neutral kaon wg other activities
DESCRIPTION
Neutral kaon WG other activities. Volounteered Rapporteur: F. Bossi. Coherent K S regeneration K L branching ratios K L 0 0 and QCAL. Coherent K S regeneration. M. Antonelli A. De Santis A. Di Domenico. INFN Laboratori Nazionali di Frascati - PowerPoint PPT PresentationTRANSCRIPT
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Neutral kaon WG other activities
Volounteered Rapporteur: F. Bossi
• Coherent KS regeneration
• KL branching ratios
• KL 00 and QCAL
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CP wg meeting 22 November 2002
Coherent KS regeneration
M. AntonelliA. De Santis A. Di Domenico
INFN Laboratori Nazionali di FrascatiPhysics Dept. University of Rome “La Sapienza” & INFN RM1
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Coherent regeneration
Coherent regeneration occurs only in the strictly forward direction:
ScohLL KKK
2
)( ScohL KKtP
coht
coht
coht
S mteeeK LSSL cos2 2/)(222
This interference term is important for thin regenerators, i.e. when |coh| ~ |±| as for the beam pipe and inner DC walls
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Event selection
Data sample : DST of 2001 and 2002integrated luminosity: 340 pb-1
Preliminary selection:• KS - sqrt(x2+y2) < 5 cm AND |z| < 10 cm - |Minv - MK| < 5 MeV
• KL - two track vertex inside a 40 cm radius sphere
- vertex inside 20 degree cone around extrapolated KL direction from PKs.
• kinematic fit to improve KS KL vertex position (the same as in interferometry study – M. Antonelli & A. Sibidanov)
)y(x 22
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Event selection
Minv (MeV)
• | |PKL| - |P+-| | < 5 MeV
• |Emis + (Minv-MK0)| < 5 MeV
Emiss (MeV)
Only scalar quantities used for the selection criteria in order to avoid distortion of angular distribution of the incoherent regeneration bkg.
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Beam pipe
DC inner wall
P
(rad)
cut
incoherent regeneration
incoherent regeneration
Background evaluation:• angular distribution of incoherent regeneration is assumed flat (in solid angle) in the small region• fit of incoherent regeneration background and subtraction• cut < 0.04
• K3 background negligible (checked with data)
Background
cut
(rad)
Resolution fixed
Resolution fixed
PKL
Regenerator
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Background subtraction
t S
t S
Incoherent regenerationbkg smeared according to MCand with data for >cut
signal + bkgbkg
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Efficiency
-Only relative variation of the efficiency are relevant. (Normalization to through |±|).
-a preliminary MC study does not shows dramatic changes in the region of interest (M. Antonelli-A. Sibidanov): more accurate studies needed !
LK
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Beam pipe
fit results:
2 = 27.6/15
= (6.5 ±2.2) ·10-4
± 0.25 rad
fit results
Fit function: P(t) folded with MC resolution
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DC inner wall
fit results:
2 = 14.0 / 15
= (16.6 ± 6.6) ·10-4
± 0.27 rad
fit results
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fit results
DC inner wallRed curve: incoherent regeneration(only decay term)
tcoh
t SL ee22
coh
tcoh mte LS cos2 2/)(
Black curve:coherent regeneration(decay and interference term)
tinc
t SL eAe 22
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fit result : phase
DC inner wall
The fit result is quite sensitiveto the coh phase, due to theinterference term
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fit results: result stability vs cut
fit results as a functionof the cut parameter
For comparison:horizontal linesare the Baldini-Michettievaluations
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Conclusion
- Theoretical evaluations (Baldini-Michetti) compatible with preliminary results
- more work to do on: - Efficiency evaluation - Refine and incoherent regeneration background evaluation - Complete analysis with full Kloe statistics
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Our Christmas present to Paolo F. :
We will measure absolute branching ratios
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Status of the measurement of
KL l,branching ratios
M. Antonelli, M. Dreucci, M. Moulson
CP meeting 16-12-2002
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Introduction
Problems in both measurements:• tag bias (common to all KL BR measurements) • tracking efficiency
Additional Problems KL :• momentum calibration• momentum resolution
( semileptonic event selections needs looser kinemtic cuts)
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Tag bias
Main bias is expected from trigger
require trigger from ks pions:
clusters connected to fired trigger sector no other cluster in “ks sectors” (avoid overlaps)
no splitted pion tracks (T2CL asso. quality) + ks direction far from beam line (cos()>0.9)
Ks selection: Rt<10cm ;|z|<20 cm |m-mK|<5 MeV; |p*-p*K|<10 MeV
63%
39%
25%
20%
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Tag bias: MC results
Relative KS +- efficiency for various KL process
KL eKL
KL +-0
KL 000
KL All
out FVCrash included
63% standard
39% Ks trigger
25% + overlaps
20% + tracks q. Ks dir.
