Scientific Colloquium
October 6,  2021, 2:00 p.m. - PLEASE NOTE SPECIAL TIME
Online Presentation

                TONIMA TASNIM ANANNA   
                DARTMOUTH COLLEGE

"Modeling the Intrinsic Population of Active Galactic Nuclei Using High-energy X-rays" 

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 (N H/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.

In addition to this X-ray luminosity function, using the unprecedented spectroscopic completeness of the BAT AGN Spectroscopic Survey (BASS) data release 2, we have derived the active black hole mass function (BHMF), and Eddington-ratio distribution function (ERDF) for both unobscured (Type 1) and obscured (Type 2) active galactic nuclei (AGN). In addition to a straightforward 1/Vmax approach, we also compute the intrinsic distributions, accounting for sample truncation by employing a forward modeling approach to recover the observed BHMF and ERDF. As previous BHMFs and ERDFs have been robustly determined only for samples of bright, broad-line (Type 1) AGNs and/or quasars, ours is the first directly observationally constrained BHMF and ERDF of Type 2 AGN. We find that after accounting for all observational biases, the intrinsic ERDF of Type 2 AGN is significantly skewed towards lower Eddington ratios than the intrinsic ERDF of Type 1 AGN. This result supports the radiation-regulated unification scenario, in which radiation pressure dictates the geometry of the dusty obscuring structure around an AGN. Calculating the ERDFs in two separate mass bins, we verify that the derived shape is consistent, validating the assumption that the ERDF is mass independent.


About the Speaker:

Tonima Tasnim Ananna is a Postdoctoral Research Associate in Professor Ryan Hickox's group at Dartmouth College. She completed her Ph.D. at the Department of Physics, Yale University, under the supervision of Professor Claudia Megan Urry. Her research is primarily focused on the growth of supermassive black holes in obscured environments using innovative statistical and machine learning techniques. Her research has been featured in Science News in SN 10: 10 Scientists to Watch 2020.

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