Relevant bibliographies by topics / Volume scattering function

Academic literature on the topic 'Volume scattering function'

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Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Volume scattering function"

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Kruglov, Timofey. "Correlation function of the excluded volume." Journal of Applied Crystallography 38, no. 5 (September 15, 2005): 716–20. http://dx.doi.org/10.1107/s0021889805017000.

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Hong, S. S. "A Method for Deriving the Mean Volume Scattering Phase Function for Zodiacal Dust." International Astronomical Union Colloquium 85 (1985): 215–18. http://dx.doi.org/10.1017/s0252921100084657.

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AbstractA linear combination of 3 Henyey-Greenstein phase functions is substituted for the mean volume scattering phase function in the zodiacal light brightness integral. Results of the integral are then compared with the observed brightness to form residuals. Minimization of the residuals provides us with the best combination of Henyey-Greenstein functions for the scattering phase function of zodiacal dust particles.
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Zhang, Xiaodong, Marlon Lewis, Michael Lee, Bruce Johnson, and Gennady Korotaev. "The volume scattering function of natural bubble populations." Limnology and Oceanography 47, no. 5 (September 2002): 1273–82. http://dx.doi.org/10.4319/lo.2002.47.5.1273.

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Tan, Hiroyuki, Tomohiko Oishi, Akihiko Tanaka, Roland Doerffer, and Yasuhiro Tan. "Chlorophyll-a specific volume scattering function of phytoplankton." Optics Express 25, no. 12 (May 26, 2017): A564. http://dx.doi.org/10.1364/oe.25.00a564.

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Li, Xin, Changwoo Do, Yun Liu, Luis Sánchez-Diáz, Gregory Smith, and Wei-Ren Chen. "A scattering function of star polymers including excluded volume effects." Journal of Applied Crystallography 47, no. 6 (November 4, 2014): 1901–5. http://dx.doi.org/10.1107/s1600576714022249.

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This work presents a new model for the form factor of a star polymer consisting of self-avoiding branches. This new model incorporates excluded volume effects and is derived from the two-point correlation function for a star polymer. This model is compared with small-angle neutron scattering measurements from polystyrene stars immersed in a good solvent, tetrahydrofuran. It is shown that this model provides a good description of the scattering signature originating from the excluded volume effect, and it explicitly elucidates the connection between the global conformation of a star polymer and the local stiffness of its constituent branch.
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Tan, Hiroyuki, Roland Doerffer, Tomohiko Oishi, and Akihiko Tanaka. "A new approach to measure the volume scattering function." Optics Express 21, no. 16 (July 30, 2013): 18697. http://dx.doi.org/10.1364/oe.21.018697.

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Hirata, Takafumi. "Irradiance inversion theory to retrieve volume scattering function of seawater." Applied Optics 42, no. 9 (March 20, 2003): 1564. http://dx.doi.org/10.1364/ao.42.001564.

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Kirk, John T. O. "Volume scattering function, average cosines, and the underwater light field." Limnology and Oceanography 36, no. 3 (May 1991): 455–67. http://dx.doi.org/10.4319/lo.1991.36.3.0455.

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Chen, Shu-Wen, Feng Lu, and Yao Ma. "Fitting Green’s Function FFT Acceleration Applied to Anisotropic Dielectric Scattering Problems." International Journal of Antennas and Propagation 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/123739.

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A volume integral equation based fast algorithm using the Fast Fourier Transform of fitting Green’s function (FG-FFT) is proposed in this paper for analysis of electromagnetic scattering from 3D anisotropic dielectric objects. For the anisotropic VIE model, geometric discretization is still implemented by tetrahedron cells and the Schaubert-Wilton-Glisson (SWG) basis functions are also used to represent the electric flux density vectors. Compared with other Fast Fourier Transform based fast methods, using fitting Green’s function technique has higher accuracy and can be applied to a relatively coarse grid, so the Fast Fourier Transform of fitting Green’s function is selected to accelerate anisotropic dielectric model of volume integral equation for solving electromagnetic scattering problems. Besides, the near-field matrix elements in this method are used to construct preconditioner, which has been proved to be effective. At last, several representative numerical experiments proved the validity and efficiency of the proposed method.
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Chen Du, 陈都, 刘秉义 Liu Bingyi, 杨倩 Yang Qian, 唐军武 Tang Junwu, and 吴松华 Wu Songhua. "近180°水中悬浮颗粒物体积散射函数测量." Infrared and Laser Engineering 50, no. 6 (2021): 20211029. http://dx.doi.org/10.3788/irla20211029.

