By Dr. Andreas Kling, Prof. Fernando J. C. Baräo, Prof. Masayuki Nakagawa, Prof. Luis Távora, Prof. Pedro Vaz (eds.)
This e-book focusses at the cutting-edge of Monte Carlo tools in radiation physics and particle delivery simulation and purposes, the latter concerning particularly, the use and improvement of electron--gamma, neutron--gamma and hadronic codes. along with the fundamental concept and the equipment hired, designated awareness 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 scientific physics.
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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
Or How to Provide Code Without Funding or Manpower Until the Accelerator Production of Tritium (APT) project arrived (and the MCNPX development program), the LANL code development effort was strictly a low-budget operation and much dependent on the good will of others. " Detlef (Filges), could you send me ... " Alfredo (Ferrari), may I please use your ... " Nikolai (Mokhov), ... ses to be improved, so perhaps we have also given something back to the international community. With that history in mind, this talk provides an opportunity to offer some thanks to those who, among many, directly and indirectly contributed to the LANL effort to establish a general Monte Carlo radiation transport capability: • • • • • • • 4 Tony Gabriel, Tut and Fran Alsmiller (ORNL) Tony Armstrong (SAIC) Yair Yariv (SOREQ) Detlef Filges and associates (Fz-Jiilich) Francis Atchison (PSI) Alfredo Ferrari and Paola Sala (CERN) Nikolai Mokhov (FNAL) Growing Codes High-energy transport codes of the world have evolved downward in energy toward our conventional neutron transport capability.
Furthermore, coherent scattering effects may invalidate the trajectory model. The generation of secondary radiation, not only knock-on electrons (delta-rays) but also Auger electrons and characteristic x-rays that are emitted after inner-shell impact ionization, is another important feature that needs careful consideration in low-energy simulations. References 1.
Assume that the k-th interval is selected (ck-1 S ~ < ck), then 6 = (~ - Ck-1)/(ck - ck): U(O, 1), (5) and independent from~· This simple rule has prevented a tremendous amount of random numbers from having been generated and made an almost equally large number of montecarlists happy. 3 Generating Random Walks The very essence of transport Monte Carlo is the generation of the particles' histories. Efficient techniques have been developed suprisingly fast and very little has been added to this art since the early age of Monte Carlo.