Litcius/Paper detail

<i>Unbiased</i> cosmology inference from biased tracers using the EFT likelihood

Fabian Schmidt, Giovanni Cabass, Jens Jasche, Guilhem Lavaux

2020Journal of Cosmology and Astroparticle Physics43 citationsDOIOpen Access PDF

Abstract

International audience

Topics & Concepts

PhysicsCosmologyDegeneracy (biology)CutoffHalo effectStatistical physicsInferenceHaloRange (aeronautics)Prior probabilityDark matterConvergence (economics)Nonlinear systemTheoretical physicsAstrophysicsTerm (time)Non-GaussianityPlanckInflation (cosmology)Dark energyContext (archaeology)EconometricsValue (mathematics)Bayesian probabilityStatistical inferencePoint (geometry)Likelihood functionBayesian inferenceParameter spaceCosmology and Gravitation TheoriesGalaxies: Formation, Evolution, PhenomenaParticle physics theoretical and experimental studies
<i>Unbiased</i> cosmology inference from biased tracers using the EFT likelihood | Litcius