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SUMMARY:Cosmology from Weak Lensing Non-Gaussian Statistics
DTSTART;VALUE=DATE-TIME:20220504T103000Z
DTEND;VALUE=DATE-TIME:20220504T104500Z
DTSTAMP;VALUE=DATE-TIME:20240720T040246Z
UID:indico-contribution-461@indico.ice.csic.es
DESCRIPTION:Speakers: Marco Gatti (UPenn )\nThe statistical analysis of le
nsed galaxies is a powerful tool to study the dark matter distribution of
the Universe. For instance\, the distortion of galaxy shapes induced by th
e large scale structure of the Universe can be used to reconstruct the pro
jected matter density along the line-of-sight (mass maps). Mass maps are u
seful as they provide a wealth of information that goes beyond and complem
ents the more traditional two-point statistics used in Cosmology. During t
his talk\, I will present the mass map obtained using the first three year
s of data (Y3) of the Dark Energy Survey (DES)\, which is the largest curv
ed-sky galaxy weak lensing mass map to date. I will then show the constrai
nts on cosmological parameters from two independent analyses using non Gau
ssian statistics applied to the DES Y3 mass maps: moments and peaks. The c
onstraints from these analyses are compatible with and tighter than the on
es from the fiducial DES Y3 cosmic shear analysis\, which only relies on t
wo-point statistics. These results showcase the potential of non Gaussian
statistics in terms of cosmological constraining power and as independent
consistency check with ordinary two-point statistics.\n\nhttps://indico.ic
e.csic.es/event/27/contributions/461/
LOCATION:
URL:https://indico.ice.csic.es/event/27/contributions/461/
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