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zadetkov: 112
1.
  • THE EFFECTS OF THE LOCAL EN... THE EFFECTS OF THE LOCAL ENVIRONMENT AND STELLAR MASS ON GALAXY QUENCHING TO z ∼ 3
    Darvish, Behnam; Mobasher, Bahram; Sobral, David ... The Astrophysical journal, 07/2016, Letnik: 825, Številka: 2
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    ABSTRACT We study the effects of the local environment and stellar mass on galaxy properties using a mass complete sample of quiescent and star-forming systems in the COSMOS field at . We show that ...
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2.
  • Cosmic Web of Galaxies in t... Cosmic Web of Galaxies in the COSMOS Field: Public Catalog and Different Quenching for Centrals and Satellites
    Darvish, Behnam; Mobasher, Bahram; Martin, D. Christopher ... The Astrophysical journal, 03/2017, Letnik: 837, Številka: 1
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    We use a mass complete (log( ) ) sample of galaxies with accurate photometric redshifts in the COSMOS field to construct the density field and the cosmic web to z = 1.2. The comic web extraction ...
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3.
  • The Keck Cosmic Web Imager ... The Keck Cosmic Web Imager Integral Field Spectrograph
    Morrissey, Patrick; Matuszewski, Matuesz; Martin, D. Christopher ... The Astrophysical journal, 09/2018, Letnik: 864, Številka: 1
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    We report on the design and performance of the Keck Cosmic Web Imager (KCWI), a general purpose optical integral field spectrograph that has been installed at the Nasmyth port of the 10 m Keck II ...
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4.
  • Boötes-HiZELS: an optical t... Boötes-HiZELS: an optical to near-infrared survey of emission-line galaxies at z = 0.4–4.7
    Matthee, Jorryt; Sobral, David; Best, Philip ... Monthly notices of the Royal Astronomical Society, 10/2017, Letnik: 471, Številka: 1
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    Abstract We present a sample of ∼1000 emission-line galaxies at z = 0.4–4.7 from the ∼0.7deg2 High-z Emission-Line Survey in the Boötes field identified with a suite of six narrow-band filters at ...
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5.
  • Large-scale Structures in t... Large-scale Structures in the CANDELS Fields: The Role of the Environment in Star Formation Activity
    Chartab, Nima; Mobasher, Bahram; Darvish, Behnam ... The Astrophysical journal, 02/2020, Letnik: 890, Številka: 1
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    We present a robust method, weighted von Mises kernel density estimation, along with boundary correction to reconstruct the underlying number density field of galaxies. We apply this method to ...
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6.
  • Similar Scaling Relations f... Similar Scaling Relations for the Gas Content of Galaxies Across Environments to z ∼ 3.5
    Darvish, Behnam; Scoville, Nick Z.; Martin, Christopher ... The Astrophysical journal, 06/2018, Letnik: 860, Številka: 2
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    We study the effects of the local environment on the molecular gas content of a large sample of log(M*/M ) 10 star-forming and starburst galaxies with specific star formation rates (sSFRs) on and ...
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7.
  • Evidence for Gas-phase Meta... Evidence for Gas-phase Metal Deficiency in Massive Protocluster Galaxies at z ∼2.2
    Sattari, Zahra; Mobasher, Bahram; Chartab, Nima ... The Astrophysical journal, 03/2021, Letnik: 910, Številka: 1
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    Abstract We study the mass–metallicity relation for 19 members of a spectroscopically confirmed protocluster in the COSMOS field at z = 2.2 (CC2.2), and compare it with that of 24 similarly selected ...
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8.
  • Stellar Mass Growth of Brig... Stellar Mass Growth of Brightest Cluster Galaxy Progenitors in COSMOS Since z ∼ 3
    Cooke, Kevin C.; Kartaltepe, Jeyhan S.; Tyler, K. D. ... The Astrophysical journal, 08/2019, Letnik: 881, Številka: 2
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    We examine the role of environment on the in situ star formation (SF) hosted by the progenitors of the most massive galaxies in the present-day universe, the brightest cluster galaxies (BCGs), from z ...
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9.
  • Spectroscopic Confirmation ... Spectroscopic Confirmation of a Coma Cluster Progenitor at z ∼ 2.2
    Darvish, Behnam; Scoville, Nick Z.; Martin, Christopher ... The Astrophysical journal, 03/2020, Letnik: 892, Številka: 1
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    We report the spectroscopic confirmation of a new protocluster in the COSMOS field at z ∼ 2.2, COSMOS Cluster 2.2 (CC2.2), originally identified as an overdensity of narrowband selected H emitting ...
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10.
  • Bringing Manifold Learning ... Bringing Manifold Learning and Dimensionality Reduction to SED Fitters
    Hemmati, Shoubaneh; Capak, Peter; Pourrahmani, Milad ... Astrophysical journal. Letters, 08/2019, Letnik: 881, Številka: 1
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    We show that unsupervised machine learning techniques are a valuable tool for both visualizing and computationally accelerating the estimation of galaxy physical properties from photometric data. As ...
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zadetkov: 112

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