34 citations · 175 across the 15 of their papers we have counts for
15 papers
Indicator Functions: Distilling the Information from Gaussian Random Fields
Andrew Repp, Ravi K. Sheth, Istvan Szapudi +1
A random Gaussian density field contains a fixed amount of Fisher information on the amplitude of its power spectrum. For a given smoothing scale, however, that information is not…
Indicator Power Spectra: Surgical Excision of Non-linearities and Covariance Matrices for Counts in Cells
Andrew Repp, István Szapudi
We here introduce indicator functions, which identify regions of a given density in order to characterize the density dependence of clustering. After a general introduction to this…
The Variance and Covariance of Counts-in-Cells Probabilities
Andrew Repp, István Szapudi
Counts-in-cells (CIC) measurements contain a wealth of cosmological information yet are seldom used to constrain theories. Although we can predict the shape of the distribution for…
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…