BABAR-PUB-10/021
SLAC-PUB-14329
The BABAR Collaboration
Analysis of the decay channel
Abstract
Using of data recorded by the BABAR detector at the PEP-II electron-positron collider, signal events for the decay channel are analyzed. This decay mode is dominated by the contribution. We determine the parameters: , and the Blatt-Weisskopf parameter where the first uncertainty comes from statistics and the second from systematic uncertainties. We also measure the parameters defining the corresponding hadronic form factors at (, ) and the value of the axial-vector pole mass parameterizing the variation of and : . The -wave fraction is equal to . Other signal components correspond to fractions below . Using the channel as a normalization, we measure the semileptonic branching fraction: = where the third uncertainty comes from external inputs. We then obtain the value of the hadronic form factor at : . Fixing the -wave parameters we measure the phase of the -wave for several values of the mass. These results confirm those obtained with production at small momentum transfer in fixed target experiments.
pacs:
13.20.Fc, 12.38.Gc, 11.30.Er, 11.15.Ha, 14.40.DfI Introduction
Detailed study of the decay channel is of interest for three main reasons:
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it allows measurements of the different resonant and non-resonant amplitudes that contribute to this decay. In this respect, we have measured the -wave contribution and searched for radially excited -wave and -wave components. Accurate measurements of the various contributions can serve as useful guidelines to -meson semileptonic decays where there are still missing exclusive final states with mass higher than the mass.
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High statistics in this decay allows accurate measurements of the properties of the meson, the main contribution to the decay. Both resonance parameters and hadronic transition form factors can be precisely measured. The latter can be compared with hadronic model expectations and Lattice QCD computations.
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Variation of the -wave phase versus the mass can be determined, and compared with other experimental determinations.
Meson-meson interactions are basic processes in QCD that deserve accurate measurements. Unfortunately, meson targets do not exist in nature and studies of these interactions usually require extrapolations to the physical region.
In the system, -wave interactions proceeding through isospin equal to states are of particular interest because, contrary to exotic final states, they depend on the presence of scalar resonances. Studies of the candidate scalar meson can thus benefit from more accurate measurements of the -wave phase below ref:seb0 . The phase variation of this amplitude with the mass also enters in integrals which allow the determination of the strange quark mass in the QCD sum rule approach ref:jamin1 ; ref:colangelo1 .
Information on the -wave phase in the isospin states and originates from various experimental situations, such as kaon scattering, Dalitz plot analyses, and semileptonic decays of charm mesons and leptons. In kaon scattering fixed target experiments ref:easta1 ; ref:lass1 , measurements from LASS (Large Aperture Solenoid Spectrometer) ref:lass1 start at , a value which is above threshold. Results from Ref. ref:easta1 start at but are less accurate. More recently, several high statistics 3-body Dalitz plot analyses of charm meson hadronic decays have become available ref:e791kpipi ; ref:focuskpipi ; ref:focuskpipi2 ; ref:kpipi_cleoc . They provide values starting at threshold and can complement results from scattering, but in the overlap region, they obtain somewhat different results. It is tempting to attribute these differences to the presence of an additional hadron in the final state. The first indication in this direction was obtained from the measurement of the phase difference between - and -waves versus in ref:babarpsikpi which agrees with LASS results apart from a relative sign between the two amplitudes. In this channel, the meson in the final state is not expected to interact with the system.
In decays into there is no additional hadron in the final state and only the amplitude contributes. A study of the different partial waves requires separation of the polarization components using, for instance, information from the decay of the other lepton. No result is available yet on the phase of the -wave ref:taubelle from these analyses. In there is also no additional hadron in the final state. All needed information to separate the different hadronic angular momentum components can be obtained through correlations between the leptonic and hadronic systems. This requires measurement of the complete dependence of the differential decay rate on the five-dimensional phase space. Because of limited statistics previous experiments ref:e687 ; ref:focus1 ; ref:cleoc1 have measured an -wave component but were unable to study its properties as a function of the mass. We present the first semileptonic charm decay analysis which measures the phase of the -wave as a function of from threshold up to 1.5 .
resonance | mass | width | ||
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X | ||||
(?) | ||||
Table 1 lists strange particle resonances that can appear in Cabibbo-favored semileptonic decays. states do not decay into and cannot be observed in the present analysis. The is a radial excitation and has a small branching fraction into . The has a mass close to the kinematic limit and its production is disfavored by the available phase space. Above the one is thus left with possible contributions from the , and which decay into through -, - and -waves, respectively. At low mass values one also expects an -wave contribution which can be resonant () or not. A question mark is placed after the as this state is not well established.
