Issue |
A&A
Volume 675, July 2023
|
|
---|---|---|
Article Number | A165 | |
Number of page(s) | 15 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202346188 | |
Published online | 18 July 2023 |
Astrochemical models of interstellar ices: History matters
1
Laboratoire d’Astrophysique de Bordeaux (LAB), Univ. Bordeaux, CNRS, B18N, allée Geoffroy Saint-Hilaire,
33615
Pessac, France
e-mail: valentine.wakelam@u-bordeaux.fr
2
Université Bordeaux, CNRS,
LP2I Bordeaux, UMR 5797,
33170
Gradignan, France
3
Institut des Sciences Moléculaires (ISM), CNRS, Univ. Bordeaux,
351 cours de la Libération,
33400
Talence, France
4
Institut des sciences Moléculaires d’Orsay, CNRS, Université Paris-Saclay,
Bât 520, Rue André Rivière,
91405
Orsay, France
5
CY Cergy Paris Université, Observatoire de Paris, PSL Research University, Sorbonne Université, CNRS, LERMA,
95000
Cergy, France
6
Physique des Interactions Ioniques et Moléculaires, CNRS, Aix Marseille Univ.,
13397
Marseille, France
7
Laboratoire des deux infinis Irène Joliot Curie (IJClab), CNRS-IN2P3, Université Paris-Saclay,
91405
Orsay, France
Received:
20
February
2023
Accepted:
2
June
2023
Context. Ice is ubiquitous in the interstellar medium. As soon as it becomes slightly opaque in the visible, it can be seen for visual extinctions (AV) above ~1.5. The James Webb Space Telescope (JWST) will observe the ice composition toward hundreds of lines of sight, covering a broad range of physical conditions in these extinct regions.
Aims. We model the formation of the main constituents of interstellar ices, including H2O, CO2, CO, and CH3OH. 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.
Methods. 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.
Results. 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 key parameter was revealed to be the dust temperature. When the dust temperature is higher than 12 K, CO2 will form efficiently at the expense of H2O, while at temperatures below 12 K, it will not form. Whatever hypothesis we assumed for the chemistry (within realistic conditions), the static simulations failed to reproduce the observed trends of interstellar ices in our target core. In a second step, we simulated the chemical evolution of parcels of gas undergoing different physical and chemical situations throughout the molecular cloud evolution and starting a few 107 yr prior to the core formation (dynamical simulations). We obtained a large sample of possible ice compositions. The ratio of the different ice components seems to be approximately constant for AV > 5, and in good agreement with the observations. Interestingly, we find that grain temperature and low AV conditions significantly affect the production of ice, especially for CO2, which shows the highest variability.
Conclusions. Our dynamical simulations satisfactorily reproduce the main trends already observed for interstellar ices. Moreover, we predict that the apparent constant ratio of CO2/H2O observed to date is probably not true for regions of low AV, and that the history of the evolution of clouds plays an essential role, even prior to their formation.
Key words: astrochemistry / ISM: clouds / ISM: molecules
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.