Spie Press Book • new
Computational Optical Coherence and Statistical OpticsFormat | Member Price | Non-Member Price |
---|---|---|
Book Description
Computational Optical Coherence and Statistical Optics presents current approaches for simulating random optical fields with prescribed statistical properties. This book will benefit students studying statistical optics as well as researchers and engineers working on applications that deal with or exploit optical coherence, such as astronomy, optical coherence tomography, beam shaping, ghost imaging, and speckle mitigation. In addition, it will be useful to instructors or teachers of statistical optics. Using the simulation approaches presented in the book, instructors can create demonstrations of foundational statistical optics concepts, which will augment the theory presented in the classic pedagogical texts by Joseph W. Goodman and Emil Wolf.
Book Details
Date Published: 25 September 2023
Pages: 518
ISBN: 9781510657175
Volume: PM356
Pages: 518
ISBN: 9781510657175
Volume: PM356
Table of Contents
SHOW Table of Contents |
HIDE Table of Contents
Contents
- Preface
- 1 Scalar Partially Coherent Sources: Theoretical Foundations
- 1.1 Review of Scalar Diffraction Theory
- 1.1.1 Maxwell’s Equations and the Scalar Wave Equation
- 1.1.2 Solution of the Scalar Wave Equation and the Plane Wave Spectrum
- 1.1.3 Fresnel and Fraunhofer Diffraction
- 1.2 First-Order Field and Irradiance Statistics
- 1.2.1 Thermal and Pseudo-Thermal Light
- 1.2.2 Probability Density Function of the Irradiance
- 1.3 Second-Order Field Statistics
- 1.3.1 Mutual Coherence Function
- 1.3.2 Cross-Spectral Density Function
- 1.3.3 Propagation of the Cross-Spectral Density Function
- 1.3.4 Coherent-Modes Representation
- 1.3.5 Superposition Rule
- 1.3.6 Models of the Cross-Spectral Density Function
- 1.3.7 The van Cittert–Zernike Theorem
- 1.4 Second-Order Irradiance Statistics
- 1.4.1 Covariance of Irradiance
- 1.4.2 Statistics of Integrated Irradiance
- 1.4.3 Intensity Interferometry
- References
- 2 Simulating Random Scalar Fields
- 2.1 Coherent-Modes Representation
- 2.1.1 Simulation Methods
- 2.1.2 Gaussian Schell-Model Source
- 2.1.3 Im-Bessel Correlated Source
- 2.2 Superposition Rule: Pseudo-Modes
- 2.2.1 Simulation Methods
- 2.2.2 Schell-Model Sources
- 2.2.3 Self-Focusing Non-uniformly Correlated Sources
- 2.3 Superposition Rule: Thermal and Pseudo-Thermal Light
- 2.3.1 Simulation Method
- 2.3.2 Schell-Model Sources
- 2.3.3 Self-Focusing Non-uniformly Correlated Sources
- References
- 3 Electromagnetic Partially Coherent Sources: Theoretical Foundations
- 3.1 Review of Electromagnetic Theory
- 3.1.1 Electromagnetic Plane Wave Spectrum
- 3.1.2 Polarization Ellipse
- 3.1.3 Jones Vectors, Stokes Parameters, and the Poincaré Sphere
- 3.2 First-Order Field and Irradiance Statistics
- 3.2.1 Partially Polarized Thermal and Pseudo-Thermal Light
- 3.2.2 Probability Density Functions of Stokes Parameters
- 3.3 Second-Order Field Statistics
- 3.3.1 Beam Coherence-Polarization Matrix
- 3.3.2 Cross-Spectral Density Matrix
- 3.3.3 Propagation of the Cross-Spectral Density Matrix
- 3.3.4 Coherent-Modes Representation
- 3.3.5 Superposition Rule
- 3.3.6 Models of the Cross-Spectral Density Matrix
- 3.4 Second-Order Irradiance Statistics
- 3.4.1 Covariance of Irradiance
- References
- 4 Simulating Random Electromagnetic Fields
- 4.1 Coherent-Modes Representation: Bimodal Expansions
- 4.1.1 Simulation Method
- 4.1.2 Electromagnetic Gaussian Schell-Model Source
- 4.2 Superposition Rule: Pseudo-Modes
- 4.2.1 Simulation Method
- 4.2.2 Electromagnetic Schell-Model Sources
- 4.2.3 Electromagnetic Self-Focusing Non-uniformly Correlated Sources
- 4.3 Superposition Rule: Thermal and Pseudo-thermal Light
- 4.3.1 Simulation Method
- 4.3.2 Electromagnetic Schell-Model Sources
- 4.3.3 Electromagnetic Self-Focusing Non-uniformly Correlated Sources
- References
- 5 Application Examples
- 5.1 Young’s Experiment
- 5.1.1 Theory
- 5.1.2 Simulation
- 5.2 Michelson Interferometer
- 5.2.1 Theory
- 5.2.2 Simulation
- 5.3 The van Cittert–Zernike Theorem
- 5.3.1 Beam Shaping with Random Scalar Fields
- 5.3.2 Polarization Control with Random Electromagnetic Fields
- 5.4 The Hanbury Brown and Twiss Effect
- 5.4.1 Theory
- 5.4.2 Simulation
- 5.5 Imaging with Partially Coherent Light
- 5.5.1 Theory
- 5.5.2 Simulation
- References
- 6 Pulsed Partially Coherent Fields
- 6.1 Review of Basic Theory
- 6.1.1 Coherent-Modes Representation
- 6.1.2 Superposition Rule
- 6.2 Superposition Rule: Thermal and Pseudo-Thermal Light
- 6.2.1 Schell-Model Pulsed Beams
- 6.2.2 Non-uniformly Correlated Pulsed Beams
- 6.2.3 Spatiotemporal Coupling: Twisted Space-Time Beams
- References
- Appendix A Numerical Diffraction Using the Collins Formula
- A.1 The Collins Formula
- A.2 Sampling Analysis
- A.3 Example
- References
- Appendix B Simulating Spatially Incoherent Sources
- B.1 Theory
- B.2 Example
- References
- Appendix C MATLAB® Code
- C.1 Chapter II
- C.2 Chapter IV
- C.3 Chapter V
- C.4 Chapter VI
- C.5 Appendix A
- C.6 Appendix B
- References
- Index
© SPIE. Terms of Use
