Artikel dengan mandat akses publik - Adam RebeiPelajari lebih lanjut
Tersedia di suatu tempat: 4
Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers
EA Huerta, CJ Moore, P Kumar, D George, AJK Chua, R Haas, E Wessel, ...
Physical Review D 97 (2), 024031, 2018
Mandat: US National Science Foundation, Natural Sciences and Engineering Research …
Enabling real-time multi-messenger astrophysics discoveries with deep learning
EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ...
Nature Reviews Physics 1 (10), 600-608, 2019
Mandat: US National Science Foundation, US Department of Energy
Physics of eccentric binary black hole mergers: A numerical relativity perspective
EA Huerta, R Haas, S Habib, A Gupta, A Rebei, V Chavva, D Johnson, ...
Physical Review D 100 (6), 064003, 2019
Mandat: US National Science Foundation, US Department of Energy
Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers
A Rebei, EA Huerta, S Wang, S Habib, R Haas, D Johnson, D George
Physical Review D 100 (4), 044025, 2019
Mandat: US National Science Foundation, US Department of Energy
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