ExoMol项目中的光吸附数据结构

J. Tennyson, Marco Pezzella, Jingxin Zhang, S. Yurchenko
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引用次数: 0

摘要

ExoMol数据库目前为热大气中分子的光谱特性建模提供了全面的谱线列表。将提供的数据的光谱范围扩展到紫外(UV)波长,可以发挥ExoMol数据结构中目前未考虑的三个过程,即光解离,这本身就是一个重要的化学过程,连续吸收和预解离的不透明度贡献可以导致显着和可观察到的线拓宽效应。提出的数据结构将允许正确捕获这些过程,并表示(强)温度依赖效应预测的紫外线分子光吸收,特别是光解作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data structures for photoadsorption within the ExoMol project
The ExoMol database 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.
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