The miniJPAS survey: AGN & host galaxy co-evolution of X-ray selected sources
I. E. L\'opez, M. Brusa, S. Bonoli, F. Shankar, N. Acharya, B.Laloux,, K. Dolag, A. Georgakakis, A. Lapi, C. Ramos Almeida, M. Salvato, J., Chaves-Montero, P. Coelho, L. A. D\'iaz-Garc\'ia, J. A., Fern\'andez-Ontiveros, A. Hern\'an-Caballero, R. M. Gonz\'alez Delgado, I.

TL;DR
This study investigates the co-evolution of supermassive black holes and their host galaxies using X-ray selected AGN data from the miniJPAS survey, modeling spectral energy distributions and optical spectra to analyze their properties and evolutionary scenarios.
Contribution
It provides new insights into the black hole and galaxy co-evolution by modeling a large sample of AGN across cosmic time and exploring different evolutionary scenarios to explain the local scaling relation.
Findings
Significant scatter in the $M_{BH}$-$M_\star$ relation among the sample.
Different distributions of Eddington ratios and their proxies.
Evolution scenarios reduce scatter and recover local Universe relations.
Abstract
Studies indicate strong evidence of a scaling relation in the local Universe between the supermassive black hole mass (M_\rm{BH}) and the stellar mass of their host galaxies (). They even show similar histories across cosmic times of their differential terms: star formation rate (SFR) and black hole accretion rate (BHAR). However, a clear picture of this coevolution is far from being understood. We select an X-ray sample of active galactic nuclei (AGN) up to in the miniJPAS footprint. Their X-ray to infrared spectral energy distributions (SEDs) have been modeled with CIGALE, constraining the emission to 68 bands. For a final sample of 308 galaxies, we derive their physical properties (e.g., , , , and L_\rm{AGN}). We also fit their optical spectra for a subsample of 113 sources to estimate the M_\rm{BH}. We calculate the BHAR depending…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astrophysical Phenomena and Observations · Astronomy and Astrophysical Research
