlo Calculation

1981 ◽  
Vol 29 (2) ◽  
pp. 61-64 ◽  
Author(s):  
P. J. Hillson ◽  
J. F. Reddington
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Calculation

scholarly journals Monte Carlo calculation of the organ equivalent dose and effective dose due to immersion in a 16N beta source in air using the ICRP reference phantoms

2021 ◽  
pp. 106612
Author(s):  
José M. Gómez-Ros ◽  
Montserrat Moraleda ◽  
Pedro Arce ◽  
Duc-Ky Bui ◽  
Thi-My-Linh Dang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Effective Dose ◽  
Monte Carlo Calculation ◽  
Equivalent Dose ◽  
Organ Equivalent Dose ◽  
Beta Source

Path-integral Monte Carlo calculation of free and confined carrier real self-energies at non-zero temperatures

1991 ◽  
Vol 10 (1) ◽  
pp. 47-50
Author(s):  
Leonard F. Register ◽  
Michael A. Littlejohn ◽  
Michael A. Stroscio
Keyword(s):  
Monte Carlo ◽  
Path Integral ◽  
Monte Carlo Calculation ◽  
Path Integral Monte Carlo ◽  
Real Self

Hydrodynamic parameters of hydrated macromolecules: Monte Carlo calculation

2004 ◽  
Vol 6 (9) ◽  
pp. 2358-2363 ◽  
Author(s):  
M. Bánó ◽  
J. Marek ◽  
M. Stupák
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
Hydrodynamic Parameters
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