A catalog of 406 AGNs in manga: A connection between radio-mode AGNs and star formation quenching

Julia M. Comerford, James Negus, Francisco Müller-Sánchez, Michael Eracleous, Dominika Wylezalek, Thaisa Storchi-Ber mann, Jenn E. Greene, R. Scott Barrows, Rebecca Nevin, Namrata Ro, Aaron Stemo

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Accurate active galactic nucleus (AGN) identifications and spatially resolved host galaxy properties are a powerful combination for studies of the role of AGNs and AGN feedback in the coevolution of galaxies and their central supermassive black holes. Here, we present robust identifications of 406 AGNs in the first 6261 galaxies observed by the integral field spectroscopy survey Mapping Nearby Galaxies at Apache Point Observatory. Instead of using optical line flux ratios, which can be difficult to interpret in light of the effects of shocks and metallicity, we identify the AGNs via mid-infrared Wide-field Infrared Survey Explorer colors, Swift/BAT ultrahard X-ray detections, NVSS and FIRST radio observations, and broad emission lines in SDSS spectra. We subdivide the AGNs into radio-quiet and radio-mode AGNs, and examine the correlations of the AGN classes with host galaxy star formation rates and stellar populations. When compared to the radio-quiet AGN host galaxies, we find that the radio-mode AGN host galaxies are preferentially elliptical, lie further beneath the star-forming main sequence (with lower star formation rates at fixed galaxy mass), have older stellar populations, and have more negative stellar age gradients with galactocentric distance (indicating inside-out quenching of star formation). These results establish a connection between radio-mode AGNs and the suppression of star formation.

Original languageEnglish (US)
Article number159
JournalAstrophysical Journal
Volume901
Issue number2
DOIs
StatePublished - Oct 1 2020

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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