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This paper presents a search for generic short-duration gravitational-wave (GW) transients (or GW bursts) in the data from the third observing run of Advanced LIGO and Advanced Virgo. We use coherent WaveBurst (cWB) pipeline enhanced with a…

Thanks to the recent discoveries of gravitational wave signals from binary black hole mergers by Advanced Laser Interferometer Gravitational Wave Observatory and Advanced Virgo, the genuinely strong-field dynamics of spacetime can now be…

Joint gravitational wave (GW) and electromagnetic (EM) observations, as a key research direction in multi-messenger astronomy, will provide deep insight into the astrophysics of a vast range of astronomical phenomena. Uncertainties in the…

高能天体物理现象 · 物理学 2015-06-19 Xilong Fan , Christopher Messenger , Ik Siong Heng

Bayesian inference is used to extract unknown parameters from gravitational wave signals. Detector noise is typically modelled as stationary, although data from the LIGO and Virgo detectors is not stationary. We demonstrate that the…

天体物理仪器与方法 · 物理学 2021-07-13 O Edy , A. Lundgren , L. K. Nuttall

The estimation of patient-specific tissue properties in the form of model parameters is important for personalized physiological models. However, these tissue properties are spatially varying across the underlying anatomical model,…

机器学习 · 统计学 2020-05-19 Jwala Dhamala , Sandesh Ghimire , John L. Sapp , B. Milan Horácek , Linwei Wang

Gravitational-wave (GW) observations of binary black-hole (BBH) coalescences are expected to address outstanding questions in astrophysics, cosmology, and fundamental physics. Realizing the full discovery potential of upcoming…

This paper introduces the Descriptive Variational Autoencoder (DVAE), an unsupervised and end-to-end trainable neural network for predicting vehicle trajectories that provides partial interpretability. The novel approach is based on the…

机器学习 · 计算机科学 2021-06-25 Marion Neumeier , Andreas Tollkühn , Thomas Berberich , Michael Botsch

To achieve reliable mining results for massive vessel trajectories, one of the most important challenges is how to efficiently compute the similarities between different vessel trajectories. The computation of vessel trajectory similarity…

机器学习 · 计算机科学 2021-06-11 Maohan Liang , Ryan Wen Liu , Shichen Li , Zhe Xiao , Xin Liu , Feng Lu

A small fraction of gravitational-wave (GW) signals from binary black holes (BBHs) will be gravitationally lensed by intervening galaxies and galaxy clusters. Strong lensing will produce multiple identical copies of the GW signal arriving…

广义相对论与量子宇宙学 · 物理学 2026-02-09 Koustav N. Maity , Souvik Jana , Tejaswi Venumadhav , Ankur Barsode , Parameswaran Ajith

With the advent of gravitational wave astronomy, techniques to extend the reach of gravitational wave detectors are desired. In addition to the stellar-mass black hole and neutron star mergers already detected, many more are below the…

天体物理仪器与方法 · 物理学 2020-07-22 Rich Ormiston , Tri Nguyen , Michael Coughlin , Rana X. Adhikari , Erik Katsavounidis

This paper reviews gravitational wave sources and their detection. One of the most exciting potential sources of gravitational waves are coalescing binary black hole systems. They can occur on all mass scales and be formed in numerous ways,…

We apply common gravitational wave inference procedures on binary black hole merger waveforms beyond general relativity. We consider dynamical Chern-Simons gravity, a modified theory of gravity with origins in string theory and loop quantum…

广义相对论与量子宇宙学 · 物理学 2023-02-02 Maria Okounkova , Maximiliano Isi , Katerina Chatziioannou , Will M. Farr

Estimating causal effects from observational data is challenging, especially in the presence of latent confounders. Much work has been done on addressing this challenge, but most of the existing research ignores the bias introduced by the…

机器学习 · 计算机科学 2024-08-15 Yang Xie , Ziqi Xu , Debo Cheng , Jiuyong Li , Lin Liu , Yinghao Zhang , Zaiwen Feng

Gravitational lensing has been extensively observed for electromagnetic signals, but not yet for gravitational waves (GWs). Detecting lensed GWs will have many astrophysical and cosmological applications, and becomes more feasible as the…

广义相对论与量子宇宙学 · 物理学 2023-12-12 Ángel Garrón , David Keitel

Observations of microlensed gravitational waves (GWs) emanated by compact binary coalescences (CBCs) are essential for studying the mass density distribution in the universe, including black holes and dark matter halos. However, no…

广义相对论与量子宇宙学 · 物理学 2025-12-22 So Tanaka , Gopalkrishna Prabhu , Shasvath J. Kapadia , Teruaki Suyama

We extend variational autoencoders (VAEs) to collaborative filtering for implicit feedback. This non-linear probabilistic model enables us to go beyond the limited modeling capacity of linear factor models which still largely dominate…

机器学习 · 统计学 2018-02-19 Dawen Liang , Rahul G. Krishnan , Matthew D. Hoffman , Tony Jebara

Inferring the astrophysical parameters of coalescing compact binaries is a key science goal of the upcoming advanced LIGO-Virgo gravitational-wave detector network and, more generally, gravitational-wave astronomy. However, current…

广义相对论与量子宇宙学 · 物理学 2015-03-05 Priscilla Canizares , Scott E. Field , Jonathan Gair , Vivien Raymond , Rory Smith , Manuel Tiglio

In recent years, there have been significant advances in multi-messenger astronomy due to the discovery of the first, and so far only confirmed, gravitational wave event with a simultaneous electromagnetic (EM) counterpart, as well as…

The Laser Interferometer Space Antenna (LISA) will be capable of detecting gravitational waves (GWs) in the milli-Hertz band. Among various sources, LISA will detect the coalescence of supermassive black hole binaries (SMBHBs). Accurate and…

广义相对论与量子宇宙学 · 物理学 2025-02-25 Abhishek Sharma , Anand S. Sengupta , Suvodip Mukherjee

We report the results of an in-depth analysis of the parameter estimation capabilities of BayesWave, an algorithm for the reconstruction of gravitational-wave signals without reference to a specific signal model. Using binary black hole…

广义相对论与量子宇宙学 · 物理学 2019-02-13 Francesco Pannarale , Ronaldas Macas , Patrick J. Sutton
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