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Introduction Analysis Results Conclusions
Frascati 12 March 2008
Status of analysis
F. Ambrosino T. Capussela F. Perfetto
Status of analysis
Status of analysisFrascati 12 March 2008
Outline
Repeat the analysis with mass constraint before photon’s pairing
Review the correction to the photon efficiency
Look at Data /MC comparison for min2
Status of analysisFrascati 12 March 2008
Sample selection
OLD approach:
7 and only 7 pnc with 21° < < 159° and E > 10 MeV > 18° Kin Fit with no mass constraint P(2) > 0.01 320 MeV < Erad < 400 MeV AFTER PHOTON’S PAIRINGKinematic Fit with and mass
constraints (on DATA M=547.822
MeV/c2 )
NEW approach:
7 and only 7 pnc with 21° < < 159° and E > 10 MeV > 18° Kin Fit with mass constraint
(on DATA M= 547.822 MeV/c2 ) P(2) > 0.01 320 MeV < Erad < 400 MeV AFTER PHOTON’S PAIRINGKinematic Fit with mass constraint
Status of analysisFrascati 12 March 2008
OLD - NEW
Using the same cuts on min and
Pur 75.4%
Pur 84.5%
Pur 92%
Pur 94.8%
Pur 97.6%
Pur 82.2%
Pur 99%
Pur 98%
Pur 96.3%
Pur 91%
Low purity
Medium I purity
Medium II purity
Medium III purity
High purity
Status of analysisFrascati 12 March 2008
OLD - NEW
The slope in the efficiency shapes
8%
14%
21%
25%
26%
Low purity
Medium I purity
Medium II purity
Medium III purity
High purity
8%
14.6%
22.3%
25.3%
26%
Status of analysisFrascati 12 March 2008
OLD - NEW
RMS = 0.1169
RMS = 0.1632
Status of analysisFrascati 12 March 2008
Efficiency
Correction to the photon efficiency is applied weighting the Montecarloevents for the Data/MC photon efficiency ratio ≈ 1 exp(E/8.1)
Introduction Analysis Results Conclusions
Status of analysisFrascati 12 March 2008
Efficiency (I)
Correction to the photon efficiency is applied weighting the Montecarloevents for the Data/MC photon efficiency ratio ≈ 1 exp(E/8.1)
Low purity
Medium II purity
High purity
P1 = 0.001258
P1 = 0.001692
P1 = 0.002014 P1 = 0.001876
P1 = 0.001601
P1 = 0.001623
Introduction Analysis Results Conclusions
Status of analysisFrascati 12 March 2008
Photons pairing
m0
j
m ioj
j2
m i
0j M
0
m0
j
i1
3
2
Recoil is the most energetic cluster.In order to match every couple of photon to the right 0 we build a 2-like variable for each of the 15 combinations:
With:
is the invariant mass of i0 for j-th combination
= 134.98 MeV
is obtained as function of photon energies
M 0
Introduction Analysis Results Conclusions
Status of analysisFrascati 12 March 2008
Energy resolution
EEp1 1 e
p2
E p3
Ep4
E
M
M
1
2
E1
E1
E2
E2
Introduction Analysis Results Conclusions
Status of analysisFrascati 12 March 2008
Data – MC RMS
A data MC discrepancy at level of 12 % is observed.
A further check can be done comparing the energies of the two photons in the pion rest frame as function of pion energy
Status of analysisFrascati 12 March 2008
Conclusions
We are ready to fit and to evaluate the systematical errors in the NEW approach.
We have to resolve the Data MC discrepancy onmin
2
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
3in chiral theory
A s,t,u 1
Q2
mK2
m2m
2 mK2 M s,t,u
3 3F2
( 3 ) A2 Q 4
M (s,t,u)3s 4m
2
m2 m
2Q2 ms
2 m2
md2 mu
2
The decay occours primarily on account of the d-uquark mass differences and the result arising from lowestorder chiral perturbation theory is well known:
With:
A good understanding of M(s,t,u) can in principle lead to a very accurate determination of Q:
And, at l.o.
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
z 2
3(
3Ei m
m 3m 0i1
3
)2 2
max2
The dynamics of the decay can be studied analysing the Dalitz plot distribution.
The Dalitz plot density ( |A|2 ) is specified by a single quadratic slope :
|A|2 1 + 2z
with:
Ei = Energy of the i-th pion in the rest frame. = Distance to the center of Dalitz plot.max = Maximun value of .
