BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Extracting non-Gaussian information from the Large-Scale Structure
  - Oliver Leicht (University of Cambridge)
DTSTART:20181116T130000Z
DTEND:20181116T140000Z
UID:TALK112447@talks.cam.ac.uk
CONTACT:Nathan Johnson-McDaniel
DESCRIPTION:One of the main of challenges in modern cosmology is to fully 
 exploit datasets by extracting non-Gaussian (small scale) information. In 
 this talk\, I will present results following two different approaches. I w
 ill first present a full forward model for the neutral hydrogen counts-in-
 cell statistic obtained from the known matter counts-in-cell statistic tog
 ether with a new non-linear bias function relating neutral hydrogen and ma
 tter. Secondly\, I will show preliminary forecasts for a projected galaxy 
 bispectrum analysis that allows to control systematics arising from non-li
 near redshift-space distortions.
LOCATION:Pavilion B Potter Room (B1.19)
END:VEVENT
END:VCALENDAR