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Title: Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy

Abstract

Nonlinear spectroscopy using coherent anti-Stokes Raman scattering and femtosecond laser pulses has been successfully developed as powerful tools for chemical analysis and biological imaging. Recent developments show promising possibilities of incorporating CARS into LIDAR system for remote detection of molecular species in airborne particles. The corresponding theory is being developed to describe nonlinear scattering of a mesoscopic particle composed of complex molecules by laser pulses with arbitrary shape and spectral content. Microscopic many-body transform theory is used to compute the third order susceptibility for CARS in molecules with known absorption spectrum and vibrational modes. The theory is combined with an integral scattering formula and Mie-Lorentz formulae, giving a rigorous formalism which provides powerful numerical experimentation of CARS spectra, particularly on the variations with the laser parameters and the direction of detection.

Authors:
 [1]
  1. School of Engineering, Monash University, Jalan Lagoon Selatan, Bandar Sunway, 46150 Selangor DarulEhsan, Malaysia and Department of Physics, Korea University, Anam-dong, Seongbuk-gu, Seoul, 136-713 (Korea, Republic of)
Publication Date:
OSTI Identifier:
21344283
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1150; Journal Issue: 1; Conference: 3. international meeting on frontiers in physics, Kuala Lumpur (Malaysia), 12-16 Jan 2009; Other Information: DOI: 10.1063/1.3192297; (c) 2009 American Institute of Physics
Country of Publication:
United States
Language:
English
Subject:
74 ATOMIC AND MOLECULAR PHYSICS; ABSORPTION SPECTRA; DETECTION; LASER RADIATION; MOLECULES; NONLINEAR PROBLEMS; OPTICAL MICROSCOPY; PARTICULATES; POLARIZATION; PULSED IRRADIATION; PULSES; QUANTITATIVE CHEMICAL ANALYSIS; RAMAN SPECTROSCOPY; SCATTERING; VARIATIONS; CHEMICAL ANALYSIS; ELECTROMAGNETIC RADIATION; IRRADIATION; LASER SPECTROSCOPY; MICROSCOPY; PARTICLES; RADIATIONS; SPECTRA; SPECTROSCOPY

Citation Formats

Ooi, C. H. Raymond. Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy. United States: N. p., 2009. Web. doi:10.1063/1.3192297.
Ooi, C. H. Raymond. Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy. United States. doi:10.1063/1.3192297.
Ooi, C. H. Raymond. Fri . "Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy". United States. doi:10.1063/1.3192297.
@article{osti_21344283,
title = {Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy},
author = {Ooi, C. H. Raymond},
abstractNote = {Nonlinear spectroscopy using coherent anti-Stokes Raman scattering and femtosecond laser pulses has been successfully developed as powerful tools for chemical analysis and biological imaging. Recent developments show promising possibilities of incorporating CARS into LIDAR system for remote detection of molecular species in airborne particles. The corresponding theory is being developed to describe nonlinear scattering of a mesoscopic particle composed of complex molecules by laser pulses with arbitrary shape and spectral content. Microscopic many-body transform theory is used to compute the third order susceptibility for CARS in molecules with known absorption spectrum and vibrational modes. The theory is combined with an integral scattering formula and Mie-Lorentz formulae, giving a rigorous formalism which provides powerful numerical experimentation of CARS spectra, particularly on the variations with the laser parameters and the direction of detection.},
doi = {10.1063/1.3192297},
journal = {AIP Conference Proceedings},
number = 1,
volume = 1150,
place = {United States},
year = {Fri Jul 10 00:00:00 EDT 2009},
month = {Fri Jul 10 00:00:00 EDT 2009}
}