activity
20072026
most citedPrecision cosmology from future lensed gravitational wave and electromagnetic signals

156 citations · 1.4k across the 96 of their papers we have counts for

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Showing astro-ph.IMShow all

7 papers · 1 filter

astro-ph.IM2026

Efficient Evaluation of Gravitational Lensing Amplification Factors: A Deep Learning Framework

Fan Zhang, Qikai Zhang, Qiyuan Yang +2

Wave optics is essential for analyzing lensed gravitational waves (GWs), yet evaluating the diffraction integral is computationally expensive. We present a Sinusoidal Rep…

astro-ph.IM2026★ 2 cited

Parameter estimation of eccentric massive black hole binaries with LISA and its cosmological implications

Jia-Hao Zhong, Jin-Zhao Yang, Tao Yang +4

Future space-based gravitational wave (GW) observatories such as LISA will detect massive black hole binaries (MBHBs), which are expected to be accompanied by electromagnetic count…

astro-ph.IM2025

Observatory Science with eXTP

Ping Zhou, Jirong Mao, Liang Zhang +97

Scheduled for launch in 2030, the enhanced X-ray Timing and Polarization (eXTP) telescope is a Chinese space-based mission aimed at studying extreme conditions and phenomena in ast…

astro-ph.IM2021★ 42 cited

Exploring the sky localization and early warning capabilities of third generation gravitational wave detectors in three-detector network configurations

Yufeng Li, Ik Siong Heng, Man Leong Chan +2

This work characterises the sky localization and early warning performance of networks of third generation gravitational wave detectors, consisting of different combinations of det…

astro-ph.IM2018★ 65 cited

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.…

astro-ph.IM2017★ 46 cited

Some Optimizations on Detecting Gravitational Wave Using Convolutional Neural Network

Xiangru Li, Woliang Yu, Xilong Fan +1

This work investigates the problem of detecting gravitational wave (GW) events based on simulated damped sinusoid signals contaminated with white Gaussian noise. It is treated as a…