The 2024 KIDA network for interstellar chemistry

V. Wakelam, P. Gratier, J. Loison, K. M. Hickson, J. Penguen, A. Mechineau
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Abstract

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.
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2024 KIDA 星际化学网络
研究星际介质(ISM)的化学成分需要实验室天体物理学、建模和观测之间的强大协同作用。特别是,天体化学模型已经发展了几十年,包括越来越多的实验室或理论研究过程。这些模型跟踪气相和星际颗粒表面的化学过程。自 2012 年以来,我们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。我们的目的是介绍最新的天体化学网络kida.uva.2024以及冰化学网络和fortran代码,以计算ISM相关物理条件下与时间相关的气体、冰表面和冰幔成分。kida.uva.2024中包含的气相化学反应以及相关速率系数是从KIDA在线数据库中精心挑选的,代表了最新的数值。计算了冷核条件下和仅考虑气相过程时的模型预测值与时间的函数关系,并与前一版本(kida.uva.2014)的预测值进行了比较。此外,还确定了关键的化学反应。包括气相和表面过程在内的模型预测结果与在冷核 TMC1-CP 中观测到的分子丰度进行了比较。对许多气相反应进行了修订或添加,以生成 kida.uva.2024。新模型对某些物种的预测相差几个数量级。然而,这个新模型与在 TMC-1(CP)中观测到的结果的吻合程度与先前网络得到的结果相似。
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