Description and performance of track and primary-vertex reconstruction with the CMS tracker
Özet
A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For t events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of pT> 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of pT= 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in pT, and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10-12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung. © CERN 2014 for the benefit of the CMS collaboration.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Chatrchyan, S. | |
| dc.contributor.author | Khachatryan, V. | |
| dc.contributor.author | Sirunyan, A.M. | |
| dc.contributor.author | Tumasyan, A. | |
| dc.contributor.author | Adam, W. | |
| dc.contributor.author | Bergauer, T. | |
| dc.contributor.author | Dragicevic, M. | |
| dc.contributor.author | Erö, J. | |
| dc.contributor.author | Fabjan, C. | |
| dc.contributor.author | Friedl, M. | |
| dc.contributor.author | Frühwirth, R. | |
| dc.contributor.author | Ghete, V.M. | |
| dc.contributor.author | Hartl, C. | |
| dc.contributor.author | Hörmann, N. | |
| dc.contributor.author | Hrubec, J. | |
| dc.contributor.author | Jeitler, M. | |
| dc.contributor.author | Kiesenhofer, W. | |
| dc.contributor.author | Knünz, V. | |
| dc.contributor.author | Krammer, M. | |
| dc.contributor.author | Krätschmer, I. | |
| dc.contributor.author | Liko, D. | |
| dc.contributor.author | Mikulec, I. | |
| dc.contributor.author | Rabady, D. | |
| dc.contributor.author | Rahbaran, B. | |
| dc.contributor.author | Rohringer, H. | |
| dc.contributor.author | Schöfbeck, R. | |
| dc.contributor.author | Strauss, J. | |
| dc.contributor.author | Taurok, A. | |
| dc.contributor.author | Treberer-Treberspurg, W. | |
| dc.contributor.author | Waltenberger, W. | |
| dc.contributor.author | Wulz, C.-E. | |
| dc.contributor.author | Mossolov, V. | |
| dc.contributor.author | Shumeiko, N. | |
| dc.contributor.author | Suarez Gonzalez, J. | |
| dc.contributor.author | Alderweireldt, S. | |
| dc.contributor.author | Bansal, M. | |
| dc.contributor.author | Bansal, S. | |
| dc.contributor.author | Beaumont, W. | |
| dc.contributor.author | Cornelis, T. | |
| dc.contributor.author | De Wolf, E.A. | |
| dc.contributor.author | Janssen, X. | |
| dc.contributor.author | Knutsson, A. | |
| dc.contributor.author | Luyckx, S. | |
| dc.contributor.author | Mucibello, L. | |
| dc.contributor.author | Ochesanu, S. | |
| dc.contributor.author | Roland, B. | |
| dc.contributor.author | Rougny, R. | |
| dc.contributor.author | Van Haevermaet, H. | |
| dc.contributor.author | Van Mechelen, P. | |
| dc.contributor.author | Van Remortel, N. | |
| dc.date.accessioned | 2026-10-18T20:30:36.985875986Z | |
| dc.date.available | 2026-10-18T20:30:36.985875986Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For t events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of pT> 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of pT= 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in pT, and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10-12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung. © CERN 2014 for the benefit of the CMS collaboration. | |
| dc.description.sponsorship | Austrian Science Fund, FWF; Ministry of Education, MOE; Science and Technology Facilities Council, STFC; Istituto Nazionale di Fisica Nucleare, INFN; General Secretariat for Research and Technology, GSRT; National Research Foundation; Ministry of Science and Technology, MOST; University of Malaya, UM; Physicians' Services Incorporated Foundation, PSI; Joint Institute for Nuclear Research, JINR; National Science Foundation, NSF; Research Promotion Foundation, RPF; Chinese Academy of Sciences, CAS; National Science and Technology Development Agency, NSTDA; Fundação para a Ciência e a Tecnologia, FCT; Swiss National Science Foundation, SNSF; Deutsche Forschungsgemeinschaft, DFG; National Academy of Sciences, NAS; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES; Russian Foundation for Basic Research, RFBR; Bundesministerium für Bildung und Forschung, BMBF; National Natural Science Foundation of China, NSFC; Agentschap voor Innovatie door Wetenschap en Technologie, IWT; Consejo Nacional de Ciencia y Tecnología, CONACYT; European Research Council, ERC; Russian Academy of Sciences, RAS; Ministry of Education, Science and Technology, MEST; , (ST/K001256/1, ST/L006340/1, ST/I505572/1, ST/I005912/1, ST/L00609X/1, ST/F007094/1, ST/J004901/1, ST/K003844/1, ST/J005665/1, GRIDPP, ST/H00081X/2); ; National Science Foundation, NSF, (1306040, 1151640, 1306953, 1205960, 1120138, 1314131, 0906479, 1306951); National Science Foundation, NSF; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (153664, 152601, 146730); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Estonian Research Council, (IUT23-4, IUT23-6); Estonian Research Council | |
| dc.identifier.doi | 10.1088/1748-0221/9/10/p10009 | |
| dc.identifier.issn | 1748-0221 | |
| dc.identifier.issue | 10 | |
| dc.identifier.scopus | 2-s2.0-84908341975 | |
| dc.identifier.startpage | P10009 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/15773 | |
| dc.identifier.volume | 9 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Physics | |
| dc.relation.ispartof | Journal of Instrumentation | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Large detectorsystems performance | |
| dc.subject | Pattern recognition, cluster finding, calibration and fitting methods | |
| dc.subject | Performance of High Energy Physics Detectors | |
| dc.subject | Charged particles | |
| dc.subject | Germanium compounds | |
| dc.subject | Calibration method | |
| dc.subject | CMS tracker | |
| dc.subject | Fitting method | |
| dc.subject | High energy physics detector | |
| dc.subject | Large detectorsystem performance | |
| dc.subject | Pattern recognition, cluster finding, calibration and fitting method | |
| dc.subject | Performance | |
| dc.subject | Performance of high energy physic detector | |
| dc.subject | Vertex reconstruction | |
| dc.subject | Pattern recognition | |
| dc.title | Description and performance of track and primary-vertex reconstruction with the CMS tracker | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 467 | |
| rdl.oa.status | gold | |
| rdl.source.index | SCOPUS |
