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Re-visiting the observation of the vibronic sequence of the C2 Swan system.

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Title: Re-visiting the observation of the vibronic sequence of the C2 Swan system.
Authors: Bornhauser, P.1, Sych, Y.1, Knopp, G.1, Gerber, T.1, Radi, P.P.1 peter.radi@psi.ch
Source: Chemical Physics Letters. May2013, Vol. 572, p16-20. 5p.
Subjects: Analytical chemistry, Energy bands, Radiative transitions, Physical constants, Least squares, Standard deviations
Abstract: Highlights: [•] Analysis of the (4,8) band of the Swan system. [•] Assignment of 122 transitions in the band and five extra lines to the perturbing state. [•] Improved molecular constants for and from least-squares fit with a root mean square error of 0.012cm−1. [Copyright &y& Elsevier]
Copyright of Chemical Physics Letters is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 89272567
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Chemical+Physics+Letters%22">Chemical Physics Letters</searchLink>. May2013, Vol. 572, p16-20. 5p.
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  Data: Highlights: [•] Analysis of the (4,8) band of the Swan system. [•] Assignment of 122 transitions in the band and five extra lines to the perturbing state. [•] Improved molecular constants for and from least-squares fit with a root mean square error of 0.012cm−1. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Chemical Physics Letters is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.cplett.2013.04.011
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        Text: English
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              Text: May2013
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