FERIA: Flat Envelope Model with Rotation and Infall under Angular Momentum Conservation

FERIA: Flat Envelope Model with Rotation and Infall under Angular Momentum Conservation
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FERIA:角动量守恒下具有旋转和下落的扁平包络模型

DOI:
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发表时间:
2022
影响因子:
3.5
通讯作者:
S. Yamamoto
S. Yamamoto
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Y. Oya;Hirofumi Kibukawa;S. Miyake;S. Yamamoto

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自阿塔卡马大型毫米波/亚毫米波阵列(ALMA)问世以来,在分子谱线上对低质量恒星形成的射电观测取得了迅速进展。0-I级原恒星周围几百个天文单位尺度内的气体分布及其运动学在空间上得到了解析,原恒星盘形成的区域现在得到了详细的揭示。在这样的研究中,描述一颗原恒星周围复杂的物理结构是至关重要的,它由一个下降的包层、一个旋转支撑的盘和一个流出部分组成。为此,我们开发了一个通用的计算机代码“FERIA”(Flat Envelope model with Rotation and Infall under角动量守恒)来生成基于落入-旋转包络模型和开普勒盘模型的图像数据立方体,这两种模型在观测研究中都经常使用。本文介绍了FERIA的描述和使用手册,并总结了实际应用中的注意事项。该程序输出立方体FITS文件,可用于与观测结果直接比较。它还可以用于生成机器/深度学习的模拟数据。文中对这些应用实例进行了描述和讨论,以说明模型分析如何与实际观测数据相结合。
Radio observations of low-mass star formation in molecular spectral lines have rapidly progressed since the advent of the Atacama Large Millimeter/submillimeter Array (ALMA). The gas distribution and its kinematics within a few hundreds of astronomical unit scale around a Class 0–I protostar are spatially resolved, and the region where a protostellar disk is being formed is now revealed in detail. In such studies, it is essential to characterize the complex physical structure around a protostar consisting of an infalling envelope, a rotationally supported disk, and an outflow. For this purpose, we have developed a general-purpose computer code “FERIA” (Flat Envelope model with Rotation and Infall under Angular momentum conservation) to generate the image data cube based on the infalling-rotating envelope model and the Keplerian disk model, both of which are often used in observational studies. In this paper, we present the description and the user manual of FERIA and summarize caveats in actual applications. This program outputs cube FITS files, which can be used for direct comparison with observations. It can also be used to generate mock data for machine/deep learning. Examples of these applications are described and discussed to demonstrate how the model analyses work with actual observational data.
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