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Explanatory Note 5 parameter fit 6 parameter fit Two MC Sample Sets

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Presentation on theme: "Explanatory Note 5 parameter fit 6 parameter fit Two MC Sample Sets"— Presentation transcript:

1 Explanatory Note 5 parameter fit 6 parameter fit Two MC Sample Sets
Sample One = First MC set (wrong slope) ~ 400k Events x 4 (Minbias w/Int, w/out Int, Topology w/Int, w/out Int Sample Two = Second MC set ~ 400k Events x 4 5 parameter fit 6 parameter fit

2 MinBias 400k sample one 0.1 < y < 0.5
5 parameter fit MinBias 400k sample one 0.1 < y < 0.5

3 MinBias 400k sample one 0.5 < y < 1.0
5 parameter fit MinBias 400k sample one 0.5 < y < 1.0

4 Topology 400k sample one 0.1 < y < 0.5
5 parameter fit Topology 400k sample one 0.1 < y < 0.5

5 Topology 400k sample one 0.5 < y < 1.0
5 parameter fit Topology 400k sample one 0.5 < y < 1.0

6 MinBias 400k sample one 0.1 < y < 0.5
6 parameter fit MinBias 400k sample one 0.1 < y < 0.5

7 MinBias 400k sample one 0.5 < y < 1.0
6 parameter fit MinBias 400k sample one 0.5 < y < 1.0

8 Topology 400k sample one 0.1 < y < 0.5
6 parameter fit Topology 400k sample one 0.1 < y < 0.5

9 Topology 400k sample one 0.5 < y < 1.0
6 parameter fit Topology 400k sample one 0.5 < y < 1.0

10 MinBias 400k sample two 0.1 < y < 0.5
5 parameter fit MinBias 400k sample two 0.1 < y < 0.5

11 MinBias 400k sample two 0.5 < y < 1.0
5 parameter fit MinBias 400k sample two 0.5 < y < 1.0

12 Topology 400k sample two 0.1 < y < 0.5
5 parameter fit Topology 400k sample two 0.1 < y < 0.5

13 Topology 400k sample two 0.5 < y < 1.0
5 parameter fit Topology 400k sample two 0.5 < y < 1.0

14 MinBias 400k sample two 0.1 < y < 0.5
6 parameter fit MinBias 400k sample two 0.1 < y < 0.5

15 MinBias 400k sample two 0.5 < y < 1.0
6 parameter fit MinBias 400k sample two 0.5 < y < 1.0

16 Topology 400k sample two 0.1 < y < 0.5
6 parameter fit Topology 400k sample two 0.1 < y < 0.5

17 Topology 400k sample two 0.5 < y < 1.0
6 parameter fit Topology 400k sample two 0.5 < y < 1.0

18 Fit Summary Sample Two 2/dof for interference fit: 5 parameter fit c
Minbias 0.1 < y < 0.5 49.71/47 1.007 0.088 52.3/47 0.99610.0880 0.5 < y < 1.0 77.43/47 0.9320.117 78.01/47 0.92370.1170 Topology 86.02/47 0.80050.1141 76.32/47 0.8410.113 79.69/47 1.1270.216 79.91/47 1.0540.288 2/dof for interference fit:


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