| Title |
The Fast Track Processor Performances for Rare Decays at the ATLAS Experiment |
Submitted |
25-JAN-07 04:28 (UTC -06:00) |
| Classification |
Trigger and Data Acquisition |
Modified |
02-MAY-07 17:58 (UTC -05:00) |
| Session |
PS2C |
Presentation |
Poster |
| Presenter |
Guido Volpi |
Paper ID |
PS2C003 |
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Paper PDF |
Download |
| Author(s) |
Guido Volpi, Mauro Dell'Orso, Paola Giannetti, Jacopo Vivarelli (INFN Pisa, Pisa), Erik Brubaker, Monica Dunford, Young-Kee Kim, Mel Shochet, Giulio Usai, Kohei Yorita (Chicago University, Chicago, Illinois), Francesco Crescioli, Giovanni Punzi (UNIPI, Pisa), Catalin Irinel Ciobanu, Tony Liss (University of Illinois, Urbana) |
| Abstract |
The Fast Track processor (FTK) [1], [2], has been proposed for high quality track finding at very high rates (Level-1 output rates) for the LHC experiments. Fast, efficient and precise pattern recognition has been studied using a silicon 6-layer sub-detector, including a subset of the pixel and SCT layers. We test now the FTK algorithms using the Atlas full simulation. The quality of the event reconstruction is reported for rare decay events Bs->mumu . We compare the FTK reconstruction quality with the tracking capability of the offline iPatRec algorithm. We show that similar resolutions and efficiencies are reached by FTK at a speed higher than iPatRec by orders of magnitude. With FTK full events are reconstructed at the Level-1 output rate. Bs->mumu events are fully simulated together with beackground samples. We show that a low Level-2 rate is allowed by FTK, even using a single 6 GeV Level-1 muon selection trigger. FTK provides the full resolution track list ready for the Level-2 Bs identification. All the selection cuts performed by the Event Filter can be easily anticipated at Level-2. We present the Bs->mumu efficiency gain and related Level-2 rates. |
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Word Count: 189 Character Count: 1158 |
| Footnote |
[1]The fast tracker processor for hadronic collider triggers Annovi,A et al.;IEEE Trans. Vol48
[2]Hadron collider triggers with high-quality tracking at very high event rates Annovi,A et al.;Vol51 |
| Funding Agency |
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