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ITTF Vertex Finder Performance Jonathan Gans

ITTF Vertex Finder Performance Jonathan Gans. Standard v. ITTF Vertex Finder 2) Au+Au DATAVertex Finding Comparison ITTF Tracking and Vertex Finding v. Standard Tracking and Vertex Finding 3) pp Embedding Vertex Finding Comparision

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ITTF Vertex Finder Performance Jonathan Gans

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  1. ITTF Vertex Finder PerformanceJonathan Gans • Standard v. ITTF Vertex Finder • 2) Au+Au DATAVertex Finding Comparison • ITTF Tracking and Vertex Finding v. Standard Tracking and Vertex Finding • 3) pp Embedding Vertex Finding Comparision • ITTF pp Vertex Finding v. Standard Tracking and Vertex Finding • 4) The future…

  2. Iterative procedure: Find z seed using global tracks First pass with loose dca cut in xy plane (1cm) and 3d dca cut (10 cm). Second pass using tighter 3D dca cut (2 cm) Final pass using tighter 3D dca cut (0.5 cm) Resolution: Standard algorithm For Gold (x) = (y) = 0.60 cm/N (z) = 0.85 cm/N

  3. No outlier removal! Replace 2 function with robust fitting potential: ITTF Vertex Finder

  4. Au+Au DATAVertex Finding ComparisonITTF Tracking/VF v. Standard Tracks/VF ITTF – Standard X: Mean = -0.0038 cm RMS = 0.2063cm Y: Mean = -.0018 cm RMS = 0.1775 cm Z: Mean = 0.0092 cm RMS = 0.1344 cm ITTF – Standard 0cm 1cm 1cm

  5. Vertex Finding in Proton + Proton For ITTF Finder, algorithm is different Only Fit in One Dimension (z) For Seed Require CTB Match x(z) = -0.304233 cm + -0.00065732 * z y(z) = 0.407226 cm + 0.00012396 * z

  6. Proton Proton Embedding… where the fun begins! Momentum Resolution RECO Single Particle Efficiency Abort Gap Event Vertex Efficiency A lot of hard work!! Special Thanks to: Eric Hjort, Herb Ward, Pablo Yepes, Jan Balewski, Bernd Surrow

  7. Embedded Standard Tracks: ITTF VF v. Standard VF Resolution and Efficiency 1985 Embedded Events ppLMV ITTF ppLMV = 74% Efficient ITTF = 73% Efficient Efficiency Proportional to Multiplicty

  8. Embedded Standard Tracks: ITTF VF v. Standard VF Resolution and Efficiency 1985 Embedded Events ppLMV ITTF

  9. Future and Conclusion Gold: Need to test efficiency with embedding Proton: Performs on par with ppLMV Maybe can be tweaked to outperform ppLMV Multiple Vertices due to pile-up?

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