GGCHEMPY: A Pure Python-based Gas-grain Chemical Code for Efficient Simulation of Interstellar Chemistry

作     者：Jixing Ge Jixing Ge

作者机构：Chinese Academy of Sciences South America Center for AstronomyNational Astronomical ObservatoriesCASBeijing 100101China 

出 版 物：《Research in Astronomy and Astrophysics》 (天文和天体物理学研究（英文版）)

年 卷 期：2022年第22卷第1期

页      面：30-45页

核心收录：

学科分类：07[理学] 070401[理学-天体物理] 0704[理学-天文学] 

基　　金：Supported by CASSACA 

主　　题：astrochemistry (ISM:)evolution ISM:molecules ISM:abundances methods:numerical 

摘      要：In this paper,we present a new gas-grain chemical code for interstellar clouds written in pure Python(GGCHEMPY(GGCHEMPY is available on https://***/JixingGE/GGCHEMPY)).By combining with the high-performance Python compiler Numba,GGCHEMPY is as efficient as the Fortran-based *** the Python features,flexible computational workflows and extensions become *** a showcase,GGCHEMPY is applied to study the general effects of three-dimensional projection on molecular distributions using a two-core system which can be easily extended for more complex *** comparing the molecular distribution differences between two overlapping cores and two merging cores,we summarized the typical chemical differences such as N2 H+,HC3 N,C2 S,H2 CO,HCN and C2 H,which can be used to interpret 3 D structures in molecular clouds.