This is the first of a series of papers that will introduce a user-friendly, detailed, and modular Galactic Chemical Evolution Model, GalCEM, that tracks isotope masses as a function of time in a given galaxy. The list of tracked isotopes automatically adapts to the complete set provided by the input yields. The present iteration of GalCEM tracks 86 elements broken down into 451 isotopes. The prescription includes massive stars, low-to-intermediate-mass stars, and Type Ia supernovae as enrichment channels. We have developed a preprocessing tool that extracts multidimensional interpolation curves from the input yield tables. These interpolation curves improve the computation speeds of the full convolution integrals, which are computed for each isotope and for each enrichment channel. We map the integrand quantities onto consistent array grids in order to perform the numerical integration at each time step. The differential equation is solved with a fourth-order Runge–Kutta method. We constrain our analysis to the evolution of all light and intermediate elements from carbon to zinc, and lithium. Our results are consistent up to the extremely metal-poor regime with Galactic abundances. We provide tools to track the mass rate change of individual isotopes on a typical spiral galaxy with a final baryonic mass of 5 × 10¹⁰ M _⊙. Future iterations of the work will extend to the full periodic table by including the enrichment from neutron-capture channels as well as spatially dependent treatments of galaxy properties. GalCEM is publicly available at https://github.com/egjergo/GalCEM.

中文翻译：

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GalCEM。一、开源同位素化学演化详细代码

这是一系列论文中的第一篇，将介绍一个用户友好的、详细的和模块化的银河化学演化模型,GalCEM，跟踪给定星系中同位素质量随时间的变化。跟踪同位素列表自动适应输入产量提供的完整集合。当前的迭代GalCEM跟踪分解成 451 种同位素的 86 种元素。该处方包括大质量恒星、中低质量恒星和 Ia 型超新星作为富集通道。我们开发了一种预处理工具，可以从输入的收益率表中提取多维插值曲线。这些插值曲线提高了全卷积积分的计算速度，这些积分是针对每个同位素和每个富集通道计算的。我们将被积函数映射到一致的阵列网格上，以便在每个时间步执行数值积分。微分方程用四阶 Runge-Kutta 方法求解。我们将分析限制在从碳到锌和锂的所有轻元素和中间元素的演变。我们的结果与银河系丰度极度贫乏的区域是一致的。¹⁰ 米 _⊙ . 这项工作的未来迭代将扩展到完整的元素周期表，包括中子捕获通道的富集以及星系特性的空间相关处理。GalCEM公开于https://github.com/egjergo/GalCEM.