
Solving the BetheSalpeter equation on massively parallel architectures
The last ten years have witnessed fast spreading of massively parallel c...
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Enabling realtime multimessenger astrophysics discoveries with deep learning
Multimessenger astrophysics is a fastgrowing, interdisciplinary field ...
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Deep Learning for MultiMessenger Astrophysics: A Gateway for Discovery in the Big Data Era
This report provides an overview of recent work that harnesses the Big D...
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The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective
Gravitational wave observations of eccentric binary black hole mergers w...
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Supporting HighPerformance and HighThroughput Computing for Experimental Science
The advent of experimental science facilities, instruments and observato...
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Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters
Software container solutions have revolutionized application development...
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Eccentric, nonspinning, inspiral, Gaussianprocess merger approximant for the detection and characterization of eccentric binary black hole mergers
We present ENIGMA, a time domain, inspiralmergerringdown waveform mode...
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ENIGMA: Eccentric, Nonspinning, Inspiral Gaussianprocess Merger Approximant for the characterization of eccentric binary black hole mergers
We present ENIGMA, a time domain, inspiralmergerringdown waveform mode...
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Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and postprocess numerical relativity simulations
Numerical simulations of Einstein's field equations provide unique insig...
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Roland Haas
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