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UID:6a001dea485a6
DTSTAMP:20260510T055554Z
DTSTART:20190606T150000Z
DTEND:20190606T235000Z
LOCATION:Dipartimento di Fisica e Astronomia - Aula C. Voci Via F. Marzolo\,  8
SUMMARY:Seminario su "Constraining effective field theories with machine learning"
DESCRIPTION:An important part of the LHC legacy will be precise limits on i
 ndirect effects of new physics\,  framed for instance in terms of an effect
 ive field theory. These measurements often involve many theory parameters 
 and observables\,  which makes them challenging for traditional analysis me
 thods. We discuss the underlying problem of “likelihood-free” inferenc
 e[..]\nhttps://www.pd.infn.it/events/constraining-effective-field-theories-
 with-machine-learning/
URL:https://www.pd.infn.it/events/constraining-effective-field-theories-with-machine-learning/
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