Download e-book for kindle: Advanced Monte Carlo for Radiation Physics, Particle by Dr. Andreas Kling, Prof. Fernando J. C. Baräo, Prof.

By Dr. Andreas Kling, Prof. Fernando J. C. Baräo, Prof. Masayuki Nakagawa, Prof. Luis Távora, Prof. Pedro Vaz (eds.)

ISBN-10: 3642182119

ISBN-13: 9783642182112

ISBN-10: 3642621139

ISBN-13: 9783642621130

This booklet focusses at the cutting-edge of Monte Carlo tools in radiation physics and particle shipping simulation and purposes, the latter regarding particularly, the use and improvement of electron--gamma, neutron--gamma and hadronic codes. along with the fundamental idea and the tools hired, specified recognition is paid to set of rules improvement for modeling, and the research of experiments and measurements in a number of fields starting from particle to clinical physics.

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Read Online or Download Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications: Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23–26 October 2000 PDF

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Additional resources for Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications: Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23–26 October 2000

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Our neutron transport codes use Monte Carlo for a solution of the integral transport Hadronic Monte Carlo 19 equation and are filled with variance reduction methods. The methods that have evolved tend to be nonanalogue and it may be hard to reverse that process. In addition, the physics content is fixed in the form of massive data libraries. Unfolding these features to perform, for example, a pulse height tally from a neutron source becomes a very difficult task in MCNP (or MCNPX). A consequence of merging philosophies as well as code is that many details must be treated that do not have a simple representation in the coding being adapted; an example is producing trackable recoil protons from nucleon elastic scattering when using library data for 1H.

We have to form new kinds of tri-partisan research institutions and organizations. • Physicists have to learn a lot more biology and chemistry. Conclusions • The Monte Carlo technique in the e±'Y sector has come a long way and has become very refined. • While tools development is ongoing, applications are increasing in number and diversifying. • Our biggest successes in the future will come from support to the life sciences, in particular, providing basic support to understanding the response of loving cells to radiation.

Recently, we have developed a simple scheme that allows mixed simulation of electron elastic scattering in a wide range of energies [3]. The method is based on a change of variables proposed by Kawrakow and Bielajew [17] that absorbs most of the energy dependence of the DCS and allows a substantial reduction of the database size. Inelastic scattering and bremsstrahlung emission pose more severe problems for detailed and mixed simulation. The associated DCSs depend on multiple variables and this complicates the storage of information as well as the corresponding random sampling.

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Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications: Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23–26 October 2000 by Dr. Andreas Kling, Prof. Fernando J. C. Baräo, Prof. Masayuki Nakagawa, Prof. Luis Távora, Prof. Pedro Vaz (eds.)


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