These distributions were calculated using information from the QQ vertex common block. One thing to note is that I seem to have a different convention for the sign of deltaGamma than what Harry used to make his lifetime plots in his sensitivity study. This is because I chose the positive solution of A = +-sqrt(R), whereas he chooses the negative solution. This is the same as inverting the sign of deltaGamma.
I also ran this Monte Carlo with the same combinations of x and y but with
B/A = +sqrt(R) = +tan^2(theta_c), which is sort of the Standard Model
expectation of R, as shown below:
Topics for discussion:
- CLEOG has many options for parametrizing noise in the SVX. I used the default, which may be no noise. What settings should I be using? My settings can be found in my run card cleog_svd.run. There are is documentation of the switches in the CLEOG area of the CLEO software home page.
Plans:
- Make sure switch settings of CLEOG are right.
- Generate more MC. Using only our Aspen machine we can generate about 20,000 events per day.
- Get analysis code (including KNLIB) up and running so I can look at SVX info in Monte Carlo.