Revealing AGNs through TESS variability

Author:

Treiber Helena P12ORCID,Hinkle Jason T1ORCID,Fausnaugh Michael M3,Shappee Benjamin J1ORCID,Kochanek Christopher S4ORCID,Vallely Patrick J4ORCID,Auchettl Katie56ORCID,Holoien Thomas W-S7ORCID,Payne Anna V1ORCID,Dai Xinyu8ORCID

Affiliation:

1. Institute for Astronomy, University of Hawai‘i , 2680 Woodlawn Dr., Honolulu, HI 96822 , USA

2. Department of Physics and Astronomy, Amherst College , C025 New Science Center, 25 East Dr., Amherst, MA 01002-5000 , USA

3. Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139 , USA

4. Department of Astronomy, The Ohio State University , 140 West 18th Avenue, Columbus, OH 43210 , USA

5. School of Physics, University of Melbourne , Victoria 3010 , Australia

6. Centre for Cosmology and Astroparticle Physics, The Ohio State University , 191 W. Woodruff Avenue, Columbus, OH 43210 , USA

7. The Observatories of the Carnegie Institution for Science , 813 Santa Barbara Street, Pasadena, CA 91101 , USA

8. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma , Norman, OK 73019 , USA

Abstract

ABSTRACT We used Transiting Exoplanet Survey Satellite (TESS) data to identify 29 candidate active galactic nuclei (AGNs) through their optical variability. The high-cadence, high-precision TESS light curves present an opportunity for the identification of AGNs, including those not selected through other methods. Of the candidates, we found that 18 have either previously been identified as AGNs in the literature or could have been selected based on emission-line diagnostics, mid-IR colours, or X-ray luminosity. AGNs in low-mass galaxies offer a unique window into supermassive black hole and galaxy co-evolution and 8 of the 29 candidates have estimated black hole masses ≲ 106 M⊙. The low-mass galaxies NGC 4395 and NGC 4449 are two of our five ‘high-confidence’ candidates. Since our initial sample largely draws from just nine TESS sectors, we expect to identify at least ∼45 more candidates in the TESS primary and extended mission data sets, of which ∼60 per cent will be new AGNs and ∼20 per cent will be in low-mass galaxies.

Funder

NSF

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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