This paper is organized in the following way. In Section II general aspects of the system in the elastic regime, which are relevant to present measurements, are explained. In particular the Watson theorem, which allows the relating of the values of the hadronic phase measured in various processes, is introduced. In Section III, previous measurements of the -wave system are explained and compared. The differential decay distribution used to analyze the data is detailed in Section IV. In Section V a short description of the detector components which are important in this measurement is given. The selection of signal events, the background rejection, the tuning of the simulation and the fitting procedure are then considered in Section VI. Results of a fit which includes the -wave and signal components are given in Section VII. Since the fit model with only - and -wave components does not seem to be adequate at large mass, fit results for signal models which comprise and components are given in Section VIII. In the same section, fixing the parameters of the component, measurements of the phase difference between and waves are obtained, for several values of the mass. In Section IX, measurements of the studied semileptonic decay channel branching fraction, relative to the channel, and of its different components are obtained. This allows one to extract an absolute normalization for the hadronic form factors. Finally in Section X results obtained in this analysis are summarized.
II The system in the elastic regime region
The scattering amplitude () has two isospin components denoted and . Depending on the channel studied, measurements are sensitive to different linear combinations of these components. In , and decays, only the component contributes. The component was measured in reactions ref:easta1 whereas depends on the two isospin amplitudes: . In Dalitz plot analyses of 3-body charm meson decays, the relative importance of the two components has to be determined from data.
A given scattering isospin amplitude can be expanded into partial waves:
(1) |
where the normalization is such that the differential scattering cross-section is equal to:
(2) |
where and are the Mandelstam variables, is the scattering angle and is the Legendre polynomial of order .
Close to threshold, the amplitudes can be expressed as Taylor series:
(3) |
where and are, respectively, the scattering length and the effective range parameters, is the or momentum in the center-of-mass (CM). This expansion is valid close to threshold for . Values of and are obtained from Chiral Perturbation Theory ref:meiss1 ; ref:bijn1 . In Table 2 these predictions are compared with a determination ref:seb1 of these quantities obtained from an analysis of experimental data on scattering and . Constraints from analyticity and unitarity of the amplitude are used to obtain its behavior close to threshold. The similarity between predicted and fitted values of and is a non-trivial test of Chiral Perturbation Theory ref:bijn1 .
Parameter | ref:bijn1 | ref:seb1 |
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The complex amplitude can be also expressed in terms of its magnitude and phase. If the process remains elastic, this gives:
(4) |
Using the expansion given in Eq. (3), close to the threshold the phase is expected to satisfy the following expression:
(5) |
Using Eq. (3), (4) and (5) one can relate and to and :
(6) |
In Eq. 6, the symbol is the Kronecker function: , for .
The Watson theorem ref:watson implies that, in this elastic regime, phases measured in elastic scattering and in a decay channel in which the system has no strong interaction with other hadrons are equal modulo radians ref:leyaou for the same values of isospin and angular momentum. In this analysis, this ambiguity is solved by determining the sign of the -wave amplitude from data. This theorem does not provide any constraint on the corresponding amplitude moduli. In particular, it is not legitimate (though nonetheless frequently done) to assume that the -wave amplitude in a decay is proportional to the elastic amplitude . The scattering -wave, , remains elastic up to the threshold, but since the coupling to this channel is weak ref:keta , it is considered in practice to be elastic up to the threshold.
Even if the system is studied without any accompanying hadron, the - or -waves amplitudes cannot be measured in an absolute way. Phase measurements are obtained through interference between different waves. As a result, values quoted by an experiment for the phase of the -wave depend on the parameters used to determine the -wave. For the -wave, the validity domain of the Watson theorem is a-priori more restricted because the coupling to is no longer suppressed. However the dependence of the decay width implies that this contribution is an order of magnitude smaller than for .
