scholarly journals Dual-grid mesh-based Monte Carlo algorithm for efficient photon transport simulations in complex three-dimensional media

2019 ◽  
Vol 24 (02) ◽  
pp. 1 ◽  
Author(s):  
Shijie Yan ◽  
Anh Phong Tran ◽  
Qianqian Fang
Keyword(s):  
Monte Carlo ◽  
Three Dimensional ◽  
Monte Carlo Algorithm ◽  
Photon Transport ◽  
Grid Mesh

Parallel Simulation of Steady State Light Transport Through Solid Media Using Logistic Map

2020 ◽  
Vol 17 (4) ◽  
pp. 1606-1609
Author(s):  
K. Sathish ◽  
Siddharth Singh ◽  
Anirudh Agarwal ◽  
Pranab Kumar Shukla
Keyword(s):  
Monte Carlo ◽  
Photodynamic Therapy ◽  
Gpu Computing ◽  
Logistic Map ◽  
Parallel Simulation ◽  
Light Transport ◽  
Monte Carlo Algorithm ◽  
Photon Transport ◽  
Solid Media ◽  
Wide Range

The Monte Carlo algorithm has been extensively used for photon transport simulations in medical imaging to assists doctors in Photodynamic Therapy for treatment of wide range of medical conditions including varieties of cancer by eliciting phototoxicity in cells. Previously this was done using static 2 Dimensional models on traditional CPUs. With the advent of GPU Computing further work was done to extend this model by separating the PRNG.

scholarly journals Nonreversible Markov Chain Monte Carlo Algorithm for Efficient Generation of Self-Avoiding Walks

2022 ◽  
Vol 9 ◽  
Author(s):  
Hanqing Zhao ◽  
Marija Vucelja
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Markov Chains ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Monte Carlo Algorithm ◽  
Efficient Generation ◽  
Self Avoiding Walk ◽  
Self Avoiding Walks

We introduce an efficient nonreversible Markov chain Monte Carlo algorithm to generate self-avoiding walks with a variable endpoint. In two dimensions, the new algorithm slightly outperforms the two-move nonreversible Berretti-Sokal algorithm introduced by H. Hu, X. Chen, and Y. Deng, while for three-dimensional walks, it is 3–5 times faster. The new algorithm introduces nonreversible Markov chains that obey global balance and allow for three types of elementary moves on the existing self-avoiding walk: shorten, extend or alter conformation without changing the length of the walk.

A Matlab-based Monte Carlo algorithm for transport of gamma-rays in matter

2015 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohsen Sharifzadeh ◽  
Hosein Afarideh ◽  
Hosein Khalafi ◽  
Reza Gholipour
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Cross Section ◽  
Gamma Rays ◽  
Radiation Detection ◽  
Monte Carlo Algorithm ◽  
Photon Transport ◽  
Future Work ◽  
Visible Photon ◽  
Good Agreement

AbstractTransport of gamma photons in many fields such as radiation detection, dosimetry, and treatment planning is used. The transport of 1 MeV and 5 MeV photons in a water phantom was simulated by using the Monte Carlo algorithm in Matlab work space. The result of KERMA calculation showed good agreement with Arqueros and Montesinos [American Journal of Physics 71 (2003), no. 1, 38–45], and MCNP4C. The proposed algorithm has ability to read out from different cross section libraries. As the future work, it also can be extend for the electron and visible photon transport.

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