SMBH Seeds: Model Discrimination with High Energy Emission Based on Scaling Relation Evolution
Sagi Ben-Ami, Alexey Vikhlinin, and Abraham Loeb

TL;DR
This paper investigates high-redshift supermassive black hole X-ray signatures to distinguish between different seeding and growth models, using simulations and upcoming X-ray observatories to constrain SMBH formation scenarios.
Contribution
It introduces a framework combining seeding models, accretion histories, and observational predictions to discriminate SMBH origins with future X-ray data.
Findings
Current Chandra data is consistent with all models.
Deep Lynx observations can statistically differentiate models.
Models align with current cosmic X-ray background limits.
Abstract
We explore the expected X-ray (0.5-2keV) signatures from super massive black holes (SMBHs) at high redshifts () assuming various models for their seeding mechanism and evolution. The seeding models are approximated through deviations from the M relation observed in the local universe. We use results from N-body simulations of the large-scale structure to estimate the density of observable SMBHs. We focus on two families of seeding models: (\textit{i}) light seed BHs from remnants of Pop-III stars; and (\textit{ii}) heavy seeds from the direct collapse of gas clouds. We investigate several models for the accretion history, such as sub-Eddington accretion, slim disk models allowing mild super-Eddington accretion and torque-limited growth models. We consider observations with two instruments: (\textit{i}) the Chandra X-ray observatory, and (\textit{ii}) the…
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