activity
20182020
most citedEnabling real-time multi-messenger astrophysics discoveries with deep learning

85 citations · 85 across the 1 of their papers we have counts for

collaborators

5 papers

gr-qc2020

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…

gr-qc201985 cited

Enabling real-time multi-messenger astrophysics discoveries with deep learning

E. A. Huerta, Gabrielle Allen, Igor Andreoni +57

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…

gr-qc2019

Characterization of numerical relativity waveforms of eccentric binary black hole mergers

Sarah Habib, E. A. Huerta

We introduce a method to quantify the initial eccentricity, gravitational wave frequency, and mean anomaly of numerical relativity simulations that describe non-spinning black hole…

gr-qc2019

Physics of eccentric binary black hole mergers: A numerical relativity perspective

E. A. Huerta, Roland Haas, Sarah Habib +9

Gravitational wave observations of eccentric binary black hole mergers will provide unequivocal evidence for the formation of these systems through dynamical assembly in dense stel…

gr-qc2018

Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers

Adam Rebei, E. A. Huerta, Sibo Wang +4

We determine the mass-ratio, eccentricity and binary inclination angles that maximize the contribution of the higher-order waveform multipoles $(\ell, \, |m|)= \{(2,\,2),\, (2,\,1)…