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X-ray Detected AGN in SDSS Dwarf Galaxies

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arxiv 2001.03135 v3 pith:A6G3JXXD submitted 2020-01-09 astro-ph.GA

X-ray Detected AGN in SDSS Dwarf Galaxies

classification astro-ph.GA
keywords mathrmsamplex-rayfoundgalaxiesdwarfratesaccretion
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In this work we present a robust quantification of X-ray selected AGN in local ($z \leq 0.25$) dwarf galaxies ($M_\mathrm{*} \leq 3 \times 10^9 \mathrm{M_\odot}$). We define a parent sample of 4,331 dwarf galaxies found within the footprint of both the MPA-JHU galaxy catalogue (based on SDSS DR8) and 3XMM DR7, performed a careful review of the data to remove misidentifications and produced a sample of 61 dwarf galaxies that exhibit nuclear X-ray activity indicative of an AGN. We examine the optical emission line ratios of our X-ray selected sample and find that optical AGN diagnostics fail to identify 85% of the sources. We then calculated the growth rates of the black holes powering our AGN in terms of their specific accretion rates ($\propto L_\mathrm{X}/M_\mathrm{*}$, an approximate tracer of the Eddington ratio). Within our observed sample, we found a wide range of specific accretion rates. After correcting the observed sample for the varying sensitivity of 3XMM, we found further evidence for a wide range of X-ray luminosities and specific accretion rates, described by a power law. Using this corrected AGN sample we also define an AGN fraction describing their relative incidence within the parent sample. We found the AGN fraction increases with host galaxy mass (up to $\approx$ 6%) for galaxies with X-ray luminosities between $10^{39} \mathrm{erg/s}$ and $10^{42} \mathrm{erg/s}$, and by extrapolating the power law to higher luminosities, we found evidence to suggest the fraction of luminous AGN ($L_\mathrm{X} \geq 10^{42.4} \mathrm{erg/s}$) is constant out to $z \approx 0.7$.

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Cited by 2 Pith papers

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    DESI DR1 spectroscopy yields >7,000 candidate dual-AGN pairs, expanding the known kpc-scale census by ~4x and linking host-galaxy demographics to LISA-detectable massive black hole mergers.

  2. When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies

    astro-ph.GA 2026-07 conditional novelty 6.0

    A controlled cross-validation decomposition attributes the apparent X-ray-induced accuracy drop in AGN/SFG classification to sample selection and label noise, not to the X-ray feature itself.