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E pur si muove: Galilean-invariant cosmological hydrodynamical simulations on a moving mesh
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January 2010 |
The Coma/A1367 supercluster and its environs
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June 1978 |
The dynamical state and mass–concentration relation of galaxy clusters: The concentrations of massive galaxy clusters
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November 2012 |
Numerical simulations of the dark universe: State of the art and the next decade
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November 2012 |
The effects of assembly bias on the inference of matter clustering from galaxy–galaxy lensing and galaxy clustering
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April 2018 |
Analytic model for galaxy and dark matter clustering
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October 2000 |
Satellite Dwarf Galaxies in a Hierarchical Universe: Infall Histories, Group Preprocessing, and Reionization
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June 2015 |
The IllustrisTNG simulations: public data release
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May 2019 |
Cosmological exploitation of cosmic void statistics: New numerical tools in the CosmoBolognaLib to extract cosmological constraints from the void size function⋆
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October 2017 |
First results from the TNG50 simulation: the evolution of stellar and gaseous discs across cosmic time
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September 2019 |
Testing subhalo abundance matching in cosmological smoothed particle hydrodynamics simulations: Testing SHAM in SPH simulations
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May 2012 |
The clustering of galaxies at z ≈ 0.5 in the SDSS-III Data Release 9 BOSS-CMASS sample: a test for the ΛCDM cosmology
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April 2013 |
How Are Galaxies Assigned to Halos? Searching for Assembly Bias in the SDSS Galaxy Clustering
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February 2019 |
The assembly bias of dark matter haloes to higher orders
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June 2008 |
Environmental dependence of dark matter halo growth - I. Halo merger rates
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April 2009 |
An analytic model for the spatial clustering of dark matter haloes
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September 1996 |
Cosmology and fundamental physics with the Euclid satellite
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April 2018 |
Galaxy assembly bias of central galaxies in the Illustris simulation
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January 2020 |
The Overdensity and Masses of the Friends-Of-Friends Halos and Universality of halo mass Function
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June 2011 |
Core condensation in heavy halos: a two-stage theory for galaxy formation and clustering
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July 1978 |
Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
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June 2015 |
Exploring the squeezed three-point galaxy correlation function with generalized halo occupation distribution models
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April 2018 |
The Connection Between Galaxies and Their Dark Matter Halos
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September 2018 |
Large-scale galaxy bias
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February 2018 |
Assembly bias and the Dynamical Structure of dark Matter Halos
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December 2009 |
First results from the IllustrisTNG simulations: the galaxy colour bimodality
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November 2017 |
How to optimally constrain galaxy assembly bias: supplement projected correlation functions with count-in-cells statistics
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June 2019 |
Revealing the galaxy–halo connection in IllustrisTNG
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September 2019 |
The impact of baryonic physics on the subhalo mass function and implications for gravitational lensing
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April 2017 |
Planck 2015 results : XIII. Cosmological parameters
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September 2016 |
Formation of galaxies and large-scale structure with cold dark matter
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October 1984 |
Dependence of halo bias on mass and environment
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September 2017 |
The age dependence of halo clustering
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October 2005 |
First results from the IllustrisTNG simulations: a tale of two elements – chemical evolution of magnesium and europium
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March 2018 |
Cosmic web anisotropy is the primary indicator of halo assembly bias
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August 2019 |
Cosmological simulations of galaxy formation
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January 2020 |
Subhalo abundance matching and assembly bias in the EAGLE simulation
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May 2016 |
What determines large scale galaxy clustering: halo mass or local density?
