Publication
Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
dc.contributor.author | ATLAS collaboration (2859 authors) | |
dc.contributor.author | Aguilar-Saavedra, Juan Antonio | |
dc.contributor.author | Amor Dos Santos, Susana Patricia | |
dc.contributor.author | Anjos, Nuno | |
dc.contributor.author | Araque, Juan Pedro | |
dc.contributor.author | Carvalho, João | |
dc.contributor.author | Castro, Nuno Filipe | |
dc.contributor.author | Conde Muiño, Patricia | |
dc.contributor.author | Da Cunha Sargedas De Sousa, Mario Jose | |
dc.contributor.author | Fiolhais, Miguel | |
dc.contributor.author | Galhardo, Bruno | |
dc.contributor.author | Gomes, Agostinho | |
dc.contributor.author | Gonçalo, Ricardo | |
dc.contributor.author | Jorge, Pedro | |
dc.contributor.author | Machado Miguens, Joana | |
dc.contributor.author | Maio, Amélia | |
dc.contributor.author | Maneira, José | |
dc.contributor.author | Oleiro Seabra, Luis Filipe | |
dc.contributor.author | Onofre, António | |
dc.contributor.author | Pedro, Rute | |
dc.contributor.author | Santos, Helena | |
dc.contributor.author | Saraiva, João | |
dc.contributor.author | Silva, José | |
dc.contributor.author | Tavares Delgado, Ademar | |
dc.contributor.author | Veloso, Filipe | |
dc.contributor.author | Wolters, Helmut | |
dc.date.accessioned | 2019-02-04T12:48:57Z | |
dc.date.available | 2019-02-04T12:48:57Z | |
dc.date.issued | 2017-10-11 | |
dc.date.updated | 2019-02-04T12:48:57Z | |
dc.description.abstract | With 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.version | Peer Reviewed | |
dc.identifier | Eur.Phys.J. C77 (2017) 673; DOI 10.1140/epjc/s10052-017-5225-7 | |
dc.identifier.uri | http://dx.doi.org/10.1140/epjc/s10052-017-5225-7 | |
dc.identifier.uri | http://hdl.handle.net/10400.26/27334 | |
dc.language.iso | eng | |
dc.title | Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2 | |
dc.type | journal article | |
dspace.entity.type | Publication | |
rcaap.rights | openAccess | pt |
rcaap.type | article |