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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
Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at root s=7 and 8 TeV in the ATLAS experiment
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Measurement of exclusive gamma gamma -> W+W- production and search for exclusive Higgs boson production in pp collisions at root s=8 TeV using the ATLAS detector
PHYSICAL REVIEW D
2016
Measurement of the b(b)over-bar dijet cross section in pp collisions at root s=7TeV with the ATLAS detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Search for squarks and gluinos in final states with jets and missing transverse momentum at root s=13 TeV with the ATLAS detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Identification of high transverse momentum top quarks in pp collisions at root s=8 TeV with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2016
Measurement of the double-differential high-mass Drell-Yan cross section in pp collisions at root s=8 TeV with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2016
A new method to distinguish hadronically decaying boosted Z bosons from W bosons using the ATLAS detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Search for dark matter produced in association with a hadronically decaying vector boson in pp collisions at root s=13 TeV with the ATLAS detector
PHYSICS LETTERS. SECTION B
2016
Measurement of jet activity in top quark events using the e mu final state with two b-tagged jets in pp collisions at root s=8 TeV with the ATLAS detector
JOURNAL OF HIGH ENERGY PHYSICS
2016
The ATLAS data acquisition and high level trigger system
JOURNAL OF INSTRUMENTATION
2016
Search for Minimal Supersymmetric Standard Model Higgs bosons H/A and for a Z ' boson in the tau tau final state produced in pp collisions at root s=13 TeV with the ATLAS Detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Search for high-mass new phenomena in the dilepton final state using proton-proton collisions at root s=13 TeV with the ATLAS detector
PHYSICS LETTERS. SECTION B
2016
Search for resonances in the mass distribution of jet pairs with one or two jets identified as b-jets in proton-proton collisions at root S=13 TeV with the ATLAS detector
PHYSICS LETTERS. SECTION B
2016
Test of CP invariance in vector-boson fusion production of the Higgs boson using the Optimal Observable method in the ditau decay channel with the ATLAS detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Search for supersymmetry at root s=13 TeV in final states with jets and two same-sign leptons or three leptons with the ATLAS detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Search for pair production of Higgs bosons in the bbbb final state using proton-proton collisions at root s=13 TeV with the ATLAS detector
PHYSICAL REVIEW D
2016
The performance of the jet trigger for the ATLAS detector during 2011 data taking
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Measurement of the t (t)over-bar production cross-section using e mu events with b-tagged jets in pp collisions at root s = 7 and 8 TeV with the ATLAS detector
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
2016
Search for TeV-scale gravity signatures in high-mass final states with leptons and jets with the ATLAS detector at root s=13 TeV
PHYSICS LETTERS. SECTION B
2016
Evidence for single top-quark production in the s-channel in proton-proton collisions at root s=8 TeV with the ATLAS detector using the Matrix Element Method
PHYSICS LETTERS. SECTION B
2016
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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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