The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Unveiling gravitational waves from core-collapse supernovae with MUSE
A. Veutro, I. Di Palma, M. Drago, P. Cerdá-Durán, R. van der Laag, M. López and F. Ricci Physical Review D 112(10) (2025) https://doi.org/10.1103/j2vl-v34t
Extracting non-Gaussian features in gravitational wave observation data using self-supervised learning
Ameliorating transient noise bursts in gravitational-wave searches for intermediate-mass black holes
Melissa Lopez, Giada Caneva Santoro, Ana Martins, Stefano Schmidt, Jonno Schoppink, Wouter van Straalen, Collin Capano and Sarah Caudill Physical Review D 111(10) (2025) https://doi.org/10.1103/PhysRevD.111.103020
Data analysis of space-borne gravitational wave missions
LI En-Kun, CHEN Hong-Yu, LI Ya-Nan, LI Zhi-Yuan, WANG Han, WANG Tian-Xiao, YE Chang-Qing, ZHANG Xue-Ting, HU Yi-Ming and MEI Jian-Wei SCIENTIA SINICA Physica, Mechanica & Astronomica 55(3) 230406 (2025) https://doi.org/10.1360/SSPMA-2024-0357
Generative adversarial network for stellar core-collapse gravitational waves
Evaluating machine learning models for supernova gravitational wave signal classification
Y Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev and Ernazar Abdikamalov Machine Learning: Science and Technology 5(4) 045077 (2024) https://doi.org/10.1088/2632-2153/ada33a
Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories
Jade Powell, Alberto Iess, Miquel Llorens-Monteagudo, Martin Obergaulinger, Bernhard Müller, Alejandro Torres-Forné, Elena Cuoco and José A. Font Physical Review D 109(6) (2024) https://doi.org/10.1103/PhysRevD.109.063019
21cmlstm: A Fast Memory-based Emulator of the Global 21 cm Signal with Unprecedented Accuracy
Photometric redshift estimation for CSST survey with LSTM neural networks
Zhijian Luo, Yicheng Li, Junhao Lu, Zhu Chen, Liping Fu, Shaohua Zhang, Hubing Xiao, Wei Du, Yan Gong, Chenggang Shu, Wenwen Ma, Xianmin Meng, Xingchen Zhou and Zuhui Fan Monthly Notices of the Royal Astronomical Society 535(2) 1844 (2024) https://doi.org/10.1093/mnras/stae2446
N. Krüger and M. Völschow 1138 55 (2024) https://doi.org/10.1007/978-3-031-60023-4_10
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
Seiya Sasaoka, Naoki Koyama, Diego Dominguez, Yusuke Sakai, Kentaro Somiya, Yuto Omae and Hirotaka Takahashi Physical Review D 109(4) (2024) https://doi.org/10.1103/PhysRevD.109.043011
Premerger detection of massive black hole binaries using deep learning
Using a neural network approach to accelerate disequilibrium chemistry calculations in exoplanet atmospheres
Julius L A M Hendrix, Amy J Louca and Yamila Miguel Monthly Notices of the Royal Astronomical Society 524(1) 643 (2023) https://doi.org/10.1093/mnras/stad1763