The first results of multiple scattering simulations of polarized high-energy X-rays for Compton experiments using a new Monte Carlo program, MUSCAT, are presented. The program is developed to follow the restrictions ...
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The first results of multiple scattering simulations of polarized high-energy X-rays for Compton experiments using a new Monte Carlo program, MUSCAT, are presented. The program is developed to follow the restrictions of real experimental geometries. The new simulation algorithm uses not only well known photon splitting and interaction forcing methods but it is also upgraded with the new propagation separation method and highly vectorized. In this paper, a detailed description of the new simulation algorithm is given. The code is verified by comparison with the previous experimental and simulation results by the ESRF group and new restricted geometry experiments carried out at SPring-8.
The first results of multiple scattering simulations of polarized high-energy X-rays for Compton experiments using a new Monte Carlo program, MUSCAT, are presented. The program is developed to follow the restrictions ...
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The first results of multiple scattering simulations of polarized high-energy X-rays for Compton experiments using a new Monte Carlo program, MUSCAT, are presented. The program is developed to follow the restrictions of real experimental geometries. The new simulation algorithm uses not only well known photon splitting and interaction forcing methods but it is also upgraded with the new propagation separation method and highly vectorized. In this paper, a detailed description of the new simulation algorithm is given. The code is verified by comparison with the previous experimental and simulation results by the ESRF group and new restricted geometry experiments carried out at SPring-8.
The research situation of methods about the logistics strategy optimization and simulation modeling was introduced. The optimization and control strategy of multi-level inventory were discussed to deal with uncertain ...
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The research situation of methods about the logistics strategy optimization and simulation modeling was introduced. The optimization and control strategy of multi-level inventory were discussed to deal with uncertain factor which affect multi-level inventory management. The simulation algorithm of system was designed using discrete event simulation method.
We introduce a new algorithm for generating simulation relations between nonlinear control systems that are affine in inputs and disturbances and provide precise mathematical conditions ensuring that the algorithm wor...
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We introduce a new algorithm for generating simulation relations between nonlinear control systems that are affine in inputs and disturbances and provide precise mathematical conditions ensuring that the algorithm works as intended. In addition, we prove that under appropriate conditions, making the "right choices" in the algorithm leads to a maximal simulation relation. Finally, we construct several illustrative examples showing in detail how the algorithm works in specific instances and also indicate some of the limitations of the algorithm.
A time-reversible algorithm for the rotation of rigid body in the quaternion representation named "Improved Fast Time-reversible algorithm(IFT)" is *** a preceding paper,we have proposed "Fast Time-reve...
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ISBN:
(纸本)9781510811980
A time-reversible algorithm for the rotation of rigid body in the quaternion representation named "Improved Fast Time-reversible algorithm(IFT)" is *** a preceding paper,we have proposed "Fast Time-reversible algorithm(FT)" that is not only time reversible but also conserves the total energy well and one of the simplest time reversible ***,the algorithm involves a square root,which yields the risk of computer crash at extreme high *** IFT gets rid of the risk of crash and the stability is no less than the Fast Timereversible *** IFT can be used more widely than *** also introduce some results concerning quasi liquid layer obtained from large-scale *** simulations were performed by the use of IFT algorithm.
Deliberate struvite (MgNH4PO4) precipitation from wastewater streams has been the topic of extensive research in the last two decades and is expected to gather worldwide momentum in the near future as a P-reuse techni...
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Deliberate struvite (MgNH4PO4) precipitation from wastewater streams has been the topic of extensive research in the last two decades and is expected to gather worldwide momentum in the near future as a P-reuse technique. A wide range of operational alternatives has been reported for struvite precipitation, including the application of various Mg(II) sources, two pH elevation techniques and several Mg:P ratios and pH values. The choice of each operational parameter within the struvite precipitation process affects process efficiency, the overall cost and also the choice of other operational parameters. Thus, a comprehensive simulation program that takes all these parameters into account is essential for process design. This paper introduces a systematic decision-supporting tool which accepts a wide range of possible operational parameters, including unconventional Mg(II) sources (i.e. seawater and seawater nanofiltration brines). The study is supplied with a free-of-charge computerized tool ( [GRAPHICS] ) which links two computer platforms (Python and PHREEQC) for executing thermodynamic calculations according to predefined kinetic considerations. The model can be (inter alia) used for optimizing the struvite-fluidized bed reactor process operation with respect to P removal efficiency, struvite purity and economic feasibility of the chosen alternative. The paper describes the algorithm and its underlying assumptions, and shows results (i.e. effluent water quality, cost breakdown and P removal efficiency) of several case studies consisting of typical wastewaters treated at various operational conditions.
