scholarly journals Mueller matrix imaging of human colon tissue for cancer diagnostics: how Monte Carlo modeling can help in the interpretation of experimental data

2010 ◽  
Vol 18 (10) ◽  
pp. 10200 ◽  
Author(s):  
Maria-Rosaria Antonelli ◽  
Angelo Pierangelo ◽  
Tatiana Novikova ◽  
Pierre Validire ◽  
Abdelali Benali ◽  
...  
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Human Colon ◽  
Mueller Matrix ◽  
Cancer Diagnostics ◽  
Colon Tissue ◽  
Monte Carlo Modeling

scholarly journals Monte Carlo Modeling of Wurtzite and 4H Phase Semiconducting Materials

VLSI Design ◽  
2001 ◽  
Vol 13 (1-4) ◽  
pp. 117-124 ◽  
Author(s):  
K. F. Brennan ◽  
E. Bellotti ◽  
M. Farahmand ◽  
H.-E. Nilsson ◽  
P. P. Ruden ◽  
...  
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Band Structure ◽  
Simulation Models ◽  
Particle Simulation ◽  
Semiconducting Materials ◽  
Monte Carlo Modeling ◽  
Cubic Symmetry ◽  
Transport Dynamics ◽  
Intersection Points

We present a discussion of the complexities encountered in particle simulation models for noncubic symmetry semiconductors, focusing on the wurtzite and 4H polytypes of GaN and SiC. We have identified three general issues, band structure, scattering mechanisms, and band intersections, which in our opinion, constitute the most important modifications to conventional Monte Carlo simulators for cubic symmetry semiconductors. It is found that the band intersection points present the greatest modeling challenge. We discuss the effect of band intersections on the transport dynamics and our initial attempts at treating transport near these points. Comparison to experimental data is also made.

scholarly journals Impact of model parameters on Monte Carlo simulations of backscattering Mueller matrix images of colon tissue

2011 ◽  
Vol 2 (7) ◽  
pp. 1836 ◽  
Author(s):  
Maria-Rosaria Antonelli ◽  
Angelo Pierangelo ◽  
Tatiana Novikova ◽  
Pierre Validire ◽  
Abdelali Benali ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Mueller Matrix ◽  
Model Parameters ◽  
Colon Tissue

scholarly journals A Simulation of the Effects of Badminton Serve Release Height

2021 ◽  
Vol 11 (7) ◽  
pp. 2903
Author(s):  
John Rasmussen ◽  
Mark de Zee
Keyword(s):  
Experimental Data ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
World Federation ◽  
Forward Dynamics ◽  
Dynamics Model ◽  
Rib Cage ◽  
Female Player ◽  
Ballistic Trajectory ◽  
Release Height

In this work, we develop and calibrate a model to represent the trajectory of a badminton shuttlecock and use it to investigate the influence of serve height in view of a new serve rule instated by the Badminton World Federation. The new rule means that all players must launch the shuttlecock below a height of 1.15 m, as opposed to the old rule whereby the required launch height was under the rib cage of the server. The model is based on a forward dynamics model of ballistic trajectory with drag, and it is calibrated with experimental data. The experiments also served to determine the actual influence of the new rule on the shuttlecock launch position. The model is used in a Monte Carlo simulation to determine the statistical influence of the new serve rules on the player’s ability to perform good serves; i.e., serves with little opportunity for the receiver to attack. We conclude that, for the female player in question, serving below a height of 1.15 m makes it marginally more difficult to perform excellent serves. We also conclude that there might be alternative launch positions that would be less likely to produce the best serves but could be exploited as a tactical option.

Genetic-based Monte Carlo Modeling of geothermal prospects: Indian examples

2021 ◽  
Author(s):  
Anirbid Sircar ◽  
Kriti Yadav ◽  
Kamakshi Rayavarapu ◽  
Namrata Bist
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Modeling

scholarly journals High energy cosmic ray interactions and UHECR composition problem

2019 ◽  
Vol 210 ◽  
pp. 02001
Author(s):  
Sergey Ostapchenko
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Cosmic Rays ◽  
Cosmic Ray ◽  
High Energy ◽  
Ultra High Energy ◽  
Hadronic Interactions ◽  
High Energy Cosmic Rays ◽  
Cosmic Ray Interactions ◽  
Composition Problem

The differences between contemporary Monte Carlo generators of high energy hadronic interactions are discussed and their impact on the interpretation of experimental data on ultra-high energy cosmic rays (UHECRs) is studied. Key directions for further model improvements are outlined. The prospect for a coherent interpretation of the data in terms of the UHECR composition is investigated.

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