000600627 001__ 600627
000600627 005__ 20231221211937.0
000600627 0247_ $$2INSPIRETeX$$aATLAS:2023urn
000600627 0247_ $$2inspire$$ainspire:2692645
000600627 0247_ $$2datacite_doi$$a10.3204/PUBDB-2023-08050
000600627 037__ $$aPUBDB-2023-08050
000600627 041__ $$aEnglish
000600627 088__ $$2Atlas$$aATL-PHYS-PUB-2023-022
000600627 1001_ $$0P:(DE-HGF)0$$aATLAS Collaboration$$b0$$eCollaboration author
000600627 245__ $$aClustering and Tracking in Dense Environments with the ATLAS Inner Tracker for the High-Luminosity LHC
000600627 260__ $$c2023
000600627 300__ $$a29
000600627 3367_ $$2DRIVER$$areport
000600627 3367_ $$2ORCID$$aREPORT
000600627 3367_ $$010$$2EndNote$$aReport
000600627 3367_ $$2DataCite$$aOutput Types/Report
000600627 3367_ $$0PUB:(DE-HGF)29$$2PUB:(DE-HGF)$$aReport$$breport$$mreport$$s1703160668_12806
000600627 3367_ $$2BibTeX$$aTECHREPORT
000600627 500__ $$aAll figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PUBNOTES/ATL-PHYS-PUB-2023-022. The authors list may be incomplete!
000600627 520__ $$aDense hadronic environments encountered, for example, in the core of high-transverse- momentum jets, present specific challenges for the reconstruction of charged-particle trajectories (tracks) in the ATLAS inner tracking detectors, as they are characterised by a high density of ionising particles. The energy deposits (clusters) left by these particles in the silicon sensors are more likely to merge with increasing particle densities, especially in the innermost layers of the ATLAS silicon-pixel detectors. This has detrimental effects on both the track reconstruction efficiency and the precision with which the track parameters can be measured. The track reconstruction software for the current ATLAS Inner Detector (ID) relies on dedicated machine-learning based algorithms to amend these problems by identifying merged clusters and estimating the positions of the individual sub-clusters. The new Inner Tracker (ITk), which will replace the ID for the High-Luminosity LHC programme, features an improved granularity due to its smaller pixel sensor size, which is expected to reduce cluster merging rates in dense environments. In this note, a comprehensive study of the clustering and tracking performance in dense environments with a recent ITk layout is presented. Different quantities are studied to assess the effects of cluster merging at the cluster-, track-, and jet-level.
000600627 536__ $$0G:(DE-HGF)POF4-611$$a611 - Fundamental Particles and Forces (POF4-611)$$cPOF4-611$$fPOF IV$$x0
000600627 588__ $$aDataset connected to INSPIRE
000600627 650_7 $$2INSPIRE$$ap p: scattering
000600627 650_7 $$2INSPIRE$$ap p: colliding beams
000600627 650_7 $$2INSPIRE$$asemiconductor detector: pixel
000600627 650_7 $$2INSPIRE$$ajet: transverse momentum
000600627 650_7 $$2INSPIRE$$atransverse momentum: high
000600627 650_7 $$2INSPIRE$$atrack data analysis: efficiency
000600627 650_7 $$2INSPIRE$$acluster: effect
000600627 650_7 $$2INSPIRE$$aparticle: density
000600627 650_7 $$2INSPIRE$$adensity: high
000600627 650_7 $$2INSPIRE$$acharged particle: trajectory
000600627 650_7 $$2INSPIRE$$aATLAS
000600627 650_7 $$2INSPIRE$$atracking detector
000600627 650_7 $$2INSPIRE$$atracks
000600627 650_7 $$2INSPIRE$$aCERN LHC Coll: upgrade
000600627 650_7 $$2INSPIRE$$aprogramming
000600627 650_7 $$2INSPIRE$$amachine learning
000600627 650_7 $$2INSPIRE$$aperformance
000600627 650_7 $$2INSPIRE$$adata analysis method
000600627 650_7 $$2INSPIRE$$anumerical calculations: Monte Carlo
000600627 650_7 $$2autogen$$aCTIDE
000600627 650_7 $$2autogen$$aTRACKING
000600627 693__ $$0EXP:(DE-H253)LHC-Exp-ATLAS-20150101$$1EXP:(DE-588)4398783-7$$5EXP:(DE-H253)LHC-Exp-ATLAS-20150101$$aLHC$$eLHC: ATLAS$$x0
000600627 8564_ $$uhttps://bib-pubdb1.desy.de/record/600627/files/ATL-PHYS-PUB-2023-022.pdf$$yOpenAccess
000600627 8564_ $$uhttps://bib-pubdb1.desy.de/record/600627/files/ATL-PHYS-PUB-2023-022.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000600627 909CO $$ooai:bib-pubdb1.desy.de:600627$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
000600627 9101_ $$0I:(DE-588b)2008985-5$$6P:(DE-HGF)0$$aDeutsches Elektronen-Synchrotron$$b0$$kDESY
000600627 9131_ $$0G:(DE-HGF)POF4-611$$1G:(DE-HGF)POF4-610$$2G:(DE-HGF)POF4-600$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Materie$$lMatter and the Universe$$vFundamental Particles and Forces$$x0
000600627 9141_ $$y2023
000600627 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000600627 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000600627 9201_ $$0I:(DE-H253)ATLAS-20120731$$kATLAS$$lLHC/ATLAS Experiment$$x0
000600627 980__ $$areport
000600627 980__ $$aVDB
000600627 980__ $$aUNRESTRICTED
000600627 980__ $$aI:(DE-H253)ATLAS-20120731
000600627 9801_ $$aFullTexts