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zadetkov: 225
1.
  • The Dark Energy Survey Imag... The Dark Energy Survey Image Processing Pipeline
    Morganson, E.; Gruendl, R. A.; Menanteau, F. ... Publications of the Astronomical Society of the Pacific, 07/2018, Letnik: 130, Številka: 989
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    The Dark Energy Survey (DES) is a five-year optical imaging campaign with the goal of understanding the origin of cosmic acceleration. DES performs a ∼5000 deg2 survey of the southern sky in five ...
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2.
  • New Suns in the Cosmos II: ... New Suns in the Cosmos II: differential rotation in Kepler Sun-like stars
    Chagas, M L Das; Bravo, J P; Costa, A D ... Monthly notices of the Royal Astronomical Society, 12/2016, Letnik: 463, Številka: 2
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    The present study reports the discovery of Sun-like stars, namely main-sequence stars with T sub( eff), log g and rotation periods P sub( rot) similar to solar values, presenting evidence of surface ...
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3.
  • Perturbation theory for mod... Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey
    Pandey, S.; Krause, E.; Jain, B. ... Physical review. D, 12/2020, Letnik: 102, Številka: 12
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    We describe perturbation theory (PT) models of galaxy bias for applications to photometric galaxy surveys. We model the galaxy-galaxy and galaxy-matter correlation functions in configuration space ...
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4.
  • THE ROTATIONAL BEHAVIOR OF ... THE ROTATIONAL BEHAVIOR OF KEPLER STARS WITH PLANETS
    Paz-Chinchón, F.; Leão, I. C.; Bravo, J. P. ... The Astrophysical journal, 04/2015, Letnik: 803, Številka: 2
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    ABSTRACT We analyzed the host stars of the present sample of confirmed planets detected by Kepler and Kepler Objects of Interest to compute new photometric rotation periods and to study the behavior ...
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5.
  • A sample of dust attenuatio... A sample of dust attenuation laws for Dark Energy Survey supernova host galaxies
    Duarte, J.; González-Gaitán, S.; Mourão, A. ... Astronomy and astrophysics (Berlin), 12/2023, Letnik: 680
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    Context. Type Ia supernovae (SNe Ia) are useful distance indicators in cosmology, provided their luminosity is standardized by applying empirical corrections based on light-curve properties. One ...
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6.
  • The variability behaviour o... The variability behaviour of CoRoT M-giant stars
    Ferreira Lopes, C. E.; Neves, V.; Leão, I. C. ... Astronomy and astrophysics (Berlin), 11/2015, Letnik: 583
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    Context. For six years the Convection, Rotation, and planetary Transits (CoRoT) space mission has been acquiring photometric data from more than 100 000 point sources towards and directly opposite ...
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7.
  • Monte Carlo control loops f... Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data
    Kacprzak, T.; Herbel, J.; Nicola, A. ... Physical review. D, 04/2020, Letnik: 101, Številka: 8
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    Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and redshifts of ...
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8.
  • No Evidence for Orbital Clu... No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects
    Napier, K. J.; Gerdes, D. W.; Lin 林, Hsing Wen 省文 ... The planetary science journal, 04/2021, Letnik: 2, Številka: 2
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    Abstract The apparent clustering in longitude of perihelion ϖ and ascending node Ω of extreme trans-Neptunian objects (ETNOs) has been attributed to the gravitational effects of an unseen 5–10 ...
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9.
  • KEPLER RAPIDLY ROTATING GIA... KEPLER RAPIDLY ROTATING GIANT STARS
    Costa, A. D.; Martins, B. L. Canto; Bravo, J. P. ... Astrophysical journal. Letters, 07/2015, Letnik: 807, Številka: 2
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    ABSTRACT Rapidly rotating giant stars are relatively rare and may represent important stages of stellar evolution, resulting from stellar coalescence of close binary systems or accretion of ...
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10.
  • Pushing automated morpholog... Pushing automated morphological classifications to their limits with the Dark Energy Survey
    Vega-Ferrero, J.; Domínguez Sánchez, H.; Bernardi, M. ... Monthly notices of the Royal Astronomical Society, 07/2021, Letnik: 506, Številka: 2
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    ABSTRACT We present morphological classifications of ∼27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classification scheme ...
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zadetkov: 225

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