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DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data
In this paper, benefiting from the strong ability of deep neural network in estimating non-linear functions, we propose a discriminative embedding function to be used as a feature extractor for clustering tasks.
Deep Multi-view Models for Glitch Classification
Non-cosmic, non-Gaussian disturbances known as "glitches", show up in gravitational-wave data of the Advanced Laser Interferometer Gravitational-wave Observatory, or aLIGO.
Illuminating Black Hole Binary Formation Channels with Spins in Advanced LIGO
In particular, these heavy-black-hole binaries can only form with a significant spin-orbit anti-alignment in the dynamical channel.
High Energy Astrophysical Phenomena
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