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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-8732
DTSTART:20240507T190000Z
DTEND:20240507T210000Z
DTSTAMP:20260413T223325Z
LAST-MODIFIED:20240416T204555Z
LOCATION:B343\, Sterling Hall
SUMMARY:Flow-based Nonperturbative Simulation of First-order Phase Tra
 nsitions\, Preliminary Exam\, Dean Chen\, Physics PhD Graduate Student
DESCRIPTION:In this talk\, I will introduce a flow-based nonperturbati
 ve method to study the first-order phase transition (FOPT) of a scalar
  field theory on a lattice. Motivated by possible early-universe first
 -order electroweak and QCD phase transitions and recent developments i
 n machine learning tools\, including normalizing flows (NFs) for latti
 ce field theory\, we have developed a simulation algorithm to efficien
 tly calculate bubble nucleation rates. We propose the ``partitioning f
 low-based (PF) sampling" method to overcome two challenges in the appl
 ication of NFs for lattice field theory: the "mode-collapse" and "rare
 -event sampling" problems. Using a (2+1)-dimensional real scalar model
  as an example\, we demonstrate the capability of our PF method to cal
 culate the nucleation rates for the thermal FOPT. This method could be
  applied to (3+1)-dimensional theories and used to study realistic cos
 mological phase transitions.
URL:https://www.physics.wisc.edu/events/?id=8732
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