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Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that probe the Universe using different cosmic messengers: electromagnetic waves, cosmic rays, gravitational waves and neutrinos.
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Gravitational Wave Denoising of Binary Black Hole Mergers with Deep Learning
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Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant and Stronger Evidence for Physics beyond Λ \Lambda CDM
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Woosley, S. & Janka, T · 2005
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Kessler, R. et al · 2010
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Jones, P. W., Osipov, A. & Rokhlin, V · 2011
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SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way, and Extra-Solar Planetary Systems
Eisenstein, D. J. et al · 2011
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What is the Most Promising Electromagnetic Counterpart of a Neutron Star Binary Merger?
Metzger, B. D. & Berger, E · 2012
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The Einstein Toolkit: a community computational infrastructure for relativistic astrophysics
Löffler, F. et al · 2012
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Radice, D. & Rezzolla, L · 2012
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Kasen, D., Badnell, N. R. & Barnes, J · 2013
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Lecun, Y., Bengio, Y. & Hinton, G · 2015
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Relativistic Simulations of Black Hole–neutron Star Coalescence: the jet Emerges
Paschalidis, V., Ruiz, M. & Shapiro, S. L · 2015
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Producing Magnetar Magnetic Fields in the Merger of Binary Neutron Stars
Giacomazzo, B., Zrake, J., Duffell, P., MacFadyen, A. I. & Perna, R · 2015
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Searching for gravitational waves from compact binaries with precessing spins
Harry, I., Privitera, S., Bohé, A. & Buonanno, A · 2016
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Abbott, B. P. et al · 2016
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National Academies of Sciences, Engineering, and Medicine · 2016
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Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo
Abbott, B. P. et al · 2016
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The Dark Energy Survey: more than dark energy - an overview
Dark Energy Survey Collaboration et al · 2016
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Bayesian optimization with robust bayesian neural networks
Springenberg, J. T., Klein, A., Falkner, S. & Hutter, F · 2016
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Physics of Core-Collapse Supernovae in Three Dimensions: a Sneak Preview
Janka, H. T., Melson, T. & Summa, A · 2016
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Observing Gravitational Waves from Core-Collapse Supernovae in the Advanced Detector Era
Gossan, S. E. et al · 2016
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A Convolutional Neural Network Neutrino Event Classifier
Aurisano, A. et al · 2016
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Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Ling, J., Kurzawski, A. & Templeton, J · 2016
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Binary Neutron Star Mergers: a jet Engine for Short Gamma-ray Bursts
Ruiz, M., Lang, R. N., Paschalidis, V. & Shapiro, S. L · 2016
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Neutrino-Driven Convection in Core-Collapse Supernovae: High-Resolution Simulations
Radice, D. et al · 2016
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The W. M. Keck Observatory Scientific Strategic Plan
W. M. Keck Observatory Scientific Strategic Plan · 2016
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GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
Abbott, B. P. et al · 2017
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Estimating the Contribution of Dynamical Ejecta in the Kilonova Associated with GW170817
Abbott, B. P. et al · 2017
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Complete waveform model for compact binaries on eccentric orbits
Huerta, E. A. et al · 2017
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BOSS-LDG: A Novel Computational Framework that Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery
Matching Matched Filtering with Deep Networks for Gravitational-Wave Astronomy
Gabbard, H., Williams, M., Hayes, F. & Messenger, C · 2018
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R-process Nucleosynthesis from Three-Dimensional Magnetorotational Core-Collapse Supernovae
Mösta, P. et al · 2018
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A unified deep artificial neural network approach to partial differential equations in complex geometries
Berg, J. & Nyström, K · 2018
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Long-term GRMHD Simulations of Neutron Star Merger Accretion Disks: Implications for Electromagnetic Counterparts
Fernández, R. et al · 2018
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Evolution of the magnetized, neutrino-cooled accretion disk in the aftermath of a black hole-neutron star binary merger
Hossein Nouri, F. et al · 2018
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Huerta, E. A. et al · 2017
Cited alongside, same era.
Data Access for LIGO on the OSG
Weitzel, D. et al · 2017
Cited alongside, same era.
