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Understanding Optics With Python

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Understanding Optics With Python

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Author : Vasudevan Lakshminarayanan
language : en
Publisher: CRC Press
Release Date : 2018-02-19

Understanding Optics With Python written by Vasudevan Lakshminarayanan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Science categories.

Optics is an enabling science that forms a basis for our technological civilization. Courses in optics are a required part of the engineering or physics undergraduate curriculum in many universities worldwide. The aim of Understanding Optics with Python is twofold: first, to describe certain basic ideas of classical physical and geometric optics; second, to introduce the reader to computer simulations of physical phenomena. The text is aimed more broadly for those who wish to use numerical/computational modeling as an educational tool that promotes interactive teaching (and learning). In addition, it offers an alternative to developing countries where the necessary equipment to carry out the appropriate experiments is not available as a result of financial constraints. This approach contributes to a better diffusion of knowledge about optics. The examples given in this book are comparable to those found in standard textbooks on optics and are suitable for self-study. This text enables the user to study and understand optics using hands-on simulations with Python. Python is our programming language of choice because of its open-source availability, extensive functionality, and an enormous online support. Essentials of programming in Python 3.x, including graphical user interface, are also provided. The codes in the book are available for download on the book’s website. Discusses most standard topics of traditional physical and geometrical optics through Python and PyQt5 Provides visualizations and in-depth descriptions of Python’s programming language and simulations Includes simulated laboratories where students are provided a "hands-on" exploration of Python software Coding and programming featured within the text are available for download on the book’s corresponding website. "Understanding Optics with Python by Vasudevan Lakshminarayanan, Hassen Ghalila, Ahmed Ammar, and L. Srinivasa Varadharajan is born around a nice idea: using simulations to provide the students with a powerful tool to understand and master optical phenomena. The choice of the Python language is perfectly matched with the overall goal of the book, as the Python language provides a completely free and easy-to-learn platform with huge cross-platform compatibility, where the reader of the book can conduct his or her own numerical experiments to learn faster and better." — Costantino De Angelis, University of Brescia, Italy "Teaching an important programming language like Python through concrete examples from optics is a natural and, in my view, very effective approach. I believe that this book will be used by students and appreciated greatly by instructors. The topic of modelling optical effects and systems where the students should already have a physical background provides great motivation for students to learn the basics of a powerful programming language without the intimidation factor that often goes with a formal computer science course." — John Dudley, FEMTO-ST Institute, Besançon, France

Optics Using Python

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Author : Daniel Mulkey
language : en
Publisher:
Release Date : 2024

Optics Using Python written by Daniel Mulkey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Optics categories.

"Optics Using Python equips readers with the programming skills and experience needed to solve nontrivial optics problems using the completely free Python programming language. The book is divided into two parts: (1) a "first-order toolbox" for optical systems and (2) more sophisticated tools "beyond the toolbox." The first part comprises three chapters covering the Python programming language, examples of optics calculations, and data acquisition and processing. The second part consists of two chapters discussing third-party libraries and more-advanced software engineering tools. In contrast to an optics educational text, this book's focus is the synergy of optics with Python. For this reason, the reader is assumed to have some optics knowledge at the level of an undergraduate physics, optics, or electrical engineering department. The book was also written with the practicing engineer in mind, aspiring to provide productivity quickly. To this end, more than 4500 lines of code are available online that accompany the text and provide both instructional examples as well as modeling exercises. Some of these include estimating the resolution of a grating spectrometer, spatial filtering using wave propagation, and the use of Circuit Python to modulate a LED and record data from a lock-in amplifier. Any optics practitioner in search of practical tools for design and lab work will benefit from this book"--

Understanding Optics With Python

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Author : Vasudevan Lakshminarayanan
language : en
Publisher: CRC Press
Release Date : 2018-02-19

Optical Simulation Using Python And Krakenos

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Author : Joel Herrera Vázquez
language : en
Publisher:
Release Date : 2023

Optical Simulation Using Python And Krakenos written by Joel Herrera Vázquez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

Nonlinear Optics A Student S Perspective

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Author : Mark G. Kuzyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-08-18

Nonlinear Optics A Student S Perspective written by Mark G. Kuzyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-18 with Nonlinear optics categories.

