... accurate knowledge of dose distribution Unfortunately, commissioning a MonteCarlo based radiotherapy tool for dosimetric calculation typically requires either direct simulationof the medical linear ... [2-4]) A new, proprietary MonteCarlo based system, NXEGS, provides an automated alternative to traditional commissioning NXEGS is a suite ofMonteCarlo applications for radiotherapy, which are ... spectral characteristics Methods We have commissioned NXEGS 1.0.10.0 software for MonteCarlosimulationof the electron beams of a Varian Clinac 2100C medical accelerator with nominal energies...
... evaluation of the kinetic parameters in the presence of stearate Evaluation of kinetic parameters Fig Comparison of three models for the catalytic action of plasmin in the presence of stearate ... Light attenuation of oleic acid micelles in the presence of synthetic plasmin substrate (A) Twenty microlitres of mM Spectrozyme-PL was added to 180 lL of various concentrations of oleic acid (the ... Kinetic parameters of plasmin in the presence of fatty acids The values of kp and Km were determined from the amidolytic assay of plasmin activity, according to Model I, in the presence of oleate (OA)...
... activity of 370 MBq (10 mCi) in a disk shape (having overall diameter of mm, overall thickness of mm, active diameter of 4.2 mm, beryllium window with thickness of mm) is placed in well of the ... of Science, Mathematics - Physics 26 (2010) 43-49 47 Proccessing of the measured results and drawing of graphs are done by software of Origin The fitted equations and saturation thicknesses of ... / VNU Journal of Science, Mathematics - Physics 26 (2010) 43-49 includes two parts: i) the theoretical simulationof measuring intensity for thickness of materials by the system of MYO-101 with...
... Journal of Science, Mathematics - Physics 23 (2007) 9-14 101 Fig.1 The confguration of the HP Ge (GMX) detector Relating to the physical dimensions of the above detector the thickness of the dead ... difference Conclusion The problem of photon self-absorption in gamma spectrometry of environmental samples has no simple solution because of the attenuation of photons depending on many various ... detector’s active part Monte- Carlo modeling allows to take into consideration all these corrections during computation In this paper, the modeling calculation of peak efficiencies of the hyperpure...
... take advantage of this simple and useful tool in managing project risks and uncertainties O verview ofMonteCarlosimulation Brief history ofMonteCarlosimulation The MonteCarlosimulation encompasses ... use ofMonteCarlo simulations of molecular systems belonging to complex energetic landscapes, and offered a new approach to improve the convergence of these simulations Other areas ofMonteCarlo ... retirement has begun Application ofMonteCarlosimulation in project management Review ofMonteCarlosimulation applications in project management MonteCarlo simulation, while not yet widely...
... available simulation add-in for Excel is Crystal Ball 2000, which will be used in this example How did MonteCarlosimulation get its name? MonteCarlosimulation was named for Monte Carlo, Monaco, ... that you can analyze This is where MonteCarlosimulation comes in handy WHAT IS MONTECARLO SIMULATION? What we mean by "simulation? " When we use the word simulation, we refer to any analytical ... difficult to reproduce MonteCarlosimulation is a form ofsimulation that randomly generates values for uncertain variables over and over to simulate a model Without the aid of simulation, a spreadsheet...
... Simulation and MonteCarloSimulation and MonteCarlo With applications in finance and MCMC J S Dagpunar School of Mathematics University of Edinburgh, UK Copyright ... ([profit]), TITLE (‘‘Plot of Average profit per day against number of skips’’), AXESLABELS (‘‘skips’’, ‘‘profit per day’’), AXESSTYLE(BOX)); Plot of Average profit per day against number of skips ... ‘becomes equal to’ The value of the expression to the right of = is assigned to the variable or parameter to the left of = 1 Introduction to simulation and MonteCarlo A simulation is an experiment,...
... number ofMonteCarlo trials should be select‐ ed – step (d) Generally, the greater the number ofsimulation trials, the greater the conver‐ 33 34 Theory and Applications ofMonteCarlo Simulations ... 10 Kinetic MonteCarloSimulation in Biophysics and Systems Biology 227 Subhadip Raychaudhuri Chapter 11 Detection of Breast Cancer Lumps Using Scattered X-Ray Profiles: A MonteCarloSimulation ... measurement" – Propagation of distribu‐ tions using a MonteCarlo method) is responsible to give practical guidance on the applica‐ tion ofMonteCarlo simulations to the estimation of uncertainty [4]...
... propose a variation of the UCT algorithm for paraphrase generation named MCPG for MonteCarlo based Paraphrase Generation The main part of the algorithm is the sampling step An episode of this step is ... an efficient generation algorithm Monte- Carlo based Paraphrase Generation UCT (Kocsis and Szepesvári, 2006) (Upper Confidence bound applied to Tree) is a Monte- Carlo planning algorithm that have ... sampling regularly after a fixed amount η of episodes Our main adaptation of the original algorithm is in the (state, action) value updating procedure Since the goal of the algorithm is to maximise a...
... example, a MonteCarlo calculation of the seating patterns of the members of an audience in an auditorium may This presupposes that all uses of the MonteCarlo are for the purposes of understanding ... uit i on an intuition MONTECARLO THEORY verification Practical results Figure 1.6: The role ofMonteCarlo methods in applied science 1.1 Why is Monte Carlo? If MonteCarlo did not exist there ... MONTECARLO Basic understanding Figure 1.2: The role ofMonteCarlo methods in basic science possible, as in the example of Figure 1.1 where two people can not occupy the same seat, a Monte Carlo...
... in out of the 100 MonteCarlo trials, whereas the RS tracker diverged in out of 100 runs When we increased the PTCR to 8.1 dB, the divergence rates fell to out of 100 for the APF, and out of 100 ... then the MonteCarlo estimate, Pr({zn = 0} | y1:n ), of the posterior probability of target absence by dividing the number of particles for which ( j) zn = by the total number of particles N ... estimation errors recorded in each of the 100 MonteCarlo trials, excluding the divergent realizations Our simulation results suggest that, despite the reduction in the number of particles from 8000 to...
... ξξ T σk , with (14) Sequential MonteCarlo (SMC) is a family of methodologies that use MonteCarlo simulations to efficiently estimate the a posteriori distributions of the unknown states in a dynamic ... the derivation of a blind detector based on a Bayesian formulation and sequential MonteCarlo (SMC) techniques for the differentially encoded OFDM system Being soft-input and soft-output in nature, ... (e) WER of information bits probabilities, is developed using sequential MonteCarlo (SMC) techniques Being soft-input and soft-output in nature, the proposed SMC detector is capable of exchanging...
... place in the entire field ofMonteCarlosimulation This long-awaited second edition gives a fully updated and comprehensive account of the major topics in MonteCarlosimulation The book is based ... 80 CONTENTS ix Simulationof Discrete-Event Systems 81 3.1 Simulation Models 3.1.1 Classification ofSimulation Models Simulation Clock and Event List for DEDS Discrete-Event Simulation 3.3.1 ... analysis and MonteCarlo optimization of simulated systems Because of their complexity, the performance evaluation of discrete-event systems is usually studied by simulation, and it is often associated...