Published January 24, 2024 | Version v1
Journal article Open

Ensemble X-ray variability of optically selected QSOs: dependence on black hole mass and Eddington ratio

  • 1. National Observatory of Athens
  • 1. National Observatory of Athens
  • 2. ROR icon Max Planck Institute for Extraterrestrial Physics
  • 3. Max-Planck-Institut für extraterrestrische Physik
  • 4. Università degli Studi di Napoli Federico II

Description

The data and code made available here are used in the paper https://arxiv.org/abs/2401.17285 on the "Ensemble X-ray variability of optically selected QSOs: dependence on black hole mass and Eddington ratio" to estimate the ensemble variability of QSOs. The catalogue SF_DRQ16.fits contains the XMM and eROSITA X-ray photometry used in the paper. The contents of the fits table are described in the README.txt file The code is also available on github https://github.com/ageorgakakis/StructureFunction. The abstract of this work follows.

Although flux variability is one of the defining properties of accretion flows onto supermassive black holes, its dependence on physical parameters such as the mass of the compact object and the Eddington ratio remain under discussion. In this paper we address this issue using the structure function statistic to measure the variability at X-ray wavelengths of a sample of optically selected QSOs with available black hole masses and Eddington ratios. We present a new Bayesian methodology for estimating the structure function tailored to the Poisson nature of the X-ray data. This is applied to the SDSS DRQ16 QSOs with repeat observations in the XMM-Newton archive and/or the SRG/eROSITA All Sky Survey. The X-ray structure function monotonically increases to time intervals of about 10-15 yrs, suggesting a preference for scenarios in which instabilities of the accretion disk contribute to the X-ray variability on long timescales. Additionally, there is evidence that the amplitude of the stochastic X-ray flux variations rises with decreasing black hole mass and Eddington ratio. This finding imposes stringent constraints on empirical models of Active Galactic Nuclei variability derived from local samples, emphasizing the significance of high-redshift population studies for comprehending the stochastic flux variations in active black holes.

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README.txt

Files (15.9 MB)

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md5:20505b8ca7729a86f0f22b914bc3a7c1
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md5:1e57f1a6b4f0c03cd3406f724468b1d2
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md5:6665e485c94dc810b237c57320372926
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Additional details

Funding

BiD4BEST – Big Data applications for Black hole Evolution STudies 860744
European Commission
Forward-Modeling the Variable Energetic Universe 2688
Hellenic Foundation for Research and Innovation