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8/26/02 D0 Calorimeter Task Force Stephanie Beauceron LPNHE - Paris 1 Offline zero suppression Aim: Understand the huge value of Missing E T at 1.5  Principally.

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Presentation on theme: "8/26/02 D0 Calorimeter Task Force Stephanie Beauceron LPNHE - Paris 1 Offline zero suppression Aim: Understand the huge value of Missing E T at 1.5  Principally."— Presentation transcript:

1 8/26/02 D0 Calorimeter Task Force Stephanie Beauceron LPNHE - Paris 1 Offline zero suppression Aim: Understand the huge value of Missing E T at 1.5  Principally two runs have been studied from p11: - 158541 1.5  run - 157581 2.5  run On QCD and Bias (zero bias and minimum bias) events A method to simulate the cut at 2.5  on 1.5  has been developed  Look at the MET resolutions for the QCD and Bias events

2 8/26/02 D0 Calorimeter Task Force 2 Determination of the sigma value On a file of 1.5  : Distribution of cell energy: -by type of preamplifier -by 4 zones of the calorimeter (-32  ieta<-15; -15  ieta<0;0<ieta  15;15<ieta  32) -And by layer. Look for the maximum of the distribution, 1.5  =bin(20% of the maximum) Value of 1.5 

3 Example of cuts 1.5 sigma cut at 2.5 sigma 2.5 sigma

4 Met and Set at 1.5  and at 2.5  on bias events 1.5 sigma 2.5 sigma Mean RMS 3.6 2.5 12.9 8.2 Mean RMS 1.1 3.4 1.8 10.3 Mean RMS -0.9 2.6 -3.2 8.8 Mean RMS 30.3 13.9 202.6 40.6 Met is 4 times more important in run 1.5 . In run 1.5 , there is 6 times more energy than in run 2.5 .

5 Mean RMS 7.3 5.3 9.0 6.9 Mean RMS 1.6 6.2 1.8 7.7 Mean RMS -1.5 5.7 -1.1 7.0 Mean RMS 76.9 29.8 70.5 28.9 Consequences of cuts on MET and SET Mean RMS 3.6 2.5 5.4 4.8 Mean RMS 1.2 3.3 -1.4 5.6 Mean RMS -1.2 2.4 -1.6 3.9 Mean RMS 25.7 9.1 26.0 11.9 1.5 sigma cut at 2.5 sigma 2.5 sigma Zero Bias eventsQCD events

6 6 Met resolutions for QCD events Run 1.5  Run 1.5  cut at 2.5  Run 2.5  Slope 0.940 Slope 0.061 Slope 1.122 Slope 0.064 Slope 0.703 Slope 0.022  Met value at 1.5  is understandable

7 7 Met/Set resolution for QCD events Run 1.5  Run 1.5  cut at 2.5  Run 2.5  Slope 0.0035 Slope 4.10 -6 Slope 0.0015 Slope 0.0011 Slope -0.0005  Met is varying as  Set

8 8 Met resolution for Bias events Run 1.5  Run 2.5  Run 1.5  cut at 2.5  Slope 0.934 Slope 0.875Slope 0.030 Slope 1.618 Slope 0.083 Slope 0.137

9 9 Met/Set resolution for Bias events Run 1.5  Run 1.5  cut at 2.5  Run 2.5  Slope –4x10 -5 Slope –0.001 Slope 0.0009 Slope 0.0032 Slope 0.0077  On run 1.5 , Met is varying as  Set

10 8/26/02 D0 Calorimeter Task Force 10 A lot of Negative Energy… Run 1.5  Run 2.5  On bias events:

11 8/26/02 D0 Calorimeter Task Force Stephanie Beauceron LPNHE - Paris 11 Conclusion The method to cut on sigma value is valid For a cut at 1.5  we have a MET greater than 10 GeV on Bias events MET is varying as Sqrt(Set) from QCD events Still to look at the negative energy cells… 1.5  1.7  22 2.5  Zero bias events


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