A pure Python-based chemical gas-grain code for efficient simulation of interstellar chemistry


GGCHEMPY: A pure Python-based gas grain chemistry code for the efficient simulation of interstellar chemistry

Status report from: arXiv.org e-print archive
Posted on Friday October 22nd, 2021

Jixing Ge

In this paper we present a new chemical gas grain code for interstellar clouds written in pure python (GGCHEMPY). Combined with the powerful Numba Python compiler, GGCHEMPY is just as efficient as the Fortran-based version. Flexible computing workflows and extensions are possible with the Python functions. As a showcase example, GGCHEMPY is used to study the general effects of three-dimensional projection on molecular distributions with a two-core system that can easily be extended for more complex cases. By comparing the molecular distribution differences between two overlapping nuclei and two merging nuclei, we have summarized the typical chemical differences such as N2H +, HC3N, C2S, H2CO, HCN and C2H that can be used to interpret 3D structures in molecular clouds.

Comments: Accepted for publication in RAA. GGCHEMPY is available at this https URL

Subjects: Astrophysics of the Galaxies (astro-ph.GA)

Quote as: arXiv: 2110.11117 [astro-ph.GA] (or arXiv: 2110.11117v1 [astro-ph.GA] for this version)

Filing process

From: Jixing Ge

[v1] Thu, Oct 21, 2021 13:05:49 UTC (2,629 KB)


Astrobiology, astrochemistry

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