587 citations · 5.7k across the 66 of their papers we have counts for
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DataVault: A Data Storage Infrastructure for the Einstein Toolkit
Yufeng Luo, Roland Haas, Qian Zhang +1
Data sharing is essential in the numerical simulations research. We introduce a data repository, DataVault, that is designed for data sharing, search and analysis. A comparative st…
Deep Learning with Quantized Neural Networks for Gravitational Wave Forecasting of Eccentric Compact Binary Coalescence
Wei Wei, E. A. Huerta, Mengshen Yun +5
We present the first application of deep learning forecasting for binary neutron stars, neutron star - black hole systems, and binary black hole mergers that span an eccentricity r…
Initial Data and Eccentricity Reduction Toolkit for Binary Black Hole Numerical Relativity Waveforms
Sarah Habib, Antoni Ramos-Buades, E. A. Huerta +3
The production of numerical relativity waveforms that describe quasicircular binary black hole mergers requires high-quality initial data, and an algorithm to iteratively reduce re…
Source term method for binary neutron stars initial data
Bing-Jyun Tsao, Roland Haas, Antonios Tsokaros
The initial condition problem for a binary neutron star system requires a Poisson equation solver for the velocity potential with a Neumann-like boundary condition on the surface o…
Observation of eccentric binary black hole mergers with second and third generation gravitational wave detector networks
Zhuo Chen, E. A. Huerta, Joseph Adamo +4
[Abridged] We introduce an improved version of the Eccentric, Non-spinning, Inspiral-Gaussian-process Merger Approximant (ENIGMA) waveform model. We find that this ready-to-use mod…
Solving the Bethe-Salpeter equation on massively parallel architectures
Xiao Zhang, Sebastian Achilles, Jan Winkelmann +3
The last ten years have witnessed fast spreading of massively parallel computing clusters, from leading supercomputing facilities down to the average university computing center. M…