Line parameters measurements and modeling for the ν<SUB>6</SUB> band of CH<SUB>3</SUB>I: A complete line list for atmospheric databases - INSU - Institut national des sciences de l'Univers Accéder directement au contenu
Article Dans Une Revue Journal of Quantitative Spectroscopy and Radiative Transfer Année : 2019

Line parameters measurements and modeling for the ν6 band of CH3I: A complete line list for atmospheric databases

Résumé

The present work is dedicated to the ν6 band of 12CH3I with the aim of generating a complete line list for databases. High resolution Fourier transform spectra have been recorded in MONARIS and a multispectrum fitting procedure using Voigt profile has been applied to retrieve line positions, intensities, and self-broadening coefficients for around 1200 transitions of the ν6 band between 854 and 963 cm-1. Rotational dependences of transition dipole moment squared and self-widths have been studied and empirically modeled. Line positions are retrieved with accuracy equal to 4.10-4 cm-1. The accuracy of line intensities and self-widths measurements is estimated between 5 and 10 %. Theoretical estimates of CH3I self-broadening coefficients for large ranges of rotational quantum numbers (0 ≤ J ≤ 70, 0 ≤ K ≤ 20) are also provided in the frame of a semi-classical approach with exact trajectories and of a semi-empirical method including a correction factor to the Anderson-type line-width expression. Comparisons of our results with the data previously published in the literature are presented and discussed. A complete line list of 5787 transitions is generated. Available as supplementary material, this line list can be used for spectroscopic databases and atmospheric or industrial detection of CH3I.

Dates et versions

insu-03712666 , version 1 (04-07-2022)

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Citer

E. Raddaoui, L. Troitsyna, A. Dudaryonok, P. Soulard, M. Guinet, et al.. Line parameters measurements and modeling for the ν6 band of CH3I: A complete line list for atmospheric databases. Journal of Quantitative Spectroscopy and Radiative Transfer, 2019, 232, pp.165-179. ⟨10.1016/j.jqsrt.2019.04.036⟩. ⟨insu-03712666⟩
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