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Data structures for photoadsorption within the ExoMol project

Jonathan Tennyson·Marco Pezzella·Jingxin Zhang·Sergei N. Yurchenko
RAS Techniques and Instruments2023

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Abstract & Overview

Abstract The ExoMol data base currently provides comprehensive line lists for modelling the spectroscopic properties of molecules in hot atmospheres. Extending the spectral range of the data provided to ultraviolet (UV) wavelengths brings into play three processes not currently accounted for in the ExoMol data structure, namely photodissociation, which is an important chemical process in its own right, the opacity contribution due to continuum absorption, and predissociation which can lead to significant and observable line-broadening effects. Data structures are proposed which will allow these processes to be correctly captured and the (strong) temperature-dependent effects predicted for UV molecular photoabsorption in general and photodissociation in particular to be represented.

Cite this record

Jonathan Tennyson, Marco Pezzella, Jingxin Zhang, Sergei N. Yurchenko (2023). Data structures for photoadsorption within the ExoMol project. RAS Techniques and Instruments, 2(1), 231–237. https://doi.org/10.1093/rasti/rzad014

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Tennyson, J., Pezzella, M., Zhang, J., & Yurchenko, S. N. (2023). Data structures for photoadsorption within the ExoMol project. RAS Techniques and Instruments, 2(1), 231–237. https://doi.org/10.1093/rasti/rzad014
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