... techniques, the direct approach, the rejection tech-nique and the mixed method that combines the two. Then, we we go through a smallcatalogue of examples.3512 CHAPTER 1. WHAT IS THEMONTECARLO METHOD? are ... measurement, theory and Monte Carlo. MonteCarlo is often seen as a “competitor” toother methods of macroscopic calculation, which we will call deterministic and/or analyticmethods. Although the proponents ... BIBLIOGRAPHY1.1. WHY IS MONTE CARLO? 7EXPERIMENTTHEORY MONTE CARLO Applied SciencePractical resultsintuitionintuitionanalysisverificationFigure 1.6: The role of MonteCarlo methods in applied...
... present theMonte Carlo techniques, the stochastic process basics, and the theoretical background andintuition behind financial and actuarial mathematics. This has the advantagethat the standard Monte ... parallelization of the generation of random numbers are also touched andare important for speeding up MonteCarlo methods.This chapter is followed by an introduction to theMonteCarlo method, its theoretical ... with several Monte Carlo Methods and Models in Finance and Insurance34 MonteCarlo Methods and Models in Finance and InsuranceAlgorithm 2.9 Acceptance-rejection method Let the densities...
... cover over the front of the detector - The shielding to decrease the response of photons from the other locations from the desired source - The air between the source and detector The peak ... 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 layer lying at the back of the detector crystal ... the counting efficiency of the detector after correcting for the loss of photons in the sample itself and all other materials between the sample and the detector’s active part. Concerning the...
... estimates werefurther analyzed for better implementation of the experimental error. The application of error models Pki;jin theMonteCarlo simulations has the advantage over the real error ... III, in the presence of stearate (SA). Using theMonteCarlo proceduredescribed in the Materials and methods, 1000 synthetic samplesets were generated for each experimental setting and the esti-mated ... as described in the Materials and methods. The numbers next to the curves indicate the goodness-of-fit (ffiffiffiffiffiv2p.N) for the parameter optimization proce-dure, according to the respective...
... that too frequently form the staple of the weather about the festive time of Christmas and the opening of the new year, for the bright clear skies and sunny days of the south of France and Italy, ... In some of them the electric light is used. The French people dearly love their cafés, spending many of their evening hours there instead of chez eux. I am not quite sure whether the Frenchman ... on the land side, by high hills rising from the water's edge, and beautifully timbered. The walk from Nice to Villafranca, either by way of the sea, along the face of the rocks, where the...
... materials, but the low efficiency [1]. Therefore, in order to support and compare them with experimental results, research method of MonteCarlo simulation by code of MCNP (Monte Carlo N-Particles) ... Am-241 source, by Monte- Carlo simulation using the code of MCNP. The simulation was checked by experimental measurements. The results were shown that they were in accordance with the range of error. ... increased further when increasing continuously the thicknesses. In the case of using source of Am-241, the light materials to be used commonly for measuring their thicknesses (based on the scattering...
... time, while their accuracy is limited only by the approximations made in the representations of interaction cross sections. MonteCarlo methods should then be a boon to the radiotherapy community, ... fact the result of two consecutive stochastic processes, namely the generation of the beam model from the commissioning set and the simulation of the beam with the model. It is of interest, therefore, ... transported through the applicator to the phantom surface by a direct MonteCarlo method, while dose deposition in the phantom at control points is calculated by a pencil beam method. Robust analytic...
... điều mới mẻ từ các định luật vật lý cơ bản. Thuật ngữ MonteCarlo được đặt ra bởi S.Ulam and Nicholas Metropolis. Mô phỏng MonteCarlo là một phương pháp đánh giá lặp đi lặp lại một mô ... của điện trường ngoài. Khi đó, nói chung các lưỡng cực điện định hướng có thứ tự hơn theo hướng ưu tiên dọc theo chiều của điện trường. Mức độ trật tự của sự sắp xếp các lưỡng cực điện quyết ... hướng (hệ quả của trao đổi hiệu dịch) để ghim từ độ của lớp sắt từ cứng theo một hướng, nếu không từ độ này cũng thay đổi theo từ trường và trạng thái điện trơ thấp và cao không còn rõ ràng dẫn...
... pháp mô phỏng Monte Carlo. Ở Viện Vật lý và Điện tử (Viện Khoa học và Công nghệ Việt Nam), có nhóm Lê Hồng Khiêm, Nguyễn Văn Đỗ, Phạm Đức Khuê xây dựng chương trình mô phỏng MonteCarlo để nghiên ... trình mô phỏng MonteCarlo để tái tạo ảnh cho vật sử dụng hiệu ứng tán xạ ngược Compton; Bùi Thanh Lan, Lê Hồng Khiêm, Chu Đình Thúy, Nguyễn Quang Hùng biến đổi ngược mô phỏng MonteCarlo để xác ... Ti-Zhu Li, Di Yun đã dùng Montecarlo mô phỏng hàm đáp ứng của detector nhấp nháy NaI(Tl).[13] Năm 2002, Henndriks, Maucec, Meiger, bằng chương trình mô phỏng MonteCarlo MCNP4C đã mô phỏng...