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  Unbiased cosmology inference from biased tracers using the EFT likelihood

Schmidt, F., Cabass, G., Jasche, J., & Lavaux, G. (2020). Unbiased cosmology inference from biased tracers using the EFT likelihood. Journal of Cosmology and Astroparticle Physics, 2020(11): 008. doi:10.1088/1475-7516/2020/11/008.

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Schmidt, Fabian1, Author           
Cabass, Giovanni2, Author           
Jasche, Jens, Author
Lavaux, Guilhem, Author
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1High Energy Astrophysics, MPI for Astrophysics, Max Planck Society, ou_159881              
2Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              

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 Abstract: We present updates on the cosmology inference using the effective field theory (EFT) likelihood presented previously in Schmidt et al., 2018, Elsner et al., 2019 \cite{paperI,paperII}. Specifically, we add a cutoff to the initial conditions that serve as starting point for the matter forward model. We show that this cutoff, which was not employed in any previous related work, is important to regularize loop integrals that otherwise involve small-scale, non-perturbative modes. We then present results on the inferred value of the linear power spectrum normalization σ8 from rest-frame halo catalogs using both second- and third-order bias expansions, imposing uniform priors on all bias parameters. Due to the perfect bias- σ8 degeneracy at linear order, constraints on σ8 rely entirely on nonlinear information. The results show the expected convergence behavior when lowering the cutoff in wavenumber, L. When including modes up to k ≤ Λ = 0.1 h Mpc−1 in the second-order case, σ8 is recovered to within ≲ 6% for a range of halo masses and redshifts. The systematic bias shrinks to 4% or less for the third-order bias expansion on the same range of scales. Together with additional evidence we provide, this shows that the residual mismatch in σ8 can be attributed to higher-order bias contributions. We conclude that the EFT likelihood is able to infer unbiased cosmological constraints, within expected theoretical systematic errors, from physical biased tracers on quasilinear scales.

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Language(s): eng - English
 Dates: 2020-11-05
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1475-7516/2020/11/008
Other: LOCALID: 3281012
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Title: Journal of Cosmology and Astroparticle Physics
  Abbreviation : J. Cosmol. Astropart. Phys.
  Abbreviation : JCAP
Source Genre: Journal
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Pages: - Volume / Issue: 2020 (11) Sequence Number: 008 Start / End Page: - Identifier: ISSN: 1475-7516