4 papers
Identifiability of mode Resonances in Eccentric Binary Neutron Stars with Multidetector Observations
Mengfei Sun, Jie Wu, Qianning Hu +6
mode resonances in eccentric binary neutron star systems are potential probes of internal stratification, superfluidity, composition gradients, and the equation of state. Altho…
Detection of Multiband Lensed Gravitational Waves from Dark Matter Halos with Deep Learning
Mengfei Sun, Jie Wu, Qianning Hu +6
Lensed gravitational waves acquire amplitude and phase modulations when propagating through the gravitational potential of dark matter halos, producing interference structures in t…
Machine Learning for Nanohertz Gravitational Wave Detection and Parameter Estimation with Pulsar Timing Array
MengNi Chen, Yuanhong Zhong, Yi Feng +2
Studies have shown that the use of pulsar timing arrays (PTAs) is among the approaches with the highest potential to detect very low-frequency gravitational waves in the near futur…
Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors
Xilong Fan, Jin Li, Xin Li +2
In this paper, we study an application of deep learning to the advanced LIGO and advanced Virgo coincident detection of gravitational waves (GWs) from compact binary star mergers.…