Hi all,

as discussed at the last vub-recoil meeting, I have performed a few checks that 
can help un in choosing a model for our pdf.

The first check is related to the systematic variation in the event yield when 
varying the fit parameters within their errors. As implementing this in VVF is 
quite lengthy and bug-prone, I did the check using our standalone macros. I let 
floating the parameters that I usually keep fixed, to get an idea of their 
possible variation, and then performed mES fits fixing the parameters to their 
values+error and values-error. I did that for leptonic cuts and all analysis cuts, 
on run4 and run12 generic MC, using both models (argus+CrystalBall, 
argus+Frankenstein).

All the variations I see are below the % level, with just one exception: the 
variation on the parameter alpha (of the Frankenstein model) on run12, allcuts, 
induces a 1% variation in the signal yield.
The CrystalBall behaves in much the same way, variations below the percent level, 
just less parameters!

The second check is about the effect of generated versus reconstructed number of 
events/efficiencies for different truthmatching flavours. I produced a table using 
  Kerstin's algorithms #3 and #6 (described in 
http://www.slac.stanford.edu/~petrella/truthm/R18/truthmatching.html along with #4 
and several others). Here is the result (for some reason, the run5 job crashed for 
#3):

Algorithm #3:

      Nu true     Nu
R12  753 +- 29   799 +- 32 +- 61
R3   191 +- 15   216 +- 17 +- 35
R4   681 +- 28   685 +- 27 +- 65
R5

      Nsl true   Nsl
R12  130860     131672 +- 386
R3    38263      38489 +- 210
R4   134021     134584 +- 390
R5

      Eps_mx*Eps_u true   Eps_mx*Eps_u
R12  0.435172            0.435955
R3   0.433593            0.4312
R4   0.411164            0.410868
R5

Algorithm #6:

      Nu true     Nu
R12  791 +- 30   888 +- 34 +- 68
R3   203 +- 15   217 +- 16 +- 36
R4   707 +- 28   688 +- 28 +- 67
R5   664 +- 28   704 +- 30 +- 66

      Nsl true   Nsl
R12  149973     151190 +- 415
R3   43942       44207 +- 225
R4   154949     155944 +- 421
R5   155067     154668 +- 419

      Eps_mx*Eps_u true   Eps_mx*Eps_u
R12  0.421148            0.421738
R3   0.413058            0.4118
R4   0.380224            0.379475
R5   0.350562            0.351446


I would conclude by saying that these results support our idea of moving to the 
argus+Frankenstein model.

All the best,

Roberto