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https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
Data sources: Datacite
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Monte Carlo simulations in anomalous radiative transfer: tutorial

Authors: Binzoni, Tiziano; Martelli, Fabrizio;

Monte Carlo simulations in anomalous radiative transfer: tutorial

Abstract

Anomalous radiative transfer (ART) theory represents a generalization of classical radiative transfer theory. The present tutorial aims to show how Monte Carlo (MC) codes describing the transport of photons in anomalous media can be implemented. We show that the heart of the method involves suitably describing, in a “non-classical” manner, photon steps starting from fixed light sources or from boundaries separating regions of the medium with different optical properties. To give a better sense of the importance of these particular photon step lengths, we also show numerically that the described approach is essential in preserving the invariance property for light propagation. An interesting byproduct of the MC method for ART is that it allows us to simplify the structure of “classical” MC codes, utilized, for example, in biomedical optics.

Countries
Switzerland, Italy
Keywords

Optics and Photonics, Photons, 616.8, 616.0757, FOS: Physical sciences, Computational Physics (physics.comp-ph), Monte Carlo simulations, anomalous radiative transfer, Scattering, Radiation, Computer Simulation, Physics - Computational Physics, Monte Carlo Method, Physics - Optics, Optics (physics.optics)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green