1.2k citations · 15.5k across the 163 of their papers we have counts for
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Cross-correlation of galaxies and galaxy clusters in the Sloan Digital Sky Survey and the importance of non-Poissonian shot noise
Kerstin Paech, Nico Hamaus, Ben Hoyle +5
We present measurements of angular cross power spectra between galaxies and optically-selected galaxy clusters in the final photometric sample of the Sloan Digital Sky Survey (SDSS…
Weak lensing magnification in the Dark Energy Survey Science Verification Data
M. Garcia-Fernandez, E. Sánchez, I. Sevilla-Noarbe +68
In this paper the effect of weak lensing magnification on galaxy number counts is studied by cross-correlating the positions of two galaxy samples, separated by redshift, using dat…
Correcting cosmological parameter biases for all redshift surveys induced by estimating and reweighting redshift distributions
Markus Michael Rau, Ben Hoyle, Kerstin Paech +1
Photometric redshift uncertainties are a major source of systematic error for ongoing and future photometric surveys. We study different sources of redshift error caused by choosin…
Stacking for machine learning redshifts applied to SDSS galaxies
Roman Zitlau, Ben Hoyle, Kerstin Paech +3
We present an analysis of a general machine learning technique called 'stacking' for the estimation of photometric redshifts. Stacking techniques can feed the photometric redshift…
The redMaPPer Galaxy Cluster Catalog From DES Science Verification Data
E. S. Rykoff, E. Rozo, D. Hollowood +86
We describe updates to the \redmapper{} algorithm, a photometric red-sequence cluster finder specifically designed for large photometric surveys. The updated algorithm is applied t…