4 papers
Parameter inference of millilensed gravitational waves using neural spline flows
Zheng Qin, Tian-Yang Sun, Bo-Yuan Li +3
When gravitational waves (GWs) propagate near massive objects, they undergo gravitational lensing that imprints lens model dependent modulations on the waveform. This effect provid…
Detecting stochastic gravitational wave background from cosmic strings with next-generation detector networks: Component separation based on a multi-source astrophysical foreground noise model
Geng-Chen Wang, Hong-Bo Jin, Xin Zhang
Detecting stochastic gravitational wave background (SGWB) from cosmic strings is crucial for unveiling the evolutionary laws of the early universe and validating non-standard cosmo…
Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using Data-driven Systematic Effect Model
Li-Yang Gao, Léon V. E. Koopmans, Florent G. Mertens +11
Neutral hydrogen (HI) serves as a crucial probe for the Cosmic Dawn and the Epoch of Reionization (EoR). Actual observations of the 21-cm signal often encounter challenges such as…
Revisiting holographic dark energy after DESI 2024
Tian-Nuo Li, Yun-He Li, Guo-Hong Du +4
New insights from the Dark Energy Spectroscopic Instrument (DESI) 2024 baryon acoustic oscillations (BAO) data, in conjunction with cosmic microwave background (CMB) and Type Ia su…