English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Cosmology inference from a biased density field using the EFT-based likelihood

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.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
Cosmology inference from a biased density field using the EFT-based likelihood.pdf (Any fulltext), 2MB
 
File Permalink:
-
Name:
Cosmology inference from a biased density field using the EFT-based likelihood.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Elsner, Franz1, Author              
Schmidt, Fabian2, Author              
Jasche, Jens, Author
Lavaux, Guilhem, Author
Nguyen, Nhat Minh3, Author              
Affiliations:
1Cosmology, MPI for Astrophysics, Max Planck Society, ou_159876              
2High Energy Astrophysics, MPI for Astrophysics, Max Planck Society, ou_159881              
3Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              

Content

show
hide
Free keywords: -
 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 σ8. 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 σ8 to within 95% CL for different halo samples and redshifts. We discuss possible sources for the remaining systematic bias in σ8 as well as future developments.

Details

show
hide
Language(s): eng - English
 Dates: 2020-01-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1475-7516/2020/01/029
Other: LOCALID: 3238142
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Cosmology and Astroparticle Physics
  Abbreviation : J. Cosmol. Astropart. Phys.
  Abbreviation : JCAP
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 2020 (1) Sequence Number: 029 Start / End Page: - Identifier: ISSN: 1475-7516