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VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:The neural network approach to parton distributions
DTSTART;VALUE=DATE-TIME:20051104T110000Z
DTEND;VALUE=DATE-TIME:20051104T120000Z
DTSTAMP;VALUE=DATE-TIME:20261113T045320Z
UID:indico-event-1453@indico.ific.uv.es
DESCRIPTION:We motivate the study of the uncertainties of the parton distr
 ibutions in view of precision physics at the LHC. After reviewing the stan
 dard techniques\, we introduce the neural network approach to global fits 
 of parton distribution functions. First we review previous work on unbiase
 d parametrizations of deep-inelastic structure functions with faithful est
 imation of their uncertainties\, and then we summarize the current status 
 of neural network parton distribution fits.\n\nhttps://indico.ific.uv.es/e
 vent/1453/
LOCATION:Edf. Institutos de Investigación Sala Seminarios IFIC
URL:https://indico.ific.uv.es/event/1453/
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END:VCALENDAR