Reconstruction versus Simulation

Legend

The plots are designed to answer on the following questions:

• What tracks (globals and primaries) can be considered as "good" ones depending on total no. of fit points and no. of bad hits ?
• What is the track parameters and their errors dependence on the track kinematics (φ, η, 1/pT) ?
• What is the track paramerer pulls dependence on above kinematics ?
• What is the track reconstruction efficiencies for :
• Geometrical acceptance (MC only),
• Reconstruction effiency for track with only match between MC and RC
• Clones, for multiple (>1) match between single MC track to RC one,
• Lost tracks, MC tracks which have no RC partner.
• Ghost tracks, RC tracks which have no MC partner.
• Color scheme:  • Positive and  • Negative Tracks.
• Results of Gauss fit for slices are presented as • for μ and as box for σ.
• Navigations:
  • Global tracks

1. Tracks

1.1. Quality of reconstructed tracks with respect to MC.

1.1.1. Global tracks.

1.1. Quality of reconstructed tracks with respect to MC.

1.1.1. Global tracks.

1.1.1.1 Global tracks. All. No. of fit and bad points.

K_S0	Hijing.2023AuAu200.VMC
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1.1.1.2 Global tracks. All.Track parameters

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1.1.1.2 Global tracks. All.Track parameters

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1.1.1.2 Global tracks. All.Track parameters

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1.1.1.3 Global tracks. Pions. No. of fit and bad points.

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1.1.1.4 Global tracks. Pions.Track parameters

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1.1.1.4 Global tracks. Pions.Track parameters

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1.1.1.4 Global tracks. Pions.Track parameters

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1.1.2. Primary tracks.

1.1.2.1 Primary tracks. All. No. of fit and bad points.

1.1.2.2 Primary tracks. All.Track parameters

1.1.2.2 Primary tracks. All.Track parameters

1.1.2.2 Primary tracks. All.Track parameters

1.1.2.3 Primary tracks. Pions. No. of fit and bad points.

1.1.2.4 Primary tracks. Pions.Track parameters

1.1.2.4 Primary tracks. Pions.Track parameters

1.1.2.4 Primary tracks. Pions.Track parameters