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Satellite kinematics – II. The halo mass–luminosity relation of central galaxies in SDSS
Authors:Surhud More †  Frank C van den Bosch  Marcello Cacciato  H J Mo  Xiaohu Yang  Ran Li
Institution:Max Planck Institute for Astronomy, Koenigstuhl 17, D69117, Heidelberg, Germany;Department of Astronomy, University of Massachusetts, Amherst, MA 010039305, USA;Shanghai Astronomical Observatory, Nandan Road 80, Shanghai 200030, China;Department of Astronomy, Peking University, Beijing 100871, China
Abstract:The kinematics of satellite galaxies reflect the masses of the extended dark matter haloes in which they orbit, and thus shed light on the mass–luminosity relation (MLR) of their corresponding central galaxies. In this paper, we select a large sample of centrals and satellites from the Sloan Digital Sky Survey and measure the kinematics (velocity dispersions) of the satellite galaxies as a function of the r -band luminosity of the central galaxies. Using the analytical framework presented in More, van den Bosch & Cacciato, we use these data to infer both the mean and the scatter of the MLR of central galaxies, carefully taking account of selection effects and biases introduced by the stacking procedure. As expected, brighter centrals on average reside in more massive haloes. In addition, we find that the scatter in halo masses for centrals of a given luminosity,  σlog  M   , also increases with increasing luminosity. As we demonstrate, this is consistent with  σlog  L   , which reflects the scatter in the conditional probability function   P ( L c| M )  , being independent of halo mass. Our analysis of the satellite kinematics yields  σlog  L = 0.16  ±  0.04  , in excellent agreement with constraints from clustering and group catalogues, and with predictions from a semi-analytical model of galaxy formation. We thus conclude that the amount of stochasticity in galaxy formation, which is characterized by  σlog  L   , is well constrained, independent of halo mass and in a good agreement with current models of galaxy formation.
Keywords:methods: statistical  galaxies: fundamental parameters  galaxies: haloes  galaxies: kinematics and dynamics  galaxies: structure  dark matter
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