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A.Bozek T.Lesiak INP Krakow

A.Bozek T.Lesiak INP Krakow. Selection criteria. Statistics: experiments 7 ,9,11,15,17 Track selection: PID: Kaon: Pion: Phi: B:. Continuum rejection. Fisher discriminant (9 variables) : - Fox Wolfram: so: 2,4 oo: 2 -4 - sphericity - angles (cosines):

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A.Bozek T.Lesiak INP Krakow

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  1. A.Bozek T.Lesiak INP Krakow

  2. Selection criteria • Statistics: experiments 7,9,11,15,17 • Track selection: • PID: • Kaon: Pion: • Phi: • B:

  3. Continuum rejection • Fisher discriminant (9 variables): • - Fox Wolfram: so: 2,4 oo: 2-4 • - sphericity • - angles (cosines): • Reject event if discriminant < 1.0 • Efficiency: 92.8%(5K), 83.4%(ffK),85.5%( hcK), 69.5%(hcK*) • Continuum rejection:58.1%(5K), 71.1%(5Kp)

  4. Continuum rejection data cont data

  5. MC 10000 events D E D E

  6. 6 M(KK) hypothesis • If M(X) from fX • Only two other hypothesis • M(KK)are left • Both are are combine two • one histogram • Each B candidate has two • entries, eventual fit should • take it into account • Signal from rezonanses is • compose of BW + feedacross • to other KK combination • see later …. M(KK) GeV

  7. We have 3 mass combination • for 4K hypothesis • Fortunatly due to kienamtics • only in one eventual rezonaces • are going to show up. • One excluding the fastest Kaon M(KKKK) GeV M(KKKK) GeV M(KKKK) GeV

  8. M(X) from fX True f from kaons pair comb. Wrong kaons pair comb. D E M(KK) GeV

  9. 4K mass • No intermediate f • At least one f M(KKKK) GeV M(fKK) GeV

  10. M(X) from fX D E M(KK) GeV

  11. 4K mass • No intermediate f • At least one f One event M(KKKK) GeV ~900 events M(fKK) GeV

  12. MC 40000 events D E D E

  13. M(X) from fX M(KKKK) GeV M(fKK) GeV M(KK) GeV

  14. Exps 7,9,11,15,17 only M(X) from fX M(KK) GeV D E

  15. Exps 7,9,11,15,17 only M(KKKK) GeV M(fKK) GeV

  16. Exps 7,9,11,15,17 only M(X) from fX M(KK) GeV D E

  17. Exps 7,9,11,15,17 only 14 events pass selection criterias M(KKKK) GeV D E M(fKK) GeV

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