activity
20052019
most citedGravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

3.6k citations · 4.8k across the 12 of their papers we have counts for

collaborators

12 papers

gr-qc2019★ 147 cited

Model comparison from LIGO-Virgo data on GW170817's binary components and consequences for the merger remnant

The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1191

GW170817 is the very first observation of gravitational waves originating from the coalescence of two compact objects in the mass range of neutron stars, accompanied by electromagn…

astro-ph.IM2018★ 65 cited

Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors

Xilong Fan, Jin Li, Xin Li +2

In this paper, we study an application of deep learning to the advanced LIGO and advanced Virgo coincident detection of gravitational waves (GWs) from compact binary star mergers.…

astro-ph.HE2017★ 3.6k cited

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

LIGO Scientific Collaboration, Virgo Collaboration, Fermi Gamma-Ray Burst Monitor +1

On 2017 August 17, the gravitational-wave event GW170817 was observed by the Advanced LIGO and Virgo detectors, and the gamma-ray burst (GRB) GRB 170817A was observed independently…

astro-ph.HE2013★ 34 cited

Search for long-lived gravitational-wave transients coincident with long gamma-ray bursts

The LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +875

Long gamma-ray bursts (GRBs) have been linked to extreme core-collapse supernovae from massive stars. Gravitational waves (GW) offer a probe of the physics behind long GRBs. We inv…

gr-qc2013★ 160 cited

Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network

the LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +801

Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational wave detectors. Gravitational radiation encodes rich i…

astro-ph.IM2013★ 115 cited

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Rahul Biswas, Lindy Blackburn, Junwei Cao +13

The sensitivity of searches for astrophysical transients in data from the LIGO is generally limited by the presence of transient, non-Gaussian noise artifacts, which occur at a hig…