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Title: Efficient 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];  [1];  [3];  [4]
  1. Stanford University, CA (United States); SLAC National Accelerator Laboratory, Menlo Park, CA (United States)
  2. Stanford University, CA (United States); Dipartimento di SMFI dell'Università di Parma and INFN, Parma (Italy)
  3. University of Science and Technology of China, Anhui (China)
  4. University of Portsmouth (United Kingdom)

The precision of the cosmological data allows us to accurately approximate the predictions for cosmological observables by Taylor expanding up to a low order the dependence on the cosmological parameters around a reference cosmology. By applying this observation to the redshift-space one-loop galaxy power spectrum of the Effective Field Theory of Large-Scale Structure, we analyze the BOSS DR12 data by scanning over all the parameters of ΛCDM cosmology with massive neutrinos. Furthermore, we impose several sets of priors, the widest of which is just a Big Bang Nucleosynthesis prior on the current fractional energy density of baryons, Ωb h2, and a bound on the sum of neutrino masses to be less than 0.9 eV. In this case we measure the primordial amplitude of the power spectrum, As, the abundance of matter, Ωm, the Hubble parameter, H0, and the tilt of the primordial power spectrum, ns, to about 19%, 5.7%, 2.2% and 7.3% respectively, obtaining ln (1010As)=2.91± 0.19, Ωm=0.314± 0.018, H0=68.7± 1.5 km/(s Mpc) and ns=0.979± 0.071 at 68% confidence level.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1656607
Journal Information:
Journal of Cosmology and Astroparticle Physics, Vol. 2020, Issue 06; ISSN 1475-7516
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 76 works
Citation information provided by
Web of Science

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