68 citations · 83 across the 6 of their papers we have counts for
7 papers
Optimal cosmological cross-correlation analysis with U-Net-based processing
Weitong Yan, Daniel Grün, Oliver Friedrich +1
Cosmological cross-correlation analyses are commonly based on two-point statistics, which are optimal for Gaussian random fields but do not capture all relevant information in the…
Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence
Oliver Friedrich, Lina Castiblanco, Anik Halder +1
At any given scale, 32-point statistics extract only three numbers from the joint distribution of the cosmic matter density and galaxy density fluctuations: their variances…
Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does)
Jed Homer, Oliver Friedrich, Daniel Gruen
Making inferences about physical properties of the Universe requires knowledge of the data likelihood. A Gaussian distribution is commonly assumed for the uncertainties with a cova…
Cosmology on point: modelling spectroscopic tracer one-point statistics
Beth McCarthy Gould, Lina Castiblanco, Cora Uhlemann +1
The 1-point matter density probability distribution function (PDF) captures some of the non-Gaussian information lost in standard 2-point statistics. The matter PDF can be well pre…
Informed total-error-minimizing priors: Interpretable cosmological parameter constraints despite complex nuisance effects
Bernardita Ried Guachalla, Dylan Britt, Daniel Gruen +1
While Bayesian inference techniques are standard in cosmological analyses, it is common to interpret resulting parameter constraints with a frequentist intuition. This intuition ca…
Bounds on galaxy stochasticity from halo occupation distribution modeling
Dylan Britt, Daniel Gruen, Oliver Friedrich +2
The joint probability distribution of matter overdensity and galaxy counts in cells is a powerful probe of cosmology, and the extent to which variance in galaxy counts at fixed mat…
Performance of internal Covariance Estimators for Cosmic Shear Correlation Functions
O. Friedrich, S. Seitz, T. F. Eifler +1
Data re-sampling methods such as the delete-one jackknife are a common tool for estimating the covariance of large scale structure probes. In this paper we investigate the concepts…