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• W231125324 abstract "The High Luminosity LHC (HL-LHC) is expected to deliver a luminosity in excess of 5×10 cm−2/s. The high event rate places stringent requirements on the trigger system. A key component of the CMS upgrade for the HL-LHC is a track trigger system which will identify tracks with transverse momenta above 2 GeV already at the first-level trigger within 5 μs. This presentation will discuss a proposed track finding and fitting based on the tracklet based approach implemented on FPGAs. Tracklets are formed from pairs of hits in nearby layers in the detector and used in a road search. Summary Fast pattern recognition in Silicon trackers for triggering has often made use of Associative Memories for the pattern recognition step. We propose an alternative approach to solving the pattern recognition and track fitting problem for the upgraded CMS tracker for the HL-LHC operation. We make use of the trigger primitives,stubs, from the tracker. The stubs are formed from pairs of hits in sensors separated radially by a few millimeters. This allows us to place a pT cut on the stub and reject the vast majority of the hits from low pT tracks. In a typical bunch crossing at the HL-LHC we will have approximately 140 proton-proton interactions, producing about 10,000 stubs. The proposed pattern recognition algorithm forms tracklets, seeds for the pattern recognition, by combining pairs of stubs in neighboring layers that are consistent with pT greater than 2 GeV and the tracklet originating from the interaction region. These tracklets are used to define roads where stubs in other layers are added to form the complete track. A linearised χ fit is used to obtain the final track parameters. The implementation of this algorithm on an FPGA is done in sectors,where each sector is processed by one FPGA. In the first implementation of this algorithm we assume a time multiplexing of a factor of 4. In this presentation we will discuss the performance of the track finding algorithm and the resources used in the implementation. Presented at TWEPP 2014 Topical Workshop on Electronics for Particle Physics Preprint typeset in JINST style HYPER VERSION Proposed FPGA Based Tracking for a Level-1 Track Trigger at CMS for the HL-LHC N. Pozzobon∗ Universita degli Studi di Padova e INFN Sezione di Padova, via F. Marzolo 8, 35131, Padova, Italy ∗on behalf of the CMS Collaboration E-mail: nicola.pozzobon@pd.infn.it ABSTRACT: The High Luminosity LHC (HL-LHC) is expected to deliver a luminosity in excess of 5 × 1034 cm−2s−1. The high event rate places stringent requirements on the trigger. A key component of the CMS upgrade for the HL-LHC is a track trigger to identify tracks with transverse momenta above 2 GeV already at the first-level trigger within 5 μs. This presentation will discuss a proposed track finding and fitting based on the “tracklet-based approach” implemented on FPGAs. Tracklets are formed from pairs of hits in nearby layers in the detector and used in a road search." @default.
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• W231125324 date "2014-09-30" @default.
• W231125324 modified "2023-09-24" @default.
• W231125324 title "Proposed FPGA based tracking for a Level-1 track trigger at CMS for the HL-LHC" @default.
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