A boundary integral formalism for stochastic ray tracing in billiards

Determining the flow of rays or non-interacting particles driven by a force or velocity field is fundamental to modelling many physical processes. These include particle flows arising in fluid mechanics and ray flows arising in the geometrical optics limit of linear wave equations. In many practical...

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Main Authors: Chappell, David, Tanner, Gregor
Format: Article
Published: AIP Publishing 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/46597/
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author Chappell, David
Tanner, Gregor
author_facet Chappell, David
Tanner, Gregor
author_sort Chappell, David
building Nottingham Research Data Repository
collection Online Access
description Determining the flow of rays or non-interacting particles driven by a force or velocity field is fundamental to modelling many physical processes. These include particle flows arising in fluid mechanics and ray flows arising in the geometrical optics limit of linear wave equations. In many practical applications, the driving field is not known exactly and the dynamics are determined only up to a degree of uncertainty. This paper presents a boundary integral framework for propagating flows including uncertainties, which is shown to systematically interpolate between a deterministic and a completely random description of the trajectory propagation. A simple but efficient discreti- sation approach is applied to model uncertain billiard dynamics in an integrable rectangular domain.
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spelling nottingham-465972020-05-04T16:59:07Z https://eprints.nottingham.ac.uk/46597/ A boundary integral formalism for stochastic ray tracing in billiards Chappell, David Tanner, Gregor Determining the flow of rays or non-interacting particles driven by a force or velocity field is fundamental to modelling many physical processes. These include particle flows arising in fluid mechanics and ray flows arising in the geometrical optics limit of linear wave equations. In many practical applications, the driving field is not known exactly and the dynamics are determined only up to a degree of uncertainty. This paper presents a boundary integral framework for propagating flows including uncertainties, which is shown to systematically interpolate between a deterministic and a completely random description of the trajectory propagation. A simple but efficient discreti- sation approach is applied to model uncertain billiard dynamics in an integrable rectangular domain. AIP Publishing 2014-12-05 Article PeerReviewed Chappell, David and Tanner, Gregor (2014) A boundary integral formalism for stochastic ray tracing in billiards. Chaos, 24 . 043137/1-043137/10. ISSN 1089-7682 Trajectory models Phase space methods Boundary integral methods Integral equations Ray tracing http://aip.scitation.org/doi/10.1063/1.4903064 doi:10.1063/1.4903064 doi:10.1063/1.4903064
spellingShingle Trajectory models
Phase space methods
Boundary integral methods
Integral equations
Ray tracing
Chappell, David
Tanner, Gregor
A boundary integral formalism for stochastic ray tracing in billiards
title A boundary integral formalism for stochastic ray tracing in billiards
title_full A boundary integral formalism for stochastic ray tracing in billiards
title_fullStr A boundary integral formalism for stochastic ray tracing in billiards
title_full_unstemmed A boundary integral formalism for stochastic ray tracing in billiards
title_short A boundary integral formalism for stochastic ray tracing in billiards
title_sort boundary integral formalism for stochastic ray tracing in billiards
topic Trajectory models
Phase space methods
Boundary integral methods
Integral equations
Ray tracing
url https://eprints.nottingham.ac.uk/46597/
https://eprints.nottingham.ac.uk/46597/
https://eprints.nottingham.ac.uk/46597/