Author: Johannes JendersiePublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Faster and More Robust Algorithms for Monte Carlo Light Transport Simulation
Author: Johannes JendersieRobust Monte Carlo Methods for Light Transport Simulation
Author: Eric VeachPublisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 444
Book Description
Robust and Efficient Monte Carlo Light Transport Simulation Using Regularizations and the Half Vector Integration Domain
Author: Anton S. KaplanyanMonte Carlo Methods for Particle Transport
Author: Alireza HaghighatPublisher: CRC Press
ISBN: 1466592540
Category : Mathematics
Languages : en
Pages : 287
Book Description
The Monte Carlo method has become the de facto standard in radiation transport. Although powerful, if not understood and used appropriately, the method can give misleading results. Monte Carlo Methods for Particle Transport teaches appropriate use of the Monte Carlo method, explaining the method's fundamental concepts as well as its limitations. Co
VECTORIZED ALGORITHMS FOR MONTE CARLO SIMULATION OF KILOVOLT ELECTRON AND PHOTON TRANSPORT (ELECTRON TRANSPORT).
Author: SCOTT JAMES WILDERMANPublisher:
ISBN:
Category :
Languages : en
Pages : 411
Book Description
data for the reported accuracy optimization studies.
Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications
Author: Andreas KlingPublisher: Springer
ISBN: 9783642621130
Category : Science
Languages : en
Pages : 0
Book Description
This book focuses on the state of the art of Monte Carlo methods in radiation physics and particle transport simulation and applications. Special attention is paid to algorithm development for modeling, and the analysis of experiments and measurements in a variety of fields.
Parallel Algorithms for Monte Carlo Particle Transport Simulation on Exascale Computing Architectures
Author: Paul Kollath RomanoPublisher:
ISBN:
Category :
Languages : en
Pages : 199
Book Description
Monte Carlo particle transport methods are being considered as a viable option for high-fidelity simulation of nuclear reactors. While Monte Carlo methods offer several potential advantages over deterministic methods, there are a number of algorithmic shortcomings that would prevent their immediate adoption for full-core analyses. In this thesis, algorithms are proposed both to ameliorate the degradation in parallal efficiency typically observed for large numbers of processors and to offer a means of decomposing large tally data that will be needed for reactor analysis. A nearest-neighbor fission bank algorithm was proposed and subsequently implemented in the OpenMC Monte Carlo code. A theoretical analysis of the communication pattern shows that the expected cost is O([square root]N) whereas traditional fission bank algorithms are O(N) at best. The algorithm was tested on two supercomputers, the Intrepid Blue Gene/P and the Titan Cray XK7, and demonstrated nearly linear parallel scaling up to 163,840 processor cores on a full-core benchmark problem. An algorithm for reducing network communication arising from tally reduction was analyzed and implemented in OpenMC. The proposed algorithm groups only particle histories on a single processor into batches for tally purposes - in doing so it prevents all network communication for tallies until the very end of the simulation. The algorithm was tested, again on a full-core benchmark, and shown to reduce network communication substantially. A model was developed to predict the impact of load imbalances on the performance of domain decomposed simulations. The analysis demonstrated that load imbalances in domain decomposed simulations arise from two distinct phenomena: non-uniform particle densities and non-uniform spatial leakage. The dominant performance penalty for domain decomposition was shown to come from these physical effects rather than insufficient network bandwidth or high latency. The model predictions were verified with measured data from simulations in OpenMC on a full-core benchmark problem. Finally, a novel algorithm for decomposing large tally data was proposed, analyzed, and implemented/tested in OpenMC. The algorithm relies on disjoint sets of compute processes and tally servers. The analysis showed that for a range of parameters relevant to LWR analysis, the tally server algorithm should perform with minimal overhead. Tests were performed on Intrepid and Titan and demonstrated that the algorithm did indeed perform well over a wide range of parameters.
Optical-Thermal Response of Laser-Irradiated Tissue
Author: Ashley J. WelchPublisher: Springer Science & Business Media
ISBN: 9048188318
Category : Science
Languages : en
Pages : 951
Book Description
The second edition maintains the standard of excellence established in the first edition, while adjusting the content to reflect changes in tissue optics and medical applications since 1995. The material concerning light propagation now contains new chapters devoted to electromagnetic theory for coherent light. The material concerning thermal laser-tissue interactions contains a new chapter on pulse ablation of tissue. The medical applications section now includes several new chapters on Optical Coherent Tomography, acoustic imaging, molecular imaging, forensic optics and nerve stimulation. A detailed overview is provided of the optical and thermal response of tissue to laser irradiation along with diagnostic and therapeutic examples including fiber optics. Sufficient theory is included in the book so that it is suitable for a one or two semester graduate or for senior elective courses. Material covered includes (1) light propagation and diagnostic application; (2) the thermal response of tissue and therapeutic application; (3) denaturation; and (4) ablation. The theory and applications provide researchers with sufficient detail that this volume will become the primary reference for laser-tissue interactions and medical applications.
Particle-transport simulation with the Monte Carlo method
Author: Leland L. CarterMonte Carlo Strategies in Scientific Computing
Author: Jun S. LiuPublisher: Springer Science & Business Media
ISBN: 0387763716
Category : Mathematics
Languages : en
Pages : 350
Book Description
This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods.