38 citations · 144 across the 7 of their papers we have counts for
21 papers
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…
Machine learning forecasts of the cosmic distance duality relation with strongly lensed gravitational wave events
Rubén Arjona, Hai-Nan Lin, Savvas Nesseris +1
We use simulated strongly lensed gravitational wave events from the Einstein Telescope to demonstrate how the luminosity and angular diameter distances, and respe…
Strongly lensed gravitational waves as the probes to test the cosmic distance duality relation
Hai-Nan Lin, Xin Li, Li Tang
The cosmic distance relation (DDR) associates the angular diameters distance () and luminosity distance () by a simple formula, i.e., . The strongly lense…
Scale-invariance in the repeating fast radio burst 121102
Hai-Nan Lin, Yu Sang
The statistical properties of the repeating fast radio burst FRB 121102 are investigated. We find that the cumulative distributions of fluence, flux density, total energy and waiti…
A new method to test the cosmic distance duality relation using the strongly lensed gravitational waves
Hai-Nan Lin, Xin Li
We propose a new method to test the cosmic distance duality relation using the strongly lensed gravitational waves. The simultaneous observations of image positions, the relative t…
The Dark Matter Profiles in the Milky Way
Hai-Nan Lin, Xin Li
We investigate the dark matter profile of the Milky Way using the observed rotation curve data out to 100 kpc. The baryonic matter of the Milky Way is divided into bulge, disk and…