*** Note to instructors. This book is available free of charge as an eBook on Perusall, the peer discussion forum. *** This unique textbook on nonlinear optics is written by award-winning teacher and researcher, Regents Professor Mark G. Kuzyk of Washington State University. It is ideal for a class or as a reference, and can be used for self study. Exercises are provided as material is introduced to reinforce concepts. The book's approach mirrors the author's philosophy that a firm grounding in the fundamentals will allow the student to tackle any topic. As such, many topics are left out while others are covered in depth to develop the intuition. Physics is meant to be savored, so this book should be consumed slowly with attention to the deeper meaning of the topics presented. The rest will naturally fall into place. Material not normally discussed in standard textbooks that is covered here includes the introduction of second quantization and how it can be applied to Feynman-like diagrams for calculating nonlinear susceptibilities. Dirac notation is introduced to facilitate the development of the theory with finesse. This approach provides a pictorial representation of light-matter interactions that leads to a more intuitive understanding of phenomena such as difference frequency generation, cascading and stimulated emission. An introduction to Python programming and solving simple numerical problems is briefly presented to get the student up to speed. In addition to unique problem sets that are not typically assigned in a course on nonlinear optics, a series of numerical problems are provided to both hone coding skills (the student can code in any language) and shed light on problems that have no analytical solution. Other unique topics covered are magnetic susceptibilities, nonlinear optics at negative absolute temperature, epsilon near zero materials, surface plasmons in various spatial dimensions, aperiodic nonlinear gratings to control the effective nonlinearity, nonlinear optics of single molecules, self-consistent methods for treating cascading as a local field and an in-depth derivation of optical multi-stability. This book is a total overhaul of "Lecture Notes in Nonlinear Optics: a student's perspective." Previous material is extensively augmented and rewritten for clarity and lots of new material has been added. While this newer book tries to take a student's perspective, it does not have the same raw narrative as the previous volume. Being so different in approach and content, it should be considered a new book rather than an updated edition of the previous one. If the more polished approach is not your thing, then go for the older book, which will remain available indefinitely.

Quantum Mechanics Of Charged Particle Beam Optics Understanding Devices From Electron Microscopes To Particle Accelerators

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Author : Ramaswamy Jagannathan
language : en
Publisher: CRC Press
Release Date : 2019-05-20

Quantum Mechanics Of Charged Particle Beam Optics Understanding Devices From Electron Microscopes To Particle Accelerators written by Ramaswamy Jagannathan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Science categories.

Classical Charged Particle Beam Optics used in the design and operation of all present-day charged particle beam devices, from low energy electron microscopes to high energy particle accelerators, is entirely based on classical mechanics. A question of curiosity is: How is classical charged particle beam optics so successful in practice though the particles of the beam, like electrons, are quantum mechanical? Quantum Mechanics of Charged Particle Beam Optics answers this question with a comprehensive formulation of ‘Quantum Charged Particle Beam Optics’ applicable to any charged particle beam device.

Dynamical Systems With Applications Using Python

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Author : Stephen Lynch
language : en
Publisher: Springer
Release Date : 2018-10-09

Dynamical Systems With Applications Using Python written by Stephen Lynch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-09 with Mathematics categories.

