Monte Carlo Prediction of Non-Newtonian Viscous Sintering: Experimental Validation for the Two-Glass-Cylinder System

2005 ◽  
Vol 88 (8) ◽  
pp. 2071-2078 ◽  
Author(s):  
S. Bordère ◽  
D. Gendron ◽  
J.-M. Heintz ◽  
D. Bernard
Keyword(s):  
Monte Carlo ◽  
Experimental Validation ◽  
Monte Carlo Prediction ◽  
Glass Cylinder ◽  
Viscous Sintering

Monte Carlo-based calculation of imaging plate response to 90Sr in teeth: experimental validation of the required correction on sample thickness

2007 ◽  
Vol 46 (3) ◽  
pp. 215-220 ◽  
Author(s):  
Kenichi Tanaka ◽  
Satoru Endo ◽  
Shin Toyoda ◽  
Eldana Tieliewuhan ◽  
Alex Romanyukha ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Experimental Validation ◽  
Sample Thickness ◽  
Imaging Plate

scholarly journals High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Florin Pop
Keyword(s):  
Monte Carlo ◽  
Big Data ◽  
Numerical Methods ◽  
High Performance ◽  
Data Science ◽  
Experimental Validation ◽  
High Energy Physics ◽  
High Energy ◽  
Performance Computing ◽  
Energy Physics

Modern physics is based on both theoretical analysis and experimental validation. Complex scenarios like subatomic dimensions, high energy, and lower absolute temperature are frontiers for many theoretical models. Simulation with stable numerical methods represents an excellent instrument for high accuracy analysis, experimental validation, and visualization. High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. This paper presents existing computational methods for high energy physics (HEP) analyzed from two perspectives: numerical methods and high performance computing. The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum. All of these methods produce data-intensive applications, which introduce new challenges and requirements for ICT systems architecture, programming paradigms, and storage capabilities.

Experimental validation of Monte Carlo dose calculations about a high-intensity Ir-192 source for pulsed dose-rate brachytherapy

1995 ◽  
Vol 22 (6) ◽  
pp. 821-829 ◽  
Author(s):  
R. K. Valicenti ◽  
A. S. Kirov ◽  
A. S. Meigooni ◽  
V. Mishra ◽  
R. K. Das ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Rate ◽  
High Intensity ◽  
Experimental Validation ◽  
Dose Calculations ◽  
Pulsed Dose Rate

Experimental validation of the FLUKA Monte Carlo code for dose and $\beta^+$ -emitter predictions of radioactive ion beams

2018 ◽  
Vol 63 (21) ◽  
pp. 215014 ◽  
Author(s):  
R S Augusto ◽  
A Mohammadi ◽  
H Tashima ◽  
E Yoshida ◽  
T Yamaya ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Experimental Validation ◽  
Ion Beams ◽  
Radioactive Ion Beams ◽  
Monte Carlo Code ◽  
Beta Emitter
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