55 citations · 87 across the 7 of their papers we have counts for
6 papers
On the Convergence of the Milky Way and M31 Kinematics from Cosmological Simulations
J. E. Forero-Romero, D. Sierra-Porta
The kinematics of the Milky Way (MW) and M31, the dominant galaxies in the Local Group (LG), can be used to estimate the LG total mass. New results on the M31 proper motion have re…
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…
The cosmic web through the lens of graph entropy
María Valentina García-Alvarado, Jaime E. Forero-Romero, Xiao-Dong Li
We explore the information theory entropy of a graph as a scalar to quantify the cosmic web. We find entropy values in the range between 1.5 and 3.2 bits. We argue that this entrop…
Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters
Yizhao Yang, Haitao Miao, Qinglin Ma +8
We used the mark weighted correlation functions (MCFs), , to study the large scale structure of the Universe. We studied five types of MCFs with the weighting scheme , w…
Dark matter halo shapes in the Auriga simulations
Jesus Prada, Jaime E. Forero-Romero, Robert J. J. Grand +2
We present shape measurements of Milky Way-sized dark matter halos at redshift in a suite of 30 zoom simulations from the Auriga project. We compare the results in full magne…