Light curves of the neutron star merger GW170817/SSS17a: Implications for r-process nucleosynthesis
Drout, M. R. et al · 2017
Cited alongside, same era.
Mary, a Pipeline to Aid Discovery of Optical Transients
Andreoni, I. et al · 2017
Cited alongside, same era.
The electromagnetic counterpart of the binary neutron star merger ligo/virgo gw170817. ii. uv, optical, and near-infrared light curves and comparison to kilonova models
Cowperthwaite, P. S. et al · 2017
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A gravitational-wave standard siren measurement of the Hubble constant
Abbott, B. P. et al · 2017
Cited alongside, same era.
Cosmology at a crossroads
Freedman, W. L · 2017
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Binary Neutron Star Mergers: Mass Ejection, Electromagnetic Counterparts, and Nucleosynthesis
Radice, D. et al · 2018
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Neural ordinary differential equations
Chen, T. Q., Rubanova, Y., Bettencourt, J. & Duvenaud, D · 2018
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EuroHPC: Leading the way in the European Supercomputing
EuroHPC · 2018
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Neutron star mergers as sites of r-process nucleosynthesis and short gamma-ray bursts
Hotokezaka, K., Beniamini, P. & Piran, T · 2018
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Optimizing searches for electromagnetic counterparts of gravitational wave triggers
Coughlin, M. W. et al · 2018
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Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream
Narayan, G. et al · 2018
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Astronomical event observatory network (2018)
AEON Team · 2018
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Multi-Messenger Astrophysics: Harnessing the Data Revolution
Allen, G. et al · 2018
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GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs
Abbott, B. P. et al · 2019
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Galaxy formation and evolution science in the era of the Large Synoptic Survey Telescope
Robertson, B. E. et al · 2019
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Supporting High-Performance and High-Throughput Computing for Experimental Science
Huerta, E. A., Haas, R., Jha, S., Neubauer, M. & Katz, D. S · 2019
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Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey
Khan, A. et al · 2019
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Early dark energy can resolve the hubble tension
Poulin, V., Smith, T. L., Karwal, T. & Kamionkowski, M · 2019
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Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers
Rebei, A. et al · 2019
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Denoising gravitational waves with enhanced deep recurrent denoising auto-encoders
Shen, H., George, D., Huerta, E. A. & Zhao, Z · 2019
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Reduced-order modeling with artificial neurons for gravitational-wave inference
Chua, A. J. K., Galley, C. R. & Vallisneri, M · 2019
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Comparison of various methods to extract ringdown frequency from gravitational wave data
Nakano, H. et al · 2019
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Characterizing the Gravitational Wave Signal from Core-Collapse Supernovae
Radice, D., Morozova, V., Burrows, A., Vartanyan, D. & Nagakura, H · 2019
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Graph neural networks for icecube signal classification
Choma, N. et al · 2019
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Distinguishing the nature of comparable-mass neutron star binary systems with multimessenger observations: GW170817 case study
Hinderer, T. et al · 2019
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Deep fluids: A generative network for parameterized fluid simulations
Kim, B. et al · 2019
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Subgrid modelling for two-dimensional turbulence using neural networks
Maulik, R., San, O., Rasheed, A. & Vedula, P · 2019
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Extension of the subgrid-scale gradient model for compressible magnetohydrodynamics turbulent instabilities
Viganò, D., Aguilera-Miret, R. & Palenzuela, C · 2019
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Artificial neural network approach to large-eddy simulation of compressible isotropic turbulence
Xie, C., Wang, J., Li, K. & Ma, C · 2019
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Numerical relativity of compact binaries in the 21st century
Duez, M. D. & Zlochower, Y · 2019
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California Institute of Technology NED gravitational wave follow-up service
NED · 2019
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Pennsylvania State University Astrophysical multimessenger observatory network
AMON · 2019
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Lasair: The Transient Alert Broker for LSST:UK
Smith, K. W. et al · 2019
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The National Academies of Sciences, Engineering, and Medicine · 2019
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Community organizations: Changing the culture in which research software is developed and sustained
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