标题： 光谱线分析/建模（SLAM）I：pvanalysis 显示英文标题

标题： Spectral Line Analysis/Modeling (SLAM) I: pvanalysis

摘要： 年轻恒星天体（YSOs）在（亚）毫米波长下的线观测提供了恒星和行星形成环境中气体动力学的重要信息。 对于Class 0 和 I YSOs，识别开普勒转动特别重要，因为它揭示了仍然被吸积包层包围的旋转支持盘的存在，并使我们能够动态测量原恒星质量。 我们开发了一个名为SLAM（光谱线分析/建模）的Python库，主要专注于（亚）毫米波长下发射线数据的分析。 在这里，我们介绍了SLAM中的pvanalysis工具的概述，该工具旨在识别盘的开普勒转动并使用发射线数据的位置-速度（PV）图测量中心物体的动力学质量。 与详细的辐射转移模型相比，该工具的优势在于它分析给定数据的观测特征，因此需要较少的计算时间和参数假设。 本文介绍了该工具的基本概念和使用方法，展示了对观测数据的应用，并讨论了剩余的注意事项。 显示英文摘要

摘要： Line observations of young stellar objects (YSOs) at (sub)millimeter wavelengths provide essential information of gas kinematics in star and planet forming environments. For Class 0 and I YSOs, identification of Keplerian rotation is of particular interest, because it reveals presence of rotationally-supported disks that are still being embedded in infalling envelopes and enables us to dynamically measure the protostellar mass. We have developed a python library SLAM (Spectral Line Analysis/Modeling) with a primary focus on analyses of emission line data at (sub)millimeter wavelengths. Here, we present an overview of the pvanalysis tool from SLAM, which is designed to identify Keplerian rotation of a disk and measure the dynamical mass of a central object using a position-velocity (PV) diagram of emission line data. The advantage of this tool is that it analyzes observational features of given data and thus requires few computational time and parameter assumptions, in contrast to detailed radiative transfer modelings. In this article, we introduce the basic concept and usage of this tool, present an application to observational data, and discuss remaining caveats.