# Item

ITEM ACTIONSEXPORT

Released

Journal Article

#### Cosmology inference from a biased density field using the EFT-based likelihood

##### MPS-Authors

##### External Resource

No external resources are shared

##### Fulltext (restricted access)

There are currently no full texts shared for your IP range.

##### Fulltext (public)

There are no public fulltexts stored in PuRe

##### Supplementary Material (public)

There is no public supplementary material available

##### Citation

Elsner, F., Schmidt, F., Jasche, J., Lavaux, G., & Nguyen, N. M. (2020). Cosmology
inference from a biased density field using the EFT-based likelihood.* Journal of Cosmology and Astroparticle
Physics,* *2020*(1): 029. doi:10.1088/1475-7516/2020/01/029.

Cite as: http://hdl.handle.net/21.11116/0000-0006-8FA9-B

##### Abstract

The effective-field-theory (EFT) approach to the clustering of galaxies and other biased tracers allows for an isolation of the cosmological information that is protected by symmetries, in particular the equivalence principle, and thus is robust to the complicated dynamics of dark matter, gas, and stars on small scales. All existing implementations proceed by making predictions for the lowest-order n-point functions of biased tracers, as well as their covariance, and comparing with measurements. Recently, we presented an EFT-based expression for the conditional probability of the density field of a biased tracer given the matter density field, which in principle uses information from arbitrarily high order n-point functions. Here, we report results based on this likelihood by applying it to halo catalogs in real space, specifically an inference of the power spectrum normalization σ

_{8}. We include bias terms up to second order as well as the leading higher-derivative term. For a cutoff value of Λ = 0.1 hMpc^{−1}, we recover the ground-truth value of σ_{8}to within 95% CL for different halo samples and redshifts. We discuss possible sources for the remaining systematic bias in σ_{8}as well as future developments.