Academic literature on the topic 'Radiative transfer Monte Carlo method'

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Journal articles on the topic "Radiative transfer Monte Carlo method"

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Iwabuchi, Hironobu. "Efficient Monte Carlo Methods for Radiative Transfer Modeling." Journal of the Atmospheric Sciences 63, no. 9 (2006): 2324–39. http://dx.doi.org/10.1175/jas3755.1.

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Abstract Demands for Monte Carlo radiative transfer modeling have grown with the increase in computational power in recent decades. This method provides realistic simulations of radiation processes for various types of application, including radiation budgets in cloudy conditions and remote measurements of clouds, aerosols, and gases. Despite many advantages, such as explicit treatment of three-dimensional radiative transfer, issues of numerical efficiency can make the method intractable, especially in radiance calculations. The commonly used local estimation method requires computationally in
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Zhang, Jianing. "A guided Monte Carlo radiative transfer method using mixture importance sampling." Astronomy & Astrophysics 628 (August 2019): A105. http://dx.doi.org/10.1051/0004-6361/201935751.

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In order to investigate the source of uncertainties for the Monte Carlo radiative transfer method, a path space formulation is proposed which expresses the integral form of the radiative transfer equation. It has been determined that some of the uncertainties depend on the sampling of photon propagation directions. To reduce this kind of uncertainty, we propose a guided Monte Carlo (GMC) method based on a direction mixture importance sampling strategy for simulating radiative transfer in a scattering medium. We validated the GMC method by implementing it in a backward Monte Carlo radiative tra
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Howell, J. R. "The Monte Carlo Method in Radiative Heat Transfer." Journal of Heat Transfer 120, no. 3 (1998): 547–60. http://dx.doi.org/10.1115/1.2824310.

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The use of the Monte Carlo method in radiative heat transfer is reviewed. The review covers surface-surface, enclosure, and participating media problems. Discussion is included of research on the fundamentals of the method and on applications to surface-surface interchange in enclosures, exchange between surfaces with roughness characteristics, determination of configuration factors, inverse design, transfer through packed beds and fiber layers, participating media, scattering, hybrid methods, spectrally dependent problems including media with line structure, effects of using parallel algorith
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Baes, Maarten, Christian Peest, Peter Camps, and Ralf Siebenmorgen. "Optical depth in polarised Monte Carlo radiative transfer." Astronomy & Astrophysics 630 (September 23, 2019): A61. http://dx.doi.org/10.1051/0004-6361/201833796.

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Context. The Monte Carlo method is the most widely used method to solve radiative transfer problems in astronomy, especially in a fully general 3D geometry. A crucial concept in any Monte Carlo radiative transfer code is the random generation of the next interaction location. In polarised Monte Carlo radiative transfer with aligned non-spherical grains, the nature of dichroism complicates the concept of optical depth. Aims. We investigate, in detail, the relation between optical depth and the optical properties and density of the attenuating medium in polarised Monte Carlo radiative transfer c
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Modest, Michael F. "Backward Monte Carlo Simulations in Radiative Heat Transfer." Journal of Heat Transfer 125, no. 1 (2003): 57–62. http://dx.doi.org/10.1115/1.1518491.

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Standard Monte Carlo methods trace photon bundles in a forward direction, and may become extremely inefficient when radiation onto a small spot and/or onto a small direction cone is desired. Backward tracing of photon bundles is known to alleviate this problem if the source of radiation is large, but may also fail if the radiation source is collimated and/or very small. In this paper various implementations of the backward Monte Carlo method are discussed, allowing efficient Monte Carlo simulations for problems with arbitrary radiation sources, including small collimated beams, point sources,
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Gentile, N. A. "Implicit Monte Carlo Diffusion—An Acceleration Method for Monte Carlo Time-Dependent Radiative Transfer Simulations." Journal of Computational Physics 172, no. 2 (2001): 543–71. http://dx.doi.org/10.1006/jcph.2001.6836.

