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BEGIN:VEVENT
DTSTAMP:20261017T181344Z
LAST-MODIFIED:20200706T142412Z
DTSTART:20200805T180000Z
DTEND:20200805T200000Z
UID:event2338@bu.edu
URL:http://physics.bu.edu/internal/events/show/2338
SUMMARY:THE TAO AND ZEN OF NEUTRINO: NEUTRONOLESS DOUBLE BETA DECAY\, BAYES
	IAN ANALYSIS AND DEEP LEARNING IN KAMLAND-ZEN
DESCRIPTION:Featuring Aobo Li\, Boston University\, Physics Department\n\nP
	art of the PhD Final Oral Exams.\n\nNeutrinoless Double Beta Decay(0νββ)
	 is one of the major research interests in neutrino physics. The discovery 
	of 0νββ would answer persistent puzzles in the standard model. KamLAND-Z
	EN experiment is one of the leading efforts in the search of 0νββ. The d
	ata is taken from 745kg of Xe136 isotopes over 224 live-days\, and analyzed
	 by a Frequentisit likelihood analysis to set limit on 0νββ lifetime. In
	 addition to the well-established Frequentist approach\, we conduct a Bayes
	ian analysis with Markov Chain Monte Carlo(MCMC) algorithm. The Bayesian ap
	proach allows us to use modern statistical tools to provide a cross check o
	f the Frequentist analysis; furthermore\, we provide the possibility of add
	ing a self-developed machine learning event classification algorithm to inc
	rease sensitivity. In this talk\, we will present the analysis framework an
	d result of this Bayesian approach\, as well as the future possible inclusi
	on of machine learning result for better experimental sensitivity.\n\n\n---
	\nZoom Link: https://bostonu.zoom.us/j/7748832895
LOCATION: \, \, 
STATUS:CONFIRMED
CLASS:PUBLIC
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