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zadetkov: 49
11.
  • Using Machine Learning to D... Using Machine Learning to Determine Morphologies of z < 1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey
    Tian, Chuan; Urry, C. Megan; Ghosh, Aritra ... Astrophysical journal/˜The œAstrophysical journal, 02/2023, Letnik: 944, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    Abstract We present a machine-learning framework to accurately characterize the morphologies of active galactic nucleus (AGN) host galaxies within z < 1. We first use PSFGAN to decouple host galaxy ...
Celotno besedilo
12.
  • Probing the Structure and E... Probing the Structure and Evolution of BASS Active Galactic Nuclei through Eddington Ratios
    Ananna, Tonima Tasnim; Urry, C. Megan; Ricci, Claudio ... Astrophysical journal. Letters, 11/2022, Letnik: 939, Številka: 1
    Journal Article
    Recenzirano
    Odprti dostop

    Abstract We constrain the intrinsic Eddington ratio ( λ Edd ) distribution function for local active galactic nuclei (AGN) in bins of low and high obscuration log ( N H / cm − 2 ) ≤ 22 and 22 < log ...
Celotno besedilo
13.
  • On the Cosmic Evolution of ... On the Cosmic Evolution of AGN Obscuration and the X-Ray Luminosity Function: XMM-Newton and Chandra Spectral Analysis of the 31.3 deg2 Stripe 82X
    Peca, Alessandro; Cappelluti, Nico; Urry, C. Megan ... Astrophysical journal/˜The œAstrophysical journal, 02/2023, Letnik: 943, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    We present X-ray spectral analysis of XMM-Newton and Chandra observations in the 31.3 deg2 Stripe-82X (S82X) field. Of the 6181 unique X-ray sources in this field, we analyze a sample of 2937 ...
Celotno besedilo
14.
  • Dying of the Light: An X-Ra... Dying of the Light: An X-Ray Fading Cold Quasar at z ∼ 0.405
    Cooke, Kevin C.; Kirkpatrick, Allison; Estrada, Michael ... Astrophysical journal/˜The œAstrophysical journal, 11/2020, Letnik: 903, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    Cold quasars are a rare subpopulation observed to host unobscured, X-ray luminous active galactic nuclei (AGN) while also retaining a cold gas supply fueling high star formation rates. These objects ...
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15.
  • The Hunt for Red Quasars: L... The Hunt for Red Quasars: Luminous Obscured Black Hole Growth Unveiled in the Stripe 82 X-Ray Survey
    LaMassa, Stephanie M.; Glikman, Eilat; Brusa, Marcella ... Astrophysical journal/˜The œAstrophysical journal, 10/2017, Letnik: 847, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    We present results of a ground-based near-infrared campaign with Palomar TripleSpec, Keck NIRSPEC, and Gemini GNIRS to target two samples of reddened active galactic nucleus (AGN) candidates from the ...
Celotno besedilo

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16.
  • Exploring AGN and star form... Exploring AGN and star formation activity of massive galaxies at cosmic noon
    Florez, Jonathan; Jogee, Shardha; Sherman, Sydney ... Monthly Notices of the Royal Astronomical Society, 09/2020, Letnik: 497, Številka: 3
    Journal Article
    Recenzirano
    Odprti dostop

    ABSTRACT We investigate the relation between active galactic nucleus (AGN) and star formation (SF) activity at 0.5 < z < 3 by analysing 898 galaxies with X-ray luminous AGNs (LX > 1044 erg s−1) and a ...
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17.
  • The Accretion History of AG... The Accretion History of AGN: A Newly Defined Population of Cold Quasars
    Kirkpatrick, Allison; Urry, C. Megan; Brewster, Jason ... Astrophysical journal/˜The œAstrophysical journal, 09/2020, Letnik: 900, Številka: 1
    Journal Article
    Recenzirano
    Odprti dostop

    Quasars are the most luminous of active galactic nuclei, and are perhaps responsible for quenching star formation in their hosts. The Stripe 82X catalog covers 31.3 deg2 of the Stripe 82 field, of ...
Celotno besedilo

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18.
  • GaMPEN: A Machine-learning ... GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
    Ghosh, Aritra; Urry, C. Megan; Rau, Amrit ... Astrophysical journal/˜The œAstrophysical journal, 08/2022, Letnik: 935, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    Abstract We introduce a novel machine-learning framework for estimating the Bayesian posteriors of morphological parameters for arbitrarily large numbers of galaxies. The Galaxy Morphology Posterior ...
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19.
  • X-ray View of Little Red Dots: Do They Host Supermassive Black Holes?
    Tonima, Tasnim Ananna; Bogdán, Ákos; Kovács, Orsolya E ... arXiv (Cornell University), 06/2024
    Paper, Journal Article
    Odprti dostop

    The discovery of Little Red Dots (LRDs) -- a population of compact, high-redshift, dust-reddened galaxies -- is one of the most surprising results from JWST. However, the nature of LRDs is still ...
Celotno besedilo
20.
  • Stacking X-ray Observations of "Little Red Dots": Implications for their AGN Properties
    Yue, Minghao; Eilers, Anna-Christina; Tonima, Tasnim Ananna ... arXiv (Cornell University), 04/2024
    Paper, Journal Article
    Odprti dostop

    Recent {\em James Webb Space Telescope (JWST)} observations have revealed a population of compact extragalactic objects at \(z\gtrsim4\) with red near-infrared colors, which have been dubbed as ...
Celotno besedilo
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zadetkov: 49

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