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20142026
most citedGravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

3.6k citations · 30.2k across the 65 of their papers we have counts for

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32 papers · 1 filter

gr-qc2022★ 20 cited

Calculating the precision of tilt-to-length coupling estimation and noise subtraction in LISA using Fisher information

Daniel George, Jose Sanjuan, Paul Fulda +1

Tilt-to-length (TTL) noise from angular jitter in LISA is projected to be the dominant noise source in the milli-Hertz band unless corrected in post-processing. The correction is o…

gr-qc2020★ 807 cited

Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1344

Gravitational waves enable tests of general relativity in the highly dynamical and strong-field regime. Using events detected by LIGO-Virgo up to 1 October 2019, we evaluate the co…

gr-qc2020★ 2.4k cited

GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

R. Abbott, T. D. Abbott, S. Abraham +1349

We report on gravitational wave discoveries from compact binary coalescences detected by Advanced LIGO and Advanced Virgo in the first half of the third observing run (O3a) between…

gr-qc2020★ 1.3k cited

GW190521: A Binary Black Hole Merger with a Total Mass of

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1253

On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio…

gr-qc2019★ 564 cited

Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1245

Advanced LIGO and Advanced Virgo are actively monitoring the sky and collecting gravitational-wave strain data with sufficient sensitivity to detect signals routinely. In this pape…

gr-qc2019★ 85 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…