Optimization of Monte Carlo particle transport parameters and validation of a novel high throughput experimental setup to measure the biological effects of particle beams

Effects of exposing several insulators, commonly used for various purposes in integrated circuits, to beams of protons have been investigated. Materials considered include silicon dioxide, silicon nitride, aluminium nitride, alumina, and polycarbonate (Lexan). The passage of proton beams through ultrathin layers of these materials has been modeled by Monte Carlo simulations of particle transport. Parameters that have been varied in simulations include proton energy and insulating layer thickness. Materials are compared according to both ionizing and nonionizing effects produced by the passage of protons.

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MCNPX Monte Carlo simulations of particle transport in SiC semiconductor detectors of fast neutrons

Journal of Instrumentation ◽

10.1088/1748-0221/9/05/c05016 ◽

2014 ◽

Vol 9 (05) ◽

pp. C05016-C05016 ◽

Cited By ~ 7

Author(s):

K Sedlačková ◽

B Zat'ko ◽

A Šagátová ◽

M Pavlovič ◽

V Nečas ◽

...

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Particle Transport ◽

Fast Neutrons ◽

Semiconductor Detectors

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Unbiased estimators of coincidence and correlation in non-analogous Monte Carlo particle transport

Annals of Nuclear Energy ◽

10.1016/j.anucene.2014.06.034 ◽

2014 ◽

Vol 73 ◽

pp. 270-281 ◽

Cited By ~ 1

Author(s):

M. Szieberth ◽

J.L. Kloosterman

Keyword(s):

Monte Carlo ◽

Particle Transport ◽

Unbiased Estimators

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Eigenvalue (criticality) Monte Carlo method for particle transport

Monte Carlo Methods for Particle Transport ◽

10.1201/9780429198397-10 ◽

2020 ◽

pp. 187-213

Author(s):

Alireza Haghighat

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Particle Transport

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A Monte-Carlo Simulation of the Behaviour of Electron Swarms in Hydrogen Using an Anisotropic Scattering Model

Australian Journal of Physics ◽

10.1071/ph780299 ◽

1978 ◽

Vol 31 (4) ◽

pp. 299 ◽

Cited By ~ 14

Author(s):

HA Blevin ◽

J Fletcher ◽

SR Hunter

Keyword(s):

Experimental Data ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Electron Transport ◽

Anisotropic Scattering ◽

Isotropic Scattering ◽

Transport Parameters ◽

Simulation Code ◽

Scattering Model ◽

Good Agreement

Hunter (1977) found that a Monte-Carlo simulation of electron swarms in hydrogen, based on an isotropic scattering model, produced discrepancies between the predicted and measured electron transport parameters. The present paper shows that, with an anisotropic scattering model, good agreement is obtained between the predicted and experimental data. The simulation code is used here to calculate various parameters which are not directly measurable.

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Despeckling PolSAR Images with a Structure Tensor Filter

10.26686/wgtn.12554138 ◽

2020 ◽

Author(s):

D Santana-Cedres ◽

L Gomez ◽

L Alvarez ◽

Alejandro Frery

Keyword(s):

Monte Carlo ◽

Anisotropic Diffusion ◽

State Of The Art ◽

Monte Carlo Analysis ◽

Structure Tensor ◽

Synthetic Aperture ◽

Experimental Setup ◽

Polarimetric Synthetic Aperture Radar ◽

Wishart Matrices ◽

Dominant Direction

© 2004-2012 IEEE. In this letter, we propose a new despeckling filter for fully polarimetric synthetic aperture radar (PolSAR) images defined by 3× 3 complex Wishart distributions. We first generalize the well-known structure tensor to deal with PolSAR data which allows to efficiently measure the dominant direction and contrast of edges. The generalization includes stochastic distances defined in the space of the Wishart matrices. Then, we embed the formulation into an anisotropic diffusion-like schema to build a filter able to reduce speckle and preserve edges. We evaluate its performance through an innovative experimental setup that also includes Monte Carlo analysis. We compare the results with a state-of-the-art polarimetric filter.

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