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Fast Pixel Simulation

Fast Pixel Simulation. Howard Wieman, Xiangming Sun Lawrence Berkeley Lab. outline. Approximation Processes in simulation Cut set and cut optimization Compare between detectors Summary. Approximation. track: hits in two pixel layer build a line. Primary vertex. layer2. layer1.

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Fast Pixel Simulation

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  1. Fast Pixel Simulation Howard Wieman, Xiangming Sun Lawrence Berkeley Lab

  2. outline Approximation Processes in simulation Cut set and cut optimization Compare between detectors Summary

  3. Approximation track: hits in two pixel layer build a line Primary vertex layer2 layer1 100% TPC match efficiency 100% tracking efficiency 5% momentum resolution Perfect PID

  4. Processes in simulation D0 generation and decay Position dispersion in two layers for secondary particles (pixel resolution) Coulomb scattering in layer1 Background generation analysis

  5. DCA Distributions for primary particle Compare DCA distribution between fast simulation and Geant in STAR. The agreement shows the approximation is reasonable

  6. Cut set Cosθ cut kaon DCA to Primary Vertex pion DCA to Primary Vertex DCA between kaon and pion Kaon and pion DCA to Primary Vertex cut is set the same value in the analysis η cut -1,1 Invariant mass cut 1.6 GeV, 2.2 GeV

  7. Cut optimization CDR cuts: Cosθ cut >0.98 kaon DCA to Primary Vertex >50um pion DCA to Primary Vertex >50um DCA between kaon and pion <50um Significance=S/sqrt(S+B) S signal ;B background How Significance varies with cuts? fast simulation allows to do this

  8. Cut optimization Significance distribution with cut at 500MeV for PIXEL

  9. Cut optimization Optimized cut value for PIXEL

  10. Compare between detectors hybrid equ. pixel size r 50 um equ. pixel size z 450 um Radiation length 1.413% PIXEL equ. pixel size r 27 um equ. pixel size z 27 um Radiation length 0.583% Cut optimization is treated on hybrid detector too The significance ratio between two detectors is compared

  11. Compare between detectors After optimization significance ratio is very high The significance ratio increase with D0 momentum at 0.5-1.5 GeV tracking efficency ratio 76.5%

  12. Summary Fast simulation generates similar DCA distribution with STARsim. The basic idea is reasonable. Cut optimization gives significance improvement of a factor of 3.7 in 500 MeV D0. 2.2 for 1.5 GeV Comparing between PIXEL and hybrid with the cut optimization, significance ratio is 4.6 for 500 MeV D0, 11 for 1.5 GeV(include tracking efficiency)

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