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Sabino Meola Charged kaon group meeting 12 October 2006
Status of analysis Status of analysis400eK 400eK
Sabino Meola Charged kaon group meeting 12 October 2006
The K± → e±e decay
The K± → e±e decay
132200 10||||8.0)4( sFVeK us
• Allows the study of - scattering
• Selection rule I = ½
• Form factor F
)4( 00eK
PDG value: (2.2±0.4)·10-5
Sabino Meola Charged kaon group meeting 12 October 2006
The aim is to measure two relative branching ratios
The aim is to measure two relative branching ratios
4
3
3
400
00
00
00
00
00
)(
)(
eK
KObs
K
Obs
eKe
N
N
KBR
eKBR
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.
300K
3ke
4
3
3
40
00
00
00
)(
)(
eK
KeObsKe
Obs
eK
e
e
N
N
eKBR
eKBR
Sabino Meola Charged kaon group meeting 12 October 2006
K00e4 VS K003K00e4 VS K003
The measurement strategy is articulated in 4 steps:1. Neutral vertex (4).2. → association.3. Kinematic fit.4. Track to cluster association.5. Background rejection.
Sabino Meola Charged kaon group meeting 12 October 2006
Step 1: The neutral vertex method (4)
Step 1: The neutral vertex method (4)
Allows the selection of events with 2 0
in the final state
±→X±
The neutral vertex must satisfy thefollowing requests:
• 4 neutral clusters on time(t - r/c) = (t - r/c)2= (t - r/c) = (t - r/c)
• consistency with Kaon time of flight
Sabino Meola Charged kaon group meeting 12 October 2006
300K
3Ke
Step 2: →0 associationStep 2: →0 association
• Cut on 2 of the
association →
• Cut on
2=|2best – 2
near|
3K 0K Knucleari
400eK
400K
Sabino Meola Charged kaon group meeting 12 October 2006
Step 3: kinematic fitStep 3: kinematic fit
• 4-momentum conservation
• invariant mass
• clusters on time
• consistency with Kaon time of flight
• missing 4-momentum having zero mass
• invariant mass
• clusters on time
• consistency with Kaon time of flight
3 hypotesis K00e4 hypotesis
Sabino Meola Charged kaon group meeting 12 October 2006
400K
3Ke
0K3K Knucleari
Step 3: kinematic fitStep 3: kinematic fit
300K
400eK
Sabino Meola Charged kaon group meeting 12 October 2006
Step 4: Track to cluster associationStep 4: Track to cluster association
1
2
sec22
TrkVtxNeucl L
cttpm
Sabino Meola Charged kaon group meeting 12 October 2006
Background analysis: K± → ± Background analysis: K± → ± )3( 00K
Sabino Meola Charged kaon group meeting 12 October 2006
Background analysis: K± → ±Background analysis: K± → ±
ctt
L
vtxneucl
trk
sec
2
222 1
pm
Sabino Meola Charged kaon group meeting 12 October 2006
Background analysis: K± → ± Background analysis: K± → ±
We require p/E < 3
)3( 00K
Sabino Meola Charged kaon group meeting 12 October 2006
Background analysis: K± → e±e (Ke3)
Background analysis: K± → e±e (Ke3)
02
01
sec EEEEE Kmiss
Energies constrained by a kinematic fit
Sabino Meola Charged kaon group meeting 12 October 2006
Splitted clusters in Ke3 backgroundSplitted clusters in Ke3 background
400eK
3Ke
Minimum tridimensional distance
To reject Ke3 events with split clusters we cut on the minimum distance (in 3D) among each couple of clusters.
Ke3
K00e4
cm
Sabino Meola Charged kaon group meeting 12 October 2006
Radiative Ke3 backgroundRadiative Ke3 background
We look at the minimum angle between the 4 photons and the secondary track.
K00e4K00e4
Ke3
K00e4
Sabino Meola Charged kaon group meeting 12 October 2006
The measurement methodThe measurement methodWe consider the events distribution in the(m2,p) plane.
K00e4 (blue region):
-900 < m2 < 3500 (MeV2)35 < p < 180 (MeV)
3 (violet region):
m2 < -1000 (MeV2)25 < p < 180 (MeV)
Sabino Meola Charged kaon group meeting 12 October 2006
Measure of the branching ratioMeasure of the branching ratio
)1(00
300
3 KMC
KData NN
The contribution of background on data is:
23.0
Sabino Meola Charged kaon group meeting 12 October 2006
Measure of the branching ratioMeasure of the branching ratio
4
400
00
00
003
003
00
)(
)(
eK
K
Obs
K
Obs
eKe
N
N
KBR
eKBR
3105.1
12471093
4
003
00KeB
KB
ObsObs
eKNNNN
1250
5105.06.2
2300 10757.1105.1)( eveKBR
Sabino Meola Charged kaon group meeting 12 October 2006
K00e4 VS Ke3K00e4 VS Ke3
The measurement strategy is articulated in 3 steps:1. Neutral vertex (2).2. Track to cluster association.3. Background rejection.
Sabino Meola Charged kaon group meeting 12 October 2006
Step 1: The neutral vertex method (2)
Step 1: The neutral vertex method (2)
Allows the selection of events with 1 0
in the final state
±→X±
The neutral vertex must satisfy thefollowing requests:
• 2 neutral clusters on time(t - r/c) = (t - r/c)2
• consistency with Kaon time of flight
• invariant mass
Sabino Meola Charged kaon group meeting 12 October 2006
Step 2: Track-to-cluster associationStep 2: Track-to-cluster association
-900 < m2 < 3500 Mev/c2
Sabino Meola Charged kaon group meeting 12 October 2006
Step 2: Track-to-cluster association (m2 cut)
Step 2: Track-to-cluster association (m2 cut)
400eK
0K
3Ke
300K
Sabino Meola Charged kaon group meeting 12 October 2006
400eK
0K
Step 3: K event rejectionStep 3: K event rejection
p* < 150 Mev/c
Sabino Meola Charged kaon group meeting 12 October 2006
400eK
0K
3Ke
300K
400eK
Step 3: Ke3 event rejectionStep 3: Ke3 event rejection
We look for two more neutral clusters in the calorimeter.
Sabino Meola Charged kaon group meeting 12 October 2006
sec0 EEEE Kmiss sec0 PPPP Kmiss
We perform a kinematic fit to constrain the photon 4-momentum.
Step 3: Ke3 event rejectionStep 3: Ke3 event rejection
We consider the E2miss-P2
miss
Sabino Meola Charged kaon group meeting 12 October 2006
3ke
400ek
Step 3: Ke3 rejectionStep 3: Ke3 rejection
We require E2m-P2
m < 104
Sabino Meola Charged kaon group meeting 12 October 2006
• We have to inquire Ke3 events with two fake neutral clusters (e.g. radiative + splitting).
• Look to P/E variable to reject K00event.
To be doneTo be done
Sabino Meola Charged kaon group meeting 12 October 2006
ConclusionsConclusions
• The measurement method allows to estimate the K003 background contribution directly from data.
• Normalization to 3 events guarantees a cancellation of the systematic effects.
• A second measurement method with normalization to Ke3 events would allow to keep under control the track-to-cluster association efficiency.
• Will benefit of 2 fb-1 statistics.