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Muon Trigger CSC Plots

Figure 1: L1 geometrical acceptance in the eta-phi plane.

Figure 2: Eta dependence of barrel L1 trigger efficiency for single muons with fixed pT =75 GeV.

Figure 2: Phi dependence of barrel L1 trigger efficiency for single muons with fixed pT =75 GeV.

Figure 3: L1 barrel efficiency as a function of pT for high-pt thresholds.

Figure 3: L1 barrel efficiency as a function of pT for low-pt thresholds.

Figure 4: The end-cap trigger efficiency curves for high pT thresholds of 11, 20 and 40 GeV.

Figure 4: The end-cap trigger efficiency curves for high pT thresholds of 6, 8 and 10 GeV.

Figure 5: dependency of end-cap trigger efficiency for mu20. The solid circles represent q*eta > 0, the open circles represent q*eta < 0.
Figure 5: dependency of end-cap trigger efficiency for mu6. The solid circles represent q*eta > 0, the open circles represent q*eta < 0.

Figure 6: dependency of end-cap trigger efficiency at plateau for mu20. The solid circles represent q*eta > 0, the open circles represent q*eta < 0.
Figure 6: dependency of end-cap trigger efficiency at plateau for mu6. The solid circles represent q*eta > 0, the open circles represent q*eta < 0.

Figure 7: dependence of end-cap trigger efficiency for mu6 for muons with pT = 45 GeV. The open circles show the efficiency at threshold and the solid circles show the efficiency at plateau.
Figure 7: dependence of end-cap trigger efficiency for mu20 for muons with pT = 45 GeV. The open circles show the efficiency at threshold and the solid circles show the efficiency at plateau.

Figure 8: 1/pT resolution (Muon Spectrometer StandAlone) as a function of pT.

Figure 8: 1/pT resolution (Muon Spectrometer StandAlone) as a function of eta - phi_ Loc.

Figure 9: muFast efficiency with respect to L1 selection for the mu4, mu6, and mu20 triggers for different eta regions.

Figure 10: Efficiency of muFast as a function of eta for muons with pT = 6 GeV.

igure 10: Efficiency of muFast as a function of phi_Loc for muons with pT = 6 GeV.

Figure 11: The muon combined 1/pT resolution as a function of pT.

Figure 11: The muon combined 1/pT resolution as a function of eta - phi_ Loc.

Figure 12: The muComb algorithm efficiency with respect to mu4, mu6, and mu20 triggers for the different eta regions.

Figure 13: Efficiency of muComb as a function of eta for single muons with pT = 6GeV.

Figure 13: Efficiency of muComb as a function of phi_Loc for single muons with pT = 6GeV.

Figure 19: Expected EF rates at L = 10^31 cm^-2 s^-1 for single muon processes as a function of muon pT threshold integrated over |eta | < 2.4.

Figure 20: Barrel-Endcap fake dimuon trigger probabilities without (a) and with (b) using the overlap handling of the MuCTPI.

Figure 21: Event Filter efficiency for prompt muons and muons from pion decays as a function of the cut on some discriminating variables.

Figure 22: EF efficiency as a function of pT for different rejection cuts for minimum bias events.Each efficiency curve shows the data reduction obtained by the addition of the corresponding cut to the overall selection procedure. The specific values of the cuts are discussed in the text.

Figure 22: EF efficiency as a function of pT for different rejection cuts for muons from single pion decays. Each efficiency curve shows the data reduction obtained by the addition of the corresponding cut to the overall selection procedure. The specific values of the cuts are discussed in the text.

Figure 22: EF efficiency as a function of pT applying rejection cuts for minimum bias events. The pi/K contribution has been separated. The specific values of the cuts are discussed in the text.

Figure 22: EF efficiency as a function of pT for different rejection cuts for prompt muons. Each efficiency curve shows the data reduction obtained by the addition of the corresponding cut to the overall selection procedure. The specific values of the cuts are discussed in the text.