This textbook provides a broad introduction to continuous and discrete dynamical systems. With its hands-on approach, the text leads the reader from basic theory to recently published research material in nonlinear ordinary differential equations, nonlinear optics, multifractals, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python’s extensive visualization, simulation, and algorithmic tools to study those topics in nonlinear dynamical systems through numerical algorithms and generated diagrams. After a tutorial introduction to Python, the first part of the book deals with continuous systems using differential equations, including both ordinary and delay differential equations. The second part of the book deals with discrete dynamical systems and progresses to the study of both continuous and discrete systems in contexts like chaos control and synchronization, neural networks, and binary oscillator computing. These later sections are useful reference material for undergraduate student projects. The book is rounded off with example coursework to challenge students’ programming abilities and Python-based exam questions. This book will appeal to advanced undergraduate and graduate students, applied mathematicians, engineers, and researchers in a range of disciplines, such as biology, chemistry, computing, economics, and physics. Since it provides a survey of dynamical systems, a familiarity with linear algebra, real and complex analysis, calculus, and ordinary differential equations is necessary, and knowledge of a programming language like C or Java is beneficial but not essential.

Optics And Artificial Vision

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Author : Héctor A. Chaparro-Romo
language : en
Publisher:
Release Date : 2021

Optics And Artificial Vision written by Héctor A. Chaparro-Romo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computer vision categories.

This book provides a concise introduction to computer vision for optical researchers and scientists. Building from the optical foundations of image processing and the science behind camera sensors, Optics and Artificial Vision equips the reader with the tools needed to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Python{#170} software to show real, implemented applications in industry. Ideal for industry engineers with projects related to computer vision, as well as a good reference text for academics, students and other researchers working at the intersection of artificial intelligence and optics.

Optics Of The Human Eye

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Author : David A. Atchison
language : en
Publisher: CRC Press
Release Date : 2023-03-31

Optics Of The Human Eye written by David A. Atchison and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Science categories.

This book describes the optical structure and optical properties of the human eye. For ease of reference, the most commonly useful topics are at the beginning and topics with narrower appeal are placed towards the end. The book is divided into five sections, covering: Basic optical structure of the eye, including the refracting components, the pupil, axes, and simple models of the eye Image formation and refraction of the eye, including refractive errors, measurement, and correction Interactions between light and the eye, considering transmission, reflection, and scatter in the media and at the fundus Aberrations and retinal image quality Depth-of-field and age-related changes in the optics of the eye There have been many developments in the field of visual optics since the first edition was published in 2000. There have been advances in instrumentation for imagery, biometry, and aberrations of the eye. The refraction anomaly of myopia has increased in prevalence throughout the world, and is getting increasing attention because of its association with ocular pathology in the middle and later years of life. Ocular aberrations are now considered in terms of Zernike polynomials rather than Taylor polynomials. Aberrations can be manipulated to better understand their effects on visual performance to improve imagery of the retina for the betterment of diagnosis of various ocular conditions, and to treat the progression of myopia in children. To deal with these developments, the section on aberrations and retinal image quality has undergone considerable revision. This book will be an invaluable purchase for all those with an interest in vision, such as optometrists, ophthalmologists, vision scientists, optical physics, and student of visual optics. An understanding of the optics of the human eye is particular important to designers of ophthalmic diagnostic equipment and visual optical systems such as telescopes.

Fourier Theory In Optics And Optical Information Processing

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Author : Toyohiko Yatagai
language : en
Publisher: CRC Press
Release Date : 2022-05-26

Fourier Theory In Optics And Optical Information Processing written by Toyohiko Yatagai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Mathematics categories.

Fourier analysis is one of the most important concepts when you apply physical ideas to engineering issues. This book provides a comprehensive understanding of Fourier transform and spectral analysis in optics, image processing, and signal processing. Written by a world renowned author, this book looks to unify the readers understanding of principles of optics, information processing and measurement. This book describes optical imaging systems through a linear system theory. The book also provides an easy understanding of Fourier transform and system theory in optics. It also provides background of optical measurement and signal processing. Finally, the author also provides a systematic approach to learning many signal processing techniques in optics. The book is intended for researchers, industry professionals, and graduate level students in optics and information processing.

Understanding Optics With Python

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