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Clouët, J. F., and G. Samba. "A Hybrid Symbolic Monte-Carlo method for radiative transfer equations." Journal of Computational Physics 188, no. 1 (2003): 139–56. http://dx.doi.org/10.1016/s0021-9991(03)00158-x.

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Chen, Y., and K. N. Liou. "A Monte Carlo method for 3D thermal infrared radiative transfer." Journal of Quantitative Spectroscopy and Radiative Transfer 101, no. 1 (2006): 166–78. http://dx.doi.org/10.1016/j.jqsrt.2005.10.002.

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Yong, Huang, Shi Guo-Dong, and Zhu Ke-Yong. "BACKWARD AND FORWARD MONTE CARLO METHOD IN POLARIZED RADIATIVE TRANSFER." Astrophysical Journal 820, no. 1 (2016): 9. http://dx.doi.org/10.3847/0004-637x/820/1/9.

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Shi, Yi, Shuanggui Li, Heng Yong, and Peng Song. "An Essentially Implicit Monte Carlo Method for Radiative Transfer Equations." Journal of Computational and Theoretical Transport 48, no. 5 (2019): 180–99. http://dx.doi.org/10.1080/23324309.2019.1678484.

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Dissertations / Theses on the topic "Radiative transfer Monte Carlo method"

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Gimeno, García Sebastián, and Thomas Trautmann. "Radiative transfer modelling in inhomogeneous clouds by means of the Monte Carlo Method." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-217371.

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The Monte Carlo (MC) method is an effective approach to simulate the radiative transfer in an inhomogeneous cloudy atmosphere. It is based on the direct physical simulation of the extinction processes that solar and thermal photons incur when traveling through the atmosphere. A detailed description of the MC method is presented in the second chapter. A new three-dimensional Monte Carlo radiative transfer model, based on a pre-existing model (Trautmann et al. [1999]), has been developed. Some outstanding characteristics of this model are discussed in chapter 3. Several simulations of reflectanc
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Gimeno, García Sebastián, and Thomas Trautmann. "Radiative transfer modelling in inhomogeneous clouds by means of the Monte Carlo Method." Universität Leipzig, 2003. https://ul.qucosa.de/id/qucosa%3A15234.

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The Monte Carlo (MC) method is an effective approach to simulate the radiative transfer in an inhomogeneous cloudy atmosphere. It is based on the direct physical simulation of the extinction processes that solar and thermal photons incur when traveling through the atmosphere. A detailed description of the MC method is presented in the second chapter. A new three-dimensional Monte Carlo radiative transfer model, based on a pre-existing model (Trautmann et al. [1999]), has been developed. Some outstanding characteristics of this model are discussed in chapter 3. Several simulations of reflectanc
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Wu, Yi 1960. "A MONTE CARLO SIMULATION OF NEAR INFRARED RADIATION TRANSFER IN CLOUDS." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276367.

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Larson, Rudolph Scott. "Computationally Efficient Modeling of Transient Radiation in a Purely Scattering Foam Layer." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1871.pdf.

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Sanchez, Maria Cristina. "Uncertainty and Confidence Intervals of the Monte Carlo Ray-Trace Method in Radiation Heat Transfer." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/29956.

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The primary objective of the work reported here is to develop a methodology to predict the uncertainty associated with radiation heat transfer problems solved using the Monte Carlo ray-trace method (MCRT). Four equations are developed to predict the uncertainty of the distribution factor from one surface to another, the global uncertainty of all the distribution factors in an enclosure, the uncertainty of the net heat flux from a surface, and the global uncertainty of the net heat flux from all the surfaces in an enclosure, respectively. Numerical experiments are performed to successfully vali
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Connolly, Kevin John. "A coarse mesh radiation transport method for prismatic block thermal reactors in two dimensions." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44823.

