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PRODID:UW-Madison-Physics-Events
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SEQUENCE:1
UID:UW-Physics-Event-9427
DTSTART:20251110T190000Z
DTEND:20251110T203000Z
DTSTAMP:20260413T084218Z
LAST-MODIFIED:20251105T193928Z
LOCATION:Chamberlin 5280
SUMMARY:The Galactic Center Excess: what AI/ML is teaching us about a 
 potential dark-matter signal\, Theory Seminar (High Energy/Cosmology)\
 , Nicholas L. Rodd\, LBL\, Berkeley
DESCRIPTION:In this talk I will provide an update on the Galactic Cent
 er Excess (GCE)\, a potential signal of dark-matter annihilation disco
 vered in Fermi gamma-ray data sixteen years ago. The leading alternati
 ve hypothesis to dark matter is a population of unresolved point sourc
 es. I'll review the statistical framework that allows one to distingui
 sh between point sources and dark matter\, focussing specifically on w
 here it breaks\, and why AI/ML techniques can overcome the issues. The
  latest AI/ML approaches are pointing back in favor of dark matter\, h
 owever I'll show that the case is far from resolved and there remain m
 any improvements we can make to shed further light on what yet could b
 e the discovery of dark matter.
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URL:https://www.physics.wisc.edu/events/?id=9427
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