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

Matching Matched Filtering with Deep Networks for Gravitational-Wave Astronomy

(2018) Hunter Gabbard et al.   PHYSICAL REVIEW LETTERS

GW170817: The key to the door of multi-messenger astronomy including gravitational waves

(2018) He Gao   Science China-Physics Mechanics & Astronomy

GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2

(2017) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence

(2017) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

(2017) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

Swope Supernova Survey 2017a (SSS17a), the optical counterpart to a gravitational wave source

(2017) D. A. Coulter et al.   SCIENCE

The first confirmed gravitational wave detection in LIGO’s second observational run

(2017) Jin Li et al.   Science China-Physics Mechanics & Astronomy

Insight-HXMT observations of the first binary neutron star merger GW170817

(2017) TiPei Li et al.   Science China-Physics Mechanics & Astronomy

Properties of the Binary Black Hole Merger GW150914

(2016) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

Observation of Gravitational Waves from a Binary Black Hole Merger

(2016) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

GW151226: Observation of Gravitational Waves from a 22-Solar-Mass Binary Black Hole Coalescence

(2016) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

The detection of gravitational waves and the new era of multi-messenger astronomy

(2016) XiLong Fan   Science China-Physics Mechanics & Astronomy

Gravitational wave astronomy: chance and challenge to fundamental physics and astrophysics

(2016) ZhouJian Cao   Science China-Physics Mechanics & Astronomy

Advanced LIGO

(2015) et al.   CLASSICAL AND QUANTUM GRAVITY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Multivariate classification with random forests for gravitational wave searches of black hole binary coalescence

(2015) Paul T. Baker et al.   PHYSICAL REVIEW D

Gravitational wave astronomy: the current status

(2015) David Blair et al.   Science China-Physics Mechanics & Astronomy

The next detectors for gravitational wave astronomy

(2015) David Blair et al.   Science China-Physics Mechanics & Astronomy

Advanced Virgo: a second-generation interferometric gravitational wave detector

(2014) F Acernese et al.   CLASSICAL AND QUANTUM GRAVITY

Physics, Astrophysics and Cosmology with Gravitational Waves

(2013) B. S. Sathyaprakash et al.   Living Reviews in Relativity

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

(2013) Rahul Biswas et al.   PHYSICAL REVIEW D

WHAT IS THE MOST PROMISING ELECTROMAGNETIC COUNTERPART OF A NEUTRON STAR BINARY MERGER?

(2012) B. D. Metzger et al.   ASTROPHYSICAL JOURNAL

Networks of gravitational wave detectors and three figures of merit

(2011) Bernard F Schutz   CLASSICAL AND QUANTUM GRAVITY

Geometrical expression for the angular resolution of a network of gravitational-wave detectors

(2010) Linqing Wen et al.   PHYSICAL REVIEW D