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CMSSW_3_1_1 preproduction samples

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Presentation on theme: "CMSSW_3_1_1 preproduction samples"— Presentation transcript:

1 CMSSW_3_1_1 preproduction samples
/ppMuX/Summer09-MC_31X_V2_preproduction_311-v1/GEN-SIM-RECO /ppMuXLoose/Summer09-MC_31X_V2_preproduction_311-v1/GEN-SIM-RECO /BtoJPsiMuMu/Summer09-MC_31X_V2_preproduction_311-v1/GEN-SIM-RECO /JPsiMuMu/Summer09-MC_31X_V2_preproduction_311-v1/GEN-SIM-RECO /Upsilon1S/Summer09-MC_31X_V2_preproduction_311-v1/GEN-SIM-RECO /JPsiEE/Summer09-MC_31X_V2_preproduction_311-v1/GEN-SIM-RECO Preproduction samples, use them and test your codes. 17, July, 2009 Zheng Wang

2 For B physics analyses:
A “B Physics Analysis Software “ have been created: In which: MC generation and detector simulation Analysis software Tutorials Validation Useful liks 17, July, 2009 Zheng Wang

3 Validation of a fit 17, July, 2009 Zheng Wang

4 Validation of a Fit The Validation of a fit: The fit result is no bias; The fitting error consistent with the probability of statistics(一致性,无偏性,有效性). Input/output test: Fits on as larger as controlled samples (toy MC samples, or separated real data samples) to test input/output mean values and fitting errors.--if found the bias is ab, take “a” as correction and “b” as the sys. error. 17, July, 2009 Zheng Wang

5 Mean/error tests of a fit (1)
Mean test: compare the difference between the input values and fitting result. A fit: 1000 MC samples, in which nsignal= 100, nbg=200 17, July, 2009 Zheng Wang

6 Mean/error tests of a fit (2)
Error test: “Pull” distribution If the fit is no-bias, the mean value of pull distribution is zero; If the fitting error is “good”, the sigma of “pull” is 1; That means the “pull” should be a N(0,1) distribution. Nfitsig : Fitted signal number for i MC sample. Ntruthsig: The MC truth signal number of i MC sample (by MC truth matching, R cut) fit: event fitting error 17, July, 2009 Zheng Wang

7 “Pull” distribution Pull(Nsig)
1> “Pull” test do not verify which fits are the better, it is only prove the validation of the fit. 2>For the low statistics signal, event number distribution is not normal distribution, but possion distribution. “Pull” test will not be a N(0,1) distribution. Pull(Nsig) Pull(Nsig) 17, July, 2009 Zheng Wang

8 Fits in B->J/ analysis
Combined prompt J/ and b->J/X samples (10pb-1); pass the same trigger path and selection criteria as those at large sample (43.5pb-1). 7 pTbins, 1-D binned maximum likehood fit over inv. Mass of  track. Signal PDF: obtained from B mass shape from 43.5pb-1 data, (histogram fit). Bkg PDF: exponential floating the slope. Fit over the range GeV. 17, July, 2009 Zheng Wang

9 Fit in B->J/K in each bin
17, July, 2009 Zheng Wang

10 Pull test Mean:0.0239.320 Sigma:1.22  0.08 Mean:-0.4140.252
17, July, 2009 Zheng Wang


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