We present SimSpin, a new, public, software framework for generating integral field spectroscopy (IFS) data cubes from N-body/hydrodynamical simulations of galaxies, which can be compared directly with observational datasets. SimSpin provides a consistent method for studying a galaxy’s stellar component. It can be used to explore how observationally inferred measurements of kinematics, such as the spin parameter $\lambda_R$ , are impacted by the effects of, for example, inclination, seeing conditions, distance. SimSpin is written in R and has been designed to be highly modular, flexible, and extensible. It is already being used by the astrophysics community to generate IFS-like cubes and FITS files for direct comparison of simulations to observations. In this paper, we explain the conceptual framework of SimSpin; how it is implemented in R; and we demonstrate SimSpin’s current capabilities, providing as an example a brief investigation of how numerical resolution affects how reliably we can recover the intrinsic stellar kinematics of a simulated galaxy.

中文翻译：

---

SimSpin——构建模拟 IFS 运动学数据立方体

我们提出模拟旋转，一个新的公共软件框架，用于生成积分场光谱 (IFS) 数据立方体ñ-星系的体/流体动力学模拟，可以直接与观测数据集进行比较。模拟旋转为研究星系的恒星成分提供了一种一致的方法。它可用于探索如何通过观察推断运动学的测量值，例如自旋参数 $\lambda_R$ , 会受到倾角、视线条件、距离等因素的影响。模拟旋转是用 R 编写的，被设计成高度模块化、灵活和可扩展的。天体物理学界已经在使用它来生成类似 IFS 的立方体和 FITS 文件，以便将模拟与观测结果进行直接比较。在本文中，我们解释了概念框架模拟旋转; 它是如何在 R 中实现的；我们展示模拟旋转的当前能力，作为一个例子，简要研究了数值分辨率如何影响我们恢复模拟星系内在恒星运动学的可靠性。