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

Valcin, David; Raccanelli, Alvise; Verde, Licia; Villaescusa-Navarro, Francisco

doi:10.1088/1475-7516/2019/12/057

Article
Report number	arXiv:1901.06045 ; CERN-TH-2019-005
Title	BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos
Author(s)	Valcin, David (ICC, Barcelona U.) ; Villaescusa-Navarro, Francisco (Flatiron Inst., New York) ; Verde, Licia (ICC, Barcelona U. ; ICREA, Barcelona) ; Raccanelli, Alvise (ICC, Barcelona U. ; CERN)
Publication	2019-12-18
Imprint	2019-01-17
Number of pages	38
Note	14 figures
In:	JCAP 12 (2019) 057
DOI	10.1088/1475-7516/2019/12/057
Subject category	astro-ph.CO ; Astrophysics and Astronomy
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,$\textbf{BE-HaPPY}$, 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 $\textbf{BE-HaPPY}$ 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.
Copyright/License	preprint: (License: arXiv nonexclusive-distrib 1.0) publication: © 2019-2025 IOP Publishing Ltd and Sissa Medialab

$\textit{Left}: Halo power spectrum for the massless neutrino model for different mass ranges at $z=0$. We show the mean and the standard deviation of the 10 pairs of different realizations. The expected Poissonian shot-noise contribution, $1/n$ is shown with horizontal dashed lines for the different mass bins. \textit{Right}: Halo bias after subtracting the haloes shot-noise from their auto-power spectrum. On small scales the shot-noise becomes sub-Poissonian for the most massive halos. In this work we restrict our analysis to scales where the amplitude of the shot-noise is smaller than 80\% of the total halo power spectrum (i.e., $nP>0.25$, vertical dotted lines).$ $\textit{Left}: Halo power spectrum for the massless neutrino model for different mass ranges at $z=0$. We show the mean and the standard deviation of the 10 pairs of different realizations. The expected Poissonian shot-noise contribution, $1/n$ is shown with horizontal dashed lines for the different mass bins. \textit{Right}: Halo bias after subtracting the haloes shot-noise from their auto-power spectrum. On small scales the shot-noise becomes sub-Poissonian for the most massive halos. In this work we restrict our analysis to scales where the amplitude of the shot-noise is smaller than 80\% of the total halo power spectrum (i.e., $nP>0.25$, vertical dotted lines).$ $The top four panels show the halo bias for the four different mass bins (color lines) at four different redshifts (different panels) for the model with massless neutrinos. The fits for the phenomenological models of Eqs. \ref{plodd} (black solid lines) and \ref{pleven} (black dashed lines) only include $k< k_{\rm lim}$ (excluded scales shown as a grey region). The bottom four panels show the ratio between the halo bias obtained from the simulations and the fit. For clarity we only show the average ratio of the four different mass ranges. (Individual mass bins are shown in appendix \ref{eachmass}, in the fitting range were is not much difference hence justifying showing the mean behaviour). Both models reproduce the halo bias within $\simeq1\%$ in the relevant $k$ range at all redshifts for all mass bins.$ Show more plots

Corresponding record in: Inspire

Back to search

Record created 2019-01-22, last modified 2023-10-26

Similar records

Fulltext:

PDF

Add to personal basket
Export as BibTeX, MARC, MARCXML, DC, EndNote, NLM, RefWorks

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

CERN Accelerating science