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Dissertations / Theses on the topic "Volume scattering function"

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O'Bree, Terry Adam, and s9907681@student rmit edu au. "Investigations of light scattering by Australian natural waters for remote sensing applications." RMIT University. Applied Sciences, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080110.140055.

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Remote sensing is the collection of information about an object from a distance without physically being in contact with it. The type of remote sensing of interest here is in the form of digital images of water bodies acquired by satellite. The advantage over traditional sampling techniques is that data can be gathered quickly over large ranges, and be available for immediate analysis. Remote sensing is a powerful technique for the monitoring of water bodies. To interpret the remotely sensed data, however, knowledge of the optical properties of the water constituents is needed. One of the most important of these is the volume scattering function, which describes the angular distribution of light scattered by a sample. This thesis presents the first measurements of volume scattering functions for Australian waters. Measurements were made on around 40 different samples taken from several locations in the Gippsland lakes and the Great Barrier Reef. The measurements were made by modifying an existing static light scattering spectrometer in order to accurately measure the volume scattering functions. The development of the apparatus, its calibration and automation, and the application of a complex series of post-acquisition data corrections, are all discussed. In order to extrapolate the data over the full angular range, the data was analysed using theoretical curves calculated for multi-modal size distributions using Mie light scattering theory applied to each data set. From the Mie fits the scattering and backscattering coefficients were calculated. These were compared with scattering coefficients measured using in situ sensors ac-9 and Hydroscat-6, and with values from the literature. The effect of chlorophyll a concentrations on the scattering coefficients was examined, and a brief investigation of the polarisation properties of the samples was also undertaken. Finally the angular effects on the relationship between the backscattering coefficient and the volume scattering function were investigated. This is important as in situ backscattering sensors often assume that measuring at a single fixed-angle is a good approximation for calculating the backscattering coefficient. This assumption is tested, and the optimal measurement angle determined.
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Erkal, Cahit. "Low energy pion-pion scattering and pion electromagnetic vertex functions." 1986. http://catalog.hathitrust.org/api/volumes/oclc/15541707.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1986.
Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 115-116).
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Books on the topic "Volume scattering function"

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Characteristic Functions Scattering Functions And Transfer Functions The Moshe Livsic Memorial Volume. Birkhauser Basel, 2009.

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Phillips, Ralph S., and Peter D. Lax. Scattering Theory for Automorphic Functions. (AM-87), Volume 87. Princeton University Press, 2016.

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Furst, Eric M., and Todd M. Squires. Light scattering microrheology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199655205.003.0005.

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The fundamentals and best practices of passive microrheology using dynamic light scattering and diffusing wave spectroscopy are discussed. The principles of light scattering are introduced and applied in both the single and multiple scattering regimes, including derivations of the light and field autocorrelation functions. Applications to high-frequency microrheology and polymer dynamics are presented, including inertial corrections. Methods to treat gels and other non-ergodic samples, including multi-speckle and optical mixing designs are discussed. Dynamic light scattering (DLS) is a well established method for measuring the motion of colloids, proteins and macromolecules. Light scattering has several advantages for microrheology, especially given the availability of commercial instruments, the relatively large sample volumes that average over many probes, and the sensitivity of the measurement to small particle displacements, which can extend the range of length and timescales probed beyond those typically accessed by the methods of multiple particle tracking and bulk rheology.
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Book chapters on the topic "Volume scattering function"

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Lee, Michael E., and Elena N. Korchemkina. "Volume Scattering Function of Seawater." In Springer Series in Light Scattering, 151–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70808-9_4.

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Søndergaard, Thomas M. "Volume integral equation method for 3D scattering problems." In Green’s Function Integral Equation Methods in Nano-Optics, 265–304. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9781351260206-6.

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van der Zee, P., and D. T. Delpy. "Computed Point Spread Functions for Light in Tissue Using a Measured Volume Scattering Function." In Oxygen Transport to Tissue X, 191–97. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4615-9510-6_22.

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Hong, S. S. "A Method for Deriving the Mean Volume Scattering Phase Function for Zodiacal Dust." In Properties and Interactions of Interplanetary Dust, 215–18. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5464-9_44.

