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Analysis of two normalization samples to improve measurements of relative branching ratios K00e4 and VSK00p3. Involves steps for cancellation of errors and maintaining track-to-cluster association efficiency. Evaluation of background contribution and systematic effects. Benefit from high-purity Ke3 events sample for efficiency assessment in data.
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Two normalization samples:- to events in order to obtain a cancellation of the systematic errors.- to events in order to keep under control the track-to-cluster association efficiency. The aim is to measure two relative branching ratios
K00e4 VSK00p3 • The measurement strategy is articulated in 5 steps: • Neutral vertex (4g). • gg→ p0 association. • Kinematic fit. • Track to cluster association. • Background rejection.
K00e4 VSK00p3 Signal increase by a factor ~ 3.
K00e4 VSK00p3 Background to signal ratio ~ 1:1 (K00p3 scaled by 23%)
K00e4 VS Ke3 • The measurement strategy is articulated in 3 steps: • Neutral vertex (2g). • Track to cluster association. • Background rejection.
K00e4 VS Ke3 Background to signal ratio 6:1
K00e4 VSKe3 Evaluate the contribution eTCA on data using a sample of Ke3 events. Purity ~ 98%.
Conclusions • The measurement method allowsto estimate the K00p3 background contribution directly from data. • Normalization to K00p3 events guarantees a cancellation of the systematic effects. • The high purity sample of Ke3 events allows to evaluate on data the track-to-cluster association efficiency. • Will benefit of 2 fb-1 statistics.