In this paper we describe a simple method for inferring the initial states of systems evolving stochastically according to master equations, given knowledge of the final states This is achieved through the use of a re...
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In this paper we describe a simple method for inferring the initial states of systems evolving stochastically according to master equations, given knowledge of the final states This is achieved through the use of a retrodictive stochastic simulation algorithm which complements the usual predictive stochastic simulation approach We demonstrate the utility of this new algorithm by applying it to example problems. including the derivation of likely ancestral states of a gene sequence given a Markovian model of genetic mutation (C) 2010 Elsevier Inc. All rights reserved
The first significant digit patterns arising from a mixture of uniform distributions with a random upper bound are revisited. A closed-form formula for its first significant digit distribution (FSD) is obtained. The o...
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The first significant digit patterns arising from a mixture of uniform distributions with a random upper bound are revisited. A closed-form formula for its first significant digit distribution (FSD) is obtained. The one-parameter model of Rodriguez is recovered for an extended truncated Pareto mixing distribution. Considering additionally the truncated Erlang, gamma and Burr mixing distributions, and the generalized Benford law, for which another probabilistic derivation is offered, we study the fitting capabilities of the FSD's for various Benford like data sets from scientific research. Based on the results, we propose the general use of a fine structure index for Benford's law in case the data is well fitted by the truncated Erlang member of the uniform random upper bound family of FSD's. (C) 2015 Elsevier Ltd. All rights reserved.
Accelerated stormwater runoff creates environmental problems in many urban communities. Methods of reducing runoff for individual residences are available, but are often recommended without sufficient analysis. For ex...
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Accelerated stormwater runoff creates environmental problems in many urban communities. Methods of reducing runoff for individual residences are available, but are often recommended without sufficient analysis. For example, many states provide guidance on creating rain gardens, but few include information about how well rain gardens actually work. An analysis algorithm is presented to evaluate rain garden effectiveness at reducing stormwater runoff by promoting infiltration, evaporation, and evapotranspiration. Example simulations are presented based on an Ohio meteorological record. Results indicate that garden effectiveness is dominated by infiltration. Evaporation and evapotranspiration play minor roles in reducing runoff. Results also indicate that current rain garden design recommendations are often too conservative. Even for low permeability soils, rain gardens can be more effective than currently assumed. Common depth recommendations are reasonable, but area recommendations are also conservative. Residential rain gardens have a much better chance of reducing stormwater runoff than rain barrels. Their design recommendations should be revised to concentrate less on garden flora and more on the properties that promote desirable hydrologic performance. (C) 2015 American Society of Civil Engineers.
This paper proposes a simulation algorithm to assess the gradual yellowing vision of the elderly, which refers to the predominance of yellowness in their vision due to aging of the ocular optic media. This algorithm e...
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This paper proposes a simulation algorithm to assess the gradual yellowing vision of the elderly, which refers to the predominance of yellowness in their vision due to aging of the ocular optic media. This algorithm employed the spectral transmittance property of a yellow filter to represent the color appearance perceived by elderly people with yellow vision, and modeled the changes in the color space through a spectrum change in light using the yellow filter effect. The spectral reflectivity data of 1269 Munsell matte color chips were used as reference data. Under the standard conditions of a D65 illuminant and a 10 observer of 1964 CIE, the spectrum of the 1269 Munsell colors were processed through the yellow filter effect to simulate yellow vision. Various degrees of yellow vision were modeled according to the transmittance percentage of the yellow filter. The color differences before and after the yellow filter effect were calculated using the DE2000 formula, and the color pairs were selected based on the color difference function. These color pairs are distinguishable through normal vision, but the color difference diminishes as the degree of yellow vision increases. Assuming 80% of yellow vision effect, 17 color pairs out of (1269x1268)/2 pairs were selected, and for the 90% of yellow vision effect, only 3 color pairs were selected. The result of this study can be utilized for the diagnosis system of gradual yellow vision, making various types of test charts with selected color pairs.
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