78 citations · 784 across the 48 of their papers we have counts for
30 papers · 1 filter
Revealing Hidden Cosmic Flows through the Zone of Avoidance with Deep Learning
Alexandra Dupuy, Donghui Jeong, Sungwook E. Hong +3
We present a refined deep-learning-based method to reconstruct the three-dimensional dark matter density, gravitational potential, and peculiar velocity fields in the Zone of Avoid…
The effects of non-linearity on the growth rate constraint from velocity correlation functions
Motonari Tonegawa, Stephen Appleby, Changbom Park +2
The two-point statistics of the cosmic velocity field, measured from galaxy peculiar velocity (PV) surveys, can be used as a dynamical probe to constrain the growth rate of large-s…
Cluster-counterpart Voids: Void Identification from Galaxy Density Field
Junsup Shim, Changbom Park, Juhan Kim +1
We identify cosmic voids from galaxy density fields under the theory of void-cluster correspondence. We extend the previous novel void-identification method developed for the matte…
Cosmological Parameter Constraints from the SDSS Density and Momentum Power Spectra
Stephen Appleby, Motonari Tonegawa, Changbom Park +3
We extract the galaxy density and momentum power spectra from a subset of early-type galaxies in the SDSS DR7 main galaxy catalog. Using galaxy distance information inferred from t…
Tomographic Alcock-Paczynski Test with Redshift-Space Correlation Function: Evidence for the Dark Energy Equation of State Parameter w>-1
Fuyu Dong, Changbom Park, Sungwook E. Hong +4
The apparent shape of galaxy clustering depends on the adopted cosmology used to convert observed redshift to comoving distance, the relation, as it changes the line element…
The Universe is worth pixels: Convolution Neural Network and Vision Transformers for Cosmology
Se Yeon Hwang, Cristiano G. Sabiu, Inkyu Park +1
We present a novel approach for estimating cosmological parameters, , , , and one derived parameter, , from 3D lightcone data of dark matter halos in redshift s…