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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261019T070933Z
LAST-MODIFIED:20200430T135627Z
DTSTART:20200430T193000Z
DTEND:20200430T203000Z
UID:event2335@bu.edu
URL:http://physics.bu.edu/internal/events/show/2335
SUMMARY:The Zen of Neutrino: Neutrinoless Double Beta Decay and Deep Learni
	ng
DESCRIPTION:Featuring Aobo Li\, Boston University\, Physics Department\n\nP
	art of the Departmental Seminars.\n\nNeutrinoless Double Beta Decay (0νβÎ
	²) is a hypothetical lepton-number-violating process and it's existence is 
	one of the most important questions in particle physics. The discovery of 0
	νββ would answer persistent questions related to the intrinsic nature of
	 neutrino mass and provide a window into physics beyond the Standard Model.
	 KamLAND-Zen is one of the world-leading efforts in the search of 0νββ. 
	Data was recently collected with 735 kg of Xe-136 and analyzed using a freq
	uentist likelihood analysis to set a limit on the 0νββ half-life. In add
	ition to the well-established frequentist approach\, I conduct a Bayesian a
	nalysis with a Markov Chain Monte Carlo (MCMC). The Bayesian approach allow
	s the use modern statistical tools and serves as an important cross check o
	f the frequentist analysis. Furthermore\, I developed a new machine learnin
	g event classification algorithm to increase sensitivity to the 0νββ hal
	f-life. In this talk\, I will present the Bayesian analysis framework and a
	 new result for the 0νββ half-life\, in addition to future improvements 
	with machine learning.\n\n-------\n\nJoin Zoom Meeting\nhttps://bostonu.zoo
	m.us/j/7748832895\n\nMeeting ID: 774 883 2895
LOCATION: \, \, 
STATUS:CONFIRMED
CLASS:PUBLIC
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