Extensions to models of the galaxy-halo connection

Abstract

We explore two widely used empirical models for the galaxy-halo connection, subhalo abundance matching (SHAM) and the halo occupation distribution (HOD) and compare their predictions with the hydrodynamical simulation IllustrisTNG (TNG) for a range of statistics that quantify the galaxy distribution at $n_{\mathrm{gal}}\approx 1.3\times 10^{-3}[\mathrm{Mpc}/h{]}^{-3}$. We observe that in their most straightforward implementations, both models fail to reproduce the two-point clustering measured in TNG. We find that SHAM models constructed using the relaxation velocity, $V_{\mathrm{relax}}$, and the peak velocity, $V_{\mathrm{peak}}$, perform best, and match the clustering reasonably well, although neither model captures adequately the one-halo clustering. Splitting the total sample into sub-populations, we discover that SHAM overpredicts the clustering of high-mass, blue, star-forming, and late-forming galaxies and uderpredicts that of low-mass, red, quiescent, and early-forming galaxies. We also study various baryonic effects, finding that subhalos in the dark-mater-only simulation have consistently higher values of their SHAM-proxy properties than their full-physics counterparts. We then consider a two-dimensional implementation of the HOD model augmented with a secondary parameter (environment, velocity anisotropy, ${\sigma }^2{R}_{\mathrm{halfmass}}$, and total potential) and tuned so as to match the two-point clustering of the IllustrisTNG galaxies on large scales. We analyze these galaxy populations adopting alternative statistical tools such as galaxy-galaxy lensing, void-galaxy cross-correlations and cumulants of the smoothed density field, finding that the hydrodynamical galaxy distribution disfavors ${\sigma }^2{R}_{\mathrm{halfmass}}$ and the total potential as secondary parameters, while the environment and velocity anisotropy samples are consistent with full-physics across all statistical probes examined.

arXiv comment17 pages, 11 figures

References in corpus (76)

• Planck 2015 results. XIII. Cosmological parameters
• The Sloan Digital Sky Survey: Technical Summary
• The EAGLE project: Simulating the evolution and assembly of galaxies and their environments
• Populating a cluster of galaxies - I. Results at z=0
• E pur si muove: Galiliean-invariant cosmological hydrodynamical simulations on a moving mesh
• Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
• First results from the IllustrisTNG simulations: matter and galaxy clustering
• First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies
• First results from the IllustrisTNG simulations: the galaxy color bimodality
• An analytic model for the spatial clustering of dark matter haloes
• First results from the IllustrisTNG simulations: A tale of two elements -- chemical evolution of magnesium and europium
• Analytic model for galaxy and dark matter clustering
• First results from the IllustrisTNG simulations: radio haloes and magnetic fields
• Cosmology and Fundamental Physics with the Euclid Satellite
• First Results from the TNG50 Simulation: Galactic outflows driven by supernovae and black hole feedback
• A Comprehensive Analysis of Uncertainties Affecting the Stellar Mass - Halo Mass Relation for 0<z<4
• Halo occupation numbers and galaxy bias
• The Halo Occupation Distribution: Towards an Empirical Determination of the Relation Between Galaxies and Mass
• First Results from the TNG50 Simulation: The evolution of stellar and gaseous disks across cosmic time
• Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies
• Large-Scale Galaxy Bias
• The Connection between Galaxies and their Dark Matter Halos
• Modeling Luminosity-Dependent Galaxy Clustering Through Cosmic Time
• The age dependence of halo clustering
• How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering
• Haloes gone MAD: The Halo-Finder Comparison Project
• The DESI Experiment, a whitepaper for Snowmass 2013
• Halo assembly bias and its effects on galaxy clustering
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release
• Cosmological parameter constraints from galaxy-galaxy lensing and galaxy clustering with the SDSS DR7
• SDSS galaxy bias from halo mass-bias relation and its cosmological implications
• Introducing Decorated HODs: modeling assembly bias in the galaxy-halo connection
• Combining cluster observables and stacked weak lensing to probe dark energy: Self-calibration of systematic uncertainties
• Subhalo abundance matching and assembly bias in the EAGLE simulation
• The overdensity and masses of the friends-of-friends halos and universality of the halo mass function
• Understanding the shape of the halo-mass and galaxy-mass cross-correlation functions
• Density profile of dark matter haloes and galaxies in the Horizon-AGN simulation: the impact of AGN feedback
• The Impact of Assembly Bias on the Galaxy Content of Dark Matter Halos
• An algorithm for the direct reconstruction of the dark matter correlation function from weak lensing and galaxy clustering
• Environmental Dependence of Dark Matter Halo Growth I: Halo Merger Rates
• The Concentration Dependence of the Galaxy-Halo Connection: Modeling Assembly Bias with Abundance Matching
• The Aemulus Project III: Emulation of the Galaxy Correlation Function
• Massive Neutrinos Leave Fingerprints on Cosmic Voids
• Assembly bias and the dynamical structure of dark matter halos
• Beyond BAO: improving cosmological constraints from BOSS with measurement of the void-galaxy cross-correlation
• The clustering of galaxies at z~0.5 in the SDSS-III Data Release 9 BOSS-CMASS sample: a test for the LCDM cosmology
• The impact of assembly bias on the halo occupation in hydrodynamical simulations
• High-order galaxy correlation functions in the APM Galaxy Survey
• Modelling galaxy clustering: halo occupation distribution versus subhalo matching
• Limitations to the "basic'' HOD model and beyond
• The Dynamical State and Mass-Concentration Relation of Galaxy Clusters
• The impact of baryonic physics on the subhalo mass function and implications for gravitational lensing
• Dark Matter Halo Growth II: Diffuse Accretion and its Environmental Dependence
• The assembly bias of dark matter haloes to higher orders
• Revealing the galaxy-halo connection in IllustrisTNG
• The Structure of Halos: Implications for Group and Cluster Cosmology
• Constraints on Assembly Bias from Galaxy Clustering
• The Three Causes of Low-Mass Assembly Bias
• Cosmic web anisotropy is the primary indicator of halo assembly bias
• Correlating galaxy colour and halo concentration: A tunable Halo Model of galactic conformity
• A flexible modelling of galaxy assembly bias
• Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
• Testing Subhalo Abundance Matching in Cosmological Smoothed Particle Hydrodynamics Simulations
• Strong clustering of underdense regions and the environmental dependence of clustering from Gaussian initial conditions
• Exploring the squeezed three-point galaxy correlation function with generalized halo occupation distribution models
• The effects of assembly bias on cosmological inference from galaxy-galaxy lensing and galaxy clusters
• Cosmological Constraints from Galaxy Clustering and the Mass-to-Number Ratio of Galaxy Clusters: Marginalizing over the Physics of Galaxy Formation
• How are galaxies assigned to halos? Searching for assembly bias in the SDSS galaxy clustering
• Testing the Accuracy of Halo Occupation Distribution Modelling using Hydrodynamic Simulations
• Cosmological exploitation of cosmic void statistics - New numerical tools in the CosmoBolognaLib to extract cosmological constraints from the void size function
• Dependence of halo bias on mass and environment
• Galaxy assembly bias of central galaxies in the Illustris simulation
• How to Optimally Constrain Galaxy Assembly Bias: Supplement Projected Correlation Functions with Count-in-cells Statistics
• What determines large scale galaxy clustering: halo mass or local density?
• The dependence of galaxy clustering on tidal environment in the Sloan Digital Sky Survey
• Cosmological Constraints from applying SHAM to rescaled cosmological simulations

Cited by in corpus (42)

• Large-scale dark matter simulations
• Full-shape cosmology analysis of SDSS-III BOSS galaxy power spectrum using emulator-based halo model: a $5\%$ determination of ${\sigma }_8$
• Dissecting and Modelling Galaxy Assembly Bias
• Evidence for galaxy assembly bias in BOSS CMASS redshift-space galaxy correlation function
• The galaxy-halo connection of emission-line galaxies in IllustrisTNG
• On the influence of halo mass accretion history on galaxy properties and assembly bias
• The MillenniumTNG Project: An improved two-halo model for the galaxy-halo connection of red and blue galaxies
• The MillenniumTNG Project: Refining the one-halo model of red and blue galaxies at different redshifts
• The Signatures of Self-Interacting Dark Matter and Subhalo Disruption on Cluster Substructure
• The scatter in the galaxy-halo connection: a machine learning analysis
• The MillenniumTNG Project: Inferring cosmology from galaxy clustering with accelerated N-body scaling and subhalo abundance matching
• Cosmological inference from emulator based halo model I: Validation tests with HSC and SDSS mock catalogs
• The impact of baryonic physics on the abundance, clustering, and concentration of halos
• Responses of Halo Occupation Distributions: a new ingredient in the halo model & the impact on galaxy bias
• SHAM through the lens of a hydrodynamical simulation
• Construct the emission line galaxy-host halo connection through auto and cross correlations
• Consistent and simultaneous modelling of galaxy clustering and galaxy-galaxy lensing with Subhalo Abundance Matching
• Multi-Epoch Machine Learning 1: Unravelling Nature vs Nurture for Galaxy Formation
• Joint galaxy-galaxy lensing and clustering constraints on galaxy formation
• Modeling assembly bias with machine learning and symbolic regression
• How the Galaxy-Halo Connection Depends on Large-Scale Environment
• High-fidelity reproduction of central galaxy joint distributions with Neural Networks
• Toward Accurate Modeling of Galaxy Clustering on Small Scales: Constraining the Galaxy-Halo Connection with Optimal Statistics
• Toward Accurate Modeling of Galaxy Clustering on Small Scales: Halo Model Extensions and Lingering Tension
• Validating the clustering predictions of empirical models with the FLAMINGO simulations
• Galaxy assembly bias in the stellar-to-halo mass relation for red central galaxies from SDSS
• Constraining galaxy-halo connection with high-order statistics
• New insight into the variability of the Be star $\pi$ Aquarii: Determination of stellar and disk parameters
• Exploring the physical origins of halo assembly bias from early times
• The effect of finite halo size on the clustering of neutral hydrogen
• Satellite galaxy abundance dependency on cosmology in Magneticum simulations
• Why do semi-analytic models predict higher scatter in the stellar mass-halo mass relation than cosmological hydrodynamic simulations?
• On the Constraints of Galaxy Assembly Bias in Velocity Space
• Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model
• Conditional Colour-Magnitude Distribution of Central Galaxies in Galaxy Formation Models
• A fully Lagrangian, non-parametric bias model for dark-matter halos
• Dark from light (DfL): Inferring halo properties from luminous tracers with machine learning trained on cosmological simulations. I. Method, proof of concept & preliminary testing
• ELG$\times$LRG distribution through dark matter halo dynamics
• Exploring the halo-galaxy connection with probabilistic approaches
• Non-parametric Lagrangian biasing from the insights of neural nets
• Predicting halo occupation and galaxy assembly bias with machine learning
• Mimicking the halo-galaxy connection using machine learning