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In this paper, the coarse mesh transport method is extended to hexagonal geometry. This stochastic-deterministic hybrid transport method calculates the eigenvalue and explicit pin fission density profile of hexagonal reactor cores. It models the exact detail within complex heterogeneous cores without homogenizing regions or materials, and neither block-level nor core-level asymmetry poses any limitations to the method. It solves eigenvalue problems by first splitting the core into a set of coarse meshes, and then using Monte Carlo methods to create a library of response expansion coefficien
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Demirkaya, Gokmen. "Monte Carlo Solution Of A Radiative Heat Transfer Problem In A 3-d Rectangular Enclosure Containing Absorbing, Emitting, And Anisotropically Scattering Medium." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1059138/index.pdf.

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In this study, the application of a Monte Carlo method (MCM) for radiative heat transfer in three-dimensional rectangular enclosures was investigated. The study covers the development of the method from simple surface exchange problems to enclosure problems containing absorbing, emitting and isotropically/anisotropically scattering medium. The accuracy of the MCM was first evaluated by applying the method to cubical enclosure problems. The first one of the cubical enclosure problems was prediction of radiative heat flux vector in a cubical enclosure containing purely, isotropically and anis
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Zhai, Pengwang. "A fourth-order symplectic finite-difference time-domain (FDTD) method for light scattering and a 3D Monte Carlo code for radiative transfer in scattering systems." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1839.

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Dauchet, Jérémi. "Analyse radiative des photobioréacteurs." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00914315.

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L'ingénierie de la photosynthèse est une voie prometteuse en vue de produire à la fois des vecteurs énergétiques et des molécules plateformes pour palier la raréfaction des ressources fossiles. Le défi à relever est de taille car il faut réussir à mettre au point des procédés solaires de production de biomasse à constante de temps courte (quelques jours), là où une centaine de millions d'années a été nécessaire à la formation du pétrole. Cet objectif pourrait être atteint en cultivant des micro-organismes photosynthétiques dans des photobioréacteurs dont les performances cinétiques en surface
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Baud, Germain. "Conception de récepteurs solaires à lit fluidisé sous flux radiatif concentré." Thesis, Toulouse, INPT, 2011. http://www.theses.fr/2011INPT0106/document.

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L'objectif de ce travail est d’évaluer le positionnement et le potentiel des récepteurs à lit fluidisé à changement de section par rapport aux autres méthodes de chauffage de gaz à haute température par voie solaire. A cette fin, une connaissance approfondie des phénomènes thermiques et hydrodynamiques du récepteur est nécessaire. Pour acquérir cette connaissance, nous avons modélisé les transferts thermiques dans le récepteur en portant une attention particulière sur les transferts radiatifs en prenant en compte les diffusions multiples de la lumière dans le milieu particulaire, les effets de
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Books on the topic "Radiative transfer Monte Carlo method"

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Dupree, Stephen A. A Monte Carlo Primer: Volume 2. Springer US, 2004.

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K, Fraley S., ed. A Monte Carlo primer: A practical approach to radiation transport. Kluwer Academic/Plenum, 2002.

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Mahan, J. Robert, ed. The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics. John Wiley & Sons Ltd, 2019. http://dx.doi.org/10.1002/9781119518471.

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Gallis, Michael A. On the modeling of thermochemical non-equilibrium in particle simulations. Imperial College of Science, Technology & Medicine, Dept. of Aeronautics, 1995.

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Hoogland, Jiri Kamiel. Radiative corrections, quasi-Monte Carlo methods and discrepancy: Computational aspects of high energy phenomenology. Universiteit van Amsterdam, 1996.

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Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies. National Aeronautics and Space Administration, 1995.

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Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1996), contract number NAS5-31363. National Aeronautics and Space Administration, 1996.

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Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1997), contract number NAS5-31363. National Aeronautics and Space Administration, 1997.

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Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for July - December 1994). National Aeronautics and Space Administration, 1995.

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Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for July - December 1995). National Aeronautics and Space Administration, 1996.

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Book chapters on the topic "Radiative transfer Monte Carlo method"

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Howell, John R., M. Pinar Mengüç, Kyle Daun, and Robert Siegel. "The Monte Carlo Method." In Thermal Radiation Heat Transfer. CRC Press, 2020. http://dx.doi.org/10.1201/9780429327308-14.