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Sugimori, Y., K. Akagi, and M. Ogihara. "Effect of Wave-Current Interaction on the Determination of Volume Scattering Function of Microwave at Sea Surface." In The Ocean Surface, 335–44. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-015-7717-5_45.

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Kirk, John T. O. "The Relationship between the Inherent and the Apparent Optical Properties of Surface Waters and its Dependence on the Shape of the Volume Scattering Function." In Ocean Optics. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195068436.003.0006.

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Let us begin by reminding ourselves just what we mean by “the inherent optical properties” and “the apparent optical properties” of surface waters. The inherent optical properties are those that belong to the aquatic medium itself: properties that belong to a small sample of the aquatic medium taken out of the water body just as much as they belong to a great mass of the medium existing within the water body itself. The properties of particular concern to us are the absorption coefficient, a, the scattering coefficient, b, and the volume scattering function, β(θ). The absorption coefficient at a given wavelength is a measure of the intensity with which the medium absorbs light from a parallel beam per unit pathlength of medium (see Eq. 1.18). The scattering coefficient at a given wavelength is a measure of the intensity with which the medium scatters light from a parallel beam per unit pathlength of medium (see Eq. 1.17). Both a and b have the units, m-1. The normalized volume scattering function specifies the angular (θ) distribution of single-event scattering around the direction of a parallel incident beam. It is often normalized to total scattering and referred to as the scattering phase function, P(θ) (see Eq. 1.21). Since these properties belong, as I have already said, to a small sample of the medium, just as much as they do to a great slab of ocean, they can be measured in the laboratory. The absorption coefficients at various wavelengths can be measured with a suitable spectrophotometer: the scattering coefficient and the volume scattering function can be measured with a light scattering photometer. The apparent optical properties are not properties of the aquatic medium as such although they are closely dependent on the nature of the aquatic medium. In reality they are properties of the light field that, under the incident solar radiation stream, is established within the water body.
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Chimenti, Dale, Stanislav Rokhlin, and Peter Nagy. "Measurement of Scattering Coefficients." In Physical Ultrasonics of Composites. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780195079609.003.0012.

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In the previous chapters, we saw how waves in composites behaved under various circumstances, depending on material anisotropy and wave propagation direction. The most important function that describes guided wave propagation, and the plate elastic behavior on which propagation depends, is the reflection coefficient (RC) or transmission coefficient (TC). More generally, we can call either one simply, the scattering coefficient (SC). It is clear that the elastic properties of the composite are closely tied to the SC, and in turn the scattering coefficient determines the dispersion spectrum of the composite plate. Measuring the SC provides a route to the inference of the elastic properties. To measure the SC, we need only observe the reflected or transmitted ultrasonic field of the incident acoustic energy. In doing so, however, the scattered ultrasonic field is influenced by several factors, both intrinsic and extrinsic. Clearly, the scattered ultrasonic field of an incident acoustic beam falling on the plate from a surrounding or contacting fluid will be strongly influenced by the RC or TC of the plate material. The scattering coefficients are in turn dependent on the plate elastic properties and structural composition: fiber and matrix properties, fiber volume fraction, layup geometry, and perhaps other factors. These elements are not, however, the only ones to determine the amplitude and spatial distribution of energy in the scattered ultrasonic field. Extrinsic factors such as the finite transmitting and receiving transducers, their focal lengths, and their placement with respect to the sample under study can make contributions to the signal as important as the SC itself. Therefore, a systematic study of the role of the transducer is essential for a complete understanding and correct interpretation of acoustic signals in the scattered field. The interpretation of these signals leads ultimately to the inference of composite elastic properties. As we pointed out in Chapter 5, the near coincidence under some conditions of guided plate wave modes with the zeroes of the reflection coefficient (or peaks in the transmission coefficient) has been exploited many times to reveal the plate’s guided wave mode spectrum.
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Goody, R. M., and Y. L. Yung. "Radiation Calculations in a Clear Atmosphere." In Atmospheric Radiation. Oxford University Press, 1989. http://dx.doi.org/10.1093/oso/9780195051346.003.0008.