KLtag
in FV
+/- 1%
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Tag bias: cont.
General :•Main KL decay mode can be measured with “unbiased” tag.•Rare decays can be normalized to main one
Prospects:• a <1% biased tag available • compare with data (neutral vs charged Kltag)• for more studies we need good simulation of: KL “shower”, fragments, machine bkg. inclusion (soon)
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Tracking efficiency
Double tag method ( from KL analysis)
KS
Conditional efficiency N2/N1 from data
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Data-MC comparison“Efficiency” dependence for about 20 variables (2000 data) just few examples efficiency definition = (# 2 tag events)/(# >0 tag events)
DATA MC
DATA MC
0 206 MeV 0 206 MeV
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Data-MC comparison cont.
No clear dependencies found
BUT
Eff. vs <Hot rate>(Khz)
DATA MC
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Kinematics Pm
iss
(MeV
)
Emiss (MeV)
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QCAL infos and KL 0 0 search
Caterina Bloise
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QCAL infos and KL 0 0 search
Can QCAL play any role in the KL 0 0 search ?
Two items have been considered :background reduction
knowledge of the distributions useful to separate signal and background
4-clusters sample ( last 115 pb-1 of the 2002 DAQ campaign) has been analyzed
Results: QCAL is marginal for the background reduction QCAL-tagged background is crucial for the knowledge of the distributions of the 30 contamination.
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QCAL infos and KL 0 0 search
Likelihood Ratio - 4-clusters events (53.5 pb-1)
Eve
nts
/ 2.
Background selection: signal contamination evaluation
Plot 1 : shape of the difference between events selected with T < 20 nsand those with T < 10 ns
Plot 2 : shape of the difference between events selected with T < 10 nsand those with T < 5 ns
Plot 3 : shape of the difference between events selected with T < 5 nsand those with T < 3 ns
Black area : shape of the events selected requiring T < 3 ns
1
2
3
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QCAL infos and KL 0 0 search
Background reduction is modest :
14884 events / ~66000 ~22% of the contamination is tagged by QCAL requiring at least one hit in time T < 5 ns
Black histogram : Entire sample distribution
Blue histogram : Event distribution without taggedsample by QCAL
Likelihood Ratio - 4-clusters events (115 pb-1)
Eve
nts
/ 0.
5
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QCAL infos and KL 0 0 search
Black histogram : MC distribution for the entire background sample 15313 simulated events
Red points : MC distribution for the QCAL tagged background - 3598 events
Likelihood Ratio - 4-clusters events MC
Eve
nts
/ 0.
5
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QCAL infos and KL 0 0 search
Black histogram : MC distribution for the entire background sample 15313 simulated events
Red points : QCAL tagged background in 115 pb-1 - 14884 events
Likelihood Ratio - 4-clusters events QCAL vs MC shape
Eve
nts
/ 0.
5
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QCAL infos and KL 0 0 search
4-clusters events (black points) 59794 collected in ~ 115 pb –1
Signal shape from MC 18208 simulated events
Background shape from QCAL 14884 collected events
Fit results : Signal (red histogram): 8570 220 ev
Background: 51225 510 ev
459/356
Blue histogram is the sum of signal and background from fit results
Eve
nts
/ 0.
5
Likelihood Ratio - 4-clusters events (115 pb-1)
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CONCLUSIONS
The QCAL information is crucial for the knowledge of the background behaviour
It is also important to increase its efficiency in order to achieve a better statistical accuracy on the interesting distributions