Since the first stimulated emission pumping (SEP) experiments more than a decade ago, this technique has proven powerful for studying vibrationally excited molecules. SEP is now widely used by increasing numbers of research groups to investigate fundamental problems in spectroscopy, intramolecular dynamics, intermolecular interactions, and even reactions. SEP provides rotationally pre-selected spectra of vibrationally highly excited molecules undergoing large amplitude motions. A unique feature of SEP is the ability to access systematically a wide variety of extreme excitations localized in various parts of a molecule, and to prepare populations in specific, high vibrational levels. SEP has made it possible to ask and answer specific questions about intramolecular vibrational redistribution and the role of vibrational excitation in chemical reactions.
https://doi.org/10.1142/9789812831880_fmatter
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The simple and well understood models of rotational and vibrational motion which include “the rigid rotor”, “the simple harmonic oscillator” and “normal coordinates”, are fully applicable to the analysis of the spectra of highly vibrationally excited HCN, even when the molecule contains enough vibrational energy to isomerize to HNC. Further consideration of more sophisticated but fully understood concepts such as axis-switching, rotational-ℓ-doubling and local anharmonic perturbations allows the assignment of every vibrational level observed in stimulated emission pumping experiments. This allows the reduction of the experimentally derived spectra to a set of well defined molecular constants that can be directly compared to theoretical calculations on HCN. This paper reports on the present status of an on-going effort to determine the potential energy surface for the isomerization reaction, “Nature's own Hamiltonian” for a chemical reaction.
https://doi.org/10.1142/9789812831880_0015
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https://doi.org/10.1142/9789812831880_0017
The stimulated emission pumping (SEP) technique has made the study of highly vibrationally excited molecules increasingly appealing, enabling sophisticated spectroscopic probes to be converted to preparation techniques. With such an approach even relatively improbable processes, such as vibrational energy transfer and chemical reactivity, may be studied. This article describes studies of the vibrational quantum number dependence of the vibrational relaxation of highly vibrationally excited Nitric Oxide and Oxygen. The NO experiments are one of the first data sets on bimolecular energy transfer for molecules with several hundreds of kJ/mol of internal energy. Information is obtained showing to what extent energy transfer theories designed for low vibrational energy can be applied in this case. Strong evidence is also obtained suggesting that qualitatively different mechanisms such as “transient chemical bond formation” can influence the rate of vibrational energy transfer at high vibrational energy. Vibrational energy transfer of highly vibrationally excited O2 is of current interest to the full understanding of the stratospheric ozone problem. This problem and initial experimental results are also presented.
https://doi.org/10.1142/9789812831880_0018
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Assigning spectra and inferring dynamics from c.w. data can be difficult, and sometimes ambiguous and controversial. The ambiguity can be due to a poor understanding of the nature of the “feature” state whose Franck–Condon amplitudes determine the spectral intensities. Such difficulties can arise when the vibrational overlaps are small, corresponding to the wings of an absorption or emission band. This is the case in SEP at 28000 cm−1 in acetylene or in typical radiationless processes.
https://doi.org/10.1142/9789812831880_0021
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https://doi.org/10.1142/9789812831880_0024
Stimulated Emission Pumping (SEP) and other double resonance techniques provide very large quantities of high-resolution, wide-dynamic-range, quantum-number-sorted spectral data. Deriving information about intramolecular dynamics without detailed line-by-line assignment of fully-resolved transitions between individual eigenstates requires the development of new methods of recognizing patterns and of identifying hierarchical levels of coupling in the spectrum. Power spectrum analysis, and methods using level statistics have been the only alternative to traditional eigenstate assignment and modeling methods for extracting dynamical behavior. We illustrate the limitations of these methods and describe two promising new techniques for spectral pattern recognition. The first, the extended autocorrelation function (XAC), allows complex patterns parameterized in a multi-dimensional way to be located in a spectrum in the presence of interfering data. We describe the motivation for this method, and illustrate its application to synthetic systems, and to C2H2 dispersed fluorescence data. The second, parsimonious trees, allows direct model-free identification of multiple clusters of coupling matrix element values from a spectrum in which the underlying dynamics has a hierarchical or sequential structure. For this method, we also describe the motivation, apply it to synthetic systems, and to both band origin and rovibrational data in the optical spectrum of NO2.
https://doi.org/10.1142/9789812831880_0025
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https://doi.org/10.1142/9789812831880_bmatter
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