Loïc Quertenmont
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dE/dx feedbacks to Simulation PowerPoint PPT Presentation


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Loïc Quertenmont Université catholique de Louvain & FNRS Center for Particle Physics and Phenomenology (CP3) 30 April 2010. dE/dx feedbacks to Simulation. dE/dx Estimator. DataSets /MinimumBias/Commissioning10-Apr1Skim_GOODCOLL-v1/RAW-RECO (run<132514)

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dE/dx feedbacks to Simulation

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De dx feedbacks to simulation

Loïc Quertenmont

Université catholique de Louvain & FNRSCenter for Particle Physics and Phenomenology (CP3)

30 April 2010

dE/dx feedbacks to Simulation


De dx estimator

Loïc Quertenmont - [email protected]

dE/dx Estimator

  • DataSets

    • /MinimumBias/Commissioning10-Apr1Skim_GOODCOLL-v1/RAW-RECO (run<132514)

    • /MinimumBias/Commissioning10-GOODCOLL-v8/RAW-RECO (run>=132514)

    • /MinBias/Spring10-START3X_V26A_356ReReco-v1/GEN-SIM-RECO

  • RunRegistry + JSON (CRAB 2.7.2_pre1)

    • JSON file from Run Registry (PIX+TRK GOOD (and NO SCAN) + COLLISION)

    • {"133029": [[101, 115], [129, 350]], "132661": [[1, 130]], "132662": [[1, 130], [132, 165]], "132599": [[1, 379], [381, 538]], "132440": [[157, 401]], "132596": [[382, 383], [447, 453]], "132605": [[1, 444], [446, 622], [624, 829], [831, 968]], "132602": [[1, 83]], "132601": [[1, 207], [209, 259], [261, 1131]], "132959": [[1, 276], [278, 417]], "133158": [[65, 786]], "132606": [[1, 37]], "133036": [[1, 225]], "133034": [[131, 325]], "133035": [[1, 306]], "133031": [[1, 18]], "132968": [[1, 173]], "132659": [[1, 84]], "132658": [[1, 177]], "132965": [[1, 107]], "132961": [[1, 427]], "132716": [[220, 591], [593, 640]], "132960": [[1, 190]], "132598": [[80, 82], [174, 188]], "132656": [[1, 140]], "133321“ : [[1, 383]], "133046": [[1, 43], [45, 323]]} Event Selection:

    • Bit 41 AND 0 AND NOT (36 OR 37 OR 38 OR 39) AND NOT (42, 43)

    • Good Vertex  6.5MEvents

  • Track Selection

    • General Tracks, high purity, |dxy|<2, |dz|<15, 12SSHit

    •  95M Tracks


De dx estimator1

Loïc Quertenmont - [email protected]

dE/dx Estimator

Distribution of the dEdx estimator before/after particle gain calibration

 Clearly something is missing in simulation for very low dEdx (<1MeV/cm)

MC: Particle CalibrationData: Particle Calibration

MC: UncalibratedData: Thickmark Calibration


De dx estimator vs p

Loïc Quertenmont - [email protected]

dE/dx Estimator Vs P

  • Small differences in the fit on the proton line (AFTER calibration)

  • Current hypothesis is that saturation effect can be different in MC w.r.t. Data

  • I also suspect that the shape of the Charge Distribution can be different (at module level  never shown so far)

DATA

MC


De dx mass reconstruction

Loïc Quertenmont - [email protected]

dE/dx Mass Reconstruction

  • Suppression of Deuterons in MC

    • PYTHIA do not produce any Deuterons

    • Suspect Geant4 can also no produce enough deuterons…


Count particles

Loïc Quertenmont - [email protected]

Count Particles

MC

DATA

Defines 5 Mass Regions for particles with dEdx>5MeV/cm:Pions: M=[0.00,0.35] GeV/c²Kaons:M=[0.35,0.75] GeV/c²Protons:M=[0.75,1.30] GeV/c²Deuterons:M=[1.30,2.20] GeV/c²HigherMassM=[2.20,infin] GeV/c²

Regions may differs between Data and MC. Since constants K/C are used to delimit the region.


Count particles1

Loïc Quertenmont - [email protected]

Count Particles

MC

DATA

There is: 2.05 times more events in data than in MCand 1.87 times more tracks in data than in MCBut we count 2.55 times more kaons in data than in MCBut we count 2.60 times more protons in data than in MCBut we count 11.6 times more deuterons in data than in MC


Count particles2

Loïc Quertenmont - [email protected]

Count Particles

RATES Kaon/Protons:Rates MC: 0,15942Rates Data: 0,15627Rates Data / Rates MC = 1,0202

 2% more Kaons in data than in MC w.r.t. Protons

All these results are very raw results:

No efficiency taken into account, and so on…SO these numbers shouldn’t be considered to strictly, but just as an indication…


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