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  1. The emptiness inside: Finding gaps, valleys, and lacunae with geometric data analysis

    Publication
    Discoveries of gaps in data have been important in astrophysics. For example, there are kinematic gaps opened by resonances in dynamical systems, or exoplanets of a certain radius …

  2. A Deep-learning Approach for Live Anomaly Detection of Extragalactic Transients

    Publication
    There is a shortage of multiwavelength and spectroscopic follow-up capabilities given the number of transient and variable astrophysical events discovered through wide-field optical surveys such as …

  3. Anomaly Detection for Multivariate Time Series of Exotic Supernovae

    Publication
    Supernovae mark the explosive deaths of stars and enrich the cosmos with heavy elements. Future telescopes will discover thousands of new supernovae nightly, creating a need to flag …

  4. The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations

    Publication
    We present the Cosmology and Astrophysics with MachinE Learning Simulations --CAMELS-- project. CAMELS is a suite of 4,233 cosmological simulations of …

  5. From Dark Matter to Galaxies with Convolutional Networks

    Publication
    Cosmological surveys aim at answering fundamental questions about our Universe, including the nature of dark matter or the reason of unexpected accelerated expansion of the Universe. In order …