| 光谱学与光谱分析 |
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| Study on the Comet-Tail System of 12C16O+ in the Near-Infrared Region |
| LI Wei1, YANG Xiao-hua1, GAN Yu-jie1, WU Ling2, GUO Ying-chun1, LIU Yu-yan1, CHEN Yang-qin1* |
1.Key Laboratory of Optical and Magnetic Resonance Spectroscopy, Department of Physics, East China Normal University, Shanghai 200062, China
2.State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics，Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China |
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Abstract The molecular cation CO+ is a very important transient molecular radical, and the spectra of the ion has been investigated by numerous researchers.Optical-heterodyne-magnetic-rotation-enhanced velocity modulation spectroscopy(OH-MR-VMS) was employed to measure the comet-tail system (A2Πi-X2Σ+) of 12C16O+ molecular ion.The vibrational rotation absorption spectra were observed in the near-infrared region, including three bands of (0，3)，(1，4)and(3，6).A set of precise molecular constants for the A2Πi(ν′＝0，1，3) were determined using the least-squares fit.This experiment has further proved that OH-MR-VMS is very valuable in measuring absorption spectra of molecular ions.
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Received: 2004-03-16
Accepted: 2004-07-31
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Corresponding Authors:
CHEN Yang-qin
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| Cite this article: |
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LI Wei,YANG Xiao-hua,GAN Yu-jie, et al. Study on the Comet-Tail System of 12C16O+ in the Near-Infrared Region [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(08): 1250-1252.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2005/V25/I08/1250 |
[1] Pluvinel A B, Baldet F.Comput.Rend., 1909, 148: 759.
[2] Katayama D H, Welsh J A.J.Chem.Phys., 1981, 75: 4224.
[3] Brown R D, Dittman R G, Mcgilvery D C.J.Mol.Spectrosc., 1984, 104: 337.
[4] Haridass C, Prasad C V V, Reddy S P.Astrophys.J., 1992, 388: 669.
[5] Haridass C, Prasad C V V, Reddy S P.J.Mol.Spectrosc., 2000, 199: 180.
[6] Hua Z, Xiaohua Y, et al.Molecular Phys., 2001, 99: 1447.
[7] Krupenie P H.The Band Spectrum of Carbon Monoxide.Vol.5.Washington: NSRD-NBS), 1966.
[8] Huber K P, Herzberg G.Molecular Spectra and Molecular Structure.Vol.4, Constants of Diatomic Molecules.(New York: Van Nostrand-Reinhold), 1979.
[9] Rongjun W, Yangqin C, et al.Chem.Phys.Lett., 1999, 307： 339.
[10] WANG Rong-jun，CHEN Yang-qin(王荣军, 陈扬骎).Acta Optica Sinica(光学学报)，2000，20(1):14.
[11] WU Sheng-hai，ZHUANG Hua, YANG Xiao-hua，et al(吴升海, 庄 华, 杨晓华，等).Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2002，22(4): 569.
[12] LeRoy R J.University of Waterloo, Chemical Physics Research Report, 2000, No.CP-642R.
[13] Al-Khalili A, Ludwigs H, Royen P.Chem.Phys.Lett., 1998, 248, 191.
[14] Brown J M, Colbourn, et al.J.Mol.Spectrosc., 1979, 74: 294.
[15] Amiot C, Maillard J P, Chauville J.J.Mol.Spectrosc., 1981, 87: 196.
[16] Bembenek Z, Domin U, et al.J.Mol.Spectrosc., 1994, 165: 205.
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