Design of Underwater Non-Coaxial Single Beam Scanning Detecting System

2016 ◽  
Author(s):  
Yayun Tan ◽  
He Zhang
Keyword(s):  
Monte Carlo ◽  
Final Stage ◽  
Monte Carlo Model ◽  
Experimental Results ◽  
Optical Simulation ◽  
Beam Scanning ◽  
Detection Range ◽  
Single Beam ◽  
System Parameters ◽  
Underwater Laser

Aiming at the necessity of torpedo detecting near field target in final stage of guidance, a non-coaxial (transmitter and receiver are not on the same axis) single beam scanning detecting and ranging system has been designed to be applied in torpedo. To study this detection system, this paper proposes a Monte Carlo simulation method for the system. The backscattering signal and target echo signal in seawater is simulated, and then the Signal-to-Backscattering-Noise (SBNR) is calculated. Furthermore, the relationship between maximum detecting distance and system parameters is calculated based on the criterion of minimum SNBR. Finally, the optimal system parameters are determined to get maximum detection range. For verifying the correctness of the theoretical models, underwater laser detection optical simulation system is designed to do target detecting experiment in a basin. The comparative analyses of the simulation and the experimental results show that the simulation results fit the experimental data well, thus the correctness of the semi-analytical Monte Carlo model is verified. The optimal parameters in single beam scanning detecting system can be determined according to the simulation and experimental results. The designed underwater laser detecting system provides a new method for the torpedo to detect underwater target in final stage of guidance.

Monte Carlo Thermal Model of an Integrating Light Pipe for Rapid Thermal Processing

1996 ◽  
Vol 429 ◽  
Author(s):  
J. C. Thomas ◽  
D. P. Dewitt
Keyword(s):  
Monte Carlo ◽  
Thermal Processing ◽  
Monte Carlo Model ◽  
Rapid Thermal Processing ◽  
Width Ratio ◽  
Temperature Uniformity ◽  
System Parameters ◽  
Light Pipe ◽  
End Wall ◽  
Cavity Width

AbstractA Monte Carlo model is developed to simulate transient wafer heating as a function of system parameters in a kaleidoscope- or integrating light-pipe type cavity with square cross-section. Trends in wafer temperature uniformity are examined as a function of length-to-width ratio, cavity width, and the number of heating lamps. The effect on temperature determination by a radiometer placed in the bottom end wall of the cavity is simulated.

Developing a Monte Carlo model for MEVION S250i with HYPERSCAN and Adaptive Aperture™ pencil beam scanning proton therapy system

2020 ◽  
pp. 1-8
Author(s):  
Bing-Hao Chiang ◽  
Austin Bunker ◽  
Hosang Jin ◽  
Salahuddin Ahmad ◽  
Yong Chen
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Monte Carlo Model ◽  
Particle Simulation ◽  
Planning System ◽  
Treatment Planning System ◽  
Pencil Beam ◽  
Beam Scanning ◽  
Pencil Beam Scanning ◽  
Beam Characteristics

Abstract Aim: As the number of proton therapy facilities has steadily increased, the need for the tool to provide precise dose simulation for complicated clinical and research scenarios also increase. In this study, the treatment head of Mevion HYPERSCAN pencil beam scanning (PBS) proton therapy system including energy modulation system (EMS) and Adaptive Aperture™ (AA) was modelled using TOPAS (TOolkit for PArticle Simulation) Monte Carlo (MC) code and was validated during commissioning process. Materials and methods: The proton beam characteristics including integral depth doses (IDDs) of pristine Bragg peak and in-air beam spot sizes were simulated and compared with measured beam data. The lateral profiles, with and without AA, were also verified against calculation from treatment planning system (TPS). Results: All beam characteristics for IDDs and in-air spot size agreed well within 1 mm and 10% separately. The full width at half maximum and penumbra of lateral dose profile also agree well within 2 mm. Finding: The TOPAS MC simulation of the MEVION HYPERSCAN PBS proton therapy system has been modelled and validated; it could be a viable tool for research and verification of the proton treatment in the future.

Benchmarking of Monte Carlo model of PWR (CNPP-II) core against theoretical and experimental results

2016 ◽  
Vol 92 ◽  
pp. 164-174 ◽  
Author(s):  
Anas Gul ◽  
R. Khan ◽  
M. Azeem ◽  
I. Shahzad ◽  
T. Stummer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Model ◽  
Experimental Results

scholarly journals Comparative evaluations of the Monte Carlo-based light propagation simulation packages for optical imaging

2017 ◽  
Vol 11 (01) ◽  
pp. 1750017 ◽  
Author(s):  
Lin Wang ◽  
Shenghan Ren ◽  
Xueli Chen
Keyword(s):  
Monte Carlo ◽  
Light Propagation ◽  
Monte Carlo Model ◽  
Light Transport ◽  
Optical Simulation ◽  
Simulation Environment ◽  
Software Packages ◽  
Heterogeneous Structures ◽  
Mc Simulation ◽  
Comparative Results

Monte Carlo simulation of light propagation in turbid medium has been studied for years. A number of software packages have been developed to handle with such issue. However, it is hard to compare these simulation packages, especially for tissues with complex heterogeneous structures. Here, we first designed a group of mesh datasets generated by Iso2Mesh software, and used them to cross-validate the accuracy and to evaluate the performance of four Monte Carlo-based simulation packages, including Monte Carlo model of steady-state light transport in multi-layered tissues (MCML), tetrahedron-based inhomogeneous Monte Carlo optical simulator (TIMOS), Molecular Optical Simulation Environment (MOSE), and Mesh-based Monte Carlo (MMC). The performance of each package was evaluated based on the designed mesh datasets. The merits and demerits of each package were also discussed. Comparative results showed that the TIMOS package provided the best performance, which proved to be a reliable, efficient, and stable MC simulation package for users.

Monte Carlo model for describing charge transfer in irradiated CCDs

1998 ◽  
Author(s):  
Dennis J. Gallagher ◽  
Raymond Demara ◽  
Gary Emerson ◽  
Wayne W. Frame ◽  
Alan W. Delamere
Keyword(s):  
Monte Carlo ◽  
Charge Transfer ◽  
Monte Carlo Model
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