Environmental Effects on Real-Space and Redshift-Space Galaxy Clustering
arXiv:0712.3570 · doi:10.1086/591071
Abstract
Galaxy formation inside dark matter halos, as well as the halo formation itself, can be affected by large-scale environments. Evaluating the imprints of environmental effects on galaxy clustering is crucial for precise cosmological constraints with data from galaxy redshift surveys. We investigate such an environmental impact on both real-space and redshift-space galaxy clustering statistics using a semi-analytic model derived from the Millennium Simulation. We compare clustering statistics from original SAM galaxy samples and shuffled ones with environmental influence on galaxy properties eliminated. Among the luminosity-threshold samples examined, the one with the lowest threshold luminosity (~0.2L_*) is affected by environmental effects the most, which has a ~10% decrease in the real-space two-point correlation function (2PCF) after shuffling. By decomposing the 2PCF into five different components based on the source of pairs, we show that the change in the 2PCF can be explained by the age and richness dependence of halo clustering. The 2PCFs in redshift space are found to change in a similar manner after shuffling. If the environmental effects are neglected, halo occupation distribution modeling of the real-space and redshift-space clustering may have a less than 6.5% systematic uncertainty in constraining beta from the most affected SAM sample and have substantially smaller uncertainties from the other, more luminous samples. We argue that the effect could be even smaller in reality. In the Appendix, we present a method to decompose the 2PCF, which can be applied to measure the two-point auto-correlation functions of galaxy sub-samples in a volume-limited galaxy sample and their two-point cross-correlation functions in a single run utilizing only one random catalog.
13 pages, 6 figures, Accepted by APJ
References in corpus (45)
- The Sloan Digital Sky Survey: Technical Summary
- The cosmological simulation code GADGET-2
- The many lives of active galactic nuclei: cooling flows, black holes and the luminosities and colours of galaxies
- The 2dF Galaxy Redshift Survey: Spectra and redshifts
- Halo Models of Large Scale Structure
- GADGET: A code for collisionless and gasdynamical cosmological simulations
- The hierarchical formation of the brightest cluster galaxies
- An analytic model for the spatial clustering of dark matter haloes
- Concentrations of Dark Halos from their Assembly Histories
- Analytic model for galaxy and dark matter clustering
- The formation history of elliptical galaxies
- Halo occupation numbers and galaxy bias
- The Halo Occupation Distribution: Towards an Empirical Determination of the Relation Between Galaxies and Mass
- Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies
- The Luminosity and Color Dependence of the Galaxy Correlation Function
- The age dependence of halo clustering
- The subhalo populations of LCDM dark haloes
- How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering
- Constraining Galaxy Formation and Cosmology with the Conditional Luminosity Function of Galaxies
- Galaxy Evolution from Halo Occupation Distribution Modeling of DEEP2 and SDSS Galaxy Clustering
- The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation
- Spatial correlation function and pairwise velocity dispersion of galaxies: CDM models versus the Las Campanas Survey
- The Growth and Structure of Dark Matter Haloes
- Assembly bias in the clustering of dark matter haloes
- Halo assembly bias and its effects on galaxy clustering
- The Excursion Set Theory of Halo Mass Functions, Halo Clustering, and Halo Growth
- Properties of Galaxy Groups in the SDSS: II.- AGN Feedback and Star Formation Truncation
- The dependence of dark halo clustering on the formation epoch and the concentration parameter
- What aspects of galaxy environment matter?
- The Luminosity-Weighted or `Marked' Correlation Function
- Towards Cosmological Concordance on Galactic Scales
- Constraints onOmega from the IRAS Redshift Surveys
- Environmental Dependence of Cold Dark Matter Halo Formation
- The Clustering of Massive Halos
- Redshift-Space Distortions with the Halo Occupation Distribution II: Analytic Model
- Breaking the Degeneracies Between Cosmology and Galaxy Bias
- Interpreting the Observed Clustering of Red Galaxies at z~3
- Cosmology and the Halo Occupation Distribution from Small-Scale Galaxy Clustering in the Sloan Digital Sky Survey
- The Dependence of the Occupation of Galaxies on the Halo Formation Time
- Redshift-Space Distortions with the Halo Occupation Distribution I: Numerical Simulations
- Observational Evidence for an Age Dependence of Halo Bias
- From Galaxy-Galaxy Lensing to Cosmological Parameters
- Why does the clustering of haloes depend on their formation history
- Reionization constraints from five-year WMAP data
- Halo Assembly Bias in the Quasi-linear Regime
Cited by in corpus (39)
- Galaxy Clustering in the Completed SDSS Redshift Survey: The Dependence on Color and Luminosity
- Scaling relations for galaxy clusters in the Millennium-XXL simulation
- Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS
- Mapping stellar content to dark matter halos using galaxy clustering and galaxy-galaxy lensing in the SDSS DR7
- A Halo Model of Galaxy Colors and Clustering in the SDSS
- Subhalo abundance matching and assembly bias in the EAGLE simulation
- The Impact of Assembly Bias on the Galaxy Content of Dark Matter Halos
- Mapping stellar content to dark matter halos. II. Halo mass is the main driver of galaxy quenching
- A New Method to Correct for Fiber Collisions in Galaxy Two-Point Statistics
- The impact of assembly bias on the halo occupation in hydrodynamical simulations
- On the Level of Cluster Assembly Bias in SDSS
- Modelling galaxy clustering: halo occupation distribution versus subhalo matching
- The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: the low redshift sample
- The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modeling of the luminosity and colour dependence in the Data Release 10
- Radiative Transfer Modeling of Lyman Alpha Emitters. II. New Effects in Galaxy Clustering
- Dissecting and Modelling Galaxy Assembly Bias
- The Evolution of Assembly Bias
- Galaxy Infall Kinematics as a Test of Modified Gravity
- Accurate and Efficient Halo-based Galaxy Clustering Modelling with Simulations
- Mapping stellar content to dark matter halos - III.Environmental dependence and conformity of galaxy colours
- Cosmic web dependence of galaxy clustering and quenching in SDSS
- Elucidating Galaxy Assembly Bias in SDSS
- Galaxy power spectrum in redshift space: combining perturbation theory with the halo model
- Galaxy assembly bias of central galaxies in the Illustris simulation
- Extensions to the halo occupation distribution model for more accurate clustering predictions
- Revealing the cosmic web dependent halo bias
- On the prospect of using the maximum circular velocity of halos to encapsulate assembly bias in the galaxy-halo connection
- The effects of halo alignment and shape on the clustering of galaxies
- On the scatter in the relation between stellar mass and halo mass: random or halo formation time dependent?
- The Effects of Galaxy Assembly Bias on the Inference of Growth Rate from Redshift-Space Distortions
- The Spitzer South Pole Telescope Deep Field Survey: Linking galaxies and halos at z=1.5
- On the Clustering of Faint Red Galaxies
- The Effect of Assembly Bias on Redshift Space Distortions
- Temporal offsets among Solar activity indicators
- Exploiting Non-linear Scales in Galaxy-Galaxy Lensing and Galaxy Clustering: A Forecast for the Dark Energy Survey
- One Galaxy Sample to Rule Them All: Halo Occupation Distribution Modeling of DES Year 3 Source Galaxies
- Galaxy assembly bias in cosmological hydrodynamical simulations: a comparison between SIMBA and IllustrisTNG
- Predicting halo occupation and galaxy assembly bias with machine learning
- A redshift distortion free correlation function at third order in the nonlinear regime