Detection of Einstein telescope gravitational wave signals from binary black holes using deep learning

Identify real gravitational wave events in the LIGO-Virgo catalog GWTC-1 and GWTC-2 with convolutional neural network

(2022) Meng-Qin Jiang et al.   Frontiers of Physics

Exploring compact binary populations with the Einstein Telescope

(2022) N. Singh et al.   ASTRONOMY & ASTROPHYSICS

Forecasting the Detection Capabilities of Third-generation Gravitational-wave Detectors Using GWFAST

(2022) Francesco Iacovelli et al.   ASTROPHYSICAL JOURNAL

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

(2021) João D Álvares et al.   CLASSICAL AND QUANTUM GRAVITY

Science case for the Einstein telescope

(2020) Michele Maggiore et al.   JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS

Photometric redshift estimation via deep learning

(2018) A. D’Isanto et al.   ASTRONOMY & ASTROPHYSICS

Photometric redshift estimation via deep learning

(2018) A. D’Isanto et al.   ASTRONOMY & ASTROPHYSICS

The FIRST Classifier: compact and extended radio galaxy classification using deep Convolutional Neural Networks

(2018) Wathela Alhassan et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Automated morphological classification of galaxies based on projection gradient nonnegative matrix factorization algorithm

(2017) I. M. Selim et al.   EXPERIMENTAL ASTRONOMY

Planck2015 results

(2016) et al.   ASTRONOMY & ASTROPHYSICS

Star–galaxy classification using deep convolutional neural networks

(2016) Edward J. Kim et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Observation of Gravitational Waves from a Binary Black Hole Merger

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

Planck2015 results

(2016) et al.   ASTRONOMY & ASTROPHYSICS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

A comparison of classification techniques for seismic facies recognition

(2015) Tao Zhao et al.   Interpretation-A Journal of Subsurface Characterization

Selection of optimal window length using STFT for quantitative SNR analysis of LFM signal

(2014) Qingbo Yin et al.   Journal of Systems Engineering and Electronics

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

(2013) Rahul Biswas et al.   PHYSICAL REVIEW D

Sensitivity studies for third-generation gravitational wave observatories

(2011) S Hild et al.   CLASSICAL AND QUANTUM GRAVITY

The Einstein Telescope: a third-generation gravitational wave observatory

(2010) M Punturo et al.   CLASSICAL AND QUANTUM GRAVITY

Photometric redshift estimation using Gaussian processes

(2010) D. G. Bonfield et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

LIGO: the Laser Interferometer Gravitational-Wave Observatory

(2009) B P Abbott et al.   REPORTS ON PROGRESS IN PHYSICS

Space-based gravitational wave detection with LISA

(2008) D A Shaddock   CLASSICAL AND QUANTUM GRAVITY

Stabilized lasers for advanced gravitational wave detectors

(2008) B Willke et al.   CLASSICAL AND QUANTUM GRAVITY

Morphology classification and photometric redshift measurement of galaxies

(2008) Yanxia Zhang et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY