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ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWF, Austria, FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq, Brazil, FAPESP, Brazil, NSERC, Canada, NRC, Canada, CFI, Canada, CERN, CONICYT, Chile, CAS, China, MOST, China, NSFC, China, COLCIENCIAS, Colombia, MSMT CR, Czech Republic, MPO CR, Czech Republic, VSC CR, Czech Republic, DNRF, Denmark, DNSRC, Denmark, Lundbeck Foundation, Denmark, EPLANET, European Union, ERC, European Union, NSRF, European Union, IN2P3-CNRS, France, CEA-DSM/IRFU, France, GNSF, Georgia, BMBF, Germany, DFG, Germany, HGF, Germany, MPG, Germany, AvH Foundation, Germany, GSRT, Greece, NSRF, Greece, ISF, Israel, MINERVA, Israel, GIF, Israel, I-CORE, Israel, Benoziyo Center, Israel, INFN, Italy, MEXT, Japan, JSPS, Japan, CNRST, Morocco, FOM, Netherlands, NWO, Netherlands, BRF, Norway, RCN, Norway, MNiSW, Poland, NCN, Poland, GRICES, Portugal, FCT, Portugal, MNE/IFA, Romania, MES of Russia, ROSATOM, Russian Federation, JINR, MSTD, Serbia, MSSR, Slovakia, ARRS, Slovenia, MIZS, Slovenia, DST/NRF, South Africa, MINECO, Spain, SRC, Sweden, Wallenberg Foundation, Sweden, SER, Switzerland, SNSF, Switzerland, Canton of Bern, Switzerland, Canton of Geneva, Switzerland, NSC, Taiwan, TAEK, Turkey, STFC, United Kingdom, Royal Society, United Kingdom, Leverhulme Trust, United Kingdom, DOE, United States of America, NSF, United States of America, ICREA

Authors

Publications

Measurement of the centrality and pseudorapidity dependence of the integrated elliptic flow in lead-lead collisions at root S-NN=2.76 TeV with the ATLAS detector

Aad, G.; Agatonović-Jovin, Tatjana; Božović-Jelisavčić, Ivanka; Ćirković, Predrag; Dimitrievska, A.; Krstić, Jelena; Mamužić, Judita; Popovic, D. S.; Sijackia, Dj.; Simic, Lj.; Vranjes, N.; Vranješ Milosavljević, Marija

(2014)

TY  - JOUR
AU  - Aad, G.
AU  - Agatonović-Jovin, Tatjana
AU  - Božović-Jelisavčić, Ivanka
AU  - Ćirković, Predrag
AU  - Dimitrievska, A.
AU  - Krstić, Jelena
AU  - Mamužić, Judita
AU  - Popovic, D. S.
AU  - Sijackia, Dj.
AU  - Simic, Lj.
AU  - Vranjes, N.
AU  - Vranješ Milosavljević, Marija
PY  - 2014
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/70
AB  - The integrated elliptic flow of charged particles produced in Pb+Pb collisions at root S-NN = 2.76 TeV has been measured with the ATLAS detector using data collected at the Large Hadron Collider. The anisotropy parameter, upsilon(2), was measured in the pseudorapidity range |eta| LT = 2.5 with the event-plane method. In order to include tracks with very low transverse momentum p(T), thus reducing the uncertainty in upsilon(2) integrated over p(T), a 1 mu b(-1) data sample recorded without a magnetic field in the tracking detectors is used. The centrality dependence of the integrated upsilon(2) is compared to other measurements obtained with higher PT thresholds. The integrated elliptic flow is weakly decreasing with |eta|. The integrated upsilon 2 transformed to the rest frame of one of the colliding nuclei is compared to the lower-energy RHIC data.
T2  - European Physical Journal C. Particles and Fields
T1  - Measurement of the centrality and pseudorapidity dependence of the integrated elliptic flow in lead-lead collisions at root S-NN=2.76 TeV with the ATLAS detector
VL  - 74
IS  - 8
DO  - 10.1140/epjc/s10052-014-2982-4
ER  - 
@article{
author = "Aad, G. and Agatonović-Jovin, Tatjana and Božović-Jelisavčić, Ivanka and Ćirković, Predrag and Dimitrievska, A. and Krstić, Jelena and Mamužić, Judita and Popovic, D. S. and Sijackia, Dj. and Simic, Lj. and Vranjes, N. and Vranješ Milosavljević, Marija",
year = "2014",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/70",
abstract = "The integrated elliptic flow of charged particles produced in Pb+Pb collisions at root S-NN = 2.76 TeV has been measured with the ATLAS detector using data collected at the Large Hadron Collider. The anisotropy parameter, upsilon(2), was measured in the pseudorapidity range |eta| LT = 2.5 with the event-plane method. In order to include tracks with very low transverse momentum p(T), thus reducing the uncertainty in upsilon(2) integrated over p(T), a 1 mu b(-1) data sample recorded without a magnetic field in the tracking detectors is used. The centrality dependence of the integrated upsilon(2) is compared to other measurements obtained with higher PT thresholds. The integrated elliptic flow is weakly decreasing with |eta|. The integrated upsilon 2 transformed to the rest frame of one of the colliding nuclei is compared to the lower-energy RHIC data.",
journal = "European Physical Journal C. Particles and Fields",
title = "Measurement of the centrality and pseudorapidity dependence of the integrated elliptic flow in lead-lead collisions at root S-NN=2.76 TeV with the ATLAS detector",
volume = "74",
number = "8",
doi = "10.1140/epjc/s10052-014-2982-4"
}
17
15
9

Search for supersymmetry at root 8=8 TeV in final states with jets and two same-sign leptons or three leptons with the ATLAS detector

Aad, G.; Agatonović-Jovin, Tatjana; Božović-Jelisavčić, Ivanka; Ćirković, Predrag; Dimitrievska, A.; Krstić, Jelena; Mamužić, Judita; Popovic, D. S.; Sijacki, Dj.; Simic, Lj.; Vranjes, N.; Vranješ Milosavljević, Marija

(2014)

TY  - JOUR
AU  - Aad, G.
AU  - Agatonović-Jovin, Tatjana
AU  - Božović-Jelisavčić, Ivanka
AU  - Ćirković, Predrag
AU  - Dimitrievska, A.
AU  - Krstić, Jelena
AU  - Mamužić, Judita
AU  - Popovic, D. S.
AU  - Sijacki, Dj.
AU  - Simic, Lj.
AU  - Vranjes, N.
AU  - Vranješ Milosavljević, Marija
PY  - 2014
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/5443
AB  - A search for strongly produced supersymmetric particles is conducted using signatures involving multiple energetic jets and either two isolated leptons (e or mu) with the same electric charge, or at least three isolated leptons. The search also utilises jets originating from b-quarks, missing transverse momentum and other observables to extend its sensitivity. The analysis uses a data sample corresponding to a total integrated luminosity of 20.3 fb(-1) of = 8 TeV proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider in 2012. No deviation from the Standard Model expectation is observed. New or significantly improved exclusion limits are set on a wide variety of supersymmetric models in which the lightest squark can be of the first, second or third generations, and in which R-parity can be conserved or violated.
T2  - Journal of High Energy Physics
T1  - Search for supersymmetry at root 8=8 TeV in final states with jets and two same-sign leptons or three leptons with the ATLAS detector
IS  - 6
DO  - 10.1007/JHEP06(2014)035
ER  - 
@article{
author = "Aad, G. and Agatonović-Jovin, Tatjana and Božović-Jelisavčić, Ivanka and Ćirković, Predrag and Dimitrievska, A. and Krstić, Jelena and Mamužić, Judita and Popovic, D. S. and Sijacki, Dj. and Simic, Lj. and Vranjes, N. and Vranješ Milosavljević, Marija",
year = "2014",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/5443",
abstract = "A search for strongly produced supersymmetric particles is conducted using signatures involving multiple energetic jets and either two isolated leptons (e or mu) with the same electric charge, or at least three isolated leptons. The search also utilises jets originating from b-quarks, missing transverse momentum and other observables to extend its sensitivity. The analysis uses a data sample corresponding to a total integrated luminosity of 20.3 fb(-1) of = 8 TeV proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider in 2012. No deviation from the Standard Model expectation is observed. New or significantly improved exclusion limits are set on a wide variety of supersymmetric models in which the lightest squark can be of the first, second or third generations, and in which R-parity can be conserved or violated.",
journal = "Journal of High Energy Physics",
title = "Search for supersymmetry at root 8=8 TeV in final states with jets and two same-sign leptons or three leptons with the ATLAS detector",
number = "6",
doi = "10.1007/JHEP06(2014)035"
}
4
46
24
64

A neural network clustering algorithm for the ATLAS silicon pixel detector

Aad, G.; Agatonović-Jovin, Tatjana; Ćirković, Predrag; Dimitrievska, A.; Krstić, Jelena; Mamužić, Judita; Marjanovic, M.; Popovic, D. S.; Sijacki, Dj.; Simic, Lj.; Vranjes, N.; Vranješ Milosavljević, Marija

(2014)

TY  - JOUR
AU  - Aad, G.
AU  - Agatonović-Jovin, Tatjana
AU  - Ćirković, Predrag
AU  - Dimitrievska, A.
AU  - Krstić, Jelena
AU  - Mamužić, Judita
AU  - Marjanovic, M.
AU  - Popovic, D. S.
AU  - Sijacki, Dj.
AU  - Simic, Lj.
AU  - Vranjes, N.
AU  - Vranješ Milosavljević, Marija
PY  - 2014
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/175
AB  - A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. This technique reduces the number of clusters shared between tracks in highly energetic jets by up to a factor of three. It also provides more precise position and error estimates of the clusters in both the transverse and longitudinal impact parameter resolution.
T2  - Journal of Instrumentation
T1  - A neural network clustering algorithm for the ATLAS silicon pixel detector
VL  - 9
DO  - 10.1088/1748-0221/9/09/P09009
ER  - 
@article{
author = "Aad, G. and Agatonović-Jovin, Tatjana and Ćirković, Predrag and Dimitrievska, A. and Krstić, Jelena and Mamužić, Judita and Marjanovic, M. and Popovic, D. S. and Sijacki, Dj. and Simic, Lj. and Vranjes, N. and Vranješ Milosavljević, Marija",
year = "2014",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/175",
abstract = "A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. This technique reduces the number of clusters shared between tracks in highly energetic jets by up to a factor of three. It also provides more precise position and error estimates of the clusters in both the transverse and longitudinal impact parameter resolution.",
journal = "Journal of Instrumentation",
title = "A neural network clustering algorithm for the ATLAS silicon pixel detector",
volume = "9",
doi = "10.1088/1748-0221/9/09/P09009"
}
19
39
12
35