Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
- NázevTitle
- Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detectorLight-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- G. Aad, B. Abbott, T. Abajvan, S.A. Khalek, K. Augsten, P. Gallus, J. Günther, J. Jakůbek, Z. Kohout, V. Král, S. Pospíšil, F. Seifert, V. Šimák, T. Slavíček, K. Smolek, J. Sodomka, M. Solar, J. Šolc, V. Sopko, B. Sopko, I. Štekl, D. Tureček, M. Vlasák, P. Vokáč, Z. Vykydal, A. Sopczak, M. Suk
- Klíčová slovaKeywords
- z-decays, multiplicity
- ExperimentCollaboration
- ATLAS
- DOIDOI
- 10.1140/epjc/s10052-014-3023-z
- Časopis / citaceJournal / citation
- The European Physical Journal C 74(8), 3023 (2014) · ISSN 1434-6044
- RokYear
- 2014
- JazykLanguage
- eng
- ZáznamyRecords
- ProjektProject
- Mezinárodní experiment ATLAS-CERNInternational experiment ATLAS-CERN; Podpora zkvalitnění týmů výzkumu a vývoje a rozvoj intersektorální mobility na ČVUT v PrazeSupport of inter-sectoral mobility and quality enhancement of research teams at Czech Technical University in Prague; Mezinárodní experiment ATLAS-CERNInternational Experiment ATLAS-CERN
- CitovánoCited by
- 152 (INSPIRE-HEP)
- Plný text (open access)Full text (open access)
- https://link.springer.com/content/pdf/10.1140/epjc/s10052-014-3023-z.pdf
- Citace ke staženíDownload citation
- TXT · BibTeX
AbstraktAbstract
A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb of proton-proton collision data at collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of 10-20 %. In data, light-quark jets can be tagged with an efficiency of while achieving a gluon-jet mis-tag rate of in a range between and for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.
A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb of proton-proton collision data at collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of 10-20 %. In data, light-quark jets can be tagged with an efficiency of while achieving a gluon-jet mis-tag rate of in a range between and for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.