Collimator development and Monte Carlo characterisation
Effects of collimator backscatter in an Elekta linac by Monte Carlo simulation
... This work was funded by the National Health and Medical Research Council (NHMRC), through a project grant. The authors would especially like to thank Paul Charles of the 309 Princess Alexandra Hospital, Brisbane, ...
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Development and Validation of a Multi-Leaf Collimator Component Module Using a Modified EGSnrc Platform for Monte Carlo Simulations
... The Monte Carlo simulation of electromagnetic radiation As applied to radiotherapy and dosimetry, the Monte Carlo method provides a solution method to the Boltzmann transport equation that can ...
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Development and Applications of Quantum Monte Carlo
... Quantum Monte Carlo has the potential to beome a very important tool for omputational sientists. The high auray of QMC ombined with its ability to eÆiently use the next generation of omputational resoures ...
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Evaluation of the performance of parallel-hole collimator for high resolution small animal SPECT: A Monte Carlo study
... In order to survey the performance of the newly developed HiReSPECT camera, the geometric, penetration and scatter components for the HiReSPECT collimator at different [r] ...
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Development of Monte Carlo Methods in Hypersonic Aerodynamics
... the Monte Carlo method is based on the central limit theorem, which states that, the random quantity equal to the sum of a large number of random variables with the same expectation m and the same ...
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Four essays on sequential Monte Carlo and quasi-Monte Carlo methods
... the development of sequential estimation methods for state-space models in a direction which has been almost unexplored until now, namely the introduction of quasi-Monte Carlo (QMC) ideas inside the ...
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Development of Schedule Reserve Using Monte Carlo Simulation
... Case III develops the 85th confidence value from the Monte Carlo simulation. As Kindinger (1999) explains, the individual independent distributions cannot be simply added to obtain the corresponding ...
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Phantom and clinical evaluation of the effect of full Monte Carlo collimator modelling in post-SIRT yttrium-90 Bremsstrahlung SPECT imaging
... MC collimator modelling increased the CR values and, in a number of cases, this difference was significant ...“Utrecht Monte Carlo System” has shown, using one acquisition of the NEMA IQ phantom, ...
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OpenMC: A State-of-the-Art Monte Carlo Code for Research and Development
... and development related to OpenMC has focused on scalable parallel ...the development of two algorithms which have enabled nearly linear scaling to over 100,000 pro- ...
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Energy Study of Monte Carlo and Quasi-Monte Carlo Algorithms for Solving Integral Equations
... the development of exascale computing technology necessitated to obtain an estimate for the energy consumption when large-scale problems are solved with different high-performance computing (HPC) ...of Monte ...
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Sequential Monte Carlo with transformations
... 5 Conclusions This paper introduces a sequential technique for Bayesian model comparison and parameter estimation, and an appr- oach to online parameter and marginal likelihood estimation for the coalescent, underpinned ...
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Introduction to the Monte Carlo method
... the Monte Carlo method for evaluating complicated mathematical integrals that arise in the theory of nuclear chain reactions (not knowing that Enrico Fermi and others had used a similar method ...systematic ...
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A MONTE CARLO STUDY
... From the random data we will generate the simulation of tree charged tracks in coplanar position.. SIMULATION.[r] ...
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Monte Carlo Simulation
... We know from Discrete Time Finance that one can compute a fair price for an option by taking an expectation.. E Q e − rT X.[r] ...
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Monte Carlo Simulation
... Correlation of Inputs In Monte Carlo simulation, it’s possible to model. interdependent relationships between input variables[r] ...
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Monte Carlo Computability
... 4. Nash is the problem that maps a bi-matrix game (A, B) ∈ R m×n × R m×n to one of its Nash equilibria [23] and is Las Vegas computable [8]. 5. Sorting stands for the problem SORT 2 : 2 N → 2 N of sorting a binary ...
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Monte Carlo methods
... 5 Conclusion and the Monte Carlo ladder We reviewed basic Monte Carlo ideas and methods, along with some advanced ones like adaptive MCMC. We tried to give intuition for picking the right ...
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Monte Carlo Simulation
... • @ RISK Monte Carlo simulation is an ideal approach for valuing both real and financial options – most of the books and literature focus on binomial modelling – Excel example of mult[r] ...
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Monte Carlo Simulation
... ∗ Credit Suisse; Poisson mixture model – Copula models like the t-copula model. ∗ general family; Gaussian mixture like t-copula particularly tractable.[r] ...
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