ppt file - INFN-LNF

Charged kaon meeting
LNF - February, 3rd 2004
B.Sciascia
TagBias
 Bug on error calculation
 Sensitivity with 8pb-1 MC
Km2
 p-Tracking vs K-Tracking
Kl3
 Selection
 Fit
 ......
B.Sciascia
Kpm Meeting - LNF - February, 3rd 2004
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K  m Tag Bias
Tag K Signal K
 m-Tag
 m-Trg
Tag K Signal K
K  m
 1.15  0.03 
 0.1 
K  m
 1.16  0.03 
 0.1 
K  pe
 0.8  0.2 
 0.6 
K  pe
 0.5  0.2 
 0.6 
K  pm
 1.2  0.3 
 0.7 
K  pm
 1.8  0.3 
 0.7 
K  pp
 1.1  0.09 
 0.2 
K  pp
K  ppp
 4.5  0.4 
 1. 
K  ppp
 5.0  0.4 
 1. 
K  ppp
 17.4  0.2 
 0.7 
K  ppp
 18.4  0.2 
 0.7 
MC: 96 pb-1
(480 pb-1 of Data equiv.)
B.Sciascia
 1.31  0.09   0.2 
MC: 8 pb-1 Run 26700-27020
(40 pb-1 of Data equiv.)
Kpm Meeting - LNF - February, 3rd 2004
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p-Tracking vs K-Tracking
Reconstruction:
FilFo

p-Tracking

EvCl 1 (5 Algos)

“Kaon joining”

EvCl 2 (5 Algos)

K-Tracking
Correlation (MC)
1.0446  0.0002
1.0504  0.0002
K+ TagBias (MC)
0.9914  0.0004
0.9885  0.0003
K- TagBias (MC)
0.9918  0.0004
0.9884  0.0003
eSELE (K)
20.02  0.01 
22.06  0.01 
eSELE (K+)
20.57  0.01 
22.71  0.01 
BR(K  m)
63.42  0.04 
63.90  0.04 
BR(K+  m+)
64.40  0.04 
64.82  0.04 
Systematics: to be studied
p-Trk vs K-Trk
Abs.
Rel.
DBR(K-)
- 0.48 
0.75 
DBR(K+)
- 0.42 
0.75 
B.Sciascia
Kpm Meeting - LNF - February, 3rd 2004
3
Kl3 selection (1)
“Usual” m-Tag
Track:
- KTRK + V2 + dTRK + Good_Extrap.
- p(mp)  190MeV (2-body rejec.)
- Asso. cluster
p0 :
- 2 not-asso cluster
- D(dt) wrt VTX  1 ns
- mgg inv. mass
ToF selection
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Kpm Meeting - LNF - February, 3rd 2004
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Kl3 Selection (2)
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Kpm Meeting - LNF - February, 3rd 2004
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All selected
 2001-2002
 p-m tag
 No AutoTrg
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Kpm Meeting - LNF - February, 3rd 2004
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“Pezzetto” effect
Correction for e+e- only
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Kpm Meeting - LNF - February, 3rd 2004
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All selected: m-trig
 2001-2002
 m tag
 m-Trg
K-
K+
Ke3
13.3%
13.5%
Km3
12.5%
12.7%
aeMC
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Kpm Meeting - LNF - February, 3rd 2004
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Cluster smearing
Data
Data
MC
MC smeared
“Cluster+Vertex” smearing:
K- st  130ps = 60ps  115ps  sK-Vtx  0.7cm
K+ st  120ps = 60ps  104ps  sK-Vtx  0.6cm
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Kpm Meeting - LNF - February, 3rd 2004
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Fit to m2 distribution (1)
Input histograms
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Kpm Meeting - LNF - February, 3rd 2004
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Fit to m2 distribution (2)
Data: 20 Pb-1 (Run 26601-26780)
MC: 2001+2002 stat. (96 Pb-1)
B.Sciascia
Kpm Meeting - LNF - February, 3rd 2004
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Nkl3/Ntag stability
Only DATA:
Run 25991-27147 (120 Pb-1)
B.Sciascia
Kpm Meeting - LNF - February, 3rd 2004
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Fit to K- m2 distribution
Data 2002
MC 2002
Check:
Data = MC 2001; MC = MC 2002
• BR(K-p0e-) = (4.84  0.06)
• BR(K-p0m-) = (3.30  0.06)
B.Sciascia
Kpm Meeting - LNF - February, 3rd 2004
13
Fit to K+ m2 distribution
Data 2002
MC 2002
Check:
Data = MC 2001; MC = MC 2002
• BR(Kp0e) = (5.06  0.06)
• BR(Kp0m) = (3.29  0.06)
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Kpm Meeting - LNF - February, 3rd 2004
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Kl3 2002 sample
Data: 2002
MC: 2002
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Kpm Meeting - LNF - February, 3rd 2004
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“Efficiency” (1)
 Efficiency TIMES Acceptance
 MC 2001-2002
 m-Tag
 m-Trg
MC
eTot
eTrk+V+Ext
e2-body
eAsso
ep0
eToF
K-e3
13.3%
22.5%
85.8%
93.0%
82.5%
89.6%
K-m3
12.5%
21.2%
92.9%
85.5%
82.4%
89.7%
K+e3
13.4%
22.6%
85.7%
93.2%
82.5%
89.7%
K+m3
12.7%
21.4%
92.9%
85.9%
82.5%
90.0%
r
Tracking (see Vincenzo talk)
Vertex (see Patrizia talk)
Trk-to-clu asso
p
ToF
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Kpm Meeting - LNF - February, 3rd 2004
16
“Efficiency” (2)
 Data 2002
 p-m tag, no autoTrg
K-l3
K+l3
“dEdx game”? (see PaoloB talk)
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Kpm Meeting - LNF - February, 3rd 2004
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Conclusions
TagBias update
Waiting for “New MC”:
- Small sample (Run 26700-27020)
- HW+Tracking efficiencies (ready)
- m on EMC (by A.A., C.B, M.T, and T.S., ready)
- p and K on EMC (by M.A., C.B, M.T, and T.S., almost ready)
-....
First check on Trk 1/Trk 2; EvCl 1/EvCl 2 difference
K semileptonic decay
- Work in progress (Christmas-stop + AFS-stop)
- 2001-2002 Data sample
- Fit to m2 distribution
Efficiencies and Systematics . . .
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Kpm Meeting - LNF - February, 3rd 2004
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