Astrochemical models of interstellar ices: History matters
A. Cl\'ement, A. Taillard, V. Wakelam, P. Gratier, J.-C. Loison, E., Dartois, F. Dulieu, J. A. Noble, and M. Chabot

TL;DR
This study models interstellar ice formation to understand how physical parameters influence composition and compares static versus dynamic simulations, highlighting the importance of cloud history in ice chemistry.
Contribution
It introduces dynamical astrochemical simulations that better reproduce observed ice compositions, emphasizing the role of cloud evolution history.
Findings
Dust temperature above 12 K favors CO2 formation at the expense of H2O.
Static models fail to match observed ice trends in the target core.
Dynamical simulations successfully reproduce main observed trends.
Abstract
Ice is ubiquitous in the interstellar medium. We model the formation of the main constituents of interstellar ices, including H2O, CO2 , CO, and CH3 OH. We strive to understand what physical or chemical parameters influence the final composition of the ice and how they benchmark to what has already been observed, with the aim of applying these models to the preparation and analysis of JWST observations. We used the Nautilus gas-grain model, which computes the gas and ice composition as a function of time for a set of physical conditions, starting from an initial gas phase composition. All important processes (gas-phase reactions, gas-grain interactions, and grain surface processes) are included and solved with the rate equation approximation. We first ran an astrochemical code for fixed conditions of temperature and density mapped in the cold core L429-C to benchmark the chemistry. One…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Astro and Planetary Science · Astronomy and Astrophysical Research
