Ice Age : Chemo-dynamical modeling of Cha-MMS1 to predict new solid-phase species for detection with JWST
Mihwa Jin, Ka Ho Lam, Melissa K. McClure, Jeroen Terwisscha van, Scheltinga, Zhi-Yun Li, Adwin Boogert, Eric Herbst, Shane W. Davis, and Robin, T. Garrod

TL;DR
This study uses chemo-dynamical modeling to predict complex organic molecules in interstellar ice, assessing their detectability with JWST in star-forming regions like Cha-MMS1.
Contribution
It introduces a coupled chemo-dynamical model combining gas-grain chemistry with radiative hydrodynamics to predict new solid-phase species for JWST detection.
Findings
Six oxygen-bearing COMs can reach >0.01% abundance relative to water ice.
Infrared spectral analysis suggests COM detection may be challenging with JWST NIRCAM.
MIRI observations could potentially identify COM ice features in rich environments.
Abstract
Chemical models and experiments indicate that interstellar dust grains and their ice mantles play an important role in the production of complex organic molecules (COMs). To date, the most complex solid-phase molecule detected with certainty in the ISM is methanol, but the James Webb Space Telescope (JWST) may be able to identify still larger organic species. In this study, we use a coupled chemo-dynamical model to predict new candidate species for JWST detection toward the young star-forming core Cha-MMS1, combining the gas-grain chemical kinetic code MAGICKAL with a 1-D radiative hydrodynamics simulation using Athena++. With this model, the relative abundances of the main ice constituents with respect to water toward the core center match well with typical observational values, providing a firm basis to explore the ice chemistry. Six oxygen-bearing COMs (ethanol, dimethyl ether,…
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Taxonomy
TopicsGeological and Geochemical Analysis · Earthquake Detection and Analysis · earthquake and tectonic studies
