Testing one-loop galaxy bias: Power spectrum

Eggemeier, Alexander; Scoccimarro, Román; Crocce, M.; Pezzotta, Andrea; Sánchez, Ariel G.

doi:10.1103/physrevd.102.103530

Cited by 53 publications

(104 citation statements)

References 171 publications

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“…[59] surveys, as it is tailored to DES. The consistency of our conclusions with Eggemeier et al [35] suggests that a twoparameter model may have wide applicability, particularly for surveys with different galaxy selections. This would be an extremely useful result and is worth investigating in detail for the next generation of surveys.…”

Section: E Comparison With Other Studies In Literaturesupporting

confidence: 88%

“…Bella et al [33] and Werner and Porciani [34] probe this question on the minimum number of bias parameters but again focus on dark matter halos as the biased tracers. Recently Eggemeier et al [35] have conducted a study similar to ours in Fourier space using three different galaxy samples (mock SDSS and BOSS catalogs) and four halo samples. For a most general case, they find that a four-parameter model (linear, quadratic, cubic nonlocal bias, and constant shot noise with fixed quadratic tidal bias) can describe correlations between galaxies and matter catalogs, with the inclusion of scale-dependent noise from halo exclusion being particularly beneficial for the combination of auto-and cross-spectra.…”

Section: E Comparison With Other Studies In Literaturementioning

confidence: 84%

“…There have been multiple studies in the literature probing the validity of PT models using simulations [31][32][33][34][35]. Most of these studies have focused on Fourier space rather than configuration space.…”

Section: E Comparison With Other Studies In Literaturementioning

confidence: 99%

“…Several studies have tested the perturbation theory (PT) of biased tracers in Fourier space (mostly focused on redshift surveys) [31][32][33][34][35]. This study focuses on PT in configuration space using standard perturbation theory (SPT) and effective field theory (EFT).…”

Section: Introductionmentioning

confidence: 99%

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Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey

Pandey¹,

Krause²,

Jain³

et al. 2020

Phys. Rev. D

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We describe perturbation theory (PT) models of galaxy bias for applications to photometric galaxy surveys. We model the galaxy-galaxy and galaxy-matter correlation functions in configuration space and validate against measurements from mock catalogs designed for the Dark Energy Survey (DES). We find that an effective PT model with five galaxy bias parameters provides a good description of the 3D correlation functions above scales of 4 Mpc=h and z < 1. Our tests show that at the projected precision of the DES Year 3 analysis, two of the nonlinear bias parameters can be fixed to their coevolution values, and a third (the k 2 term for higher derivative bias) set to zero. The agreement is typically at the 2% level over scales of interest, which is the statistical uncertainty of our simulation measurements. To achieve this level of agreement, our fiducial model requires using the full nonlinear matter power spectrum (rather than the one-loop PT one). We also measure the relationship between the nonlinear and linear bias parameters and compare them to their expected coevolution values. We use these tests to motivate the galaxy bias model and scale cuts for the cosmological analysis of the Dark Energy Survey; our conclusions are generally applicable to all photometric surveys.

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Section: E Comparison With Other Studies In Literaturesupporting

confidence: 88%

Section: E Comparison With Other Studies In Literaturementioning

confidence: 84%

Section: E Comparison With Other Studies In Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey

Pandey¹,

Krause²,

Jain³

et al. 2020

Phys. Rev. D

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show abstract

“…These studies have shown that the coevolution relations generally provide a good description of the measurements, although deviations have been reported in particular for the tidal bias parameter. Due to parameter space degeneracies this is likely not a concern for analyses of the power spectrum alone [62], but in combination with the bispectrum, which is affected by tidal bias even on large scales, application of the coevolution relation can lead to significant errors.…”

Section: Introductionmentioning

confidence: 99%

Testing one-loop galaxy bias: Joint analysis of power spectrum and bispectrum

et al. 2021

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We present a joint likelihood analysis of the real-space power spectrum and bispectrum measured from a variety of halo and galaxy mock catalogs. A novel aspect of this work is the inclusion of nonlinear triangle configurations for the bispectrum, made possible by a complete next-to-leading order ("one-loop") description of galaxy bias, as is already common practice for the power spectrum. Based on the goodness of fit and the unbiasedness of the parameter posteriors, we accomplish a stringent validation of this model compared to the leading order ("tree-level") bispectrum. Using measurement uncertainties that correspond to an effective survey volume of 6 ðGpc=hÞ 3 , we determine that the one-loop corrections roughly double the applicable range of scales, from ∼0.17 h=Mpc (tree level) to ∼0.3 h=Mpc. This converts into a 1.5-2x improvement on constraints of the linear bias parameter at fixed cosmology, and a 1.5-2.4x shrinkage of uncertainties on the amplitude of fluctuations A s , which clearly demonstrates the benefit of extracting information from nonlinear scales despite having to marginalize over a larger number of bias parameters. Besides, our precise measurements of galaxy bias parameters up to fourth order allow for thorough comparisons to coevolution relations, showing excellent agreement for all contributions generated by the nonlocal action of gravity. Using these relations in the likelihood analysis does not compromise the model validity and is crucial for obtaining the quoted improvements on A s . We also analyzed the impact of higherderivative and scale-dependent stochastic terms, finding that for a subset of our tracers the former can boost the performance of the tree-level model with constraints on A s that are only slightly degraded compared to the one-loop model.

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Updated neutrino mass constraints from galaxy clustering and CMB lensing-galaxy cross-correlation measurements

Tanseri¹,

Hagstotz²,

Vagnozzi³

et al. 2022

Journal of High Energy Astrophysics

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Testing one-loop galaxy bias: Power spectrum

Abstract: We scale the peculiar matter velocity field u by the growth rate and conformal Hubble rate, such that v ≡ −u/(f H). The corresponding scaled velocity potential is defined by ∇ 2 Φv ≡ θ ≡ ∇ • v.

Cited by 53 publications

References 171 publications

Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey

Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey

Testing one-loop galaxy bias: Joint analysis of power spectrum and bispectrum

Updated neutrino mass constraints from galaxy clustering and CMB lensing-galaxy cross-correlation measurements

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