29 citations · 39 across the 4 of their papers we have counts for
5 papers
Galaxy Bias and from Counts in Cells from the SDSS Main Sample
Andrew Repp, István Szapudi
The counts-in-cells (CIC) galaxy probability distribution depends on both the dark matter clustering amplitude and the galaxy bias . We present a theory for the CIC distri…
Empirical Validation of the Ising Galaxy Bias Model
Andrew Repp, István Szapudi
Repp and Szapudi (2019) present a physically-motivated galaxy bias model which remains physical in low-density regions and which also provides a better fit to simulation data than…
Hawaii Two-0: High-redshift galaxy clustering and bias
Róbert Beck, Conor McPartland, Andrew Repp +2
We perform an analysis of two-point galaxy clustering and galaxy bias using Subaru Hyper-Suprime Cam (HSC) data taken jointly by the Subaru Strategic Program and the University of…
An Ising model for galaxy bias
Andrew Repp, István Szapudi
A reliable model of galaxy bias is necessary for interpreting data from future dense galaxy surveys. Conventional bias models are inaccurate, in that they can yield unphysical resu…
A Gravitational Ising Model for the Statistical Bias of Galaxies
Andrew Repp, István Szapudi
Evaluation of gravitational theories by means of cosmological data suffers from the fact that galaxies are biased tracers of dark matter. Current bias models focus primarily on hig…