A Visually Classified Spectroscopic Object Catalog for SDSS-IV MaNGA
Joshua L. Steffen, Hai Fu

TL;DR
This paper presents a catalog of visually classified objects within the MaNGA survey, including stars, galaxies, and active galactic nuclei, with derived parameters, expanding MaNGA's data utility.
Contribution
The study introduces a comprehensive spectroscopic classification catalog for MaNGA objects, significantly increasing the available data for analysis.
Findings
Catalog includes 1385 stars, 11,439 galaxies, 107 BLAGN.
Provides spectroscopic parameters like stellar masses and kinematics.
Expands MaNGA catalog size by approximately 50%.
Abstract
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…
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