Z [ 0 , 1 ]
Dalitz plot expansion
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Dalitz plot expansion
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Dalitz expansion: theory vs experiment
Calculation Tree
One-loop[1]
Dispersive[2]
Tree dispersive
Absolute dispersive
Unitary[3]
0.00
0.0015
0.007 0.014
0.006
0.007
0.031 [1] Gasser,J. and Leutwyler, H., Nucl. Phys. B 250, 539 (1985) [2] Kambor, J., Wiesendanger, C. and Wyler, D., Nucl. Phys. B 465, 215 (1996) [3] Borosoy B., Niler R. hep-ph/0510384 v2 (2005)
Alde (1984) 0.022 ± 0.023
Crystal Barrel (1998) 0.052 ± 0.020
Crystal Ball (2001) 0.031 ± 0.004
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Sample selection
The cuts used to select: 000are:
7 and only 7 prompt neutral clusters with 21° < <
159°
and E > 10 MeV Opening angle between each couple of photons > 18° Kinematic Fit with no mass constraint P(2) > 0.01 320 MeV < Erad < 400 MeV (after kin fit)
The overall common selection efficiency (trigger, reconstruction, EVCL) is = (30.30 0.01)%With these cuts the expected contribution from events other than the signal is < 0.1%
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Sample selection
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Photons pairing
m0
j
m ioj
j2
m i
0j M
0
m0
j
i1
3
2
Recoil is the most energetic cluster.In order to match every couple of photon to the right 0 we build a 2-like variable for each of the 15 combinations:
With:
is the invariant mass of i0 for j-th combination
= 134.98 MeV
is obtained as function of photon energies
M 0
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Energy resolution
EEp1 1 e
p2
E p3
Ep4
E
M
M
1
2
E1
E1
E2
E2
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Matching to s
Cutting on: Minimum 2 value 2 between “best” and “second” combination
One can obtain samples with different purity-efficiency
Purity = Fraction of events with all photons correctly matched to 0’s
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Samples
Pur 84.5% Eff 22 %Pur 92 % Eff 13.6 %
Pur 94.8% Eff 9.2 %
Pur 97.6% Eff 4.3 %
Low purity
High purity
Medium purity III
Medium purity II
Pur 75.4% Eff 30.3 %
Medium purity I 2 < 10
2 > 1.2
2 < 5
2 > 3
2 < 3
2 > 4
2 < 2
2 > 7
No cut on 2 and 2
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency
Low purity
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency
Medium II purity
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency
High purity
ReconstructedPhase space
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
The problem of resolution
Low Purity High Purity
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Second kinematic fit
Once a combination has been selected, one can do a second kinematic fit imposing 0 mass for each couple of photons.
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Fit procedure
ni log i i
We obtain an extimate by minimizingThe fit is done using a binned likelihood approach
Where:
ni = recostructed eventsi = for each MC event (according pure phase space):
Evaluate its ztrue and its zrec (if any!) Enter an histogram with the value of zrec
Weight the entry with 1 + 2 ztrue Weight the event with the fraction of combinatorial background, for the signal (bkg) if it has correct (wrong) pairing
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on MC
We have tested the fit procedure on MC by generating samples with different values of the parameter and looking at the result of our fit for these samples:
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on MC (Low Pur)
Fitted region (0,0.6)
Fitted region (0,1)
Fitted region (0,0.7)
Fitted region (0,0.8)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on MC (Medium II Pur)
Fitted region (0,0.6)
Fitted region (0,1)
Fitted region (0,0.7)
Fitted region (0,0.8)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on MC (High Pur)
Fitted region (0,0.6)
Fitted region (0,1)
Fitted region (0,0.7)
Fitted region (0,0.8)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Data sample
We have analyzed Lint = 418 pb1 of ee collisions collected in the 20012002 data taking period
N1 = 1.4179 0.0012 Mevts Low purity
N2 = 1.0292 0.0010 Mevts Medium I purity
N3 = 0.6459 0.0008 Mevts Medium II purity
N4 = 0.4453 0.0007 Mevts Medium III purity
N5 = 0.2123 0.0005 Mevts High purity
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Analysis on data
Trying some more systematics checks on the fitting range we got in BIG trouble…
RangeLow
· 103
Medium I
· 103
Medium II
· 103
Medium III
· 103
High Pur
· 103
(0, 1) 18 ± 2 18 ± 2 18 ± 3 11 ± 3 8 ± 4
(0, 0.7) 31 ± 3 30 ± 2 26 ± 3 18 ± 4 18 ± 6
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Linearity of DATA / MC ratio
Check linearity of DATA/MCreco using for MC pure phase space…
Nothing really strange @ high purity…
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Linearity of DATA / MC ratio (II)
Idea: check linearity of DATA/MCreco using for MC pure phase space… But @ low purity = High statistics…
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
A possible explanation_
The edge of the flat part of the phase space depends in the value of the eta mass. What if its value on data is larger than the nominal one ?
