I started with the 2006 Simulation Jet Trees. Using the ConeJets12 and PythiaJet branches, I associated the detector jets to the nearest pythia jet by distance in eta-phi space.

Using this association, I applied the following cuts to the detector jets:

• -1 < eta1,eta2 < 1
• 10 < pt1
• 7 < pt2

I then calculated the invariant mass spectrum for both the pythia jet pair and the detector jet pair. The following plot shows (M_det - M_pyth)/M_pyth as a function of M_pyth, and the next one shows the 1-d profile.

Figure 1:

Figure 2:

I then divided the simulation sample in half. Using the first half, I produced the following plot of Detector Invariant Mass vs. Pythia Invariant Mass.

Figure 3:

 From this information, I calculated the effects of bin migration on the cross-section. I then used the coefficients to correct the second set of detector dijets. The blue circles are the pythia dijets, the red squares are the detector dijets, and the open circles are the corrected detector dijets. Figure 4.2 shows the ratio of weights in the bins for detector / pythia (black) and corrected detector / pythia (red).

Figure 4.1:

Figure 4.2:

I then took the 2006 jet trees (all from the 2nd Longitudinal period) and compared the data dijets to the pythia and detector dijets from simulation. I normalized the data so that the data and the detector spectra have the same integral. Again, blue is pythia, red is detector, and magenta open diamonds are the data dijets. Figure 5.2 shows the ratio of bin contents for data / MC detector jets.

Figure 5.1:

Figure 5.2:

I then took my coefficients from the comparison between pythia and detector dijets and applied it to the data. The open circles are the corrected data points. Figure 6.2 shows the ratio of bin contents for corrected detector jets / pythia jets.

Figure 6.1:

Figure 6.2: