The Gaia Multipeak (GMP) technique can be used to identify large numbers of dual or lensed active galactic nucleus (AGN) candidates at subarcsec separation, allowing us to study both multiple supermassive black holes (SMBHs) in the same galaxy and rare, compact lensed systems. The observed samples can be used to test the predictions of the models of SMBH merging when (1) the selection function of the GMP technique is known, and (2) each system has been classified as a dual AGN, a lensed AGN, or an AGN/star alignment. Here we show that the GMP selection is very efficient for separations above 0.15 '' when the secondary (fainter) object has a magnitude G less than or similar to 20.5. We present the spectroscopic classification of five GMP candidates using VLT/ERIS and Keck/OSIRIS and compare them with the classifications obtained from (a) the near-IR colors of seven systems obtained with LBT/LUCI, and (b) the analysis of the total spatially unresolved spectra. We conclude that colors and integrated spectra can already provide reliable classifications of many systems. Finally, we summarize the confirmed dual AGNs at z > 0.5 selected by the GMP technique, and compare this sample with other such systems from the literature, concluding that GMP can provide a large number of confirmed dual AGNs at separations below 7 kpc.

GMP-selected dual and lensed AGNs: Selection function and classification based on near-IR colors and resolved spectra from VLT/ERIS, Keck/OSIRIS, and LBT/LUCI / Mannucci, F.; Scialpi, M.; Ciurlo, A.; Yeh, S.; Marconcini, C.; Tozzi, G.; Cresci, G.; Marconi, A.; Amiri, A.; Belfiore, F.; Carniani, S.; Cicone, C.; Nardini, E.; Pancino, E.; Rubinur, K.; Severgnini, P.; Ulivi, L.; Venturi, G.; Vignali, C.; Volonteri, M.; Pinna, E.; Rossi, F.; Puglisi, A.; Agapito, G.; Plantet, C.; Ghose, E.; Carbonaro, L.; Xompero, M.; Grani, P.; Esposito, S.; Power, J.; Guerra Ramon, J. C.; Lefebvre, M.; Cavallaro, A.; Davies, R.; Riccardi, A.; Macintosh, M.; Taylor, W.; Dolci, M.; Baruffolo, A.; Feuchtgruber, H.; Kravchenko, K.; Rau, C.; Sturm, E.; Wiezorrek, E.; Dallilar, Y.; Kenworthy, M.. - In: ASTRONOMY & ASTROPHYSICS. - ISSN 0004-6361. - ELETTRONICO. - 680:(2023), pp. 0-0. [10.1051/0004-6361/202346894]

GMP-selected dual and lensed AGNs: Selection function and classification based on near-IR colors and resolved spectra from VLT/ERIS, Keck/OSIRIS, and LBT/LUCI

Mannucci, F.;Scialpi, M.;Marconcini, C.;Tozzi, G.;Cresci, G.;Marconi, A.;Amiri, A.;Carniani, S.;Nardini, E.;Pancino, E.;Severgnini, P.;Ulivi, L.;Venturi, G.;Vignali, C.;Esposito, S.;Davies, R.;
2023

Abstract

The Gaia Multipeak (GMP) technique can be used to identify large numbers of dual or lensed active galactic nucleus (AGN) candidates at subarcsec separation, allowing us to study both multiple supermassive black holes (SMBHs) in the same galaxy and rare, compact lensed systems. The observed samples can be used to test the predictions of the models of SMBH merging when (1) the selection function of the GMP technique is known, and (2) each system has been classified as a dual AGN, a lensed AGN, or an AGN/star alignment. Here we show that the GMP selection is very efficient for separations above 0.15 '' when the secondary (fainter) object has a magnitude G less than or similar to 20.5. We present the spectroscopic classification of five GMP candidates using VLT/ERIS and Keck/OSIRIS and compare them with the classifications obtained from (a) the near-IR colors of seven systems obtained with LBT/LUCI, and (b) the analysis of the total spatially unresolved spectra. We conclude that colors and integrated spectra can already provide reliable classifications of many systems. Finally, we summarize the confirmed dual AGNs at z > 0.5 selected by the GMP technique, and compare this sample with other such systems from the literature, concluding that GMP can provide a large number of confirmed dual AGNs at separations below 7 kpc.
2023
680
0
0
Mannucci, F.; Scialpi, M.; Ciurlo, A.; Yeh, S.; Marconcini, C.; Tozzi, G.; Cresci, G.; Marconi, A.; Amiri, A.; Belfiore, F.; Carniani, S.; Cicone, C.; Nardini, E.; Pancino, E.; Rubinur, K.; Severgnini, P.; Ulivi, L.; Venturi, G.; Vignali, C.; Volonteri, M.; Pinna, E.; Rossi, F.; Puglisi, A.; Agapito, G.; Plantet, C.; Ghose, E.; Carbonaro, L.; Xompero, M.; Grani, P.; Esposito, S.; Power, J.; Guerra Ramon, J. C.; Lefebvre, M.; Cavallaro, A.; Davies, R.; Riccardi, A.; Macintosh, M.; Taylor, W.; Dolci, M.; Baruffolo, A.; Feuchtgruber, H.; Kravchenko, K.; Rau, C.; Sturm, E.; Wiezorrek, E.; Dallilar, Y.; Kenworthy, M.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1354554
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