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Ertürk, Hakan, and John R. Howell. "Monte Carlo Methods for Radiative Transfer." In Handbook of Thermal Science and Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-26695-4_57.

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Ertürk, Hakan, and John R. Howell. "Monte Carlo Methods for Radiative Transfer." In Handbook of Thermal Science and Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32003-8_57-1.

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Kersch, A., and W. Morokoff. "Radiative Heat Transfer with Quasi Monte Carlo Methods." In Simulation of Semiconductor Devices and Processes. Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-6657-4_92.

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Kuznetsov, Anatoly, Irina Melnikova, Dmitriy Pozdnyakov, Olga Seroukhova, and Alexander Vasilyev. "Monte-Carlo Method for the Solar Irradiance Calculation." In Remote Sensing of the Environment and Radiation Transfer. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14899-6_13.

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Matthews, James. "Monte Carlo Radiative Transfer and Ionization." In Disc Winds Matter. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59183-4_3.

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Stamatellos, D., and A. P. Whitworth. "Radiative Transfer in Prestellar Cores: A Monte Carlo Approach." In Open Issues in Local Star Formation. Springer Netherlands, 2003. http://dx.doi.org/10.1007/1-4020-2600-5_41.

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Gokhale, Maya, Janette Frigo, Christine Ahrens, Justin L. Tripp, and Ron Minnich. "Monte Carlo Radiative Heat Transfer Simulation on a Reconfigurable Computer." In Field Programmable Logic and Application. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30117-2_12.

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Oikarinen, Liisa. "Monte Carlo Simulations of Radiative Transfer for Limb Scan Measurements." In Chemistry and Radiation Changes in the Ozone Layer. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4353-0_28.

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Marakis, J. G., J. Chamiço, G. Brenner, and F. Durst. "Monte Carlo Simulations of Radiative Heat Transfer with Parallel Computer Architectures." In Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55919-8_10.

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Conference papers on the topic "Radiative transfer Monte Carlo method"

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Roger, M., Mouna El Hafi, R. Fournier, et al. "APPLICATIONS OF SENSITIVITY ESTIMATIONS BY MONTE CARLO METHODS." In RADIATIVE TRANSFER - IV. Fourth International Symposium on Radiative Transfer. Begellhouse, 2004. http://dx.doi.org/10.1615/ichmt.2004.rad-4.50.

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Demirkaya, Gokmen, Faruk Arinc, Nevin Selcuk, and Isil Ayranci. "COMPARISON BETWEEN PERFORMANCES OF MONTE CARLO METHOD AND METHOD OF LINES SOLUTION OF DISCRETE ORDINATES METHOD." In RADIATIVE TRANSFER - IV. Fourth International Symposium on Radiative Transfer. Begellhouse, 2004. http://dx.doi.org/10.1615/ichmt.2004.rad-4.90.

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Erturk, Hakan, Dr Faruk Arinc, and Nevin Selcuk. "ACCURACY OF MONTE CARLO METHOD RE-EXAMINED ON A BOX-SHAPED FURNACE PROBLEM." In Radiative Transfer II. Proceedings of the Second International Symposium on Radiation Transfer. Begellhouse, 1997. http://dx.doi.org/10.1615/ichmt.1997.intsymliqtwophaseflowtranspphenchtradtransfproc.80.

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Rousseau, Benoit, Julien Yves Rolland, and Jerome Vicente. "PREDICTION OF THERMAL RADIATIVE PROPERTIES IN POROUS MEDIA: A MONTE-CARLO RAY TRACING METHOD." In RADIATIVE TRANSFER - VI. Proceedings of the 6th International Symposium on Radiative Transfer. Begellhouse, 2010. http://dx.doi.org/10.1615/ichmt.2010.rad-6.530.

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Wecel, Gabriel, Ziemowit Ostrowski, and Ryszard A. Bialecki. "PREDICTION OF THERMAL RADIATIVE PROPERTIES IN POROUS MEDIA: A MONTE-CARLO RAY TRACING METHOD." In RADIATIVE TRANSFER - VI. Proceedings of the 6th International Symposium on Radiative Transfer. Begellhouse, 2010. http://dx.doi.org/10.1615/ichmt.2010.rad-6.540.

