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Article Dans Une Revue Monthly Notices of the Royal Astronomical Society Année : 2017

Linear and non-linear bias: predictions versus measurements

Kai Hoffmann
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Julien Bel
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  • IdHAL : julien-bel
Enrique Gaztanaga
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Résumé

We study the linear and non-linear bias parameters which determine the mapping between the distributions of galaxies and the full matter density fields, comparing different measurements and predictions. Associating galaxies with dark matter haloes in the Marenostrum Institut de Ciències de l'Espai (MICE) Grand Challenge N-body simulation, we directly measure the bias parameters by comparing the smoothed density fluctuations of haloes and matter in the same region at different positions as a function of smoothing scale. Alternatively, we measure the bias parameters by matching the probability distributions of halo and matter density fluctuations, which can be applied to observations. These direct bias measurements are compared to corresponding measurements from two-point and different third-order correlations, as well as predictions from the peak-background model, which we presented in previous papers using the same data. We find an overall variation of the linear bias measurements and predictions of ∼5 per cent with respect to results from two-point correlations for different halo samples with masses between ∼10^12and10^15h^−1 M_⊙ at the redshifts z = 0.0 and 0.5. Variations between the second- and third-order bias parameters from the different methods show larger variations, but with consistent trends in mass and redshift. The various bias measurements reveal a tight relation between the linear and the quadratic bias parameters, which is consistent with results from the literature based on simulations with different cosmologies. Such a universal relation might improve constraints on cosmological models, derived from second-order clustering statistics at small scales or higher order clustering statistics.
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Dates et versions

hal-01554028 , version 1 (11-05-2018)

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Kai Hoffmann, Julien Bel, Enrique Gaztanaga. Linear and non-linear bias: predictions versus measurements. Monthly Notices of the Royal Astronomical Society, 2017, 465 (2), pp.2225-2235. ⟨10.1093/mnras/stw2876⟩. ⟨hal-01554028⟩
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