Oliver Friedrich 
           Fraunhofer-Schwarzschild Fellow
           University Observatory Munich
       cosmologist working to find 
         a point to stand on 
      
      
       I am fascinated by the classical, quantum and Bayesian probability distributions that govern cosmology and cosmic physics. My research aims to understand these three regimes of probability theory in cosmology and their sometimes unexpected connections.
      
       My scientific activities - and the publications resulting from them - can be sorted into the following groups:
      
      
       Quantum first:
       concrete models of cosmic physics that implement features of quantum gravity 
      Selected publications:
      
      -  Friedrich, Cao, Carroll, Cheng, Singh (2024) 
  Holographic phenomenology via overlapping degrees of freedom  
 arXiv:2402.11016   Class. & Quant. Gravity   
      -  Singh, Friedrich (2023) 
  Emergence of Gravitational Potential and Time Dilation from Non-interacting Systems Coupled to a Global Quantum Clock  
 entry for GRF essay competition 
 arXiv:2304.01263  
      -  Friedrich, Singh, Doré (2022) 
  Toolkit for Scalar Fields in Universes with finite-dimensional Hilbert Space  
 arXiv:2201.08405   Class. & Quant. Gravity   
      
      
      
       Probability distribution functions
       of cosmic density fields 
      Selected publications:
      
      -  Friedrich, Castiblanco, Halder, Uhlemann (2025) 
  Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence  
 arXiv:2507.16957  
      -  Uhlemann, Friedrich et al. (2022) 
  It takes two to know one: Computing accurate one-point PDF covariances from effective two-point PDF models  
 arXiv:2210.07819   OJA  
      -  Friedrich et al. (2022) 
  The PDF perspective on the tracer-matter connection: Lagrangian bias and non-Poissonian shot noise  
 arXiv:2107.02300   MNRAS  
      -  Friedrich et al. (2020) 
  Primordial non-Gaussianity without tails -- how to measure fNL with the bulk of the density PDF  
 arXiv:1912.06621   MNRAS  
      -  Uhlemann, Friedrich et al. (2020) 
  Fisher for complements: Extracting cosmology and neutrino mass from the counts-in-cells PDF  
 arXiv:1911.11158   MNRAS  
      -  Gruen, Friedrich et al. (2018) 
  Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data  
 arXiv:1710.05045   Physical Review D  
      -  Friedrich et al. (2018) 
  Density split statistics: joint model of counts and lensing in cells  
 arXiv:1710.05162   Physical Review D  
      
      
      
       How certain is cosmological information? 
      Selected publications:
      
      -  Percival, Friedrich, Sellentin, Heavens (2022) 
  Matching Bayesian and frequentist coverage probabilities when using an approximate data covariance matrix  
 arXiv:2108.10402   MNRAS  
      -  Friedrich et al. (2021) 
  Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit  
 arXiv:2012.08568   MNRAS  
      -  Friedrich & Eifler (2018) 
  Precision matrix expansion - efficient use of numerical simulations in estimating errors on cosmological parameters  
 arXiv:1703.07786   MNRAS  
      -  Friedrich et al. (2016) 
  Performance of internal covariance estimators for cosmic shear correlation functions  
 arXiv:1508.00895   MNRAS  
      
      
      
       Supporting students in their exploration of the cosmos
      Selected publications:
      
      -  Homer, Friedrich, Gruen (2025) 
  Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does)  
 arXiv:2412.02311   A&A  
      -  Burger, Friedrich, Harnois-Déraps, Schneider et al. (2022) 
  KiDS-1000 Cosmology: Constraints from density split statistics  
 arXiv:2208.02171   A&A  
      -  Halder, Friedrich, Seitz, Varga (2021) 
  The integrated 3-point correlation function of cosmic shear  
 arXiv:2102.10177   MNRAS  
      -  Burger, Friedrich, Harnois-Déraps, Schneider (2021) 
  A revised density split statistic model for general filters  
 arXiv:2106.13214   A&A