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This chapter is concerned with the requirements of numerical weather prediction and general circulation models. These numerical models always assume a stratified atmosphere and utilize a limited number of grid points in the vertical direction. Computations are repeated at many horizontal grid points and at frequent time intervals; a premium is placed on computational economy. The nested integrals involved in radiative flux and heating calculations, particularly the frequency integration, can create an unacceptable computational burden unless approximated. In this chapter we limit attention to clear-sky conditions, i.e., to absorbing constituents and a thermal source function (§2.2). For a Planck function, the formal solution, (2.86), is a definite integral involving measurable quantities, temperatures, and gaseous densities. Scattering problems, on the other hand, involve the intensity in the source function and cannot be solved by a single application of this integral. Scattering calculations will be discussed further in Chapter 8; it will be shown that scattering can be neglected if the volume scattering coefficient is not very much larger than the volume absorption coefficient. This is usually the case for aerosols in the thermal region of the spectrum. As regards boundary conditions, it is usual for clear-sky calculations to assume that the earth’s surface and the upper and lower surfaces of clouds can be treated as black surfaces in the thermal spectrum. Equations (2.86) and (2.87) are stated in terms of general boundary conditions. In the flux and heating integrals, (2.106) and (2.110), these conditions are specialized to a black surface at ground level, but they can be generalized without difficulty to include a black surface at any level or partial reflection from these surfaces, if appropriate. The equations for which efficient algorithms are required are the flux equations, (2.107) and (2.108), the heating equations, (2.110) or (2.111), and the solar flux equations, (2.115). The nested integrals are 1. the vertical integral, (2.92), for the optical depth; 2. the integral, (2.86), along the optical path; 3. the angular integral, (2.102); 4. an integral over all frequencies. We may introduce the issues by considering a restricted example, that of the intensity recorded outside the atmosphere by a downward pointing satellite spectrometer.
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Thomas, Michael E. "Particle Absorption and Scatter." In Optical Propagation in Linear Media. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195091618.003.0015.

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Particles are composed of solids and/or liquids, thus the bulk optical properties of these media must be known before propagation modeling within a medium of suspended particles (called aerosols when in air) can begin. We return to our discussion of propagation in the atmosphere and oceans of the earth that began in Chapters 7 and 9, and we now include attenuation by small particles. Particles vary in size, shape, concentration, and composition. Size and concentration distributions are described in the following two sections. The composition of the most common particles is presented in the last section. Unfortunately, a representation of shape variation does not exist. As mentioned in Chapter 4 (Section 4.4.2 on Mie scattering), a collection of real aerosols will have a range of different radii. This is called a polydisperse medium. Various models are used to represent particle size distributions. One commonly used model for particle number density as a function of radius is the modified gamma distribution function, as given by . . . ρp(r) = Arα exp(−brγ), (10.1) . . . where A, b, α, and γ are empirically determined parameters. This function represents the number of particles per unit volume and unit radius as a function of radius r. The total particle number density is obtained by integrating ρp(r ) over all r.
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Lee, Jungki. "Volume Integral Equation Method (VIEM)." In Advances in Computers and Information in Engineering Research, Volume 2, 79–138. ASME, 2021. http://dx.doi.org/10.1115/1.862025_ch4.

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A number of analytical techniques are available for the stress analysis of inclusion problems when the geometries of inclusions are simple (e.g., cylindrical, spherical or ellipsoidal) and when they are well separated [9, 41, 52]. However, these approaches cannot be applied to more general problems where the inclusions are anisotropic and arbitrary in shape, particularly when their concentration is high. Thus, stress analysis of heterogeneous solids or analysis of elastic wave scattering problems in heterogeneous solids often requires the use of numerical techniques based on either the finite element method (FEM) or the boundary integral equation method (BIEM). However, these methods become problematic when dealing with elastostatic problems or elastic wave scattering problems in unbounded media containing anisotropic and/or heterogeneous inclusions of arbitrary shapes. It has been demonstrated that the volume integral equation method (VIEM) can overcome such difficulties in solving a large class of inclusion problems [6,10,20,21,28–30]. One advantage of the VIEM over the BIEM is that it does not require the use of Green’s functions for anisotropic inclusions. Since the elastodynamic Green’s functions for anisotropic media are extremely difficult to calculate, the VIEM offers a clear advantage over the BIEM. In addition, the VIEM is not sensitive to the geometry or concentration of the inclusions. Moreover, in contrast to the finite element method, where the full domain needs to be discretized, the VIEM requires discretization of the inclusions only.
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Conference papers on the topic "Volume scattering function"

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Mroczka, Janusz, Marian Parol, and Dariusz Wysoczanski. "Refractive index and light scattering models in the volume scattering function measurement." In Refractometry: International Conference, edited by Maksymilian Pluta and Mariusz Szyjer. SPIE, 1995. http://dx.doi.org/10.1117/12.213205.

