New Computation Methods for Geometrical Optics

AvPsang Dain Lin

Häftad, Engelska, 2016

Del 178 i serien Springer Series in Optical Sciences

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Beskrivning

This book employs homogeneous coordinate notation to compute the first- and second-order derivative matrices of various optical quantities. It will be one of the important mathematical tools for automatic optical design. The traditional geometrical optics is based on raytracing only. It is very difficult, if possible, to compute the first- and second-order derivatives of a ray and optical path length with respect to system variables, since they are recursive functions. Consequently, current commercial software packages use a finite difference approximation methodology to estimate these derivatives for use in optical design and analysis. Furthermore, previous publications of geometrical optics use vector notation, which is comparatively awkward for computations for non-axially symmetrical systems.

Produktinformation

Utgivningsdatum:2016-08-23
Mått:155 x 235 x 14 mm
Vikt:388 g
Format:Häftad
Språk:Engelska
Serie:Springer Series in Optical Sciences
Antal sidor:239
Förlag:Springer Verlag, Singapore
ISBN:9789811013416

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Mer om författaren

Dr. PD Lin is a distinguished Professor of Mechanical Engineering at the National Cheng Kung University, Taiwan, where he has been since 1989. He earned his BS and MS from that university in 1979 and 1984, respectively. He received his Ph.D. in Mechanical Engineering from Northwestern University, USA, in 1989. He has served as an associate editor of Journal of the Chinese Society of Mechanical Engineers since 2000. His research interests include geometrical optics and error analysis in multi-axis machines.

Innehållsförteckning

Homogeneous coordinate notation.- Skew-Ray Tracing at Boundary Surfaces.- Modeling an Optical System.- Paraxial Optics for Axis-Symmetrical Systems.- The Jacobian Matrix of a Ray with respect to System Variable Vector.- Point Spread Function and Modulation Transfer Function.- Optical Path Length and Its Jacobian Matrix with respect to System Variable Vector.- The Wavefront Shape, Irradiance, and Caustic Surface in an Optical System.