Exploring gravitational-wave detection and parameter inference using deep learning methods

Constraining Cosmology with Big Data Statistics of Cosmological Graphs

(2020) Sungryong Hong et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Learning Bayesian Posteriors with Neural Networks for Gravitational-Wave Inference

(2020) Alvin J. K. Chua et al.   PHYSICAL REVIEW LETTERS

Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA

(2020) B. P. Abbott et al.   Living Reviews in Relativity

Classification of gravitational-wave glitches via dictionary learning

(2019) Miquel Llorens-Monteagudo et al.   CLASSICAL AND QUANTUM GRAVITY

Analytical Black-Hole Binary Merger Waveforms

(2019) Sean T. McWilliams   PHYSICAL REVIEW LETTERS

Naturalness sum rules and their collider tests

(2019) Csaba Csáki et al.   JOURNAL OF HIGH ENERGY PHYSICS

Gravitational wave denoising of binary black hole mergers with deep learning

(2019) Wei Wei et al.   PHYSICS LETTERS B

Image-based deep learning for classification of noise transients in gravitational wave detectors

(2018) Massimiliano Razzano et al.   CLASSICAL AND QUANTUM GRAVITY

Matching Matched Filtering with Deep Networks for Gravitational-Wave Astronomy

(2018) Hunter Gabbard et al.   PHYSICAL REVIEW LETTERS

Orbiting radiation stars

(2016) Dean P Foster et al.   CLASSICAL AND QUANTUM GRAVITY

The PyCBC search for gravitational waves from compact binary coalescence

(2016) Samantha A Usman et al.   CLASSICAL AND QUANTUM GRAVITY

Low-latency analysis pipeline for compact binary coalescences in the advanced gravitational wave detector era

(2016) T Adams et al.   CLASSICAL AND QUANTUM GRAVITY

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

Classification methods for noise transients in advanced gravitational-wave detectors

(2015) Jade Powell et al.   CLASSICAL AND QUANTUM GRAVITY

Advanced LIGO

(2015) et al.   CLASSICAL AND QUANTUM GRAVITY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

(2015) J. Veitch et al.   PHYSICAL REVIEW D

Advanced Virgo: a second-generation interferometric gravitational wave detector

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

Total-variation-based methods for gravitational wave denoising

(2014) Alejandro Torres et al.   PHYSICAL REVIEW D

Simple Model of Complete Precessing Black-Hole-Binary Gravitational Waveforms

(2014) Mark Hannam et al.   PHYSICAL REVIEW LETTERS

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

(2013) Rahul Biswas et al.   PHYSICAL REVIEW D