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
A toy MC
To understand the effect we used a toy MC to generate 1200000 events with different eta masses:
Sample 1 : M = 547.30 MeVSample 2 : M = 547.822 MeV We observe that when the input mass value is used to build “z” variable the phase space shape does not change. But if one uses M = 547.30 MeV to build the “z” variable for sample 2 big deviations are observed……..
z 2
3(
3Ei m
m 3m 0i1
3
)2 2
max2
Z2(547.8)/Z1(547.3)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
A toy MC
To understand the effect we used a toy MC to generate 1200000 events with different eta masses:
Sample 1 : M = 547.30 MeVSample 2 : M = 547.822 MeV We observe that when the input mass value is used to build “z” variable the phase space shape does not change. But if one uses M = 547.30 MeV to build the “z” variable for sample 2 big deviations are observed……..
z 2
3(
3Ei m
m 3m 0i1
3
)2 2
max2
Z2(547.8)/Z1(547.3)Z2(547.3)/Z1(547.3)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
LinearityIf the effect is given by the eta mass, correcting for it now all sample should exhibit good linearity for the ratio DATA/MCrec (phase space)
@ Low purity
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Linearity (II)If the effect is given by the eta mass, correcting for it now all sample should exhibit good linearity for the ratio DATA/MCrec (phase space)
@ High purity
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on data
Let us look at what happens now…
Range Low
· 103
Medium I
· 103
Medium II
· 103
Medium III
· 103
High Pur
· 103
(0, 1) 33 ± 2 35 ± 2 33 ± 3 28 ± 3 25 ± 4
(0, 0.7) 33 ± 3
35 ± 3 32 ± 4 26 ± 4 25 ± 6
…..we gained greater stability with respect to the range and purity.
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Third kinematic fit
We performed a kinematic fit constraining the mass
(M = 547.822 MeV)
RangeLow
· 103
Medium I
· 103
Medium II
· 103
Medium III
· 103
High
· 103
(0, 1) 30 ± 2 31 ± 2 31 ± 3 25 ± 3 26 ± 4
(0, 0.8) 26 ± 2 28 ± 2 28 ± 3 22 ± 4 22 ± 5
(0, 0.7) 26 ± 3 28 ± 3 27 ± 4 21 ± 4 23 ± 5
(0, 0.6) 30 ± 4 31 ± 4 31 ± 4 24 ± 5 20 ± 6
RangeLow
· 103
Medium I
· 103
Medium II
· 103
Medium III
· 103
High
· 103
(0, 1) 30 ± 2 31 ± 2 31 ± 3 25 ± 3 26 ± 4
(0, 0.8) 26 ± 2 28 ± 2 28 ± 3 22 ± 4 22 ± 5
(0, 0.7) 26 ± 3 28 ± 3 27 ± 4 21 ± 4 23 ± 5
(0, 0.6) 30 ± 4 31 ± 4 31 ± 4 24 ± 5 20 ± 6
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
The systematic check
This procedure relies heavily on MC.
The crucial checks for the analysis can be summarizedin three main questions:
I. Is MC correctly describing efficiencies ?II. Is MC correctly describing resolutions ?III. Is MC correctly estimating the “background” ?
