3 papers
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.HE2026
Time-Domain Deep Learning for Pairwise Identification of Strongly Lensed Gravitational-Wave Candidates
Fan Zhang, Qikai Zhang, Qiyuan Yang +3
As gravitational wave (GW) catalogs continue to expand, exhaustive Bayesian comparisons of candidate event pairs become increasingly computationally expensive, which motivates the…
astro-ph.HE2025
Considering lensing effect on gravitational wave signals from black holes in mass gap
Qiyuan Yang, Zhi-Qiang You, Xilong Fan
The pair-instability supernova (PISN) mechanism predicts a mass gap in the black hole population, where no stellar-origin black holes are expected to form. However, several binary…