: Frank Graziani
: Frank Graziani
: Computational Methods in Transport Granlibakken 2004
: Springer-Verlag
: 9783540281252
: 1
: CHF 113.90
:
: Allgemeines, Lexika
: English
: 539
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF
Thereexistawidera geofapplicationswhereasigni?c ntfractionofthe- mentum and energy present in a physical problem is carried by the transport of particles. Depending on the speci?capplication, the particles involved may be photons, neutrons, neutrinos, or charged particles. Regardless of which phenomena is being described, at the heart of each application is the fact that a Boltzmann like transport equation has to be solved. The complexity, and hence expense, involved in solving the transport problem can be understood by realizing that the general solution to the 3D Boltzmann transport equation is in fact really seven dimensional: 3 spatial coordinates, 2 angles, 1 time, and 1 for speed or energy. Low-order appro- mations to the transport equation are frequently used due in part to physical justi?cation but many in cases, simply because a solution to the full tra- port problem is too computationally expensive. An example is the di?usion equation, which e?ectively drops the two angles in phase space by assuming that a linear representation in angle is adequate. Another approximation is the grey approximation, which drops the energy variable by averaging over it. If the grey approximation is applied to the di?usion equation, the expense of solving what amounts to the simplest possible description of transport is roughly equal to the cost of implicit computational ?uid dynamics. It is clear therefore, that for those application areas needing some form of transport, fast, accurate and robust transport algorithms can lead to an increase in overall code performance and a decrease in time to solution.
Contents5
Introduction12
I Astrophysics17
Radiation Hydrodynamics in Astrophysics18
1 De.ning Radiation Hydrodynamics Terms18
2 Schemes Used in Astrophysics19
3 Astrophysical Applications21
4 SPH Radiation Transport25
References28
Radiative Transfer30
in Astrophysical Applications30
1 Introduction30
2 Description of Radiation31
3 Absorption, Emission and Scattering Coe.cients32
4 Hierarchies of Approximations35
5 General Problem39
6 Exact Numerical Solution41
7 Conclusions47
References47
Neutrino Transport49
in Core Collapse Supernovae49
1 The Core Collapse Supernova Paradigm49
2 The54
Neutrino Transport Equation54
in Spherical Symmetry: An Illustrative Example54
3 Finite Di.erencing of the56
Neutrino Transport56
Equation56
in Spherical Symmetry56
4 The General Case: The Multidimensional Neutrino69
Transport Equations69
5 Boltzmann Neutrino Transport:73
The Current State of the Art73
6 Previews of Coming Distractions:77
Neutrino Flavor Transformation77
7 Summary and Prospects79
Acknowledgments80
References81
Discrete-Ordinates Methods83
for Radiative Transfer83
in the Non-Relativistic Stellar Regime83
1 Introduction83
2 The Approximate Radiation-Hydrodynamics Model83
3 Discretization and Solution Techniques87
References94
II Atmospheric Science, Oceanography, and Plant Canopies96
Effective Propagation Kernels in Structured Media with Broad Spatial Correlations, Illustration with Large-Scale Transport of Solar Photons Through Cloudy Atmospheres97
1 Introduction and Overview97
2 Extinction and Scattering Revisited, and Some Notations Introduced100
3 Propagation108
4 Multiple Scattering and Di.usions126
5 Large-Scale 3D RT E.ects in Cloudy Atmospheres134
6 Concluding Remarks146
Acknowledgments and Dedication148
References148
Mathematical Simulation of the Radiative Transfer in Statistically Inhomogeneous Clouds153
1 Introduction153
2 Stochastic RT Equation154
3 Statistically Inhomogeneous Model155
4 Ensemble Averaged Radiance156
5 Validation158
6 Summary159
Acknowledgments160
References160
Transport Theory for Optical Oceanography162
1 Introduction162
2 Aspects Requiring Special Computational Attention167
3 Computational Programs170
4 Computing Challenges172
References172
Perturbation Technique in 3D Cloud Optics: Theory and Results175
1 Introduction175
2 Definition of the Problem175
3 Variational Principe to Derive the Radiative Transfer Equation176
4 Perturbation177
5 A Toy Example178
References180
Vegetation Canopy Re.ectance Modeling with Turbid Medium Radiative Transfer182
1 Introduction182
2 Description of the LCM2 Coupled Leaf/Canopy Radiative Transfer (RT) Model189
3 LCM2 Demonstration205
References219
Rayspread: A Virtual Laboratory for Rapid BRF Simulations Over 3-D Plant Canopies220
1 Canopy Radiation Transfer Fundamentals221
2 The Rayspread Model228
3 Conclusion236
References237
III High Energy Density Physics241
Use of the Space Adaptive Algorithm to Solve 2D Problems of Photon Transport and Interaction with Medium242
1 Introduction242
2 Statement of a 2D Transport Equation243
3 Description of 2D Transport Equation245
Approximation Methods245
4 Description of the Space Adaptive Computational245
Algorithm for Transport Equation245
5 Results of Computational Investigations247
of the Adaptive Method Performance247
6 Conclusion258
References261
Accurate and E.cient Radiation Transport in Optically Thick Media by Means of the Symbolic Implicit Monte Carlo Method in the Di.erence Formulation*262
1 Introduction262
2 Radiation Transport in LTE265
3 The Di.erence Formulation268
4 Test Problems275
5 Summary and Directions for Further Work284
Acknowledgement287
References287
An Evaluation of the Di.erence Formulation for Photon Transport in a Two Level System*290
1 Introduction290
2 The Equations for Line Transport292
3 Numerical Development296
4 Numerical Results in the Gray Approximation302
5 Concluding Remarks311
References312
Non-LTE Radiation Transport in High Radiation Plasmas314
1 Introduction314
2 Non-LTE Energetics316
3 Radiation Transport318
4 Test Case: Radiation-driven Cylinder323
5 Linear Response Matrix329
6 Summary331
Acknowledgments331
References332