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Pregled bibliografske jedinice broj: 671852

Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network


Chatrchyan, S.; ...; Godinović, Nikola; Lelas, Damir; Pleština, Roko; Polić, Dunja; Puljak, Ivica; Antunović, Željko; Kovač, Marko; Brigljević, Vuko et al.
Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network // Physical Review D - Particles, Fields, Gravitation, and Cosmology, 87 (2013), 072001-1 doi:10.1103/PhysRevD.87.072001 (međunarodna recenzija, članak, znanstveni)


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Naslov
Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network

Autori
Chatrchyan, S. ; ... ; Godinović, Nikola ; Lelas, Damir ; Pleština, Roko ; Polić, Dunja ; Puljak, Ivica ; Antunović, Željko ; Kovač, Marko ; Brigljević, Vuko ; Đurić, Senka ; Kadija, Krešo ; Luetić, Jelena ; Mekterović, Darko ; Morović, Srećko ; ... ; Swanson, J.

Izvornik
Physical Review D - Particles, Fields, Gravitation, and Cosmology (1550-7998) 87 (2013); 072001-1

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
LHC; CMS; supersymmetry

Sažetak
In this paper, a search for supersymmetry (SUSY) is presented in events with two opposite-sign isolated leptons in the final state, accompanied by hadronic jets and missing transverse energy. An artificial neural network is employed to discriminate possible SUSY signals from a standard model background. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run, corresponding to an integrated luminosity of 4.98 inverse femtobarns of proton-proton collisions at the center-of-mass energy of 7 TeV. Compared to other CMS analyses, this one uses relaxed criteria on missing transverse energy (missing ET > 40 GeV) and total hadronic transverse energy (HT > 120 GeV), thus probing different regions of parameter space. Agreement is found between standard model expectation and observations, yielding limits in the context of the constrained mininal supersymmetric standard model and on a set of simplified models.

Izvorni jezik
Engleski

Znanstvena područja
Fizika



POVEZANOST RADA


Projekt / tema
023-0982887-3064 - Potraga za Higgsovim bozonom i novom fizikom detektorom CMS (Ivica Puljak, )
098-0982887-2878 - Eksperimentalna fizika na LHC energijama (Krešo Kadija, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Institut "Ruđer Bošković", Zagreb

Citiraj ovu publikaciju

Chatrchyan, S.; ...; Godinović, Nikola; Lelas, Damir; Pleština, Roko; Polić, Dunja; Puljak, Ivica; Antunović, Željko; Kovač, Marko; Brigljević, Vuko et al.
Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network // Physical Review D - Particles, Fields, Gravitation, and Cosmology, 87 (2013), 072001-1 doi:10.1103/PhysRevD.87.072001 (međunarodna recenzija, članak, znanstveni)
Chatrchyan, S., ..., Godinović, N., Lelas, D., Pleština, R., Polić, D., Puljak, I., Antunović, Ž., Kovač, M. & Brigljević, V. (2013) Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network. Physical Review D - Particles, Fields, Gravitation, and Cosmology, 87, 072001-1 doi:10.1103/PhysRevD.87.072001.
@article{article, year = {2013}, pages = {072001-1-072001-21}, DOI = {10.1103/PhysRevD.87.072001}, keywords = {LHC, CMS, supersymmetry}, journal = {Physical Review D - Particles, Fields, Gravitation, and Cosmology}, doi = {10.1103/PhysRevD.87.072001}, volume = {87}, issn = {1550-7998}, title = {Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network}, keyword = {LHC, CMS, supersymmetry} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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