A.Bozek T.Lesiak INP Krakow
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Transcript of 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:
• 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%(K),85.5%( cK), 69.5%(cK*)
Continuum rejection: 58.1%(5K), 71.1%(5K)
• 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%(K),85.5%( cK), 69.5%(cK*)
Continuum rejection: 58.1%(5K), 71.1%(5K)
Continuum rejection
thrT ,,B
Continuum rejection
data cont
data
MC 10000 events
M(KK) GeV
• 6 M(KK) hypothesis• If
• 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(X) from X
M(KKKK) GeV
M(KKKK) GeV
M(KKKK) GeV
•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
GeV
True from kaons pair comb.
Wrong kaons pair comb.
M(X) from X
M() GeV
M() GeV
4K mass
• No intermediate
•At least one
GeV
M(X) from X
4K mass
• No intermediate
•At least one
One event
~900 events
M() GeV
M() GeV
MC 40000 events
M(X) from X
GeV
M() GeV
M() GeV
GeV
M(X) from X
Exps 7,9,11,15,17 only
Exps 7,9,11,15,17 only
M() GeV
M() GeV
Exps 7,9,11,15,17 only
GeV
M(X) from X
Exps 7,9,11,15,17 only
M() GeV
M() GeV
14 events pass selection criterias