Figure 23: The total transverse energy contained within a cone of increasing radius around the muon candidate track from Z->mumu signal events in the LAr calorimeter (left) and Tile calorimeter (right). The different curves on each figure correspond to different thresholds applied on the cell energy.

Figure 24: Most powerful variables for calorimetry-based muon isolation. Number of LAr cells above threshold in the outer ring

Figure 24: Most powerful variables for calorimetry-based muon isolation. Transverse energy sum in the outer ring of LAr.

Figure 24: Most powerful variables for calorimetry-based muon isolation. Transverse energy sum in the Tile in the outer ring

Figure 24: Most powerful variables for calorimetry-based muon isolation. Isolation variable in Tile calorimeter

Figure 25: Background rejection (1/BG), as a function of the signal efficiency as obtained in the muon isolation algorithm optimization procedure.

Figure 25: 1 - BG (Background), as a function of the signal efficiency as obtained in the muon isolation algorithm optimization procedure.

Figure 26: Efficiency as a function of eta for TrigTileLookForMu (filled circles) and TrigTileRODMu (open squares) using single muon events.

Figure 26: Efficiency as a function of phi for TrigTileLookForMu (filled circles) and TrigTileRODMu (open squares) using single muon events.

Figure 26: Efficiency as a function of pT for TrigTileLookForMu (filled circles) and TrigTileRODMu (open squares) using single muon events.

Figure 27: Efficiency as a function of eta for TrigTileLookForMu (filled circles) and TrigTileRODMu (open squares) in bb-->mu(6)X events.

Figure 27: Efficiency as a function of pt for TrigTileLookForMu (filled circles) and TrigTileRODMu (open squares) in bb-->mu(6)X events.

Figure 27: Efficiency of TrigTileLookforMu for Minimum Bias + pileup events at low luminosity (filled circles) and without pileup (open squares).

Figure 28: Fraction of fakes as a function of eta for TrigTileLookForMu (filled circle) and for TrigTileRODMu (open squares) in bb-->mu6X events.

Figure 28: Fraction of fakes as a function of phi for TrigTileLookForMu (filled circle) and for TrigTileRODMu (open squares) in bb-->mu6X events.

Figure 28: Fraction of fakes of TrigTileLookForMu in samples with (filled circles) and without pileup (open squares).

Figure 29: Efficiency as a function of pT for the muons tagged by only TileCal (TileLookForMu) and the muons combined with the associated track.

Figure 29: The number of tracks within the given RoI for bb->mu4X

Figure 29: The number of tracks within a fixed RoI of size 0.1 x 0.2 for bb-->mu6X with/without pileup.

Figure 30: Illustration of the Tag and Probe method.

Figure 31: The muon trigger efficiency for each trigger level as a function of in the low luminosity scenario using the ID-Probe. The efficiencies determined with the Tag and Probe method are compared to those calculated in a Monte Carlo truth-based analysis.

Figure 31: The muon trigger efficiency for each trigger level as a function of in the low luminosity scenario using the ID-Probe. The efficiencies determined with the Tag and Probe method are compared to those calculated in a Monte Carlo truth-based analysis.

Figure 32: The muon trigger efficiency for each trigger level as a function of in the low luminosity scenario using the MS-Probe. The efficiencies determined with the Tag and Probe method are compared to those calculated in a Monte Carlo truth-based analysis.

Figure 32: The fractional efficiency difference for each trigger level as a function of in the low luminosity scenario using the MS-Probe. The efficiencies determined with the Tag and Probe method are compared to those calculated in a Monte Carlo truth-based analysis.

Figure 33: Muon trigger fractional efficiency difference determined by the Tag and Probe method and by the Monte Carlo truth-based analysis in the high luminosity scenario using the ID-Probe.

Figure 33: The fractional efficiency difference for each trigger level as a function of in the high luminosity scenario using the ID-Probe. The efficiencies determined with the Tag and Probe method are compared to those calculated in a Monte Carlo truth-based analysis.


Major updates:
-- MichelaBiglietti - 14 Jan 2009

Responsible: MichelaBiglietti
Last reviewed by: Never reviewed

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