000830388 001__ 830388
000830388 003__ SzGeCERN
000830388 005__ 20180529220425.0
000830388 0248_ $$aoai:cds.cern.ch:830388$$pcerncds:FULLTEXT$$pcerncds:CERN:FULLTEXT$$pcerncds:CERN
000830388 035__ $$9Inspire$$a1196411
000830388 037__ $$aATL-DAQ-CONF-2005-011
000830388 041__ $$aeng
000830388 088__ $$aATL-COM-DAQ-2005-011
000830388 100__ $$aSchiavi, C
000830388 245__ $$aFast Tracking for the Second Level Trigger of the ATLAS Experiment Using Silicon Detectors Data
000830388 260__ $$c2005
000830388 269__ $$aGeneva$$bCERN$$c2005
000830388 300__ $$amult. p
000830388 520__ $$aOnline track reconstruction is an important ingredient for event selection at Large Hadron Collider (LHC) experiments. In the ATLAS experiment the first stage where this goal will be achievable is the software-based Second Level Trigger (LVL2). In this contribution we present an algorithm for fast pattern recognition and reconstruction of charged tracks and of the primary vertex in the framework of the High Level Trigger (HLT) of ATLAS. The pattern recognition makes extensive use of Monte Carlo Look Up Tables to quickly identify, in the innermost layers of the ATLAS silicon detectors, triplets of space points reconstructed from hits produced by the same track. The reconstruction strategy is compared, in the ATLAS LVL2 framework, with an alternative tracking algorithm, showing the complementarity of the two approaches. The algorithm’s performance is presented for different event topologies and luminosities, showing good tracking capabilities and uniform results with mean execution times which are compatible with the LVL2 requirements.
000830388 540__ $$3Preprint$$aCC-BY-4.0
000830388 594__ $$aCONF
000830388 595__ $$aCERN EDS
000830388 65017 $$2SzGeCERN$$aDetectors and Experimental Techniques
000830388 65027 $$2SzGeCERN$$aDAQ and Trigger
000830388 6531_ $$9CERN$$aTrigger
000830388 6531_ $$9CERN$$aHLT
000830388 6531_ $$9CERN$$aTracking
000830388 690C_ $$aCERN
000830388 690C_ $$aCERN Internal Note
000830388 690C_ $$aINTNOTE
000830388 690C_ $$aINTNOTEATLASPUBL
000830388 690C_ $$aPUBLATLAS
000830388 693__ $$aCERN LHC$$eATLAS
000830388 700__ $$aCervetto, M
000830388 700__ $$aParodi, F
000830388 700__ $$aKostantinidis, N
000830388 700__ $$aSutton, M
000830388 700__ $$aBaines, J T M
000830388 700__ $$aEmeliyanov, D
000830388 700__ $$aDrevermann, H
000830388 710__ $$5PH-EP
000830388 711__ $$a2004 IEEE Nuclear Science Symposium And Medical Imaging Conference
000830388 859__ [email protected]
000830388 8564_ $$uhttp://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-011$$yAccess to fulltext
000830388 8564_ $$uhttps://cds.cern.ch/record/830388/files/daq-conf-2005-011.pdf$$yAccess to fulltext
000830388 8564_ $$uhttps://cds.cern.ch/record/830388/files/daq-conf-2005-011.ps.gz$$yAccess to fulltext
000830388 8564_ $$uhttps://cds.cern.ch/record/830388/files/poster.pdf$$yAccess to fulltext
000830388 916__ $$sn$$w200514
000830388 960__ $$a91
000830388 961__ $$c20070710$$h2157$$lCER01$$x20050401
000830388 963__ $$aPUBLIC
000830388 962__ $$b684958$$nrome20041016
000830388 970__ $$a002517150CER
000830388 980__ $$aINTNOTEATLASPUBL
000830388 980__ $$aPreprint
000830388 980__ $$aConferencePaper