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SUMMARY:Halo clustering for precision cosmology - Vincent Desjacques (U. G
 eneva)
DTSTART:20151130T130000Z
DTEND:20151130T140000Z
UID:TALK62562@talks.cam.ac.uk
CONTACT:Tommaso Giannantonio
DESCRIPTION:Only a self-consistent description of halo clustering will all
 ow us to fully exploit the potential of future large-scale structure data.
   The peak approach is a very promising framework because it exhibits all 
 the complications brought by halo biasing - scale-dependence\, non-lineari
 ty and stochasticity - and simultaneously accounts for the halo mass funct
 ion and bias parameters. I will illustrate the predictive power of this ap
 proach with numerical simulations\, discuss its present limitations and ou
 tline directions for future work.
LOCATION:CMS\, Pav. B\, CTC Common Room (B1.19) [Potter Room]
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