CA Tracking S.Gorbunov, I.Kisel, M.Pugach FIAS, Frankfurt am Main - - PowerPoint PPT Presentation

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CA Tracking S.Gorbunov, I.Kisel, M.Pugach FIAS, Frankfurt am Main - - PowerPoint PPT Presentation

CA Tracking S.Gorbunov, I.Kisel, M.Pugach FIAS, Frankfurt am Main PANDA collaboration meeting Darmstadt , 7 June 2016 Outline Introduction Cellular Automaton tracking Current Status & Results Summary & Outlook 2


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SLIDE 1

CA Tracking

S.Gorbunov, I.Kisel, M.Pugach

PANDA collaboration meeting
 Darmstadt, 7 June 2016

FIAS, Frankfurt am Main

slide-2
SLIDE 2

Outline

  • Introduction
  • Cellular Automaton tracking
  • Current Status & Results
  • Summary & Outlook

2

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SLIDE 3

Introduction

  • Tracking in forward detectors for the PANDA

experiment is considered in this presentation:

  • MVD (Forward part)
  • FTS
  • Features, Results and Perspectives of the CA

approach are discussed.

3

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SLIDE 4

Cellular Automaton Tracking

Input/Initialisation Tracklet construction Singlets Doublets Triplets Evolution Neighbour Search Track Construction Performance evaluation Parameters Kalman Filter

  • Extrapolation
  • Update

4

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SLIDE 5

Current Status and Results

  • Efficiencies
  • Residuals and Pulls
  • Fitting Approaches
  • Activities

5

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SLIDE 6

Efficiencies

Efficiency,% Ghost/ev Clone/ev Tracks/ev triplets 100 12.5 9.5 1 track candidates 100 71.6 50.5 1 tracks

1000 BoxGenerator events purity=100%

Reconstructable track: >= 3 consecutive MC points

No selection yet because of KF debugging

6

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SLIDE 7

Event Display Reconstructed Tracks

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SLIDE 8

Residuals and Pulls

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SLIDE 9

Fitting Approaches

  • Runge-Kutta 4th order method
  • Standard iterative extrapolation method of the KF.
  • Restricted to one track-model as far as calculations are performed only in the track parameter space.
  • Analytic Formula
  • Direct calculation of the extrapolated parameters.
  • Same precision as the RK4-method.
  • Feature:
  • Extrapolate in the space of physical parameters (e.g. {x,y,z,px,py,pz}) rather than being restricted

to the track model parameters space.

  • Opportunity to perform track model parameters conversion into physical parameters and vice

versa.

  • For example, if a track has to be propagated from a forward detector station to a barrel detector

station the following conversion could be implemented:
 


z,{x,y, tx, ty, q/p} x,{y,z, px, py, pz} x,{y,z,sin(ϕ),Dz/ds, q/pt}

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SLIDE 10

Activities

  • Both track propagation approaches were studied

and have shown almost same results.

  • GenFit fitting package is being explored currently

to compare track fitting quality with other packages.

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SLIDE 11

Summary & Outlook

  • Fwd Mvd tracking almost done (~80%).
  • The obtained experience and code to be

implemented (next week starting) in:

  • Fwd MVD + FTS.
  • FTS standalone (based on I.Kulakov code).

11