Results 21 to 30 of about 293 (94)
Erratum: A quasar microlensing light-curve generator for LSST [PDF]
Timo Anguita+3 more
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Discovery of spectacular quasar-driven superbubbles in red quasars. [PDF]
Shen L+9 more
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Established techniques permitting the evaluation of exact asymptotic forms of photon escape probabilities for a wide range of absorption coefficient profile types are used for QSO radiative transfer effect studies, and it is shown that the exact formulae are easily evaluated.
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Tracing the massive inflows feeding super-massive black holes in quasars. [PDF]
Jiang P, Shi X, Zhou H.
europepmc +1 more source
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
We study a typical optimization model where the optimization variable is composed of multiple probability distributions. Though the model appears frequently in practice, such as for policy problems, it lacks specific analysis in the general setting.
Ding, Shihong+3 more
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Optimal distribution of VLBI transmitters in the Galileo space segment for frame ties. [PDF]
Wolf H, Böhm J.
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Improved technique for quasar composite spectra generation [PDF]
Olga Sergijenko+2 more
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The paper A quasar microlensing light-curve generator for LSST was published in MNRAS, 495, 1, 544–553 (2020). The rest frame wavelength (?0) selected to simulate the accretion discs sizes is not specified in table 1 or the text, precluding the reproducibility of the results.We provide an updated version of the Table 1 with themissing parameter above ...
Neira, Favio+2 more
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Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation
The catalogs are available as Cone Searches in the Virtual Observatory. Contact olaurino@head.cfa.harvard.edu AbstractWith the availability of the huge amounts of data produced by current and future large multiband photometric surveys, photometric redshifts have become a crucial tool for extragalactic astronomy and cosmology. In this paper we present a
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This work proposes a scalable probabilistic latent variable model based on Gaussian processes (Lawrence, 2004) in the context of multiple observation spaces. We focus on an application in astrophysics where data sets typically contain both observed spectral features and scientific properties of astrophysical objects such as galaxies or exoplanets.
Lalchand, Vidhi, Eilers, Anna-Christina
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