ANNULLATO
Seminario fisica teorica Andrea Amoretti (U. Genova)
ANNULLATO
Seminario di Fenomenologia Dr.ssa Carmelita Carbone (INAF Milano)
ANNULLATO
Seminario teorico: Alexander Krikun (Nordita Sweden)
ANNULLATO
Seminario fenomenologia: Matt LeBlanc (U. of Arizona/CERN)
ANNULLATO
Seminario di Fenomenologia Dr.Pablo Quilez (DESY)
ANNULLATO
Seminario teorico: Angelo Bassi (Uni Trieste)
ANNULLATO
Seminario di Astrofisica Anna Ciurlo (UCLA)
ANNULLATO Seminario teorico: Matteo Lostaglio (Barcellona)
Machine Learning for BSM searches: A New Perspective
Machine Learning (ML) techniques are emerging as a competitive tool for
The partonic structure of the electron
Although the computation of a vast class of $e^+e^-$ cross sections
is fully doable in perturbative QED, the perturbative series is not
well behaved unless a mechanism is devised that allows one to take
into account, to all orders in the coupling constant, the effects
due to multiple emissions of photons and $e^+e^-$ pairs off the
incoming particles. I shall discuss one such mechanism, that has
a strict analogy with its counterpart in QCD and is based upon
the so-called Parton Distribution Functions (PDFs) of the electron
and the positron. I shall present recent results that have improved
the accuracy to which these PDFs are known.
Per partecipare: gruppo Teams Università di Genova numero 1npbr0h
(se si possiede un account Teams Unige, si può accedere con il codice.
Se invece si possiede solo un account Teams INFN, scrivere a
simone.marzani@ge.infn.it per essere aggiunti come ospiti).