56 citations · 175 across the 11 of their papers we have counts for
11 papers · 1 filter
On the Kinematic Morphology around Halos
Xiaolin Luo, Xiangling Xu, Xin Wang
In this paper, we report an interesting kinematic phenomenon around the halos' edge related to the splashback radius. After the shell-crossing, cosmic flow exhibits various rotatio…
Cosmological constraints from the density gradient weighted correlation function
Xiaoyuan Xiao, Yizhao Yang, Xiaolin Luo +8
The mark weighted correlation function (MCF) is a computationally efficient statistical measure which can probe clustering information beyond that of the conventional 2-po…
Cosmic Velocity Field Reconstruction Using AI
Ziyong Wu, Zhenyu Zhang, Shuyang Pan +6
We develop a deep learning technique to infer the non-linear velocity field from the dark matter density field. The deep learning architecture we use is an "U-net" style convolutio…
Reconciling low and high redshift GRB luminosity correlations
Lu Huang, Zhiqi Huang, Xiaolin Luo +2
The correlation between the peak spectra energy () and the equivalent isotropic energy () of long gamma-ray bursts (GRBs), the so-called Amati relation, is often…
Reaffirming the Cosmic Acceleration without Supernova and CMB
Xiaolin Luo, Zhiqi Huang, Qiyue Qian +1
Recent discussions about supernova magnitude evolution have raised doubts about the robustness of the late-universe acceleration. In a previous letter, Huang did a null test of the…
Exploring the Latest Pantheon SNIa Dataset by Using Three Kinds of Statistics Techniques
Shuang Wang, Xiaolin Luo
In this work, we explore the cosmological consequences of the latest Type Ia supernova (SN Ia) data-set, Pantheon, by adopting the model. The Pantheon data-set is the larges…
Can Non-standard Recombination Resolve the Hubble Tension?
Miaoxin Liu, Zhiqi Huang, Xiaolin Luo +3
The inconsistent Hubble constant values derived from cosmic microwave background (CMB) observations and from local distance-ladder measurements may suggest new physics beyond the s…
Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Fourier space analysis
Xiaolin Luo, Ziyong Wu, Xiao-Dong Li +3
The tomographic Alcock-Paczynski (AP) method utilizes the redshift evolution of the AP distortion to place constraints on cosmological parameters. It has proved to be a robust meth…
The redshift dependence of Alcock-Paczynski effect: cosmological constraints from the current and next generation observations
Xiao-Dong Li, Haitao Miao, Xin Wang +5
The tomographic Alcock-Paczynski (AP) test is a robust large-scale structure (LSS) measurement that receives little contamination from the redshift space distortion (RSD). It has p…
Non-parametric dark energy reconstruction using the tomographic Alcock-Paczynski test
Zhenyu Zhang, Gan Gu, Xiaoma Wang +7
The tomographic Alcock-Paczynski (AP) method can result in tight cosmological constraints by using small and intermediate clustering scales of the large scale structure (LSS) of th…
Probing Cosmic Acceleration by Using Model-Independent Parametrizations and Three Kinds of Supernova Statistics Techniques
Xiaolin Luo, Shuang Wang, Sixiang Wen
In this work, we explore the evolution of the dark energy equation of state ω by using Chevalliear-PolarskiLinder (CPL) parametrization and the binned parametrizations. For binned…