Alignment of the ATLAS Inner Detector in Run 2
MetadataShow full item record
Aad, G., Abbott, B., Abbott, D.C. et al. Alignment of the ATLAS Inner Detector in Run 2. Eur. Phys. J. C 80, 1194 (2020). [https://doi.org/10.1140/epjc/s10052-020-08700-6]
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 (NSERC); 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 (NSFC); 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-DRF/IRFU, France; SRNSFG, Georgia; BMB, Germany; HGF, Germany; Max Planck Society; Greek Ministry of Development-GSRT; RGC, China; Hong Kong SAR, China; Israel Science Foundation; 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; MES of Russia, Russia Federation; NRC KI, Russia 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); Canton of Bern, Switzerland; Canton of Geneva, Switzerland; Ministry of Science and Technology, Taiwan; Ministry of Energy & Natural Resources - Turkey; UK Research & Innovation (UKRI) Science & Technology Facilities Council (STFC); United States Department of Energy (DOE); National Science Foundation (NSF); BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; European Union (EU) European Research Council (ERC); Horizon 2020, European Union; COST, European Union; French National Research Agency (ANR); German Research Foundation (DFG); Alexander von Humboldt Foundation; EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; German-Israeli Foundation for Scientific Research and Development; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society of London; Leverhulme Trust; CRC, Canada; Herakleitos programme; Thales programme; Aristeia programme
The performance of the ATLAS Inner Detector alignment has been studied using pp collision data at s√=13TeV collected by the ATLAS experiment during Run 2 (2015–2018) of the Large Hadron Collider (LHC). The goal of the detector alignment is to determine the detector geometry as accurately as possible and correct for time-dependent movements. The Inner Detector alignment is based on the minimization of track-hit residuals in a sequence of hierarchical levels, from global mechanical assembly structures to local sensors. Subsequent levels have increasing numbers of degrees of freedom; in total there are almost 750,000. The alignment determines detector geometry on both short and long timescales, where short timescales describe movements within an LHC fill. The performance and possible track parameter biases originating from systematic detector deformations are evaluated. Momentum biases are studied using resonances decaying to muons or to electrons. The residual sagitta bias and momentum scale bias after alignment are reduced to less than ∼0.1 TeV−1 and 0.9×10−3, respectively. Impact parameter biases are also evaluated using tracks within jets.