The EFT likelihood for large-scale structure

DOI10.1088/1475-7516/2020/04/042zbMath1491.85003arXiv1909.04022OpenAlexW3098992374MaRDI QIDQ5068468

Fabian Schmidt, Giovanni Cabass

Publication date: 6 April 2022

Published in: Journal of Cosmology and Astroparticle Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.04022

zbMATH Keywords

galaxy clusteringcosmological parameters from LSSsemi-analytic modeling

Mathematics Subject Classification ID

Bayesian inference (62F15) Quantum field theory on curved space or space-time backgrounds (81T20) PDEs with randomness, stochastic partial differential equations (35R60) Galactic and stellar structure (85A15) Spectral theory; trace formulas (e.g., that of Selberg) (11F72) Large-scale systems (93A15) General theory of mathematical modeling (00A71) Cluster sets, prime ends, boundary behavior (30D40) Effective quantum field theories (81T12)

Related Items (9)

Unbiased cosmology inference from biased tracers using the EFT likelihood ⋮ Lagrangian approach to super-sample effects on biased tracers at field level: galaxy density fields and intrinsic alignments ⋮ The likelihood for LSS: stochasticity of bias coefficients at all orders ⋮ BAO scale inference from biased tracers using the EFT likelihood ⋮ The power of locality: primordial non-Gaussianity at the map level ⋮ The EFT likelihood for large-scale structure in redshift space ⋮ Modeling the marked spectrum of matter and biased tracers in real- and redshift-space ⋮ Sigma-eight at the percent level: the EFT likelihood in real space ⋮ An n-th order Lagrangian forward model for large-scale structure

Cites Work

• Large-scale galaxy bias
• Towards optimal extraction of cosmological information from nonlinear data
• The galaxy power spectrum and bispectrum in redshift space
• Cosmology inference from a biased density field using the EFT-based likelihood
• Impact of bias and redshift-space modelling for the halo power spectrum: testing the effective field theory of large-scale structure
• A rigorous EFT-based forward model for large-scale structure

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