Analysis of high resolution FTIR spectra from synchrotron sources using evolutionary algorithms
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Date
2015-04-17
Authors
van Wijngaarden, Jennifer
Desmond, Durell
Leo Meerts, W.
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Molecular Spectroscopy
Abstract
Room temperature Fourier transform infrared spectra of the four-membered heterocycle trimethylene sulfide were collected with a resolution of 0.00096cm−1 using synchrotron radiation from the Canadian Light Source from 500 to 560cm−1. The in-plane ring deformation mode (ν13) at ∼529cm−1 exhibits dense rotational structure due to the presence of ring inversion tunneling and leads to a doubling of all transitions. Preliminary analysis of the experimental spectrum was pursued via traditional methods involving assignment of quantum numbers to individual transitions in order to conduct least squares fitting to determine the spectroscopic parameters. Following this approach, the assignment of 2358 transitions led to the experimental determination of an effective Hamiltonian. This model describes transitions in the P and R branches to J′=60 and Ka′=10 that connect the tunneling split ground and vibrationally excited states of the ν13 band although a small number of low intensity features remained unassigned. The use of evolutionary algorithms (EA) for automated assignment was explored in tandem and yielded a set of spectroscopic constants that re-create this complex experimental spectrum to a similar degree. The EA routine was also applied to the previously well-understood ring puckering vibration of another four-membered ring, azetidine (Zaporozan et al., 2010). This test provided further evidence of the robust nature of the EA method when applied to spectra for which the underlying physics is well understood.
Description
Keywords
rovibrational spectroscopy, Evolutionary algorithms, Genetic algorithms, Synchrotron, Infrared, Azetidine, trimethylene sulfide
Citation
van Wijngaarden, J.; Desmond, D.; Leo Meerts, W. Analysis of high resolution FTIR spectra from synchrotron sources using evolutionary algorithms. J. Mol. Spectrosc. 2015, 315, 107-113.