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stefano.giagu@uniroma1.it
Stefano Giagu
Professore Ordinario
Struttura:
DIPARTIMENTO DI FISICA
E-mail:
stefano.giagu@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Search for the Xb and other hidden-beauty states in the π+π-ϒhooked(1S) channel at ATLAS
PHYSICS LETTERS. SECTION B
2015
Search for the associated production of the Higgs boson with a top quark pair in multilepton final states with the ATLAS detector
PHYSICS LETTERS. SECTION B
2015
Determination of the Ratio of b-Quark Fragmentation Fractions f(s)/f(d) in pp Collisions at √s=7 TeV with the ATLAS Detector
PHYSICAL REVIEW LETTERS
2015
Measurement of the branching ratio Gamma(Lambda(0)(b) -> Psi(2S)Lambda(0))/Gamma(Lambda(0.)(b) -> J/Psi Lambda(0)) with the ATLAS detector
PHYSICS LETTERS. SECTION B
2015
Measurement of the production of neighbouring jets in lead-lead collisions at root s(NN)=2.76TeV with the ATLAS detector
PHYSICS LETTERS. SECTION B
2015
Measurement of four-jet differential cross sections in √s=8 TeV proton-proton collisions using the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2015
Search for high-mass diboson resonances with boson-tagged jets in proton-proton collisions at root s = TeV with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2015
Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2015
Search for lepton-flavour-violating H -> mu tau decays of the Higgs boson with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2015
Measurement of the t(t)over-barW and t(t)over-barZ production cross sections in pp collisions at root s=8 TeV with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2015
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Progetti di Ricerca
AI-assisted real-time motion correction in magnetic resonance
Sviluppo di algoritmi innovativi di Deep Learning per dati altamente sparsificati e applicazione all'identificazione di particelle prodotte nei decadimenti del bosone di Higgs negli esperimenti a LHC
A Scalable Artificial Intelligence system for Machine and Deep Learning Research and Training at Sapienza Università di Roma
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