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Wang, Liangyu, Daniel C. Haworth, and Michael F. Modest. "A PDF/Photon Monte Carlo Method for Radiative Heat Transfer in Turbulent Flames." In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72748.

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Thermal radiation plays a dominant role in heat transfer for most combustion systems. Accurate predictions of radiative heat transfer are essential for the correct determination of flame temperature, flame structure, and pollutant emissions in combustion simulations. In turbulent flames, transported probability density function (PDF) methods provide a reliable treatment of nonlinear processes such as chemical reactions and radiative emission. Here a second statistical approach, a photon Monte Carlo (PMC) method, is employed to solve the radiative transfer equation (RTE). And a state-of-the-art
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Lu, Xiaodong, and Pei-Feng Hsu. "Reverse Monte Carlo Method for Transient Radiative Transfer in Participating Media." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41932.

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The Monte Carlo (MC) method has been widely used to solve radiative transfer problems due to its flexibility and simplicity in simulating the energy transport process in arbitrary geometries with complex boundary conditions. However, the major drawback of the conventional (or forward) Monte Carlo method is the long computational time for converged solution. Reverse or backward Monte Carlo (RMC) is considered as an alternative approach when solutions are only needed at certain locations and time. The reverse algorithm is similar to the conventional method, except that the energy bundle (photons
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Ren, Tao, Michael F. Modest, and Somesh Roy. "Monte Carlo Simulation for Radiative Transfer in a High-Pressure Industrial Gas Turbine Combustion Chamber." In ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-4819.

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Radiative heat transfer is studied numerically for reacting swirling flow in an industrial gas turbine burner operating at a pressure of 15 bar. The reacting field characteristics are computed by Reynolds-averaged Navier-Stokes (RANS) equations using the k-ε model with the partially stirred reactor (PaSR) combustion model. The GRI-Mech 2.11 mechanism, which includes nitrogen chemistry, is used to demonstrate the the ability of reducing NOx emissions of the combustion system. A Photon Monte Carlo (PMC) method coupled with a line-by-line spectral model is employed to accurately account for the r
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Liu, B. K., Junming Zhao, and Linhua Liu. "Radiative heat transfer in densely packed spherical particle system by Monte Carlo method." In International Heat Transfer Conference 16. Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.rti.024195.

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Versteeg, Hendrik K., Jonathan C. Henson, and Weeratunge M. G. Malalasekera. "A COMPARISON OF CONVERGENCE AND ERROR ESTIMATES FOR THE MONTE CARLO AND DISCRETE TRANSFER METHODS." In RADIATION III. ICHMT Third International Symposium on Radiative Transfer. Begellhouse, 2001. http://dx.doi.org/10.1615/ichmt.2001.radiationsymp.100.

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Reports on the topic "Radiative transfer Monte Carlo method"

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Leathers, Robert A., Trijntje V. Downes, Curtiss O. Davis, and Curtis D. Mobley. Monte Carlo Radiative Transfer Simulations for Ocean Optics: A Practical Guide. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada426624.

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Booth, Thomas E. Comments on "energy weight" in Monte Carlo thermal radiative transfer calculations. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1213509.

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Thompson, Kelly, Mathew Cleveland, Alex Long, et al. Jayenne Physics Manual, Revision 1.0 - An Implicit Monte Carlo Code for Thermal Radiative Transfer. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1818098.

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Matsekh, Anna M., Luis Chacon, HyeongKae Park, and Guangye Chen. Machine Learning for Memory Reduction in the Implicit Monte Carlo Simulations of Thermal Radiative Transfer. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1618308.

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Roth, Nathaniel Jacob. Modeling the Observational Signatures and Feeding of Super-massive Black Holes using Monte Carlo Radiative Transfer. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1489689.

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T.J. Urbatsch and T.M. Evans. Milagro Version 2 An Implicit Monte Carlo Code for Thermal Radiative Transfer: Capabilities, Development, and Usage. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/883456.

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