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BEGIN:VEVENT
DTSTART;TZID=Atlantic/Canary:20160128T103000
DTEND;TZID=Atlantic/Canary:20160128T113000
UID:iactalks-863
X-WR-CALNAME: IAC Talks: Open Astronomy Seminars
X-ORIGINAL-URL: /iactalks/Talks/view/863
CREATED:2016-01-28T10:30:00+00:00
X-WR-CALDESC: IAC Talks upcomming talks
SUMMARY:Effective bias to model and infer the cosmological large scale stru
 cture
DESCRIPTION:Effective bias to model and infer the cosmological large scale 
 structure\nDr. Francisco Kitaura\n\nThe cosmological large-scale structure
  encodes a wealth of  information about the origin and evolution of our Un
 iverse. Galaxy redshift surveys provide a 3-dimensional picture of the lum
 inous  sources in the Universe. These are however biased tracers of the  u
 nderlying dark matter field. I will discuss the different components  whic
 h are relevant to model galaxy bias, ranging from deterministic  nonlinear
 , over non-local, to stochastic components. These effective bias ingredien
 ts permit us to save computational time  and memory requirements, to effic
 iently produce mock galaxy catalogues.  These are useful to study systemat
 ics of survey, test analysis tools,  and compute covariance matrices to pe
 rform a robust analysis of the data. Moreover, this description permits us
  to implement them in inference  analysis methods to recover the dark matt
 er field and its peculiar  velocity field. I will show some examples based
  on the largest sample of luminous red  galaxies to date based on the fina
 l BOSS SDSS-III data release.
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