I’ve started to look at soft muons in the MC samples that we have.  For now, I’m only looking at generator-level soft muons.  I’ve put in a Pt cut of 1 < Pt(Muon) < 20.

First, here’s a look at the signal-to-noise ratio for various bins of (Number of track/pi0 clusters), (number of soft leptons), (number of soft leptons that are overlapping clusters).  I’ve previously looked at these numbers using only soft electrons.  As expected, the numbers are about 50% better when both types of leptons are included:

Obviously, this plot isn’t entirely useful without actual number of expected events, so those are below.  These numbers are for Cut Set 1 (Met > 20, Ht > 100, 1 cluster with Pt > 10), but as you can see above, Cut Set 3 (Met>20, Ht > 100, 2 clusters with Pt > 15, 10) is very similar.  Cut Set 2 (Met>20, 2 jets with Pt > 10, 5) doesn’t look at good in this view since it uses jets instead of clusters.  I’ll look at Cut Set 4 (which includes the N(live) cut that Dan was working on) later.

I’ve removed all of the categories in which fewer than one signal event is expected.  As you can see, requiring multiple soft leptons greatly increases the expected S/N.  This may be worth incorporating into the base cut sets.
Here’s another plot that looks very interesting: The Delta(R) between the soft leptons in each event.  The peak when two nearby taus both decay leptonically is clear:

We can’t cut on this, (notice that that peak is 25% of the events that have at least two soft leptons) but it looks excellent for use in a likelihood.  This plot might be improved a bit by only looking at leptons outside of jets.  The soft leptons in t-tbar events are probably coming from the b-jets.  I’ll also look at taking conversions out of this sample.

Scott