Performance of the proposed fast track processor for rare decays at the ATLAS experiment

Erik Brubaker; Catalin Ciobanu; Francesco Crescioli; Monica Dunford; Paola Giannetti; Young Kee Kim; Tony Liss; Mauro Dell'Orso; Giovanni Punzi; Mel Shochet; Giulio Usai; Iacopo Vivarelli; Guido Volpi; Kohei Yorita

doi:10.1109/TNS.2007.913476

Performance of the proposed fast track processor for rare decays at the ATLAS experiment

Erik Brubaker^*, Catalin Ciobanu, Francesco Crescioli, Monica Dunford, Paola Giannetti, Young Kee Kim, Tony Liss, Mauro Dell'Orso, Giovanni Punzi, Mel Shochet, Giulio Usai, Iacopo Vivarelli, Guido Volpi, Kohei Yorita

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

The Fast Track processor (FTK) 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 7-layer sub-detector, including a subset of the pixel and SCT layers. We tested the FTK algorithms using the ATLAS full simulation. 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. B_s⁰ → μ⁺μ^- events are fully simulated together with background 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 B_s⁰ identification. All selection cuts performed by the Event Filter can be easily anticipated at Level-2. We present the B_s⁰ → μ⁺μ^- efficiency gain and related Level-2 rates.

Original language	English
Pages (from-to)	145-150
Number of pages	6
Journal	IEEE Transactions on Nuclear Science
Volume	55
Issue number	1
DOIs	https://doi.org/10.1109/TNS.2007.913476
Publication status	Published - 2008 Feb
Externally published	Yes

Keywords

ATLAS
FTK
Fast track
Trigger

ASJC Scopus subject areas

Nuclear and High Energy Physics
Nuclear Energy and Engineering
Electrical and Electronic Engineering

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10.1109/TNS.2007.913476

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Brubaker, E., Ciobanu, C., Crescioli, F., Dunford, M., Giannetti, P., Kim, Y. K., Liss, T., Dell'Orso, M., Punzi, G., Shochet, M., Usai, G., Vivarelli, I., Volpi, G., & Yorita, K. (2008). Performance of the proposed fast track processor for rare decays at the ATLAS experiment. IEEE Transactions on Nuclear Science, 55(1), 145-150. https://doi.org/10.1109/TNS.2007.913476

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abstract = "The Fast Track processor (FTK) 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 7-layer sub-detector, including a subset of the pixel and SCT layers. We tested the FTK algorithms using the ATLAS full simulation. 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. Bs0 → μ+μ- events are fully simulated together with background 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 Bs0 identification. All selection cuts performed by the Event Filter can be easily anticipated at Level-2. We present the Bs0 → μ+μ- efficiency gain and related Level-2 rates.",

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AU - Brubaker, Erik

AU - Ciobanu, Catalin

AU - Crescioli, Francesco

AU - Dunford, Monica

AU - Giannetti, Paola

AU - Kim, Young Kee

AU - Liss, Tony

AU - Dell'Orso, Mauro

AU - Punzi, Giovanni

AU - Shochet, Mel

AU - Usai, Giulio

AU - Vivarelli, Iacopo

AU - Volpi, Guido

AU - Yorita, Kohei

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AB - The Fast Track processor (FTK) 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 7-layer sub-detector, including a subset of the pixel and SCT layers. We tested the FTK algorithms using the ATLAS full simulation. 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. Bs0 → μ+μ- events are fully simulated together with background 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 Bs0 identification. All selection cuts performed by the Event Filter can be easily anticipated at Level-2. We present the Bs0 → μ+μ- efficiency gain and related Level-2 rates.

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KW - FTK

KW - Fast track

KW - Trigger

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Performance of the proposed fast track processor for rare decays at the ATLAS experiment

Abstract

Keywords

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