Description

Laser spectroscopy is a valuable tool for sensing and chemical analysis. Developments in lasers, detectors and mathematical analytical tools have led to improvements in the sensitivity and selectivity of spectroscopic techniques and extended their fields of application. Laser Spectroscopy for Sensing examines these advances and how laser spectroscopy can be used in a diverse range of industrial, medical, and environmental applications.

Part one reviews basic concepts of atomic and molecular processes and presents the fundamentals of laser technology for controlling the spectral and temporal aspects of laser excitation. In addition, it explains the selectivity, sensitivity, and stability of the measurements, the construction of databases, and the automation of data analysis by machine learning. Part two explores laser spectroscopy techniques, including cavity-based absorption spectroscopy and the use of photo-acoustic spectroscopy to acquire absorption spectra of gases and condensed media. These chapters discuss imaging methods using laser-induced fluorescence and phosphorescence spectroscopies before focusing on light detection and ranging, photothermal spectroscopy and terahertz spectroscopy. Part three covers a variety of applications of these techniques, particularly the detection of chemical, biological, and explosive threats, as well as their use in medicine and forensic science. Finally, the book examines spectroscopic analysis of industrial materials and their applications in nuclear research and industry.

The text provides readers with a broad overview of the techniques and applications of laser spectroscopy for sensing. It is of great interest to laser scientists and engineers, as well as professionals using lasers for medical applications, environmental applications, military applications, and material processing.

Key Features

  • Presents the fundamentals of laser technology for controlling the spectral and temporal aspects of laser excitation
  • Explores laser spectroscopy techniques, including cavity-based absorption spectroscopy and the use of photo-acoustic spectroscopy to acquire absorption spectra of gases and condensed media
  • Considers spectroscopic analysis of industrial materials and their applications in nuclear research and industry

Readership

Laser scientists and engineers; Professionals using lasers for medical applications, environmental applications, military applications, and material processing; Defense contractors; Federally funded research and development centers and universities who are interested in developing laser based sensing technologies for chemical, biological, and explosive threats; Scientists and researchers in the field of laser sensing including laser spectroscopy, laser development, optical and hypersectral detection of environmental species, and applications of laser sensors for industrial and process control

Table of Contents

Contributor contact details

Woodhead Publishing Series in Electronic and Optical Materials

Introduction

Dedication

Part I: Fundamentals of laser spectroscopy for sensing

1. Fundamentals of optical spectroscopy

Abstract:

1.1 Introduction

1.2 Radiative processes and spectral broadening mechanisms

1.3 Atomic spectroscopy

1.4 Molecular spectroscopy

1.5 Conclusion

1.6 Acknowledgments

1.7 References

2. Lasers used for spectroscopy: fundamentals of spectral and temporal control

Abstract:

2.1 Introduction

2.2 Laser basics

2.3 Emission linewidth and emission cross-section

2.4 Cavity conditions

2.5 Spectral and temporal control

2.6 References

3. Fundamentals of spectral detection

Abstract:

3.1 Introduction

3.2 Selectivity requirements for sensing applications

3.3 Approaches to improve sensitivity

3.4 System stability and signal averaging

3.5 Conclusion

3.6 References

4. Using databases for data analysis in laser spectroscopy

Abstract:

4.1 Introduction

4.2 Definition of a database

4.3 Atomic spectroscopy databases on the Internet

4.4 Building your own database

4.5 Putting your database online

4.6 Conclusion

4.7 Disclaimer

4.8 References

5. Multivariate analysis, chemometrics, and machine learning in laser spectroscopy

Abstract:

5.1 Introduction

5.2 Preliminary notes: terminology and use of data

5.3 Feature extraction and data pre-processing

5.4 Data analysis and algorithm development: extracting information from data

5.5 Performance evaluation

5.6 Conclusion

5.7 Future trends

5.8 Sources of further information and advice

5.9 Acknowledgments

5.10 References

Part II:

Details

No. of pages:
592
Language:
English
Copyright:
© 2014
Published:
Imprint:
Woodhead Publishing
eBook ISBN:
9780857098733
Print ISBN:
9780857092731
Print ISBN:
9780081013854

About the editor

Matthieu Baudelet

Dr Matthieu Baudelet is a Research Assistant Professor of Optics in the Laser and Plasma Laboratory in the Townes Laser Institute, University of Central Florida, USA.

Affiliations and Expertise

University of Central Florida, USA

Reviews

"...very useful knowledge for the researcher who needs to use optical sensing methods in their work. Laser scientists and engineers...will also find this book very informative..." --IEEE Electrical Insulation Magazine,November-December 2014