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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:2
UID:UW-Physics-Event-9587
DTSTART:20260420T180000Z
DTEND:20260420T193000Z
DTSTAMP:20260513T164655Z
LAST-MODIFIED:20260420T195914Z
LOCATION:Chamberlin 5280
SUMMARY:A data-driven prediction for the primordial deuterium abundanc
 e \, Theory Seminar (High Energy/Cosmology)\, Hongwan Liu\, Boston U.
DESCRIPTION:The primordial deuterium abundance D/H from Big Bang Nucle
 osynthesis (BBN) is one of the most powerful probes of ΛCDM cosmology
  and its extensions. I will present a novel\, fully data-driven method
  for predicting D/H using Gaussian processes\, validated with Monte Ca
 rlo tests that confirm negligible bias and accurate coverage of the re
 sulting uncertainties. Applying the same Monte Carlo framework to poly
 nomial fitting methods commonly used in the literature\, we find that 
 these systematically overestimate D/H. Assuming baryon abundances from
  CMB measurements\, our predictions are approximately 2σ discrepant w
 ith observations of the primordial D/H. Event recording: https://youtu
 .be/OILgrfF0zKI
URL:https://www.physics.wisc.edu/events/?id=9587
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