As matter accretes onto the central supermassive black holes in active galactic nuclei (AGNs), X-rays are emitted. We present a population synthesis model that accounts for the summed X-ray emission from growing black holes; modulo the efficiency of converting mass to X-rays, this is effectively a record of the accreted mass. We need this population synthesis model to reproduce observed constraints from X-ray surveys: the X-ray number counts, the observed fraction of Compton-thick AGNs [log (BH /cm-2 )>24], and the spectrum of the cosmic X-ray background (CXB), after accounting for selection biases. Over the past decade, X-ray surveys by XMM-Newton, Chandra, NuSTAR, and Swift-BAT have provided greatly improved observational constraints. We find that no existing X-ray luminosity function (XLF) consistently reproduces all these observations. We take the uncertainty in AGN spectra into account and use a neural network to compute an XLF that fits all observed constraints, including observed Compton-thick number counts and fractions. This new population synthesis model suggests that, intrinsically, 50% +- 9% (56% +- 7%) of all AGNs within z ≃ 0.1 (1.0) are Compton-thick.
Tasnim Ananna T., Treister E., Megan Urry C., Ricci C., Kirkpatrick A., Lamassa S., et al. (2019). The Accretion History of AGNs. I. Supermassive Black Hole Population Synthesis Model. THE ASTROPHYSICAL JOURNAL, 871(2), 1-23 [10.3847/1538-4357/aafb77].
The Accretion History of AGNs. I. Supermassive Black Hole Population Synthesis Model
Civano F.;Marchesi S.Ultimo
Writing – Review & Editing
2019
Abstract
As matter accretes onto the central supermassive black holes in active galactic nuclei (AGNs), X-rays are emitted. We present a population synthesis model that accounts for the summed X-ray emission from growing black holes; modulo the efficiency of converting mass to X-rays, this is effectively a record of the accreted mass. We need this population synthesis model to reproduce observed constraints from X-ray surveys: the X-ray number counts, the observed fraction of Compton-thick AGNs [log (BH /cm-2 )>24], and the spectrum of the cosmic X-ray background (CXB), after accounting for selection biases. Over the past decade, X-ray surveys by XMM-Newton, Chandra, NuSTAR, and Swift-BAT have provided greatly improved observational constraints. We find that no existing X-ray luminosity function (XLF) consistently reproduces all these observations. We take the uncertainty in AGN spectra into account and use a neural network to compute an XLF that fits all observed constraints, including observed Compton-thick number counts and fractions. This new population synthesis model suggests that, intrinsically, 50% +- 9% (56% +- 7%) of all AGNs within z ≃ 0.1 (1.0) are Compton-thick.File | Dimensione | Formato | |
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