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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-1976
DTSTART:20101015T193000Z
DURATION:PT1H0M0S
DTSTAMP:20260416T025828Z
LAST-MODIFIED:20101011T150317Z
LOCATION:5280 Chamberlin Hall
SUMMARY:Automation of the Matrix Element Reweighting Method\, Theory/P
 henomenology Seminar\, Pierre Artoisenet\, Ohio State University
DESCRIPTION:Matrix element reweighting is a powerful experimental tech
 nique widely employed to maximize the amount of information that can b
 e extracted from a collider data set.  Given a set of theoretical hypo
 theses and a sample of experimental events\, the method assigns a weig
 ht to each hypothesis on an event-by-event basis and in this way provi
 des a discriminator between different theoretical assumptions.  The co
 mputation of the weights is intricate\, because it involves a difficul
 t convolution of the theoretical information on the hard scattering wi
 th the experimentally available information on the final state.  In th
 is talk\, I will present a general algorithm aimed at evaluating the w
 eights appearing in the matrix element method for any process of inter
 est in the standard model and beyond.  The implementation builds on Ma
 dGraph\, and is completely automated.  I will also discuss a few sampl
 e applications that show the capabilities of the code and illustrate t
 he possibilities for new studies that such an approach opens up.  (The
  talk is based on work presented in arxiv:1007.3300.)
URL:https://www.physics.wisc.edu/events/?id=1976
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