3 edition of Reverse Monte Carlo simulations of microwave radiative transfer in realistic 3-D rain clouds found in the catalog.
Reverse Monte Carlo simulations of microwave radiative transfer in realistic 3-D rain clouds
by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va
Written in English
|Statement||Grant W. Petty, Alberto Mugnai, Eric A. Smith.|
|Series||[NASA contractor report] -- NASA-CR-202495., NASA contractor report -- NASA CR-202495.|
|Contributions||Mugnai, Alberto., Smith, Eric A., United States. National Aeronautics and Space Administration.|
|The Physical Object|
Y. Alhassid, A. Mukherjee, H. Nakada and C. Ozen, Recent developments in the shell model Monte Carlo approach to nuclei, Journal of Physics: Conference Series , () C. Ozen, Y. Alhassid and H. Nakada, Crossover from vibrational to rotational collectivity in heavy nuclei in the shell-model Monte Carlo approach, Phys. Rev. Lett. Simulations of Ising models by Jouke Heringa The Ising model The Ising model is a simple model to study phase transitions. So-called spins sit on the sites of a lattice; a spin S can take the value +1 or These values could stand for the presence or absence of .
() Validation of a Monte Carlo Integral Formulation Applied to Solar Facility Simulations and Use of Sensitivities. Journal of Solar Energy Engineering () Optimization method, choice of form and uncertainty quantification of Model B4 using laboratory and multi-decade bridge by: EU ACADEMY OF SCIENCES ANNUAL REPORT 3 57 Vehicle - Bridge Interaction Dynamics and Applications. by Prof. Y. B. Yang, Member EUAS 61 Systems Analysis of Multiple Steady Behavior in Glucose Metabolism. by Prof. Wei-Shou Hu, Member EUASFile Size: 4MB.
Download this file. lines ( with data), MB. Simulations of Ising models This is a copy of a Superb Ising model site from TU Delft. The Ising model The Ising model is a simple model to study phase transitions. So-called spins sit on the sites of a lattice; a spin S can take the value +1 or
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Get this from a library. Reverse Monte Carlo simulations of microwave radiative transfer in realistic 3-D rain clouds. [Grant W Petty; Alberto Mugnai; Eric A Smith; United States.
National Aeronautics and Space Administration.]. Huge amount of work has been performed concerning the solution of radiative transfer with Monte-Carlo methods. A non-exhaustive list of published literature include [46,47,48,49, 50, 51].Author: Michael Modest.
Monte Carlo method has been developed for the solution of the radiative transfer equation to include a full treatment of the Stokes parameters. In the process of obtaining an efficient forward Monte Carlo code, four different Monte Carlo methods have been developed and are described in the following sections: 1) a 3.
Non-polarized direct monte carlo method. The first step of the work was to develop a non-polarized forward Monte Carlo code competitive in terms of speed of convergence with a backward 3-D Monte Carlo code previously developed and tested.
For this and the following codes the medium is considered to be plane parallel, even if the methods Author: Laura Roberti. Intercomparison of microwave radiative transfer models for precipitating clouds. and reverse Monte Carlo consists in a 3-D radiative transfer model which is used to compute the slant path.
On the technical side of the problem, the accuracy of the radiative transfer model and the simulation of the radiometer’s imaging specifications are important. Most of the above effects have been described in the past thus a certain background for the generation of retrieval databases from radiative transfer simulations is : P.
Bauer. MONTE CARLO SOLUTION OF A RADIATIVE HEAT TRANSFER PROBLEM IN A 3-D RECTANGULAR ENCLOSURE CONTAINING ABSORBING, EMITTING, AND ANISOTROPICALLY SCATTERING MEDIUM Demirkaya, GökmenDeparment of Mechanical Engineering Supervisor: Prof.
Faruk Arınç December87 pages In this study, the application of a Monte Carlo method (MCM) for. Monte Carlo Radiative Transfer for Ocean Optics 3 G scattering phase function asymmetry factor ijˆˆ,kˆ unit vectors along x, y, and z axes L optical pathlength N index of refraction nˆ outward normal to a surface (unit vector) P cumulative distribution function (CDF) p probability density function (PDF) R irradiance ratio Rb seafloor albedo Ri internal reflectance at water-air interface.
Highlights Two multiple-scaling methods for Monte Carlo simulations were derived from integral radiative transfer equation for radiance calculations. For the first one, the quadratic functions replace forward peaks of anisotropic phase functions and a single prescribed parameter determines the maximum truncation fraction.
