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VERSION:2.0
PRODID:-//RLASKEY//CALENDEROUS//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261018T100634Z
LAST-MODIFIED:20191009T150155Z
DTSTART:20191010T200000Z
DTEND:20191010T210000Z
UID:event2204@bu.edu
URL:http://physics.bu.edu/internal/events/show/2204
SUMMARY:Deep learning for Higgs and new physics searches at the LHC
DESCRIPTION:Featuring Javier Duarte\, UCSD\nHosted by: Indara Suarez\n\nPar
	t of the HEE Seminar Series.\n\nSince the discovery of the Higgs boson at t
	he Large Hadron Collider in 2012\, developments in deep learning have expan
	ded our ability to study the production of Higgs bosons and other particles
	 with very large momenta. By studying these particles\, we may be able to d
	iscover new physics at very high energy scales inaccessible directly at the
	 LHC. I will explain these searches and talk about the direction that deep 
	learning is taking in particle physics\, especially how it's changing the t
	rigger system\, event reconstruction\, and our computing paradigm.
LOCATION:PRB 595\, 3 Cummington Mall\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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