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arXiv · 2007.13022

The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres

Abstract

The ExoMol database (www.exomol.com) provides molecular data for spectroscopic studies of hot atmospheres. While the data is intended for studies of exoplanets and other astronomical bodies, the dataset is widely applicable. The basic form of the database is extensive line lists; these are supplemented with partition functions, state lifetimes, cooling functions, Landé g-factors, temperature-dependent cross sections, opacities, pressure broadening parameters, $k$-coefficients and dipoles. This paper presents the latest release of the database which has been expanded to consider 80 molecules and 190 isotopologues totaling over 700 billion transitions. While the spectroscopic data is concentrated at infrared and visible wavelengths, ultraviolet transitions are being increasingly considered in response to requests from observers. The core of the database comes from the ExoMol project which primarily uses theoretical methods, albeit usually fine-tuned to reproduce laboratory spectra, to generate very extensive line lists for studies of hot bodies. The data has recently been supplemented by line lists deriving from direct laboratory observations, albeit usually with the use of ab initio transition intensities. A major push in the new release is towards accurate characterisation of transition frequencies for use in high resolution studies of exoplanets and other bodies.

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Jonathan Tennyson, Sergei N. Yurchenko, Ahmed F. Al-Refaie, Victoria H. J. Clark, Katy L. Chubb, Eamon K. Conway, Akhil Dewan, Maire N. Gorman, Christian Hill, A. E. Lynas-Gray, Thomas Mellor, Laura K. McKemmish, Alec Owens, Oleg L. Polyansky, Mikhail Semenov, Wilfrid Somogyi, Giovanna Tinetti, Apoorva Upadhyay, Ingo Waldmann, Yixin Wang, Samuel Wright, Olga P. Yurchenko. 2020-07-25. The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres. https://doi.org/10.1016/j.jqsrt.2020.107228

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