For the second one, collision chances are adaptively increased dependent Cited by: 3. This paper describes the radiative transfer model (RTM) MOCRA (MOnte Carlo Radiance Analysis), developed in the frame of DOAS (Differential Optical Absorption Spectroscopy) to correctly interpret remote sensing measurements of trace gas amounts in the atmosphere through the calculation of the Air Mass Factor.
Besides the DOAS-related quantities, the MOCRA code yields: 1- the atmospheric. Modeling photon propagation with Monte Carlo methods is a flexible yet rigorous approach to simulate photon transport.
In the method, local rules of photon transport are expressed as probability distributions which describe the step size of photon movement between sites of photon-tissue interaction and the angles of deflection in a photon's trajectory when a scattering event occurs.
Monte Carlo Methods with R: Basic R Programming  Basic R Programming More vector class > e=3/d build the numeric vector eof dimension 3 and elements 3/5, 3, –3/5 > log(d*e) multiply the vectors dand eterm by term and transform each term into its natural logarithm > sum(d) calculate the sum of d > length(d) display the length of dFile Size: KB.
IM3D: A parallel Monte Carlo code for efficient simulations of primary radiation displacements and damage in 3D geometry Yong Gang Li1,2,4, YangYang2, Michael P. Short2, Ze Jun Ding3, Zhi Zeng1,4 & Ju Li2 SRIM-like codes have limitations in describing general 3D geometries, for modeling radiation displacements and damage in nanostructured.
Monte Carlo simulation of radiation transport in human skin with rigorous treatment of curved tissue boundaries. Majaron B, Milanič M, Premru J. In three-dimensional (3-D) modeling of light transport in heterogeneous biological structures using the Monte Carlo (MC) approach, space is commonly discretized into optically homogeneous voxels by a Cited by: The 3-D polychromatic radiation field for an annular packed-bed photocatalytic reactor using alumina reticulated foams as a monolithic catalyst support was simulated using Monte Carlo methodology.
Monte Carlo simulation of the radiation field in a reticulated foam photocatalytic reactor. / Monte Carlo simulation of the radiation field Cited by: MONTE CARLO IN RADIATION THERAPY. The Monte Carlo techniques have been used in various branches of radiation therapy,[8,9] from simulation of radiation therapy equipments and sources to dose calculation in various geometries.[10–18] For simulation of the photon and electron particles one has to apply the physics of transport for modeling, which requires the knowledge of interactions of the.
PEREGRINE Monte Carlo dose calculation system for photon beams incident on a water phantom. Med. Phys. 28(7)3) D. Sheikh -Bagheri, D. W.O. Rogers, Sensitivity of megavoltage photon beam Monte Carlo simulations to electron beam and other parameters.
Med. Phys. 29(3), An electric field Monte Carlo (EMC) simulation directly traces the complex electric field vectors in multiple scattering and estimates the electric field in a preferred direction. The full vectorial nature of EMC makes it a powerful and flexible tool to simulate the coherence and polarization phenomena of light.
As a numerical method, EMC needs to launch a large number of photons to achieve an. MCVIEW: A Radiation View Factor Computer Program or Three-Dimensional Geometries Using Monte Carlo Method JAERI-M () - T.
Ikushima: CASKET: A Computer Code System for Thermal and Structural Analyses of Radioactive Material Transport and/or Storage Cask JAERI-Data/Code 98.
Daun et al.  incorporated Monte Carlo ray-tracing into a gradient-based optimization algorithm to design the geometry of a non-imaging process heat transfer furnace with the goal of uniformly irradiating the product being heat-treated. Optimization was carried out. continuous energy Monte Carlo method is well suited for solving such core environments with the detailed representation of the complicated 3-D problem.
The major advantages of the Monte Carlo method over the deterministic methods are the continuous energy treatment and the exact 3-D geometry modeling. However, the Monte Carlo methodCited by: Levin C S, Dahlbom M, Hoffman E J A Monte Carlo correction for the effect of Compton scattering in 3-D PET brain imaging.
IEEE Trans. Nucl. Sci. 42 Levkovitz R, Falikman D, and Wilk M The design and implementation of COSEM, an iterative algorithm for a fully 3D listmode data.() Monte Carlo criticality analysis of random media under bounded fluctuation driven by normal noise. Journal of Nuclear Science and Technology() A general class of multifractional processes and stock price by: