How the Galaxy-Halo Connection Depends on Large-Scale Environment

Abstract

We investigate the connection between galaxies, dark matter halos, and their large-scale environments at $z=0$ with Illustris TNG300 hydrodynamic simulation data. We predict stellar masses from subhalo properties to test two types of machine learning (ML) models: Explainable Boosting Machines (EBMs) with simple galaxy environment features and $\mathbb{E}(3)$-invariant graph neural networks (GNNs). The best-performing EBM models leverage spherically averaged overdensity features on $3$ Mpc scales. Interpretations via SHapley Additive exPlanations (SHAP) also suggest that, in the context of the TNG300 galaxy-halo connection, simple spherical overdensity on $\sim 3$ Mpc scales is more important than cosmic web distance features measured using the DisPerSE algorithm. Meanwhile, a GNN with connectivity defined by a fixed linking length, $L$, outperforms the EBM models by a significant margin. As we increase the linking length scale, GNNs learn important environmental contributions up to the largest scales we probe ($L=10$ Mpc). We conclude that $3$ Mpc distance scales are most critical for describing the TNG galaxy-halo connection using the spherical overdensity parameterization but that information on larger scales, which is not captured by simple environmental parameters or cosmic web features, can further augment these models. Our study highlights the benefits of using interpretable ML algorithms to explain models of astrophysical phenomena, and the power of using GNNs to flexibly learn complex relationships directly from data while imposing constraints from physical symmetries.

21 pages, 9 Figures, ApJ, in press

References in corpus (91)

• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Array Programming with NumPy
• Planck 2015 results. XIII. Cosmological parameters
• The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
• Populating a cluster of galaxies - I. Results at z=0
• Mass and environment as drivers of galaxy evolution in SDSS and zCOSMOS and the origin of the Schechter function
• First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies
• Small-Scale Challenges to the $\Lambda$CDM Paradigm
• Physical Models of Galaxy Formation in a Cosmological Framework
• The Environmental Dependence of the Relations between Stellar Mass, Structure, Star Formation and Nuclear Activity in Galaxies
• Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
• UniverseMachine: The Correlation between Galaxy Growth and Dark Matter Halo Assembly from z=0-10
• Concentrations of Dark Halos from their Assembly Histories
• Constraints on the relationship between stellar mass and halo mass at low and high redshift
• A Semi-Analytic Model for the Co-evolution of Galaxies, Black Holes, and Active Galactic Nuclei
• Analytic model for galaxy and dark matter clustering
• Halo occupation numbers and galaxy bias
• The Dark Side of the Halo Occupation Distribution
• 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
• The Connection between Galaxies and their Dark Matter Halos
• Modeling Luminosity-Dependent Galaxy Clustering Through Cosmic Time
• The merger rate of galaxies in the Illustris Simulation: a comparison with observations and semi-empirical models
• Properties of Galaxy Groups in the SDSS: I.-- The Dependence of Colour, Star Formation, and Morphology on Halo Mass
• The persistent cosmic web and its filamentary structure I: Theory and implementation
• Constraining Galaxy Formation and Cosmology with the Conditional Luminosity Function of Galaxies
• Relationship between environment and the broad-band optical properties of galaxies in the SDSS
• Linking halo mass to galaxy luminosity
• The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation
• Concentration, Spin and Shape of Dark Matter Haloes: Scatter and the Dependence on Mass and Environment
• The Illustris Simulation: Public Data Release
• The Nature of Galaxy Bias and Clustering
• On the environmental dependence of halo formation
• The Skewness of the Aperture Mass Statistic
• The overdensities of galaxy environments as a function of luminosity and color
• The Radial Distribution of Galaxies in LCDM clusters
• Why does the environmental influence on group and cluster galaxies extend beyond the virial radius?
• Dependence of Galaxy Quenching on Halo Mass and Distance from its Centre
• COSMOS2020: The Galaxy Stellar Mass Function: the assembly and star formation cessation of galaxies at $0.2<z\le 7.5$
• Rigging dark halos: why is hierarchical galaxy formation consistent with the inside-out build-up of thin discs?
• Tidal Effects and the Environment Dependence of Halo Assembly
• A Re-examination of Galactic Conformity and a Comparison with Semi-analytic Models of Galaxy Formation
• Swirling around filaments: are large-scale structure vortices spinning up dark halos?
• The Impact of Assembly Bias on the Galaxy Content of Dark Matter Halos
• Beyond Assembly Bias: Exploring Secondary Halo Biases for Cluster-size Haloes
• Beyond Halo Mass: Galactic Conformity as a Smoking Gun of Central Galaxy Assembly Bias
• Environmental Dependence of Cold Dark Matter Halo Formation
• A Quantification of the Butterfly Effect in Cosmological Simulations and Implications for Galaxy Scaling Relations
• The Diversity and Variability of Star Formation Histories in Models of Galaxy Evolution
• Limitations to the "basic'' HOD model and beyond
• Void Statistics in Large Galaxy Redshift Surveys: Does Halo Occupation of Field Galaxies Depend on Environment?
• Revealing the galaxy-halo connection in IllustrisTNG
• Quenching of Satellite Galaxies at the Outskirts of Galaxy Clusters
• The scale-dependence of relative galaxy bias: encouragement for the halo model description
• The Local Theory of the Cosmic Skeleton
• Populations of filaments from the distribution of galaxies in numerical simulations
• The tidal evolution of dark matter substructure -- II. The impact of artificial disruption on subhalo mass functions and radial profiles
• ELUCID IV: Galaxy Quenching and its Relation to Halo Mass, Environment, and Assembly Bias
• Painting galaxies into dark matter halos using machine learning
• On the Physical Origin of Galactic Conformity
• The distinct stellar-to-halo mass relations of satellite and central galaxies: insights from the IllustrisTNG simulations
• Characterising filaments in the SDSS volume from the galaxy distribution
• The ThreeHundred: the structure and properties of cosmic filaments in the outskirts of galaxy clusters
• GalaxyNet: Connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes
• Machine Learning and Cosmological Simulations II: Hydrodynamical Simulations
• Extensions to models of the galaxy-halo connection
• Halo Histories vs. Galaxy Properties at z=0 II: Large-Scale Galactic Conformity
• Mapping stellar content to dark matter halos - III.Environmental dependence and conformity of galaxy colours
• Prediction of galaxy halo masses in SDSS DR7 via a machine learning approach
• Relative distribution of dark matter, gas, and stars around cosmic filaments in the IllustrisTNG simulation
• A machine learning approach to mapping baryons onto dark matter haloes using the EAGLE and C-EAGLE simulations
• Filament profiles from WISExSCOS galaxies as probes of the impact of environmental effects
• The MillenniumTNG Project: An improved two-halo model for the galaxy-halo connection of red and blue galaxies
• Illustrating galaxy-halo connection in the DESI era with IllustrisTNG
• $\text{Mangrove}$: Learning Galaxy Properties from Merger Trees
• ADDGALS: Simulated Sky Catalogs for Wide Field Galaxy Surveys
• Decoupling the rotation of stars and gas -- I: the relationship with morphology and halo spin
• Tidal Tracks and Artificial Disruption of Cold Dark Matter Halos
• The Physical Origin of Galactic Conformity: From Theory to Observation
• On the environmental influence of groups and clusters of galaxies beyond the virial radius: Galactic conformity at few Mpc scales
• Galactic conformity measured in semi-analytic models
• SDSS-IV MaNGA: Signatures of halo assembly in kinematically misaligned galaxies
• Connecting optical morphology, environment, and HI mass fraction for low-redshift galaxies using deep learning
• Star Formation Histories from SEDs and CMDs Agree: Evidence for Synchronized Star Formation in Local Volume Dwarf Galaxies over the Past 3 Gyr
• The Beyond-Halo Mass Effects of the Cosmic Web Environment on Galaxies
• Revealing the Galaxy-Halo Connection Through Machine Learning
• A New Stellar Mass Proxy for Subhalo Abundance Matching
• Inpainting hydrodynamical maps with deep learning
• Searching for Conformity Across Cosmic Time with Local Group and Local Volume Star Formation Histories
• Halo Properties from Observable Measures of Environment: I. Halo and Subhalo Masses

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