All loose histograms only employ basic cut.
List of all tight cuts:
| Cut | Definition |
| Basic (Minbias) | nPrim=2, nTot=2, qTot=0 |
| Basic (Topology) | nPrim=2, nTot=2, qTot=0, p5>10, p5!=20 |
| allrapid | 0.1 < y < 1.0 |
| masscut | 0.55 < mInv < 0.92 |
| vertex | abs(zVertex) < 50, abs(rVertex) < 8 |
Efficiency is defined as the (tight) data histogram divided by the corresponding monte carlo histogram.