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Studies on stand-alone Si tracking with SVT

Studies on stand-alone Si tracking with SVT. Alberto, Alessandro, Pierluigi. In a scenario with a bigger AM bank we could think about the possibility to store different pattern sets at the same time. Each pattern set is dedicated to different algorithm of pattern recognition.

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Studies on stand-alone Si tracking with SVT

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  1. Studies on stand-alone Si tracking with SVT Alberto, Alessandro, Pierluigi

  2. In a scenario with a bigger AM bank we could think about the possibility to store different pattern sets at the same time. Each pattern set is dedicated to different algorithm of pattern recognition. Here we investigate the possibility to run SVT in the silicon only configuration. A pattern set for the usual silicon+XFT hits and Silicon only patterns

  3. What can we do with silicon only SVT? • Increase  tracking acceptance in the forward regions (||2) potentially useful for high Pt forward leptons… • We would be able to select low Pt tracks below the XFT Pt treshold (2 - 1.5 GeV) in the central region. • Other suggestions?!? Caveat: this is work in progress !!!

  4. Since we have L2 timing constraints (that are going to be more severe…) the first thing we have to do is try to understand if the corresponding workload for SVT is acceptable • In term of workload we intend to evaluate: • The average number of Roads in output from the AM corresponding to the wedge with the maximum # Road per event. • The total number of hit combinations faced by the track fitter in the wedge with maximum # Road per event. • The average number of tracks in output from the TF considering the wedge with the max number of road per event. Feeling for the TF work load The wedge with max # roads-combinations drives the event timing!

  5. SVTsim configuration: • Standalone silicon • Enlarged pattern bank (71K  coverage 97%) • Wider  coverage (-2,2) • 4/5 majority logic • Pt > 2 GeV/c • 1.2 mm beam spot • SS 12-8-8-8-12 • Track GB disabled • Road busting We begin with the loosest configuration… Data from SVT test run 152133

  6. 255 50 82 173 Pattern recognition workload Nroad after ghost Nroad fuori da AMS Ncomb Ntracks

  7. Lepton Matching • Two possibilities: • L2 alpha matches SVT tracks to plug leptons • SVT pattern recognition seeded by plug leptons • Easiest starting point: • Plug muons + SVT track • Evaluate rejection • If ok then test 2. on svtsim

  8. BSU Forward Muon Triggers BSU(F) BSU(R) • BMU * BSU(F) 1<<1.25 • BMU*BSU(R)*TSU 1.25<<1.5 TSU • Studies based on run # 167715: • L2_RL1.3HZ_L1_BMU10_BSUR_TSUO_&_CLC_v-1 (REAR) • L2_RL0.7HZ_L1_BMU10_PT11_v-1 (FRONT)

  9. Matching Performances Rear Front

  10. What’s next • Introduce muons in pattern recognition • Understand matching efficiency • Understand tracking resolution • Further improvements: • Stiffer Pt cut on muons • Appropriate range in eta/Pt for patterns • Narrower beam spot?

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