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency (I)
Correction to the photon efficiency is applied weighting the Montecarloevents for the Data/MC photon efficiency ratio ≈ 1 exp(E/8.1)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency (I)
Correction to the photon efficiency is applied weighting the Montecarloevents for the Data/MC photon efficiency ratio ≈ 1 exp(E/8.1)
Low purity
Medium II purity
High purity
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency (II)
Further check is to look at the relative ratio between the different samples:
N2/N1 exp. = .7263 ± .0002
N3/N1 exp. = .4497 ± .0002
N4/N1 exp. = .3048 ± .0002
N5/N1 exp. = .1431 ± .0001
N2/N1 obs = .7258 ± 0.0004
N3/N1 obs. = .4556 ± 0.0004
N4/N1 obs. = .3140 ± 0.0004
N5/N1 obs. = .1498 ± 0.0003
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency (III)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Resolution (I)
A first check on resolution is from pion mass distribution
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Resolution (II)
The center of Dalitz plot correspond to 3 pions with the same energy (Ei = M/3 = 182.4 MeV). A good check of the MC performance in evaluating the energy resolution of 0 comes from the distribution of E0 Ei for z = 0
E1
E2
E
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Resolution (III)
A further check can be done comparing the energies of the two photons in the pion rest frame as function of pion energy
Vs.
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Resolution (IV)
A data MC discrepancy at level of 12 % is observed.Thus we fit filling a histo with: z’rec = zgen + (zrec zgen ).
A further check can be done comparing the energies of the two photons in the pion rest frame as function of pion energy
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Fitting the combinatorial backgroundIdea, try to fit background composition on DATA.To check procedure, we fit background composition on MC:
Background fraction (MC) = 15.5 %Background fraction (MC fit) = (15.5 ± 0.2) %
Background fraction (MC) = 8.0 %Background fraction (MC fit) = (7.9 ± 0.3) %
Background fraction (MC) = 5.2 %Background fraction (MC fit) = (5.2 ± 0.3) %
Background fraction (MC) = 2.4 %Background fraction (MC fit) = (2.4 ± 0.4) %
Background fraction (MC) = 24.6 %Background fraction (MC fit) = (24.6 ± 0.2) %
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Fitting the combinatorial background (II)
On DATA:
Background fraction (MC) = 15.5 %Background fraction (DATA) = (16.6 ± 0.28) %
Background fraction (MC) = 8.0 %Background fraction (DATA) = (8.90 ± 0.37) %
Background fraction (MC) = 5.2 %Background fraction (DATA) = (6.0 ± 0.45) %
Background fraction (MC) = 2.4 %Background fraction (DATA) = (3.25 ± 1.00) %
Background fraction (MC) = 24.6 % Background fraction (DATA) = (26.45 ± 0.26) %
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Background
Background composition, Medium II purity sample
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Systematic uncertainties
EffectLow
· 103
Medium I
· 103
Medium II
· 103
Medium III
· 103
High
· 103
Res 9 6 4 3 3
Low E 1.6 1.9 1.6 1.3 1.4
Bkg 0. 0. 0. 1 1 +1
M 1 1 2 2 5
Range 4 3 4 4 3 +3
Purity 2 +5 +7 1 + 6 7 5 + 2
Tot 10 + 5 7 + 7 6 + 6 9 9 + 4
We take as milestone, for each sample, the fit in the range (0, 0.7)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results
We give the final results for the slope parameter in corrispondence of the sample with 92% of purity:
This result is compatible with the published Crystal Ball result:
= 0.031 ± 0.004
And the calculations from the chiral unitary approach.
= 0.027 ± 0.004stat ± 0.006 syst
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Fit residual
2/ndf = 13.72 / 17.
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Effect of mass constraint in fit
Why did this effect not pop up in other experiments analyses? The reason is the effect is much less evident if you constrain in a kinematic fit the mass and then use the value you have constrainedd to build z….
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Conclusions
If you bless this preliminary result we are ready to prepare a brief paper for LP07.
Otherwise…… . The MEMO is ready and Giorgio already gave
us his comments (This talk is partially upgrade one.)
Next step: to perform the kinematic fit imposing mass before the photon pairing, as asked by Giorgio.
And then? ……THE END!!!!!!!
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Spare
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency I
Medium I purity
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Efficiency
Medium III purity
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on MC (Medium I Pur)
Fitted region (0,0.6)
Fitted region (0,1)
Fitted region (0,0.7)
Fitted region (0,0.8)
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Results on MC (Medium III Pur)
Fitted region (0,0.6)
Fitted region (0,1)
Fitted region (0,0.7)
Fitted region (0,0.8)
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
DATA MC comparison
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
DATA MC comparison
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Outline
Introduction Theoretical tools Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
Outline
Introduction Analysis Results Conclusions
Dalitz plot analysis of with the KLOE experimentFrascati 19 Luglio 2007
@ KLOE
At KLOE is produced in the process .N(2001-2002) 17 Mevts. The final state for is 7, with almost no physical background.
BR() = 3.910-3