The Dependence of the Occupation of Galaxies on the Halo Formation Time

We study the dependence of the galaxy contents within halos on the halo formation time using two galaxy formation models, one being a semianalytic model utilizing the halo assembly history from a high-resolution N-body simulation and the other being a smoothed particle hydrodynamics simulation including radiative cooling, star formation, and energy feedback from galactic winds. We confirm the finding by Gao et al. that at fixed mass, the clustering of halos depends on the halo formation time, especially for low-mass halos. This age dependence of halo clustering makes it desirable to study the correlation between the occupation of galaxies within halos and the halo age. We find that, in halos of fixed mass, the number of satellite galaxies has a strong dependence on halo age, with fewer satellites in older halos. The youngest one-third of the halos can have an order of magnitude more satellites than the oldest one-third. For central galaxies, in halos that form earlier, they tend to have more stars and thus appear to be more luminous, and the dependence of their luminosity on halo age is not as strong as that of stellar mass. The results can be understood through the star formation history in halos and the merging of satellites onto central galaxies. The age dependence of the galaxy contents within halos would constitute an important ingredient in a more accurate halo-based model of galaxy clustering.

[1]  R. Wechsler,et al.  The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation , 2005, astro-ph/0512416.

[2]  J. Tinker,et al.  From Galaxy-Galaxy Lensing to Cosmological Parameters , 2005, astro-ph/0511580.

[3]  S. Cole,et al.  A marked correlation function analysis of halo formation times in the Millennium Simulation , 2005, astro-ph/0510488.

[4]  A. Cooray Halo model at its best: constraints on conditional luminosity functions from measured galaxy statistics , 2005, astro-ph/0509033.

[5]  H. Ferguson,et al.  The Large-Scale and Small-Scale Clustering of Lyman Break Galaxies at 3.5 ⩽ z ⩽ 5.5 from the GOODS Survey , 2005, astro-ph/0508090.

[6]  K. Shimasaku,et al.  Definitive Identification of the Transition between Small- and Large-Scale Clustering for Lyman Break Galaxies , 2005, astro-ph/0508083.

[7]  S. White,et al.  The age dependence of halo clustering , 2005, astro-ph/0506510.

[8]  V. Springel The Cosmological simulation code GADGET-2 , 2005, astro-ph/0505010.

[9]  R. Wechsler,et al.  The Physics of Galaxy Clustering. I. A Model for Subhalo Populations , 2004, astro-ph/0411586.

[10]  J. Frieman,et al.  The Luminosity and Color Dependence of the Galaxy Correlation Function , 2004, astro-ph/0408569.

[11]  R. Davé,et al.  Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies , 2004, astro-ph/0408564.

[12]  Y. Jing,et al.  Semianalytical Model of Galaxy Formation with High-Resolution N-Body Simulations , 2004, astro-ph/0408475.

[13]  S. White,et al.  The subhalo populations of ΛCDM dark haloes , 2004, astro-ph/0404589.

[14]  Zheng Zheng Interpreting the Observed Clustering of Red Galaxies at z ~ 3 , 2003, astro-ph/0307030.

[15]  M. Magliocchetti,et al.  The halo distribution of 2dF galaxies , 2003 .

[16]  D. Madgwick,et al.  Constraining Evolution in the Halo Model Using Galaxy Redshift Surveys , 2003, astro-ph/0307248.

[17]  R. Nichol,et al.  On Departures from a Power Law in the Galaxy Correlation Function , 2003, astro-ph/0301280.

[18]  H. Mo,et al.  Linking early‐ and late‐type galaxies to their dark matter haloes , 2002, astro-ph/0210495.

[19]  H. Mo,et al.  Constraining galaxy formation and cosmology with the conditional luminosity function of galaxies , 2002, astro-ph/0207019.

[20]  R. Sheth,et al.  Halo Models of Large Scale Structure , 2002, astro-ph/0206508.

[21]  V. Springel,et al.  Cosmological smoothed particle hydrodynamics simulations: a hybrid multiphase model for star formation , 2002, astro-ph/0206393.

[22]  Y. Jing,et al.  Triaxial Modeling of Halo Density Profiles with High-Resolution N-Body Simulations , 2002, astro-ph/0202064.

[23]  D. Weinberg,et al.  The Halo Occupation Distribution: Toward an Empirical Determination of the Relation between Galaxies and Mass , 2001, astro-ph/0109001.

[24]  R. Wechsler,et al.  Galaxy halo occupation at high redshift , 2001, astro-ph/0106293.

[25]  L. Moustakas,et al.  The Masses, Ancestors, and Descendants of Extremely Red Objects: Constraints from Spatial Clustering , 2001, astro-ph/0110584.

[26]  Y. Jing,et al.  Spatial Correlation Functions and the Pairwise Peculiar Velocity Dispersion of Galaxies in the Point Source Catalog Redshift Survey: Implications for the Galaxy Biasing in Cold Dark Matter Models , 2001, astro-ph/0104023.

[27]  V. Springel,et al.  GADGET: a code for collisionless and gasdynamical cosmological simulations , 2000, astro-ph/0003162.

[28]  B. Jain,et al.  How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering , 2000, astro-ph/0006319.

[29]  J. Peacock,et al.  Halo occupation numbers and galaxy bias , 2000, astro-ph/0005010.

[30]  Chung-Pei Ma,et al.  Deriving the Nonlinear Cosmological Power Spectrum and Bispectrum from Analytic Dark Matter Halo Profiles and Mass Functions , 2000, astro-ph/0003343.

[31]  U. Seljak Analytic model for galaxy and dark matter clustering , 2000, astro-ph/0001493.

[32]  ApJ, in press , 1999 .

[33]  Y. Jing,et al.  Spatial Correlation Function and Pairwise Velocity Dispersion of Galaxies: Cold Dark Matter Models versus the Las Campanas Survey , 1997, astro-ph/9707106.

[34]  U. Seljak,et al.  A Line of sight integration approach to cosmic microwave background anisotropies , 1996, astro-ph/9603033.

[35]  J. R. Bond,et al.  Excursion set mass functions for hierarchical Gaussian fluctuations , 1991 .

[36]  A. Szalay,et al.  The statistics of peaks of Gaussian random fields , 1986 .

[37]  G. Efstathiou,et al.  The evolution of large-scale structure in a universe dominated by cold dark matter , 1985 .