A symbolic approach for the identification of radiative properties
- Resource Type
- Authors
- Agnes Delmas; Maxime Roger; Mathieu Galtier; Frédéric André
- Source
- Journal of Quantitative Spectroscopy and Radiative Transfer
Journal of Quantitative Spectroscopy and Radiative Transfer, Elsevier, 2017, 196, pp.130-141. ⟨10.1016/j.jqsrt.2017.03.026⟩
- Subject
- Physics
Identification
Radiation
010504 meteorology & atmospheric sciences
Scattering
020209 energy
Monte Carlo method
Complex system
02 engineering and technology
01 natural sciences
Null collisions
Polynomials
Atomic and Molecular Physics, and Optics
Range (mathematics)
Complex geometry
Simple (abstract algebra)
0202 electrical engineering, electronic engineering, information engineering
Radiative transfer
[SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]
Radiative properties
Statistical physics
Symbolic Monte Carlo (SMC)
Absorption (electromagnetic radiation)
Spectroscopy
0105 earth and related environmental sciences
- Language
- English
- ISSN
- 0022-4073
International audience; A new Symbolic Monte Carlo (SMC) based on null-collision algorithms allows (1) overcoming the usually required knowledge of the optical thickness in SMC and (2) expressing radiative quantities as simple polynomials of the absorption and scattering coefficients. The proposed method can be applied to complex systems such as heterogeneous absorbing and scattering media in complex geometry. It opens new outlooks for the analysis and the identification of radiative properties in a wide range of radiative transfer applications in participating media.