Journal
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
Volume -, Issue 1, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2019/01/042
Keywords
baryon acoustic oscillations; cosmological parameters from LSS; galaxy clustering; redshift surveys
Funding
- Starting Grant GrInflaGal of the European Research Council [ERC-2015-STG 678652]
- ILP LABEX - French state funds [ANR-10-LABX-63, ANR-11-IDEX-0004-02]
- ANR BIG4 project of the French Agence Nationale de la Recherche [ANR-16-CE23-0002]
- National Science Foundation [PHY-1607611]
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Conventional approaches to cosmology inference from galaxy redshift surveys are based on n-point functions, which are under rigorous perturbative control on sufficiently large scales. Here, we present an alternative approach, which employs a likelihood at the level of the galaxy density field. By integrating out small-scale modes based on effective-field theory arguments, we prove that this likelihood is under perturbative control if certain specific conditions are met. We further show that the information captured by this likelihood is equivalent to the combination of the next-to-leading order galaxy power spectrum, leading-order bispectrum, and BAO reconstruction. Combined with MCMC sampling and MAP optimization techniques, our results allow for fully Bayesian cosmology inference from large-scale structure that is under perturbative control. We illustrate this via a first demonstration of unbiased cosmology inference from nonlinear large-scale structure using this likelihood. In particular, we show unbiased estimates of the power spectrum normalization sigma(8) from a catalog of simulated dark matter halos, where nonlinear information is crucial in breaking the b(1) - sigma(8) degeneracy.
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