Virtual atomic and molecular data centre

Dubernet, Marie‐Lise; Boudon, Vincent; Culhane, J. L.; Dimitrijevic, M. S.; Фазлиев, А. З.; Joblin, C.; Kupka, F.; Leto, G.; Sidaner, Pierre Le; Loboda, P. A.; Mason, H. E.; Mason, Nigel J.; Mendoza, C.; Mulas, G.; Millar, T. J.; Núñez, Luis A.; Perevalov, V.I.; Piskunov, Nikolai; Ralchenko, Yu.; Rixon, G.; Rothman, Laurence S.; Roueff, E.; Ryabchikova, T. A.; Ryabtsev, A. N.; Sahal‐Bréchot, S.; Schmitt, Bernard; Schlemmer, Stephan; Tennyson, Jonathan; Tyuterev, Vladimir G.; Walton, N. A.; Wakelam, Valentine; Zeippen, C. J.

doi:10.1016/j.jqsrt.2010.05.004

Cited by 186 publications

(109 citation statements)

References 35 publications

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“…VAMDC, the Virtual Atomic and Molecular Data Centre, aims to build a reliable, open, flexible interface to existing atomic and molecular (A&M) data hosted in various databases worldwide (Dubernet et al 2010;Rixon et al 2011). It will provide the wide community of both European and global users with access to a comprehensive, federated set of A&M data and application resources 3 .…”

Section: Vamdc Collaborationmentioning

confidence: 99%

The UMIST database for astrochemistry 2012

McElroy

Walsh

Markwick

et al. 2013

A&A

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We present the fifth release of the UMIST Database for Astrochemistry (UDfA). The new reaction network contains 6173 gas-phase reactions, involving 467 species, 47 of which are new to this release. We have updated rate coefficients across all reaction types. We have included 1171 new anion reactions and updated and reviewed all photorates. In addition to the usual reaction network, we also now include, for download, state-specific deuterated rate coefficients, deuterium exchange reactions and a list of surface binding energies for many neutral species. Where possible, we have referenced the original source of all new and existing data. We have tested the main reaction network using a dark cloud model and a carbon-rich circumstellar envelope model. We present and briefly discuss the results of these models.

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Section: Vamdc Collaborationmentioning

confidence: 99%

The UMIST database for astrochemistry 2012

McElroy

Walsh

Markwick

et al. 2013

A&A

889

880

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“…However, models of low-mass, late-type stars have undergone continuous improvements, from the early work by Tsuji (1969), Auman (1969), and Mould (1975Mould ( , 1976 to the work by Brett & Plez (1993), Brett (1995a,b), Allard & Hauschildt (1995), Hauschildt et al (1999) with their extensive grid of NextGen models, and the improved MARCS models (Gustafsson et al 2008). New molecular and atomic line data are collected and organised in large databases such as VALD (Kupka et al 1999) and VAMDC (Dubernet et al 2010) and will improve the situation further.…”

Section: Introductionmentioning

confidence: 99%

M-dwarf metallicities. A high-resolution spectroscopic study in the near infrared

Önehag

Heiter

Gustafsson

et al. 2012

A&A

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Context. The relatively wide spread in the derived metallicities ([Fe/H]) of M dwarfs shows that various approacheshave not yet converged to consistency. The presence of strong molecular features and incomplete line lists for the corresponding molecules have made determining the metallicity of M dwarfs difficult. Furthermore, the faint M dwarfs require long exposure times for the signalto-noise ratio needed for a detailed spectroscopic abundance analysis. Aims. We present a high-resolution (R ∼ 50 000) spectroscopic study of a sample of eight single M dwarfs and three wide-binary systems observed in the infrared J band. Methods. The absence of large molecular contributions allows for a precise continuum placement. We derived metallicities based on the best fit of synthetic spectra to the observed spectra. To verify the accuracy of the applied atmospheric models and test our synthetic spectrum approach, three binary systems with a K-dwarf primary and an M-dwarf companion were observed and analysed along with the single M dwarfs. Results. We obtain good agreement between the metallicities derived for the primaries and secondaries of our test binaries, thereby confirming the reliability of our method of analysing M dwarfs. Our metallicities agree well with some earlier determinations, and deviate from others. Conclusions. We conclude that spectroscopic abundance analysis in the J band is a reliable method for establishing the metallicity scale for M dwarfs. We recommend its application to a larger sample covering lower, as well as higher, metallicities. Further prospects for the method include abundance determinations for individual elements.

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“…The Virtual Atomic and Molecular Data Centre (VAMDC, http://vamdc.eu) is a consortium of research institutions (including Russian ones) that share a common technical framework for the maintenance and distribution of atomic and molecular data (Dubernet et al 2010;Rixon et al 2011). The VAMDC Consortium technical framework relies on the use of the e-science VAMDC infrastructure that provides the international research community with access to a broad range of atomic and molecular data compiled within a set of databases accessible through the provision of a single portal.…”

Section: Spectroscopic Datamentioning

confidence: 99%

Russian Virtual Observatory: Data Sources

et al. 2016

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Abstract. The purpose of this review is to analyze main directions of creation and functioning of major data sources developed by Russian astronomers or with their participation and to compare them with the worldwide trends in these fields. We discuss astronomical space missions of the past, present, and future (Astron, INTEGRAL, WSO-UV, Spectrum Roentgen Gamma, Lyra-B), high-quality photometric atlases and catalogues, and spectroscopic data sources, primarily VALD and the global VAMDC framework for the maintenance and distribution of atomic and molecular data. We describe collection, analysis, and dissemination of astronomical data on minor bodies of the Solar System and on variable stars. Also described is the project joining data for all observational types of binary and multiple stars, Binary star DataBase (BDB).

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Virtual atomic and molecular data centre

Abstract: The Virtual Atomic and Molecular Data Centre (VAMDC, http://www.vamdc.eu) is a European Union funded collaboration between groups involved in the generation, Contents lists available at ScienceDirect

Cited by 186 publications

References 35 publications

The UMIST database for astrochemistry 2012

The UMIST database for astrochemistry 2012

M-dwarf metallicities. A high-resolution spectroscopic study in the near infrared

Russian Virtual Observatory: Data Sources

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