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Revealing AGNs through TESS variability

2023; Oxford University Press; Volume: 525; Issue: 4 Linguagem: Inglês

10.1093/mnras/stad2530

1365-2966

Helena Treiber, Jason T. Hinkle, Michael Fausnaugh, B. J. Shappee, C. S. Kochanek, P. Vallely, Katie Auchettl, T. W. S. Holoien, A. V. Payne, Xinyu Dai,

Astronomy and Astrophysical Research

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.