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Title: The cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure

Journal Article · · Journal of Cosmology and Astroparticle Physics
 [1];  [2];  [3];  [4];  [5];  [6];  [4];  [7]
  1. Stanford Univ., CA (United States). Stanford Inst. of Theoretical Physics (ITP); Univ. di Parma (Italy). Dept. of SMFI and INFN
  2. California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
  3. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  4. Univ. of Portsmouth (United Kingdom). Inst. of Cosmology and Gravitation
  5. Stanford Univ., CA (United States). Stanford Inst. of Theoretical Physics (ITP); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  6. Univ. of Science and Technology of China, Hefei (China); Univ. of Science and Technology of China, Hefei (China). CAS Key Lab. for Research in Galaxies and Cosmology
  7. Univ. of Barcelona (Spain). IEEC-UB

The Effective Field Theory of Large-Scale Structure is a formalism that allows us to predict the clustering of Cosmological Large-Scale Structure in the mildly non-linear regime in an accurate and reliable way. In this paper, after validating our technique against several sets of numerical simulations, we perform the analysis for the cosmological parameters of the DR12 BOSS data. We assume ΛCDM, a fixed value of the baryon/dark-matter ratio, Ωbc, and of the tilt of the primordial power spectrum, ns, and no significant input from numerical simulations. By using the one-loop power spectrum multipoles, we measure the primordial amplitude of the power spectrum, As, the abundance of matter, Ωm, and the Hubble parameter, H0, {to about 13%, 3.2% and 3.2% respectively, obtaining ln (1010As)=2.72± 0.13, 0Ωm=0.309± 0.01, H0=68.5± 2.2 km/(s Mpc) at 68% confidence level. If we then add a CMB prior on the sound horizon, the error bar on H0 is reduced to 1.6%.} These results are a substantial qualitative and quantitative improvement with respect to former analyses, and suggest that the EFTofLSS is a powerful instrument to extract cosmological information from Large-Scale Structure.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Grant/Contract Number:
AC02-76SF00515; 1829740; 1720397
OSTI ID:
1638213
Journal Information:
Journal of Cosmology and Astroparticle Physics, Vol. 2020, Issue 05; ISSN 1475-7516
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 167 works
Citation information provided by
Web of Science

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Cited By (5)

Galaxy bias and primordial non-Gaussianity: insights from galaxy formation simulations with IllustrisTNG journal December 2020
Redshift-space distortions in Lagrangian perturbation theory journal March 2021
On the primordial information available to galaxy redshift surveys journal June 2021
Determining the Hubble Constant without the Sound Horizon: Perspectives with Future Galaxy Surveys text January 2021
Constraining decaying dark matter with BOSS data and the effective field theory of large-scale structures text January 2022