标题： 2024 KIDA星际化学网络 显示英文标题

标题： The 2024 KIDA network for interstellar chemistry

摘要： 研究星际介质（ISM）的化学组成需要实验室天体物理、建模和观测之间强有力的协同作用。 特别是，天体化学模型已经发展了几十年，并且包括越来越多在实验室或理论上研究的过程。 这些模型既跟踪气相中的化学反应，也跟踪星际尘埃颗粒表面的化学反应。 自2012年以来，我们已经为天体化学代码提供了完整的气相化学网络，可用于模拟ISM的各种环境。 我们的目标是介绍最新的天体化学网络kida.uva.2024，以及冰化学网络和用于计算在与ISM相关的物理条件下气体、冰表面和冰壳的时间依赖组成的Fortran代码。 包含在kida.uva.2024中的气相化学反应及其相关速率系数是从KIDA在线数据库中精心挑选的，并代表了最新的数值。 对于冷核心条件以及仅考虑气相过程时的模型预测是随时间计算的，并与之前版本kida.uva.2014的预测进行了比较。 此外，识别了关键的化学反应。 包括气相和表面过程的模型预测与在冷核心TMC1-CP中观测到的分子丰度进行了比较。 许多气相反应被修订或添加以生成kida.uva.2024。 新模型对某些物种的预测差异可达几个数量级。 然而，该新模型与TMC-1（CP）观测结果的吻合度与之前网络的吻合度相似。 显示英文摘要

摘要： The study of the chemical composition of the interstellar medium (ISM) requires a strong synergy between laboratory astrophysics, modeling, and observations. In particular, astrochemical models have been developed for decades now and include an increasing number of processes studied in the laboratory or theoretically. These models follow the chemistry both in the gas phase and at the surface of interstellar grains. Since 2012, we have provided complete gas-phase chemical networks for astrochemical codes that can be used to model various environments of the ISM. Our aim is to introduce the new up-to-date astrochemical network kida.uva.2024 together with the ice chemical network and the fortran code to compute time dependent compositions of the gas, the ice surface, and the ice mantles under physical conditions relevant for the ISM. The gas-phase chemical reactions, as well as associated rate coefficients, included in kida.uva.2024 were carefully selected from the KIDA online database and represent the most recent values. The model predictions for cold core conditions and for when considering only gas-phase processes were computed as a function of time and compared to the predictions obtained with the previous version, kida.uva.2014. In addition, key chemical reactions were identified. The model predictions, including both gas and surface processes, were compared to the molecular abundances as observed in the cold core TMC1-CP. Many gas-phase reactions were revised or added to produce kida.uva.2024. The new model predictions are different by several orders of magnitude for some species. The agreement of this new model with observations in TMC-1 (CP) is, however, similar to the one obtained with the previous network.