Interstellar Simulations Using A Unified Microscopic-Macroscopic Monte Carlo Model with a full Gas-Grain Network including Bulk Diffusion in Ice Mantles
Qiang Chang, Eric herbst

TL;DR
This paper introduces a comprehensive Monte Carlo simulation method for interstellar cloud chemistry, incorporating photon penetration, bulk diffusion, and a full gas-grain network, to better understand molecular formation in cold dense clouds.
Contribution
The study develops an improved unified microscopic-macroscopic Monte Carlo model that includes photon penetration and bulk diffusion in ice mantles, advancing previous simpler models.
Findings
Major stable species abundances match observations across models.
Radical abundances vary significantly with photon penetration and diffusion.
Complex molecules form at temperatures as low as 10 K.
Abstract
We have designed an improved algorithm that enables us to simulate the chemistry of cold dense interstellar clouds with a full gas-grain reaction network. The chemistry is treated by a unified microscopic-macroscopic Monte Carlo approach that includes photon penetration and bulk diffusion. To determine the significance of these two processes, we simulate the chemistry with three different models. In Model 1, we use an exponential treatment to follow how photons penetrate and photodissociate ice species throughout the grain mantle. Moreover, the products of photodissociation are allowed to diffuse via bulk diffusion and react within the ice mantle. Model 2 is similar to Model 1 but with a slower bulk diffusion rate. A reference Model 0, which only allows photodissociation reactions to occur on the top two layers, is also simulated. Photodesorption is assumed to occur from the top two…
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