Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
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Aad, G., Abbott, B., Abdallah, J. et al. Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. Eur. Phys. J. C 77, 490 (2017). [https://doi.org/10.1140/epjc/s10052-017-5004-5]
SponsorshipANPCyT; YerPhI, Armenia; Australian Research Council; BMWFW, Austria; Austrian Science Fund (FWF); Azerbaijan National Academy of Sciences (ANAS); SSTC, Belarus; National Council for Scientific and Technological Development (CNPq); Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); Natural Sciences and Engineering Research Council of Canada; NRC, Canada; Canada Foundation for Innovation; CERN; Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT); Chinese Academy of Sciences; Ministry of Science and Technology, China; National Natural Science Foundation of China; Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government; DNRF, Denmark; Danish Natural Science Research Council; Centre National de la Recherche Scientifique (CNRS); CEA-DSM/IRFU, France; SRNSF, Georgia; Federal Ministry of Education & Research (BMBF); HGF, Germany; Max Planck Society; Greek Ministry of Development-GSRT; Hong Kong Research Grants Council; Israel Science Foundation; I-CORE, Israel; Benoziyo Center, Israel; Istituto Nazionale di Fisica Nucleare (INFN); Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science; CNRST, Morocco; Netherlands Organization for Scientific Research (NWO) Netherlands Government; RCN, Norway; Ministry of Science and Higher Education, Poland; NCN, Poland; Portuguese Foundation for Science and Technology; MNE/IFA, Romania; Russian Federation; NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; Slovenian Research Agency - Slovenia; MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; Swiss National Science Foundation (SNSF); Cantons of Bern and Geneva, Switzerland; Ministry of Science and Technology, Taiwan; Ministry of Energy & Natural Resources - Turkey; Science & Technology Facilities Council (STFC); United States Department of Energy (DOE); National Science Foundation (NSF); BCKDF, Canada; Canada Council, Canada; CANARIE, Canada; CRC, Canada; Compute Canada, Canada; FQRNT; Ontario Innovation Trust, Canada; European Union (EU); European Union (EU) European Research Council (ERC); Horizon, European Union; French National Research Agency (ANR); Region Auvergne-Rhone-Alpes; Fondation Partager le Savoir, France; German Research Foundation (DFG); Alexander von Humboldt Foundation; Herakleitos; Thales programme; Greek Ministry of Development-GSRT; US-Israel Binational Science Foundation; German-Israeli Foundation for Scientific Research and Development; Minerva, Israel; BRF, Norway; Generalitat Valenciana; Royal Society of London; Aristeia programme; Leverhulme Trust
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.