300 citations · 1.2k across the 17 of their papers we have counts for
3 papers · 1 filter
Discriminative Dimensionality Reduction using Deep Neural Networks for Clustering of LIGO Data
Sara Bahaadini, Yunan Wu, Scott Coughlin +2
In this paper, leveraging the capabilities of neural networks for modeling the non-linearities that exist in the data, we propose several models that can project data into a low di…
Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
Kyle Akira Rocha, Jeff J. Andrews, Christopher P. L. Berry +13
Binary stars undergo a variety of interactions and evolutionary phases, critical for predicting and explaining observed properties. Binary population synthesis with full stellar-st…
POSYDON: A General-Purpose Population Synthesis Code with Detailed Binary-Evolution Simulations
Tassos Fragos, Jeff J. Andrews, Simone S. Bavera +22
Most massive stars are members of a binary or a higher-order stellar systems, where the presence of a binary companion can decisively alter their evolution via binary interactions.…