ExoMol项目中用于光吸收的数据结构
Data structures for photoabsorption within the ExoMol project
AI总结:
针对ExoMol扩展至紫外波段的需求,本文提出可统一表征光解离、连续吸收与预解离及其温度依赖效应的数据结构。
摘要:
ExoMol数据库目前提供全面的谱线列表,用于模拟高温大气中分子的光谱性质。将所提供数据的光谱范围扩展到紫外(UV)波长,会引入ExoMol数据结构目前尚未考虑的三个过程,即光解离(其本身就是一个重要的化学过程)、连续吸收导致的不透明度贡献,以及可能产生显著且可观测谱线展宽效应的预解离。本文提出了若干数据结构,使这些过程能够被正确捕获,并能够表征通常针对紫外分子光吸收、尤其是针对光解离所预测的(强烈的)温度依赖效应。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。