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D0 K, simulation

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Cuts optimisation. Comparison of MAPS and HYBRID detectors. Trigger feasibility study ... Cuts optimisation. Impact Parameter cut: (70 m IP 500 m); Z-vertex for D0 ... – PowerPoint PPT presentation

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Title: D0 K, simulation


1
D0 ?K-,? simulation
I.Vassiliev (GSI) CBM collaboration meeting
09-Mar-05
  • Simulation tools (cbmroot v04) geometries
  • Signal and Background simulation
  • Tracking Vertexing in the Magnetic Field
  • Variables and cuts. Cuts optimisation
  • Comparison of MAPS and HYBRID detectors
  • Trigger feasibility study
  • Outline

2
Simulation tools (cbmroot v04) geometries
  • CBM framework version 04
  • 3 first Sts in the vacuum
  • "MAPS" (100 ?m) and "HYBRID" (700 ?m thickness)
    first two station geometries with various pixels
    size (35x35, 350x50 ?m)
  • 7 stations at 5, 10, 20, 40, 60, 80, 100 cm
  • stations 37 200 ?m (strip like)
  • single Au target 250 ?m,
  • GEANT3, UrQmd (central at 25 GeV) and D0 ?K-,?
    (V.Friese) generators
  • Tracking and vertexing (I.Kisel S.Gorbunov) in
    the Magnetic Field

3
Signal and Background simulation
  • Signal 105 events D0 ?K-,?

4
Signal and Background simulation
  • Background 104 UrQmd events

5
Tracking Vertexing
  • by I.Kisel S.Gorbunov
  • ReadEvent()
  • //Geometries, materials, etc.
  • Sts(MAPS,Hybrid, Strip) HitsProducer()
  • FitMC()
  • IdealTrackFinder
  • PrimaryVertexFinder
  • FitPerformance()
  • UserEventAnalysis()

6
Tracking Vertexing
  • ReadEvent()
  • Geometries, materials, etc.
  • Sts(MAPS,Hybrid, Strip) HitsProducer()
  • FitMC()
  • IdealTrackFinder
  • PrimaryVertexFinder
  • FitPerformance()
  • UserEventAnalysis()

7
Tracking Vertexing
  • ReadEvent()
  • Geometries,
  • materials, etc.
  • Sts(MAPS,Hybrid,
  • Strip) HitsProducer()
  • FitMC()
  • IdealTrackFinder
  • PrimaryVertexFinder
  • FitPerformance()
  • UserEventAnalysis()

c? 123 µm
8
Tracking Vertexing
  • Event Analysis
  • Event Topology (MC), Event Reconstruction
  • (Primary tracks vertex, search K0S ? ?- ?-
    D0)

9
Tracking Vertexing
  • Event Analysis
  • Event Topology (MC), Event Reconstruction
  • (Primary tracks vertex, search K0S ? ? - ?
    - D0)

10
Variables and cuts. Cuts optimisation
  • Impact Parameter cut
  • (70 ?m lt IP lt 500 ?m)
  • Z-vertex for D0 ?K-,?
  • (Z2 gt 250 ?m)
  • P D0 pointing to the
  • Primary Vertex (30 ?m)
  • Pt K-,? gt 0.5 (0.45) GeV
  • P K-,? gt1.5 GeV
  • ?2 lt 5 for the
  • Secondary vertex

11
Variables and cuts. Cuts optimisation
  • Impact Parameter cut
  • (70 ?m lt IP lt 500 ?m)
  • Z-vertex for D0 ?K-,?
  • (Z2 gt 250 ?m)
  • P D0 pointing to the
  • Primary Vertex (30 ?m)
  • Pt K-,? gt 0.5 (0.45) GeV
  • P K-,? gt1.5 GeV
  • ?2 lt 5 for the
  • Secondary vertex

12
Variables and cuts. Cuts optimisation
  • Impact Parameter cut
  • (70 ?m lt IP lt 500 ?m)
  • Z-vertex for D0 ?K-,?
  • (Z2 gt 250 ?m)
  • P D0 pointing to the
  • Primary Vertex (30 ?m)
  • Pt K-,? gt 0.5 (0.45) GeV
  • P K-,? gt1.5 GeV
  • ?2 lt 5 for the
  • Secondary vertex

13
Variables and cuts. Cuts optimisation
  • Impact Parameter cut
  • (70 ?m lt IP lt 500 ?m) Z-vertex for D0 ?K-,?
  • (Z2 gt 250 ?m)
  • P D0 pointing to the
  • Primary Vertex (30 ?m)
  • Pt K-,? gt 0.5 (0.45) GeV
  • P K-,? gt1.5 GeV
  • ?2 lt 5 for the
  • Secondary vertex

14
Trigger feasibility study
103 events mix events UrqmdD0 ?K-,?
  • No Particle ID
  • realistic tracking
  • and vertexing
  • 400 (1000) reduction factor
  • 1.510-4 D0 per event with
  • BR3.65
  • 900 charged hadrons per event

15
Variables and cuts. Cuts optimisation
  • Impact Parameter cut
  • (70 ?m lt IP lt 500 ?m)
  • Z-vertex for D0 ?K-,?
  • (Z2 gt 250 ?m)
  • P D0 pointing to the
  • Primary Vertex (30 ?m)
  • Pt K-,? gt 0.5 (0.45) GeV
  • P K-,? gt1.5 GeV
  • ?2 lt 5 for the
  • Secondary vertex

16
Variables and cuts. Cuts optimisation
  • Impact Parameter cut
  • (70 ?m lt IP lt 500 ?m)
  • Z-vertex for D0 ?K-,?
  • (Z2 gt 250 ?m)
  • P D0 pointing to the
  • Primary Vertex (30 ?m)
  • Pt K-,? gt 0.5 (0.45) GeV
  • P K-,? gt1.5 GeV
  • ?2 lt 5 for the
  • Secondary vertex

17
Trigger feasibility study
103 events mix events UrqmdD0 ?K-,?
  • No Particle ID
  • realistic tracking
  • and vertexing
  • 400 (1000) reduction factor
  • 1.510-4 D0 per event with
  • BR3.65
  • 900 charged hadrons per event

18
Trigger feasibility study
19
Outline
  • Track fitting in the Magnetic Field is
    available
  • Various Sts detector configurations have been
    studied
  • MC simulation shows feasibility to measure D0
    ?K- ?
  • Developed cuts allows to create the L1 Trigger
    model with RF 1000
  • Hybrid pixel size is critical for the D0
    detection
  • Next steps
  • Track finding
  • D MC simulation
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