2010.08.09 PyTune comparison with gamma candidates from dijets: Perugia0 vs. Pro-PT0

Related posts

• Previous comparison for Perigia0 and Tune A
• PyTune comparison with photon candidates: Perugia0 vs. Pro-PT0

Tunes compared

• CDF Tune A
• Perugia0
• Pro-pT0

Event selection

1. di-jets from the cone jet-finder algorithm
2. photon and jet are opposite in phi:
      cos (phi_gamma-phi_jet) < -0.8
3. pt away side jet > 5GeV
4. detector eta of the away side jet: |eta_jet_det| < 0.8
5. data : L2e-gamma triggered events
6. Monte-Carlo: emulated L2e-gamma triggered condition
7. MC scaled to 3.164^pb based on Pythia luminosity (no fudge factors)

Figure 1a: Reconstructed photon candidate pt (L2e-gamma condition simulated in Monte-Carlo)

Figure 1b: Same as Fig. 1 on a linear scale and zoom into low pt

Figure 2: QCD Monte-Carlo yield to pp2006 data ratio

Figure 3: Prompt photon Monte-Carlo yield to pp2006 data ratio

Figure 4: Simulation yield vs. partonic pt (on a linear scale)

Figure 5: Simulation yield vs. partonic pt (log scale)