32 citations
- Chongqing UniversityCN10 papers
- Chengdu UniversityCN2 papers
- Beijing Normal UniversityCN1 paper
- Canadian Association of Emergency PhysiciansCA1 paper
- China Academy of Engineering PhysicsCN1 paper
- China Spallation Neutron SourceCN1 paper
- Chinese Academy of SciencesCN1 paper
- Computer Network Information CenterCN1 paper
- Fusion AcademyUS1 paper
- Fusion (United States)US1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Institute of Nuclear PhysicsUZ1 paper
17 papers
The cosmic distance duality relation in light of the time-delayed strong gravitational lensing
Li Tang, Hai-Nan Lin, Ying Wu
The cosmic distance duality relation (DDR), which links the angular diameter distance and the luminosity distance, is a cornerstone in modern cosmology. Any deviation from DDR may…
Inferring the spin distribution of binary black holes using deep learning
Li Tang, Xi-Long Fan
The spin characteristics of black holes offer valuable insights into the evolutionary pathways of their progenitor stars, crucial for understanding the broader population propertie…
Consistency of Pantheon+ supernovae with a large-scale isotropic universe
Li Tang, Hai-Nan Lin, Liang Liu +1
We investigate the possible anisotropy of the universe using the most up-to-date type Ia supernovae, i.e. the Pantheon+ compilation. We fit the full Pantheon+ data with the dipole-…
Inferring redshift and energy distributions of fast radio bursts from the first CHIME/FRB catalog
Li Tang, Hai-Nan Lin, Xin Li
We reconstruct the extragalactic dispersion measure \ -- redshift relation ( relation) from well-localized fast radio bursts (FRBs) using Bayesian inference method. T…
Revised constraints on the photon mass from well-localized fast radio bursts
Hai-Nan Lin, Li Tang, Rui Zou
We constrain the photon mass from well-localized fast radio bursts (FRBs) using Bayes inference method. The probability distributions of dispersion measures (DM) of host galaxy and…
Deep learning method in testing the cosmic distance duality relation
Li Tang, Hai-Nan Lin, Liang Liu
The cosmic distance duality relation (DDR) is constrained from the combination of type-Ia supernovae (SNe Ia) and strong gravitational lensing (SGL) systems using deep learning met…