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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-8830
DTSTART:20240812T183000Z
DTEND:20240812T203000Z
DTSTAMP:20260413T184852Z
LAST-MODIFIED:20240717T032311Z
LOCATION:5310 Chamberlin Hall
SUMMARY:Physics Beyond the Standard Model: Quark and Lepton Flavor Mod
 els\, Thesis Defense\, Shu Tian Eu\, Physics PhD Graduate Student
DESCRIPTION:The origin of the masses and mixing angles of quarks and l
 eptons remains one of the most intriguing problems to explore in parti
 cle physics. In the quark sector\, we studied a minimal flavored gauge
 -mediated supersymmetry breaking model in which the Higgs and messenge
 r doublets are embedded in multiplets of the S3 symmetry. This discret
 e non-Abelian symmetry correlates the flavor structure of the quark an
 d lepton Yukawa couplings with the structure of the messenger Yukawa c
 ouplings that contribute to the soft supersymmetry breaking mass param
 eters. In the lepton sector\, we focused our studies in a class of lep
 tonic portal matter models with an additional U(1) symmetry\, as motiv
 ated by sub-GeV dark matter models. We presented a minimal constructio
 n of such leptonic model that address the muon g-2 anomaly\, and we pr
 ovided a more complete theory based on a SU(2) x SU(2) dark gauge grou
 p. We also employed new machine learning techniques\, namely reinforce
 ment learning\, to develop a machine learning model builder to explore
  this framework. We successfully trained a reinforcement learning agen
 t to explore this model space and found new possible portal matter mod
 els that are consistent with experimental constraints including the an
 omalous muon magnetic moment.
URL:https://www.physics.wisc.edu/events/?id=8830
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