David L. Elliott

Ultraviolet Laser Technology and Applications (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Ultraviolet Laser Technology and Applications is a hands-on reference text that identifies the main areas of UV laser technology; describes how each is applied; offers clearly illustrated examples of UV opticalsystems applications; and includes technical data on optics, lasers, materials, and systems. This book is unique for its comprehensive, in-depth coverage. Each chapter deals with a different aspect of the subject, beginning with UV light itself; moving through the optics, sources, and systems; and concluding with detailed descriptions of applications in various fields.

The text enables practicing engineers and researchers to utilize concepts and innovations to solve actual problems encountered in UV optical technology applications. It also offers a wealth of information for equipment designers and manufacturers.

Those in laser fields (including medical, electronics, and semiconductors), students, engineers, technicians, as well as newcomers to the subject who require a basic introduction to the topic, will all find Ultraviolet Laser Technology and Applications to be an essential resource.

• Serves as a valuable, practical reference to UV laser technology
• Presents detailed technical data and techniques
• Offers highly illustrated optics designs and beam delivery systems
• Includes an extensive bibliography, references, and glossary
• Covers all major UV laser markets and technology systems

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 350
• Erscheinungstermin: 28. Juni 2014
• Englisch
• ISBN-13: 9781483296517
• Artikelnr.: 41131078

Autorenporträt

David Elliott learned automatic theory control as an applied mathematician at the Naval Ocean Systems Center and received his Ph.D. in Engineering from UCLA. His dissertation was the first to apply a differential geometric approach to stochastic nonlinear systems. Dr. Elliott helped to found the unique and well-known Department of Systems Science and Mathematics at Washington University, where he is now Professor Emeritus. Since 1992, he has been associated with the University of Maryland where he continues to advise doctoral students and perform research in nonlinear systems. His current research is supported by NeuroDyne, Inc., a company which develops new methods of system control and identification for government and industry. He has served as Associate Editor for the Control Society Newsletter, SIAM Review, Mathematical Systems Theor, and System and Control Letters, and is Associate Editor at Large for IEEE Transactions on automatic control. His research has recently been honored by advancement to Fellow of IEEE.