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