Resummed Perturbation Theory of Galaxy Clustering
  The relationship between observed tracers such as galaxies and the underlying
dark matter distribution is crucial in extracting cosmological information. As
the linear bias model breaks down at quasi-linear scales, the standard
perturbative approach of the nonlinear Eulerian bias model (EBM) is not
accurate enough in describing galaxy clustering. In this paper, we discuss such
a model in the context of resummed perturbation theory, and further generalize
it to incorporate the subsequent gravitational evolution by combining with a
Lagrangian description of galaxies' motion. The multipoint propagators we
constructed for such model also exhibit exponential damping similar to their
dark matter counterparts, therefore the convergence property of statistics
built upon these quantities is improved. This is achieved by applying both
Eulerian and Lagrangian resummation techniques of dark matter field developed
in recent years. As inherited from the Lagrangian description of galaxy density
evolution, our approach automatically incorporates the non-locality induced by
gravitational evolution after the formation of the tracer, and also allows us
to include a continuous galaxy formation history by temporally
weighted-averaging relevant quantities with the galaxy formation rate.
