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84766909
Nonlinear Optics: a student's perspective: With python problems and examples
90% of respondents would recommend this to a friend
Item #:
84766909
€ 18
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This unique textbook on nonlinear optics is written by award-winning teacher and researcher, Mark G. Kuzyk, and is ideal for class or self-study.
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What Stands Out
Comprehensive Learning
Offers an in-depth exploration of nonlinear optics tailored for students, enhancing understanding through clear explanations and relatable examples.
Practical Python Examples
Includes Python problems and coding examples that illustrate complex concepts, allowing students to engage actively and apply their knowledge effectively.
Student-Centric Approach
Designed from a student's perspective, ensuring accessibility and relevance, while addressing common challenges encountered in nonlinear optics education.
Product Details
- *** 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. Reviews Kuzyk has provided an excellent textbook for physics graduate students, focused almost entirely on theory. This does not mean the book is unreadable by others, but it will be particularly appreciated by those who enjoy Dirac notation, Feynman-like diagrams, density matrices, etc. The quantum theory is well-written and includes all steps in proofs. The optical wave is treated as a classical electromagnetic wave, especially focused on the nonlinear wave equation and its implications. I enjoyed reading the book, as it reminded me of my days as a graduate student, and I rarely was stopped in my understanding as I went through each step. -- Elsa Garmire, American Journal of Physics. This book places emphasis on fundamentals and applies them to basic topics. It includes the introduction of second quantization and how it can be applied to Feynman-like diagrams for calculating nonlinear susceptibilities. The author has integrated some programming into the book for modeling nonlinear-optical processes, which the readers will find instructive and fun too. This volume is ideal as an inexpensive textbook or as a reference, and can be used for self-study. -- Reva Garg, Optics and Photonics News.
| Publication date | September 21, 2018 |
| Language | English |
| File size | 6.2 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Format | Print Replica |
| Page Flip | Not Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
-
Physics Students
Ideal for undergraduate and graduate students studying nonlinear optics, providing clear explanations and practical Python examples.
-
Self-Learners
Great for individuals looking to explore nonlinear optics independently, with hands-on Python challenges to enrich understanding.
-
Educators
Useful for teachers seeking a supplementary resource filled with examples and exercises to enhance their curriculum.
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Advanced Researchers
Not suitable for experienced physicists or researchers seeking in-depth theoretical analyses and cutting-edge research findings.
Product Description
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Optics Editorial Review
Nonlinear Optics: a student's perspective: With python problems and examples provides an accessible introduction to the complex field of nonlinear optics. Covering fundamental concepts with a unique, conversational tone, this book distinguishes itself from Prof. Boyd's classical text by engaging readers through clear explanations. Many readers have noted its suitability for beginners, making it a great starting point for new students in the field. Additionally, the inclusion of Python exercises aids in grasping complicated concepts, enhancing the learning experience. Overall, this text serves both students and instructors seeking a deeper understanding of nonlinear optical phenomena without becoming overly daunting.
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Pros
- Clear explanations suitable for beginners
- Python exercises enhance understanding
- Conversational tone engages readers effectively
- Covers fundamental nonlinear optical concepts
- Unique approaches to complex problems
Cons
- May lack depth for advanced learners
Product Price History
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Features & Benefits
- Written by award-winning professor Mark G. Kuzyk.
- Ideal for both classroom use and self-study.
- Focuses on nonlinear optics with unique theoretical insights.
- Includes exercises to reinforce understanding of concepts.
- Covers advanced topics not typically found in standard texts.
- Incorporates Python programming for problem-solving skills.
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