Note: The prefilters applied pre-filters and MC samples in this analysis (while are consistent throughout the page) are not the same as those applied by Bill with the analysis Eric was performing; however, they are significantly different from the data sets and pre-filters Bill applied in designing the Pass6 and Pass7 analyses. There is For example, these data sets have no cut on FswGamState == 0 and the IrrFilter is different (and almost certainly having unintended consequences).
Introduction
I've gone back to Eric's old page with the hope of picking up where he left off. Of course, this leads to the always enjoyable task of replicating the work that he has already done. The working directory for the previous analysis is:
...
Name | Purpose | Gamma Efficiency | Bkg Efficiency | Cut | ||
|---|---|---|---|---|---|---|
IrrFilter | Remove irreducible bkg events | 0% | 13% |
| ||
TkrCalCore | Take only "good" events | 6.2% | 2.2% |
| ||
AcdEngFilter | Only events with moderate signal in the ACD | 0% | 47% |
| ||
Prefilter | Only select relevant events | 6.2% | 1.2% |
|
| nSig | nBkg |
|---|---|---|
Before Prefilters | ~9x10^5 | ~4x10^6 |
After Prefilters | 55015 | 48614 |
One very important thing to note here is how confusing the convention of "Cuts" and "Filters" is. There needs to be some standard convention for either keeping or rejecting events that return TRUE for a selection (I believe that Bill uses "Cuts" and "Vetos").
Pass 6 Performance
First defining some ACD variables:
...