Status of fast tracking algorithm mdchough
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Status of Fast Tracking Algorithm MdcHough. Guowei YU 8 th March 2006. Outline. Introduction MdcHough Algorithm Results and Discussions Summary. Introduction. Algorithm Developments in MDC Reconstruction Presented by W.D.Li ,Migrated from ATLAS. Purpose Efficient track finding

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Status of Fast Tracking Algorithm MdcHough

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Status of fast tracking algorithm mdchough

Status of Fast Tracking Algorithm MdcHough

Guowei YU

8th March 2006


Outline

Outline

  • Introduction

  • MdcHough Algorithm

  • Results and Discussions

  • Summary


Introduction

Introduction

  • Algorithm Developments in MDC Reconstruction

  • Presented by W.D.Li ,Migrated from ATLAS


Status of fast tracking algorithm mdchough

  • Purpose

  • Efficient track finding

  • Nice transverse momentum resolution

  • High efficiency of track finding at high noise level


Mdchough algorithm

Cosθ=0.83

Cosθ=0.93

Interaction point

MdcHough Algorithm

  • 43 layers,19 axial type

  • |cos|<0.93

  • Cell is near square ~8.1mm


Flow of mdchough

Flow of MdcHough

Initial track finding

MdcHough

Local maximum finding

Hits

PT

Track selection and Merging

Track fitting


Status of fast tracking algorithm mdchough

Initial track finding (use a LUT-base Hough Transform)

(R,)  (,1/pT) [(0~2) pT (400MeV~)]

qCTR=sin (–0) CT= 0.3/pT

Build a wire-ordered look-up table (  1/pT= 300  100)

.

wire n+1

wire n

active wire n-1

wire .

.

Flow of MdcHough


Flow of mdchough1

Local maximum finding (select good track candidates by wired-oreded LUT)

Track selectionand Merging

Nhit > 15

Merge some tracks sharing more than 9 hits

Flow of MdcHough

Flow of MdcHough


Flow of mdchough2

Flow of MdcHough

Flow of MdcHough

  • Track fitting

  • Obtain hits from Bin-ordered LUT

  • Fitting track to get PT by using lpav tool

    .

    bin n+1

    bin n

    bin bin n-1

    number .

    .


Results and discussion

Track Reconstruction CPU Time~ 1ms/1 track

Resolution of PT(1.0GeV )

Generate (PT :1GeV) by Fixpt

Efficiency of Reconstruction () VS cos(polar angular)

Results and Discussion

p=8.0 MeV


Status of fast tracking algorithm mdchough

Efficiency of Reconstruction VS PT( e  p)

Momentum resolution VS PT (μ,e,π,p) Double Gauss Fit


Noise level type 0 c type 1 1 r type 2 1 r 2 p t 1 0gev

Efficiency vs noise

Resolution VS noise

Noise level type 0: = C type 1:  1/r type 2: 1/r2 (PT:1.0GeV )


Summary

Summary

  • It costs about 1ms to reconstruct 1 track

  • Efficiency of reconstruction() :

  •  >99% (PT>300MeV) for single track

  •  >99% when noise level are 5%,10% ,15% and 20%

  •  decrease quickly when polar angular more than 0.8

  • Resolution of momentum(p):

  • PT < 1.0GeVp of proton is more than others

  • PT > 1.0GeVp keeps about same value for all particles

  • p turns badatnoise level is more than 10% in type “0”

  • Same results by adding wires shift;

  • Further work is to enhance  nearpolar angular and test the Algorithm in adjusted magnetic field


Status of fast tracking algorithm mdchough

Thank!


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