High-Precision Monte Carlo Simulation of the Ising Models on the Penrose Lattice and the Dual Penrose Lattice

2016 ◽  
Vol 85 (4) ◽  
pp. 044004 ◽  
Author(s):  
Yukihiro Komura ◽  
Yutaka Okabe
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
High Precision ◽  
Ising Models

scholarly journals Determination of electron backscattering coefficient of beryllium by a high-precision Monte Carlo simulation

2021 ◽  
Vol 26 ◽  
pp. 100862
Author(s):  
Abrar Hussain ◽  
Lihao Yang ◽  
Shifeng Mao ◽  
Bo Da ◽  
Károly Tőkési ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
High Precision ◽  
Backscattering Coefficient ◽  
Electron Backscattering

scholarly journals High Precision Positioning with Multi-Camera Setups: Adaptive Kalman Fusion Algorithm for Fiducial Markers

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2746 ◽  
Author(s):  
Dragos Constantin Popescu ◽  
Ioan Dumitrache ◽  
Simona Iuliana Caramihai ◽  
Mihail Octavian Cernaianu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
High Precision ◽  
Measurement Noise ◽  
Fusion Method ◽  
Fiducial Markers ◽  
Multiple Cameras ◽  
Precision Positioning ◽  
Fusion Algorithm ◽  
Physics Experiments

The paper addresses the problem of fusing the measurements from multiple cameras in order to estimate the position of fiducial markers. The objectives are to increase the precision and to extend the working area of the system. The proposed fusion method employs an adaptive Kalman algorithm which is used for calibrating the setup of cameras as well as for estimating the pose of the marker. Special measures are taken in order to mitigate the effect of the measurement noise. The proposed method is further tested in different scenarios using a Monte Carlo simulation, whose qualitative precision results are determined and compared. The solution is designed for specific positioning and alignment tasks in physics experiments, but also, has a degree of generality that makes it suitable for a wider range of applications.

scholarly journals ANALYSIS OF RANDOM NUMBER GENERATORS USING MONTE CARLO SIMULATION

1994 ◽  
Vol 05 (03) ◽  
pp. 547-560 ◽  
Author(s):  
P.D. CODDINGTON
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ising Model ◽  
High Precision ◽  
Random Number ◽  
Statistical Tests ◽  
Exact Results ◽  
Random Number Generators ◽  
Monte Carlo Algorithms

Monte Carlo simulation is one of the main applications involving the use of random number generators. It is also one of the best methods of testing the randomness properties of such generators, by comparing results of simulations using different generators with each other, or with analytic results. Here we compare the performance of some popular random number generators by high precision Monte Carlo simulation of the 2-d Ising model, for which exact results are known, using the Metropolis, Swendsen-Wang, and Wolff Monte Carlo algorithms. Many widely used generators that perform well in standard statistical tests are shown to fail these Monte Carlo tests.

Monte Carlo simulation of very large kinetic Ising models

1981 ◽  
Vol 44 (4) ◽  
pp. 333-337 ◽  
Author(s):  
B. K. Chakrabarti ◽  
H. G. Baumg�rtel ◽  
D. Stauffer
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ising Models ◽  
Kinetic Ising Models

Monte Carlo simulation of very large dilute random-field Ising models using multi-spin coding

1987 ◽  
Vol 43 (3) ◽  
pp. 329-337 ◽  
Author(s):  
Debashish Chowdhury ◽  
E.T. Gawlinski ◽  
J.D. Gunton
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Random Field ◽  
Ising Models

Vectorized Monte Carlo simulation of large Ising models near the critical point

1988 ◽  
Vol 37 (10) ◽  
pp. 5444-5447 ◽  
Author(s):  
Masatoshi Mori ◽  
Yoshinori Tsuda
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Critical Point ◽  
Ising Models
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