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Berthon, Jean-François, Michael Lee, Eugeny Shybanov, and Giuseppe Zibordi. "Measurements of the volume scattering function in a coastal environment." In SPIE Proceedings, edited by Iosif M. Levin, Gary D. Gilbert, Vladimir I. Haltrin, and Charles C. Trees. SPIE, 2007. http://dx.doi.org/10.1117/12.740438.

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Dueweke, Paul W. "Instrument for underwater high-angular resolution volume scattering function measurements." In Ocean Optics XIII. SPIE, 1997. http://dx.doi.org/10.1117/12.266379.

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Maffione, Robert A., and Richard C. Honey. "Instrument for measuring the volume scattering function in the backward direction." In San Diego '92, edited by Gary D. Gilbert. SPIE, 1992. http://dx.doi.org/10.1117/12.140650.

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Chandrasekaran, Saravan Kumar, Tom Bieler, Chris Compton, and Neil T. Wright. "Phonon scattering in the thermal conductivity of large-grain superconducting niobium as a function of heat treatment temperature." In ADVANCES IN CRYOGENIC ENGINEERING: Transactions of the Cryogenic Engineering Conference - CEC, Volume 57. AIP, 2012. http://dx.doi.org/10.1063/1.4707015.

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Hunter, Brian, and Zhixiong Guo. "Normalization for Ultrafast Radiative Transfer Analysis With Collimated Irradiation." In ASME 2012 Heat Transfer Summer Conference collocated with the ASME 2012 Fluids Engineering Division Summer Meeting and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ht2012-58307.

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Normalization of the scattering phase function is applied to the transient discrete ordinates method for ultrafast radiative transfer analysis in a turbid medium subject to a normal collimated incidence. Previously, the authors have developed a normalization technique which accurately conserves both scattered energy and phase function asymmetry factor after directional discretization for the Henyey-Greenstein phase function approximation in steady-state diffuse radiative transfer analysis. When collimated irradiation is considered, additional normalization must be applied to ensure that the collimated phase function also satisfies both scattered energy and asymmetry factor conservation. The authors’ technique is applied to both the diffuse and collimated components of scattering using the general Legendre polynomial phase function approximation for accurate and efficient ultrafast radiative transfer analysis. The impact of phase function normalization on both predicted heat fluxes and overall energy deposition in a model tissue cylinder is investigated for various phase functions and optical properties. A comparison is shown between the discrete ordinates method and the finite volume method. It is discovered that a lack of conservation of asymmetry factor for the collimated component of scattering causes over-predictions in both energy deposition and heat flux for highly anisotropic media.
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Lygidakis, Georgios N., and Ioannis K. Nikolos. "A Parallelized Node-Centered Finite Volume Method for Computing Radiative Heat Transfer on 3D Unstructured Hybrid Grids." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82331.

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An algorithm for the computation of radiative heat transfer for absorbing, emitting and either isotropically or anisotropically scattering gray medium in three dimensions is developed. Radiative transfer equation is solved using a node-centered finite volume method in combination with an edge-based data structure, while scattering phase function is defined by Legendre polynomial expansions. Hybrid unstructured grids are used, due to their good viscous layer resolving capability, considering that our final objective is the analysis of coupled heat transfer-fluid flow problems. In addition, domain decomposition approach with message passing interface model is utilized, in order the proposed algorithm to be implemented in a parallel computational system. Numerical results reveal that the present methodology has a good performance in terms of accuracy, geometric flexibility, and computational efficiency.
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Huang, Xiao-Sheng, Jinlong Zhang, Wei-Biao Chen, Ting-Lu Zhang, Mingxia He, and Zhishen Liu. "New type of scatterometer for measuring the small-angle volume scattering function of seawater and the experiments in the East China Sea." In Ocean Optics XII, edited by Jules S. Jaffe. SPIE, 1994. http://dx.doi.org/10.1117/12.190099.

