Priors on Lagrangian bias parameters from galaxy formation modelling

Abstract

We study the relations among the parameters of the hybrid Lagrangian bias expansion model, fitting biased auto and cross power spectra up to $k_{\max }=0.7h{\mathrm{Mpc}}^{-1}$. We consider $\sim 8000$ halo and galaxy samples, with different halo masses, redshifts, galaxy number densities, and varying the parameters of the galaxy formation model. Galaxy samples are obtained through state-of-the-art extended subhalo abundance matching techniques and include both stellar-mass and star-formation-rate selected galaxies. All of these synthetic galaxies samples are publicly available at https://bacco.dipc.org/galpk.html. We find that the hybrid Lagrangian bias model provides accurate fits to all of our halo and galaxy samples. The coevolution relations between galaxy bias parameters, although roughly compatible with those obtained for haloes, show systematic shifts and larger scatter. We explore possible sources of this difference in terms of dependence on halo occupation and assembly bias of each sample. The bias parameter relations displayed in this work can be used as a prior for future Bayesian analyses employing the hybrid Lagrangian bias expansion model.

14 pages, 12 figures, galaxy power spectra available at https://bacco.dipc.org/galpk.html

References in corpus (21)

• 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
• Simba: Cosmological Simulations with Black Hole Growth and Feedback
• Resumming Cosmological Perturbations via the Lagrangian Picture: One-loop Results in Real Space and in Redshift Space
• Cosmology with the SPHEREX All-Sky Spectral Survey
• Consistent Modeling of Velocity Statistics and Redshift-Space Distortions in One-Loop Perturbation Theory
• The Gaussian streaming model and Lagrangian effective field theory
• Non-local Lagrangian bias
• Building disc structure and galaxy properties through angular momentum: The DARK SAGE semi-analytic model
• The assembly bias of dark matter haloes to higher orders
• The cosmology dependence of galaxy clustering and lensing from a hybrid $N$-body-perturbation theory model
• Simulations and symmetries
• FAST-PT II: an algorithm to calculate convolution integrals of general tensor quantities in cosmological perturbation theory
• Cosmological constraints from the power spectrum of eBOSS emission line galaxies
• Testing one-loop galaxy bias: joint analysis of power spectrum and bispectrum
• A flexible subhalo abundance matching model for galaxy clustering in redshift space
• Galaxy bias from forward models: linear and second-order bias of IllustrisTNG galaxies
• The BACCO simulation project: biased tracers in real space
• Hefty enhancement of cosmological constraints from the DES Y1 data using a Hybrid Effective Field Theory approach to galaxy bias
• Non-universality of the mass function: dependence on the growth rate and power spectrum shape
• Testing one-loop galaxy bias: cosmological constraints from the power spectrum

Cited by in corpus (23)

• Cosmological constraints from unWISE and Planck CMB lensing tomography
• Cosmology with the EFTofLSS and BOSS: dark energy constraints and a note on priors
• Cosmological parameters from the likelihood analysis of the galaxy power spectrum and bispectrum in real space
• The BACCO simulation project: biased tracers in real space
• The Bacco Simulation Project: Bacco Hybrid Lagrangian Bias Expansion Model in Redshift Space
• Priors on red galaxy stochasticity from hybrid effective field theory
• Accurate predictions from small boxes: variance suppression via the Zel'dovich approximation
• A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
• Cosmological constraints from the cross-correlation of DESI Luminous Red Galaxies with CMB lensing from Planck PR4 and ACT DR6
• Consistent and simultaneous modelling of galaxy clustering and galaxy-galaxy lensing with Subhalo Abundance Matching
• HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments
• Statistics of biased tracers in variance-suppressed simulations
• Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid
• Validating galaxy clustering models with Fixed & Paired and Matched-ICs simulations: application to Primordial Non-Gaussianities
• CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
• Probabilistic Estimators of Lagrangian Shape Biases: Universal Relations and Physical Insights
• A 1% accurate method to include baryonic effects in galaxy-galaxy lensing models
• How do uncertainties in galaxy formation physics impact field-level galaxy bias?
• Probabilistic Lagrangian bias estimators and the cumulant bias expansion
• Simulation budgeting for hybrid effective field theories
• Mitigation of nonlinear galaxy bias with a theoretical-error likelihood
• Clustering redshifts with the 21cm-galaxy cross-bispectrum
• Segmenting proto-halos with vision transformers