Multilayer modeling of porous grain surface chemistry I. The GRAINOBLE model
arXiv:1111.4165 · doi:10.1051/0004-6361/201117802
Abstract
Mantles of iced water, mixed with CO, H2CO, and CH3OH are formed during the so called prestellar core phase. In addition, radicals are also thought to be formed on the grain surfaces, and to react to form complex organic molecules later on, during the warm-up phase of the protostellar evolution. We aim to study the formation of the grain mantles during the prestellar core phase and the abundance of H2CO, CH3OH, and radicals trapped in them. We have developed a macrosopic statistic multilayer model that follows the formation of grain mantles with time and that includes two effects that may increase the number of radicals trapped in the mantles: i) at each time of the mantle formation, only the surface layer is chemically active rather than the entire bulk, and ii) the porous structure of grains allows to trap reactive particles. The model considers a network of H, O and CO forming neutral species such as water, CO, formaldehyde, and methanol, plus several radicals. We run a large grid of models to study the impact of the mantle multilayer nature and grain porous structure. In addition, we explored the influence of the uncertainty of other key parameters on the mantle composition. Our model predicts relatively large abundances of radicals. In addition, the multilayer approach makes it possible to follow the chemical differentiation within the grain mantle, showing that the mantles are far from being uniform. For example, methanol is mostly present in the outer layers of the mantles whereas CO and other reactive species are trapped in the inner layers. The overall mantle composition depends on the density and age of the prestellar core, and on some microscopic parameters. Comparison with observations allows us to constrain the value of few parameters and provide some indications on the physical conditions during the formation of the ices.
20 pages and 19 figures. Accepted in Astronomy & Astrophysics
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