By Shlomo Mark, Shaul Mordechai, Editors
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Additional info for Applications of Monte Carlo Method in Science and Engineering
Hirayama H. (1985). The EGS4 Code System, Stanford Linear Accelerator Report SLAC-265, Stanford, CA 94305 S. Agostinelli et al. (2003). Geant4 - A Simulation toolkit, Nuclear Instruments and Methods A 506, pp. 250-303 H. Morneburg (1995). Bildgebende Systeme für die Medizinische Diagnostik, SIEMENS Publicis MCD Verlag, ISBN 978-3895780028 J. L. L. Van Metter (2000). Handbook of Medical Imaging, Volume 1, SPIE Press, Bellington, Washington, USA, ISBN 0-8194-3621-6 J. Giersch & A. Weidemann (2003).
3. GATE-Lab - simulation monitoring. Simulation status is monitored in real time and outputs are accessible with an URL. automatically forecast and the user who submits the simulation is the best person to estimate it. Nevertheless, he or she does not need to have the grid knowledge allowing to choose the right number of tasks for the application parallelization. The GATE-Lab integrates a mapping between the time estimation given by the end user and the number of tasks to submit. At the moment, the mapping corresponds to a minimum of 5 jobs for short simulations (a few minutes) and goes to a maximum of 500 jobs for simulations lasting more than a day.
When the laser switches on one of the multiple trapping positions, the conﬁned Brownian motion of a trapped bead is simulated using Monte Carlo technique. Because the fast beam deﬂection is very well achieved by the use of AOD or high speed scanning mirror and the rise time to produce different trap positions is of the order of μs, which is smaller than the trap switching periodicity of several orders, the rise time is neglected in our simulation model as a proper assumption. Due to the limited bandwidth of recent detectors, it is a great challenge to investigate the effective stiffness of TSOT under a broad range of frequency domain.
Applications of Monte Carlo Method in Science and Engineering by Shlomo Mark, Shaul Mordechai, Editors