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Showing 1 to 6 of 6 for “"Vera C. Rubin Observatory"”.

  1. Unsupervised machine learning applied to radio data

    … data from the next generation of surveys. For several years, computers have been governed by Moore’s law, which posited that computing power would double every two years. The consequence was that computing has also become increasingly cost-effective, which has been a driving force in the ability …

    western-cape Repository record for Unsupervised machine learning applied to radio data (opens in a new tab)

  2. Detectability of Self-Lensing Supermassive Black Hole Binaries in Quasars

    … combination are then combined to determine the overall rate of detectable lensing events that could be detected in a given population. A method is developed to predict lensing characteristics of corresponding magnification and orbital period for different system conditions. Combining the …

    creighton Repository record for Detectability of Self-Lensing Supermassive Black Hole Binaries in Quasars (opens in a new tab)

  3. Aspects of Bayesian inference, classification and anomaly detection

    … in next-generation surveys such as from the Vera C. Rubin Observatory. This lack of supernova spectra results both in uncertainty in the redshifts and type of the supernova, which if ignored, leads to significantly biased estimates of cosmological parameters. We present a hierarchical …

    cape-town Repository record for Aspects of Bayesian inference, classification and anomaly detection (opens in a new tab)

  4. Hierarchical Bayesian Spectro-temporal Models of Type Ia Supernovae in the Optical and Near-Infrared: Understanding the Properties of Dust in Supernova Host Galaxies

    With the Vera C. Rubin Observatory Legacy Survey of Space and Time, and the Nancy Grace Roman Space Telescope both on the horizon, Type Ia supernova (SN Ia) cosmology is about to undergo a paradigm shift. Whilst this new era has the potential to bring unprecedented constraints on the nature of dark …

    cambridge Repository record for Hierarchical Bayesian Spectro-temporal Models of Type Ia Supernovae in the Optical and Near-Infrared: Understanding the Properties of Dust in Supernova Host Galaxies (opens in a new tab)

  5. Building a comprehensive picture of stellar death for the era of synoptic surveys

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms

    uiuc Repository record for Building a comprehensive picture of stellar death for the era of synoptic surveys (opens in a new tab)

  6. Procedure di modellizzazione rapide per la caratterizzazione di Supernovae Core Collapse e di transienti similari

    … Legacy Survey of Space and Time (LSST) presso il Vera C. Rubin Observatory, che rileverà migliaia di eventi di SN all'anno. Tuttavia, per studiare la natura fisica delle SN, le osservazioni devono essere integrate con una descrizione astrofisica dei processi che regolano la loro emissione …

    catania Repository record for Procedure di modellizzazione rapide per la caratterizzazione di Supernovae Core Collapse e di transienti similari (opens in a new tab)