A Visually Classified Spectroscopic Object Catalog for SDSS-IV MaNGA

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 the MaNGA project.

Published in RNAAS

References in corpus (3)

• Improving the full spectrum fitting method: accurate convolution with Gauss-Hermite functions
• The MaNGA Integral Field Unit Fiber Feed System for the Sloan 2.5 m Telescope
• SDSS-IV MaNGA: The Radial Profile of Enhanced Star Formation in Close Galaxy Pairs