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Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2

dc.contributor.authorATLAS collaboration (2859 authors)
dc.contributor.authorAguilar-Saavedra, Juan Antonio
dc.contributor.authorAmor Dos Santos, Susana Patricia
dc.contributor.authorAnjos, Nuno
dc.contributor.authorAraque, Juan Pedro
dc.contributor.authorCarvalho, João
dc.contributor.authorCastro, Nuno Filipe
dc.contributor.authorConde Muiño, Patricia
dc.contributor.authorDa Cunha Sargedas De Sousa, Mario Jose
dc.contributor.authorFiolhais, Miguel
dc.contributor.authorGalhardo, Bruno
dc.contributor.authorGomes, Agostinho
dc.contributor.authorGonçalo, Ricardo
dc.contributor.authorJorge, Pedro
dc.contributor.authorMachado Miguens, Joana
dc.contributor.authorMaio, Amélia
dc.contributor.authorManeira, José
dc.contributor.authorOleiro Seabra, Luis Filipe
dc.contributor.authorOnofre, António
dc.contributor.authorPedro, Rute
dc.contributor.authorSantos, Helena
dc.contributor.authorSaraiva, João
dc.contributor.authorSilva, José
dc.contributor.authorTavares Delgado, Ademar
dc.contributor.authorVeloso, Filipe
dc.contributor.authorWolters, Helmut
dc.date.accessioned2019-02-04T12:48:57Z
dc.date.available2019-02-04T12:48:57Z
dc.date.issued2017-10-11
dc.date.updated2019-02-04T12:48:57Z
dc.description.abstractWith the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13  $\text {TeV}$ for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb$^{-1}$ of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13  $\text {TeV}$ . The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 $\text {GeV}$ is quantified using a novel, data-driven, method. The method uses the energy loss, ${\text { d}}{} \textit{E}/d\textit{x}$ , to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is $0.061 \pm 0.006\ {\text {(stat.)}} \pm 0.014\ {\text {(syst.)}}$ and $0.093 \pm 0.017\ {\text {(stat.)}}\pm 0.021\ {\text {(syst.)}}$ for jet transverse momenta of 200–400  $\text {GeV}$ and 1400–1600  $\text {GeV}$ , respectively.
dc.description.versionPeer Reviewed
dc.identifierEur.Phys.J. C77 (2017) 673; DOI 10.1140/epjc/s10052-017-5225-7
dc.identifier.urihttp://dx.doi.org/10.1140/epjc/s10052-017-5225-7
dc.identifier.urihttp://hdl.handle.net/10400.26/27334
dc.language.isoeng
dc.titlePerformance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt
rcaap.typearticle

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