论文标题
SDSS-IV漫画的视觉分类光谱对象目录
A Visually Classified Spectroscopic Object Catalog for SDSS-IV MaNGA
论文作者
论文摘要
我们在漫画集成场光谱调查中提供视觉分类对象的目录。漫画调查旨在针对一个单个星系，其每个集成场单元。但是，其中许多字段将托管辅助对象。我们通过清理漫画视野中的SDSS光度对象来识别这些离散对象。然后，我们使用漫画数据库中的光谱来频谱对已确定的对象进行分类。该目录包含来自10,130个独特的漫画场的1385颗恒星，11,439个星系和107个广泛的活性银河核（Blagn）的位置和分类。我们还为星系中提供了光谱派生的参数，包括：恒星质量，气体和恒星运动学以及发射线通量和等效宽度。该目录有效地将漫画目录的大小扩大了约50％，从而增加了漫画项目的效用。
We provide a catalog of visually classified objects in the MaNGA integral field spectroscopic survey. The MaNGA survey is designed to target a single galaxy with each of its integral field units; however, many of these fields will host ancillary objects. We identify these discrete objects by cleaning up SDSS photometric objects in MaNGA's fields-of-view. We then use the spectra from MaNGA's data cubes to spectrally classify the identified objects. The catalog contains the positions and classifications of 1385 stars, 11,439 galaxies, and 107 broad-line active galactic nucleus (BLAGN) from the 10,130 unique MaNGA fields. We also provide spectroscopically derived parameters for the galaxies including; stellar masses, gas and stellar kinematics, and emission-line fluxes and equivalent widths. This catalog effectively expands the size of the MaNGA catalog by ~50%, increasing the utility of the MaNGA project.