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Wang, Tao, Xinwei Wang, Haiping Hong, Zhongyang Luo, and Kefa Cen. "Effect of Stress Wave Scattering at the Liquid-Particle Interface on Viscosity Calculation of Nanocolloidal Dispersions." In ASME 2008 First International Conference on Micro/Nanoscale Heat Transfer. ASMEDC, 2008. http://dx.doi.org/10.1115/mnht2008-52067.

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In this work, extensive equilibrium molecular dynamics simulations are conducted to study the shear viscosity of nanocolloidal dispersion. Strong oscillation of the pressure tensor autocorrelation function is observed. The computational domain contains solvent of liquid argon at 143.4 K and spherical particles with volume fraction of 3%. By studying the effect of the particle size, particle density, and acoustic impedance, it is found for the first time that the stress wave scattering/reflecting at the liquid-particle interface due to acoustic mismatch plays a critical important role in the oscillation of pressure tensor autocorrelation function. The Brownian motion/vibration of solid particles is considered to have little effect on the oscillation of pressure tensor autocorrelation function curve except the frequency. And when the particle size is comparable with the wavelength of stress wave, the diffraction of stress wave happens at the interface that will also weaken the oscillation of pressure tensor autocorrelation function.
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Hunter, Brian, Zhixiong Guo, and Matthew Frenkel. "Comparison of Phase Function Normalization Techniques for Radiative Transfer Analysis Using DOM." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36756.

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Five phase-function (PF) normalization techniques are compared using the discrete-ordinate method (DOM) for modeling diffuse radiation heat transfer in participating media. Both the mathematical formulation and the impact on the conservation of both scattered energy and PF asymmetry factor for both Henyey-Greenstein (HG) and Legendre PF distributions are presented for each technique. DOM radiation transfer predictions generated using the five normalization techniques are compared to high-order finite-volume method, to gauge their accuracy. The commonly implemented scattered energy averaging technique cannot correct asymmetry factor distortion after angular discretization, and thus large errors due to angular false scattering are prevalent. Another three simple techniques via correction of one or two terms in the PF are shown to reduce normalization complexity whilst retaining diffuse radiation computation accuracy for HG PFs. However, for Legendre PFs, such simple normalization is found to result in unphysical negative PF values at one or few correction directions. The relatively complex Hunter and Guo 2012 technique, in which normalization is realized through a correction matrix covering all discrete directions, is shown to be highly applicable for both PF types.
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Reports on the topic "Volume scattering function"

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Mobley, Curtis D., and Robert A. Maffione. Sensors for Measuring the Volume Scattering Function of Oceanic Waters. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada362433.

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Bogucki, Darek J. Laboratory Verification of the Optical Turbulence Sensor (OTS): Particulate Volume Scattering Function and Turbulence Properties of the Flow. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada540476.

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Bogucki, Darek J. Laboratory Verification of the Optical Turbulence Sensor (OTS): Particulate Volume Scattering Function and Turbulence Properties of the Flow. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada522155.

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Bogucki, Darek J. Laboratory Verification of the Optical Turbulence Sensor (OTS): Particulate Volume Scattering Function and Turbulence Properties of the Flow. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada570902.

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Bogucki, Darek J. Laboratory Verification of the Optical Turbulence Sensor (OTS): Particulate Volume Scattering Function and Turbulence Properties of the Flow. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada517455.

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Moore, Casey. Development and Characterization of a Variable Aperture Attenuation Meter for the Determination of the Small Angle Volume Scattering Function and System Attenuation Coefficient. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634009.

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Trowbridge, J. H. Particle Size Distribution and Optical Volume Scattering Function in the Mid and Upper Water Column of Optically Deep Coastal Regions: Transport from the Bottom Boundary Layer. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630335.

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Agrawal, Y. C. Particle Size Distribution and Optical Volume Scattering Function in the Mid and Upper Water Column of Optically Deep Coastal Regions: Transport from the Bottom Boundary Layer. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630447.

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Agrawal, Y. C. Particle Size Distribution and Optical Volume Scattering Function in the Mid and Upper Water Column of Optically Deep Coastal Regions: Transport from the Bottom Boundary Layer. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada619755.

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Agrawal, Y. C. Particle Size Distribution and Optical Volume Scattering Function in the Mid and Upper Water Column of Optically Deep Coastal Regions: Transport from the Bottom Boundary Layer. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada626582.

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