Galaxy bias from forward models: linear and second-order bias of IllustrisTNG galaxies

Abstract

We use field-level forward models of galaxy clustering and the EFT likelihood formalism to study, for the first time for self-consistently simulated galaxies, the relations between the linear $b_1$ and second-order bias parameters $b_2$ and $b_{K^2}$. The forward models utilize all of the information available in the galaxy distribution up to a given order in perturbation theory, which allows us to infer these bias parameters with high signal-to-noise, even from relatively small volumes ($L_{\mathrm{box}}=205\mathrm{Mpc}/h$). We consider galaxies from the IllustrisTNG simulations, and our main result is that the $b_2(b_1)$ and $b_{K^2}(b_1)$ relations obtained from gravity-only simulations for total mass selected objects are broadly preserved for simulated galaxies selected by stellar mass, star formation rate, color and black hole accretion rate. We also find good agreement between the bias relations of the simulated galaxies and a number of recent estimates for observed galaxy samples. The consistency under different galaxy selection criteria suggests that theoretical priors on these bias relations may be used to improve cosmological constraints based on observed galaxy samples. We do identify some small differences between the bias relations in the hydrodynamical and gravity-only simulations, which we show can be linked to the environmental dependence of the relation between galaxy properties and mass. We also show that the EFT likelihood recovers the value of ${\sigma }_8$ to percent-level from various galaxy samples (including splits by color and star formation rate) and after marginalizing over 8 bias parameters. This demonstration using simulated galaxies adds to previous works based on halos as tracers, and strengthens further the potential of forward models to infer cosmology from galaxy data.

19 pages, 9 figures. Version 2 matches published version and contains a comparison to bias estimates from observations. Comments welcomed!

References in corpus (24)

• The EAGLE project: Simulating the evolution and assembly of galaxies and their environments
• Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
• The imprints of primordial non-gaussianities on large-scale structure: scale dependent bias and abundance of virialized objects
• The Effective Field Theory of Cosmological Large Scale Structures
• Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS
• Gravity and Large-Scale Non-local Bias
• Understanding higher-order nonlocal halo bias at large scales by combining the power spectrum with the bispectrum
• ELUCID - Exploring the Local Universe with reConstructed Initial Density field I: Hamiltonian Markov Chain Monte Carlo Method with Particle Mesh Dynamics
• ELUCID - Exploring the Local Universe with reConstructed Initial Density field III: Constrained Simulation in the SDSS Volume
• Cosmological constraints from BOSS with analytic covariance matrices
• Non-local Lagrangian bias
• Primordial Non-Gaussianity from Biased Tracers: Likelihood Analysis of Real-Space Power Spectrum and Bispectrum
• Cosmological constraints from the power spectrum of eBOSS emission line galaxies
• Testing one-loop galaxy bias: joint analysis of power spectrum and bispectrum
• Modeling Galaxies in Redshift Space at the Field Level
• On the impact of galaxy bias uncertainties on primordial non-Gaussianity constraints
• Bayesian inference of cosmic density fields from non-linear, scale-dependent, and stochastic biased tracers
• An $n$-th order Lagrangian Forward Model for Large-Scale Structure
• Sigma-Eight at the Percent Level: The EFT Likelihood in Real Space
• Impacts of the physical data model on the forward inference of initial conditions from biased tracers
• Cosmological simulation in tides: power spectra and halo shape responses, and shape assembly bias
• Linear and non-linear bias: predictions vs. measurements
• Responses of Halo Occupation Distributions: a new ingredient in the halo model & the impact on galaxy bias
• Quantifying the impact of baryon-CDM perturbations on halo clustering and baryon fraction

Cited by in corpus (36)

• Cosmological constraints from unWISE and Planck CMB lensing tomography
• Constraints on Single-Field Inflation from the BOSS Galaxy Survey
• Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing
• Precision analysis of the redshift-space galaxy bispectrum
• Cosmology with the EFTofLSS and BOSS: dark energy constraints and a note on priors
• ShapeFit: extracting the power spectrum shape information in galaxy surveys beyond BAO and RSD
• How much information can be extracted from galaxy clustering at the field level?
• Predictions for local PNG bias in the galaxy power spectrum and bispectrum and the consequences for $f_{\mathrm{NL}}$ constraints
• Assembly bias in the local PNG halo bias and its implication for $f_{\mathrm{NL}}$ constraints
• Full-shape BOSS constraints on dark matter interacting with dark radiation and lifting the $S_8$ tension
• Priors on red galaxy stochasticity from hybrid effective field theory
• Observational constraints on early dark energy
• Priors on Lagrangian bias parameters from galaxy formation modelling
• Consistency tests of field level inference with the EFT likelihood
• Constraining primordial non-Gaussianity from DESI quasar targets and Planck CMB lensing
• The Effective Field Theory of Large-Scale Structure and Multi-tracer
• Light Fields during Inflation from BOSS and Future Galaxy Surveys
• Euclid preparation. XLI. Galaxy power spectrum modelling in real space
• BAO scale inference from biased tracers using the EFT likelihood
• Fisher matrix for the one-loop galaxy power spectrum: measuring expansion and growth rates without assuming a cosmological model
• Analytical growth functions for cosmic structures in a $\Lambda$CDM Universe
• The Renormalization Group for Large-Scale Structure: Primordial non-Gaussianities
• The halo bias for number counts on the light cone from relativistic N-body simulations
• Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid
• Characterizing the assembly of dark matter halos with protohalo size histories: I. Redshift evolution, relation to descendant halos, and halo assembly bias
• A fully Lagrangian, non-parametric bias model for dark-matter halos
• How do uncertainties in galaxy formation physics impact field-level galaxy bias?
• Calculating the EFT likelihood via saddle-point expansion
• Probabilistic Lagrangian bias estimators and the cumulant bias expansion
• 6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations
• Assembly bias in quadratic bias parameters of dark matter halos from forward modeling
• Cosmology with Persistent Homology: Parameter Inference via Machine Learning
• Mitigation of nonlinear galaxy bias with a theoretical-error likelihood
• Non-parametric Lagrangian biasing from the insights of neural nets
• Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum
• Cosmology with the Redshift-Space Galaxy Bispectrum Monopole at One-Loop Order