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  Improving the selection of changing-look AGNs through multiwavelength photometric variability

López-Navas, E., Sánchez-Sáez, P., Arévalo, P., Bernal, S., Graham, M. J., Hernández-García, L., et al. (2023). Improving the selection of changing-look AGNs through multiwavelength photometric variability. Monthly Notices of the Royal Astronomical Society, 524(1), 188-206. doi:10.1093/mnras/stad1893.

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López-Navas, E., Author
Sánchez-Sáez, P., Author
Arévalo, P., Author
Bernal, S., Author
Graham, M. J., Author
Hernández-García, L., Author
Homan, D., Author
Krumpe, M., Author
Lamer, G., Author
Lira, P., Author
Martínez-Aldama, M.L., Author
Merloni, A., Author
Ríos, S., Author
Salvato, M.1, Author           
Stern, D., Author
Tubín-Arenas, D., Author
Affiliations:
1High Energy Astrophysics, MPI for Extraterrestrial Physics, Max Planck Society, ou_159890              

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 Abstract: We present second epoch optical spectra for 30 changing-look (CL) candidates found by searching for Type-1 optical variability in a sample of active galactic nuclei (AGNs) spectroscopically classified as Type 2. We use a random-forest-based light-curve classifier and spectroscopic follow-up, confirming 50 per cent of candidates as turning-on CLs. In order to improve this selection method and to better understand the nature of the not-confirmed CL candidates, we perform a multiwavelength variability analysis including optical, mid-infrared (MIR), and X-ray data, and compare the results from the confirmed and not-confirmed CLs identified in this work. We find that most of the not-confirmed CLs are consistent with weak Type 1s dominated by host-galaxy contributions, showing weaker optical and MIR variability. On the contrary, the confirmed CLs present stronger optical fluctuations and experience a long (from five to ten years) increase in their MIR fluxes and the colour W1–W2 over time. In the 0.2–2.3 keV band, at least four out of 11 CLs with available SRG/eROSITA detections have increased their flux in comparison with archival upper limits. These common features allow us to select the most promising CLs from our list of candidates, leading to nine sources with similar multiwavelength photometric properties to our CL sample. The use of machine learning algorithms with optical and MIR light curves will be very useful to identify CLs in future large-scale surveys.

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Language(s): eng - English
 Dates: 2023-06-22
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1093/mnras/stad1893
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Title: Monthly Notices of the Royal Astronomical Society
  Other : Mon. Not. R. Astron. Soc.
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 524 (1) Sequence Number: - Start / End Page: 188 - 206 Identifier: ISSN: 1365-8711
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000024150