BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos

Abstract

We study the clustering properties of dark matter halos in real- and redshift-space in cosmologies with massless and massive neutrinos through a large set of state-of-the-art N-body simulations. We provide quick and easy-to-use prescriptions for the halo bias on linear and mildly non-linear scales, both in real and redshift space, which are valid also for massive neutrinos cosmologies. Finally we present a halo bias emulator,$\text{BE-HaPPY}$, calibrated on the N-body simulations, which is fast enough to be used in the standard Markov Chain Monte Carlo approach to cosmological inference. For a fiducial standard $\Lambda$CDM cosmology $\text{BE-HaPPY}$ provides percent or sub-percent accuracy on the scales of interest (linear and well into the mildly non-linear regime), meeting therefore for the halo-bias the accuracy requirements for the analysis of next-generation large--scale structure surveys.

23 pages, (33 with references and appendices), 14 figures. Changes to match accepted version by JCAP

References in corpus (10)

• Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS
• The Scale Dependence of Halo and Galaxy Bias: Effects in Real Space
• Understanding higher-order nonlocal halo bias at large scales by combining the power spectrum with the bispectrum
• Nonlinear Perturbation Theory Integrated with Nonlocal Bias, Redshift-space Distortions, and Primordial Non-Gaussianity
• Halo bias in mixed dark matter cosmologies
• Simulations of Baryon Oscillations
• FAST-PT II: an algorithm to calculate convolution integrals of general tensor quantities in cosmological perturbation theory
• Bias due to neutrinos must not uncorrect'd go
• Perturbation theory approach for the power spectrum: from dark matter in real space to massive haloes in redshift space
• Non-local halo bias with and without massive neutrinos

Cited by in corpus (14)

• Large-scale dark matter simulations
• Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
• The galaxy power spectrum take on spatial curvature and cosmic concordance
• Cosmological direct detection of dark energy: non-linear structure formation signatures of dark energy scattering with visible matter
• Including beyond-linear halo bias in halo models
• Beware of commonly used approximations I: errors in forecasts
• Neutrino Properties with Ground-Based Millimeter-Wavelength Line Intensity Mapping
• Weighing neutrinos with the halo environment
• An Analytic Hybrid Halo + Perturbation Theory Model for Small-scale Correlators: Baryons, Halos, and Galaxies
• Improving initialization and evolution accuracy of cosmological neutrino simulations
• Parameter inference with non-linear galaxy clustering: accounting for theoretical uncertainties
• Design and optimization of neural networks for multifidelity cosmological emulation
• Ten-dimensional neural network emulator for the nonlinear matter power spectrum
• Improving cosmological covariance matrices with machine learning