4.6 Article

Diffusion Activation Energy and Desorption Activation Energy for Astrochemically Relevant Species on Water Ice Show No Clear Relation

Journal

ASTROPHYSICAL JOURNAL LETTERS
Volume 933, Issue 1, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.3847/2041-8213/ac78e9

Keywords

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Funding

  1. JSPS KAKENHI [17H06087, 18H05222, 20H05847, 21K13967]

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The activation energies for desorption and surface diffusion of adsorbed molecules on dust grains are important parameters in interstellar chemistry. While the desorption activation energy can be measured in the laboratory, the data for the surface diffusion activation energy is limited. In this study, the researchers experimentally measured the surface diffusion activation energy for several adsorbed species on water-ice surfaces and found that the scaling factor ranges from 0.2 to 0.7 depending on the species. They also conducted multiple simulations to address the uncertainties and identified key species for further investigation.
The activation energies for desorption (E (des)) and for surface diffusion (E (sd)) of adsorbed molecules on dust grains are two of the most important parameters for the chemistry in the interstellar medium. Although E (des) is often measured by laboratory experiments, the measurement of E (sd) is sparse. Due to the lack of data, astrochemical models usually assume a simple scaling relation, E (sd) = f E (des), where f is a constant, irrespective of the adsorbed species. Here, we experimentally measure E (sd) for CH4, H2S, OCS, CH3OH, and CH3CN on water-ice surfaces using an ultrahigh-vacuum transmission electron microscope. Compiling the measured E (sd) values and E (des) values from the literature, we find that the value of f ranges from similar to 0.2 to similar to 0.7, depending on the species. Unless f (or E (sd)) for the majority of species is available, a natural alternative approach for astrochemical models is running multiple simulations, varying f for each species randomly. In this approach, ranges of molecular abundances predicted by multiple simulations, rather than abundances predicted by each simulation, are important. We here run 10,000 simulations of astrochemical models of molecular clouds and protostellar envelopes, randomly assigning a value of f for each species. In the former case, we identify several key species whose E (sd) most strongly affects the uncertainties of the model predictions; E (sd) for those species should be investigated in future laboratory and quantum chemical studies. In the latter case, uncertainties in the E (sd) of many species contribute to the uncertainties in the model predictions.

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