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February 2017 |
Dark matter halo growth - II. Diffuse accretion and its environmental dependence
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February 2010 |
Beyond BAO: Improving cosmological constraints from BOSS data with measurement of the void-galaxy cross-correlation
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July 2019 |
Combining cluster observables and stacked weak lensing to probe dark energy: Self-calibration of systematic uncertainties
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January 2011 |
A COMPREHENSIVE ANALYSIS OF UNCERTAINTIES AFFECTING THE STELLAR MASS-HALO MASS RELATION FOR 0 < z < 4
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June 2010 |
Cosmological Constraints from Galaxy Clustering and the Mass-To-Number Ratio of Galaxy Clusters: Marginalizing over the Physics of Galaxy Formation
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February 2014 |
The distribution of dark matter in the coma cluster
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February 1987 |
Constraints on assembly bias from galaxy clustering
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February 2019 |
The Structure of Halos: Implications for Group and Cluster Cosmology
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February 2009 |
The Sloan Digital Sky Survey: Technical Summary
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September 2000 |
Cosmological parameter constraints from galaxy–galaxy lensing and galaxy clustering with the SDSS DR7
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April 2013 |
Correlating galaxy colour and halo concentration: a tunable halo model of galactic conformity
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October 2015 |
Introducing decorated HODs: modelling assembly bias in the galaxy–halo connection
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May 2016 |
The Concentration Dependence of the Galaxy–Halo Connection: Modeling Assembly bias with Abundance Matching
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December 2016 |
Modelling galaxy clustering: halo occupation distribution versus subhalo matching
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April 2016 |
First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies
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December 2017 |
A non-parametric model for linking galaxy luminosity with halo/subhalo mass: are brightest cluster galaxies special?
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January 2008 |
Testing the accuracy of halo occupation distribution modelling using hydrodynamic simulations
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December 2019 |
Strong clustering of underdense regions and the environmental dependence of clustering from Gaussian initial conditions
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June 2007 |
Populating a cluster of galaxies - I. Results at \fontshape{it}{z}=0
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December 2001 |
An evolution free test for non-zero cosmological constant
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October 1979 |
The impact of assembly bias on the halo occupation in hydrodynamical simulations
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August 2018 |
High-order galaxy correlation functions in the APM Galaxy Survey
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June 1994 |
First results from the TNG50 simulation: galactic outflows driven by supernovae and black hole feedback
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August 2019 |
Understanding the halo-mass and galaxy-mass cross-correlation functions
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July 2008 |
Cosmological constraints from applying SHAM to rescaled cosmological simulations
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September 2013 |
The EAGLE project: simulating the evolution and assembly of galaxies and their environments
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November 2014 |
Halo occupation numbers and galaxy bias
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November 2000 |
Limitations to the ‘basic’ HOD model and beyond
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March 2020 |
Algorithm for the direct reconstruction of the dark matter correlation function from weak lensing and galaxy clustering
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March 2010 |
The dependence of galaxy clustering on tidal environment in the Sloan Digital Sky Survey
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March 2018 |
Haloes gone MAD★: The Halo-Finder Comparison Project: The Halo-Finder Comparison Project
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June 2011 |
First results from the IllustrisTNG simulations: matter and galaxy clustering
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December 2017 |
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release
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January 2016 |
How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering
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January 2001 |
SDSS galaxy bias from halo mass-bias relation and its cosmological implications
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February 2005 |
Halo assembly bias and its effects on galaxy clustering
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February 2007 |
The Impact of Assembly Bias on the Galaxy Content of Dark Matter Halos
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January 2018 |
The Halo Occupation Distribution: Toward an Empirical Determination of the Relation between Galaxies and Mass
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August 2002 |
Density profile of dark matter haloes and galaxies in the horizon–agn simulation: the impact of AGN feedback
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August 2017 |
Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies
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November 2005 |
Massive neutrinos leave fingerprints on cosmic voids
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July 2019 |
Modeling Luminosity‐dependent Galaxy Clustering through Cosmic Time
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August 2006 |
Introducing the Illustris Project: simulating the coevolution of dark and visible matter in the Universe
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August 2014 |
First results from the IllustrisTNG simulations: radio haloes and magnetic fields
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August 2018 |
The three causes of low-mass assembly bias
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February 2020 |
The impact of projection effects on cluster observables: stacked lensing and projected clustering
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June 2020 |