activity
20112023
most citedThe Dark Matter Profiles in the Milky Way

85 citations · 1.1k across the 58 of their papers we have counts for

collaborators

58 papers

astro-ph.CO2023★ 15 cited

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-…

astro-ph.HE2023★ 9 cited

The temporally evolving energy and waiting time statistics of two repeating fast radio bursts

Yu Sang, Hai-Nan Lin

Based on two very large samples of repeating fast radio bursts (FRBs), i.e. FRB 20121102A and FRB 20201124A observed by the FAST telescope, we study the statistical properties of e…

astro-ph.HE2023★ 20 cited

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…

astro-ph.CO2023★ 14 cited

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Hai-Nan Lin, Rui Zou

We investigate the fraction of baryon mass in intergalactic medium (), using 18 well-localized FRBs in the redshift range . We construct a five-…

gr-qc2023★ 26 cited

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…

astro-ph.CO2022★ 12 cited

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…

astro-ph.CO2022★ 4 cited

Search for the correlations between host properties and of fast radio bursts: constraints on the baryon mass fraction in IGM

Hai-Nan Lin, Xin Li, Li Tang

The application of fast radio bursts (FRBs) as probes to investigate astrophysics and cosmology requires the proper modelling of the dispersion measures of Milky Way (${\rm DM_{MW}…

astro-ph.CO2021★ 10 cited

Probing the anisotropic distribution of baryon matter in the Universe using fast radio bursts

Hai-Nan Lin, Yu Sang

We propose that fast radio bursts (FRBs) can be used as the probes to constrain the possible anisotropic distribution of baryon matter in the Universe. Monte Carlo simulations show…

gr-qc2021★ 9 cited

Reconstructing the Hubble diagram of gamma-ray bursts using deep learning

Li Tang, Hai-Nan Lin, Xin Li +1

We calibrate the distance and reconstruct the Hubble diagram of gamma-ray bursts (GRBs) using deep learning. We construct an artificial neural network, which combines the recurrent…

astro-ph.HE2021★ 20 cited

Statistical similarity between soft gamma repeaters and the repeating fast radio bursts

Yu Sang, Hai-Nan Lin

We study the statistical properties of the soft gamma repeater SGR 1935+2154. We find that the cumulative distributions of duration, waiting time, fluence and flux can be well fitt…

astro-ph.CO2020★ 25 cited

Model-independently calibrating the luminosity correlations of gamma-ray bursts using deep learning

Li Tang, Xin Li, Hai-Nan Lin +1

Gamma-ray bursts (GRBs) detected at high redshift can be used to trace the Hubble diagram of the Universe. However, the distance calibration of GRBs is not as easily as that of typ…

astro-ph.CO2020★ 32 cited

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…

gr-qc2020★ 13 cited

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…

astro-ph.HE2019★ 24 cited

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…

gr-qc2019★ 7 cited

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…

astro-ph.GA2019★ 85 cited

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…

gr-qc2019★ 22 cited

Non-parametric reconstruction of dark energy and cosmic expansion from the Pantheon compilation of type Ia supernovae

Hai-Nan Lin, Xin Li, Li Tang

The equation of state (EoS) of dark energy plays an important role in the evolution of the universe and arouses great interests in recent years. With the progress on observational…

gr-qc2019★ 3 cited

The prospects of gravitational waves on constraining the anisotropy of the Universe

Zhi-Chao Zhao, Hai-Nan Lin, Zhe Chang

The observation of GW150914 indicated a new independent measurement of the luminosity distance of a gravitational wave event. In this paper, we constrain the anisotropy of the Univ…

astro-ph.GA2018

An anti-correlation between barycentre offsets and velocity dispersion for highest overdensity subhalos in cosmological simulations

Ming-Hua Li, Hai-Nan Lin

In this paper, we use two hydrodynamic simulations to study the barycentre offsets between the entire halo and the gas or dark matter subhalo with largest overdensity…

gr-qc2018★ 3 cited

Testing the variation of the fine structure constant with strongly lensed gravitational waves

Xin Li, Li Tang, Hai-Nan Lin +1

The possible variation of the electromagnetic fine structure constant on cosmological scales arouses great interests in recent years. The strongly lensed gravitational waves…

astro-ph.CO2018★ 41 cited

New constraints on the distance duality relation from the local data

Hai-Nan Lin, Ming-Hua Li, Xin Li

The cosmic distance duality relation (DDR), which connects the angular diameter distance and luminosity distance through a simple formula , is an impor…

astro-ph.CO2018★ 15 cited

Searching for a possible dipole anisotropy on acceleration scale with 147 rotationally supported galaxies

Zhe Chang, Hai-Nan Lin, Zhi-Chao Zhao +1

We report a possible dipole anisotropy on acceleration scale with 147 rotationally supported galaxies in local Universe. It is found that a monopole and dipole correction for…

astro-ph.CO2018★ 11 cited

Testing the anisotropy of the universe using the simulated gravitational wave events from advanced LIGO and Virgo

Hai-Nan Lin, Jin Li, Xin Li

The detection of gravitational waves (GWs) provides a powerful tool to constrain the cosmological parameters. In this paper, we investigate the possibility of using GWs as standard…

astro-ph.CO2017★ 21 cited

A tomographic test of cosmological principle using the JLA compilation of type Ia supernovae

Zhe Chang, Hai-Nan Lin, Yu Sang +1

We test the cosmological principle by fitting a dipolar modulation of distance modulus and searching for an evolution of this modulation with respect to cosmological redshift. Base…