1. Tracking Variable Study
Surf’n’Turf
Friday the 13th
Ryan Kelley
Boris Mangano
Vivek Sharma

2. Purpose
The purpose of this study is to look at tracking variables in order to determine which tracks are ‘good’ and which are ‘fakes’.
Basically, what is a good set of cuts to use (for example isolation studies)?

3. Define matched vs. unmatched
Loop through all recoTracks in the event and use the RecoToSimAssociator function (associate by hits) in CMSSW to determine if this track is matched to a generator level particle.
If there is no genTrack associated, then it is an unmatched or fake recoTrack.

4. Tracking Variables Considered
GenTrack PT < 1 GeV cut.
Don’t understand the two ‘towers’.
Most Powerful Cut-- hits > 7.

5. Tracking Variables Considered
Sharp peak between d0 < 1mm.
Fakes are very spread.
Similar spread for both matched and unmatched.
z0 < 30 cm doesn’t really give you anything.

6. Tracking Variables Considered
Factor of 10 difference and increasing from 2 > 10.

7. Z (Matched)

8. Z (Unmatched)

9. QCD (Matched)

10. QCD (Unmatched)
Need to run on a larger sample

11. Ratio of all tracking cuts to no cuts

12. Things to do
Try reverse matching: Defined unmatched as a GenTrack that doesn’t have a RecoTrack.
What are the eta towers.
Run on larger towers.
Try to cut on expected hits instead of total hits--some of the  regions have more layers than others. A hard number may be not work well the regions with fewer layers.

13. || < 1 cut