For pseudoscalar-meson elastic scattering at threshold all phases are expected to be equal to zero (see Eq. (5)). This is another important difference as compared with Dalitz plot analyses where arbitrary phases exist between the different contributing waves due to interaction with the spectator hadron. It is thus important to verify if apart from a global constant -wave phases measured versus , in 3-body Dalitz plot analyses, depend on the presence of the third hadron. Comparison between present measurements and those obtained in three-body Dalitz plot analyses are given in Section VIII.2.
III Previous measurements
In the following sections, we describe previous measurements of the phase and magnitude of the -wave amplitude obtained in scattering at small transfer, in semileptonic decays, meson three-body decays, and in charm semileptonic decays.
III.1 production at small momentum transfer
A partial wave analysis of high statistics data for the reactions and at 13 , on events selected at small momentum transfer ref:easta1 , provided information on scattering for in the range . The scattering was studied directly from the analyses of and reactions. The phase of the elastic amplitude was measured and was used to extract the phase of the amplitude from measurements of scattering. Values obtained for are displayed in Fig. 1 for , a mass range in which the interaction is expected to remain elastic. Above there were several solutions for the amplitude.
A few years later, the LASS experiment analyzed data from 11 kaon scattering on hydrogen: ref:lass1 . They performed a partial wave analysis of events which satisfied cuts to ensure production dominated by pion exchange and no excitation of the target into baryon resonances.
The , , -wave was parameterized as the sum of a background term and the , which were combined such that the resulting amplitude satisfied unitarity:
where and depended on the mass.
The mass dependence of was described by means of an effective range parameterization:
(8) |
where is the scattering length and is the effective range. Note that these two parameters are different from and introduced in Eq. (3) as the latter referred to the total amplitude and also because Eq. (8) corresponds to an expansion near threshold which differs from Eq. (5). The mass dependence of was obtained assuming that the decay amplitude obeys a Breit-Wigner distribution:
(9) |
where is the pole mass of the resonance and its mass-dependent total width.
The total -wave phase was then:
(10) |
The LASS measurements were based on fits to moments of angular distributions which depended on the interference between -, -, -…waves. To obtain the -wave amplitude, the measured component ref:easta1 was subtracted from the LASS measurement of and the resulting values were fitted using Eq. (10). The corresponding results ref:Dunwoodie are given in Table 3 and displayed in Fig. 1.
Parameter | ||
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III.2 decays
The BABAR and Belle collaborations ref:taubabar ; ref:taubelle measured the mass distribution in . Results from Belle were analyzed in Ref. ref:taupich1 using, in addition to the :
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a contribution from the to the vector form factor;
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a scalar contribution, with a mass dependence compatible with LASS measurements but whose branching fraction was not provided.
Another interpretation of these data was given in Ref. ref:mouss2 . Using the value of the rate determined from Belle data, for the , its relative contribution to the channel was evaluated to be of the order of .
III.3 Hadronic meson decays
interactions were studied in several Dalitz plot analyses of three-body decays and we consider only as measured by the E791 ref:e791kpipi , FOCUS ref:focuskpipi ; ref:focuskpipi2 , and CLEO-c ref:kpipi_cleoc collaborations. This final state is known to have a large -wave component because there is no resonant contribution to the system. In practice each collaboration has developed various approaches and results are difficult to compare.
The -wave phase measured by these collaborations is compared in Fig. 2-a with the phase of the () amplitude determined from LASS data. Measurements from decays are shifted so that the phase is equal to zero for . The magnitude of the amplitude obtained in Dalitz plot analyses is compared in Fig. 2-b with the “naive” estimate given in Eq. (4), which is derived from the elastic () amplitude fitted to LASS data.
By comparing results obtained by the three experiments analyzing , several remarks are formulated.
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A component is included only in the CLEO-c measurement and it corresponds to of the decay rate.
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The relative importance of and components can be different in scattering and in a three-body decay. This is because, even if Watson’s theorem is expected to be valid, it applies separately for the and components and concerns only the corresponding phases of these amplitudes. In E791 and CLEO-c they measured the total -wave amplitude and compared their results with the component from LASS. FOCUS ref:focuskpipi , using the phase of the amplitude measured in scattering experiments, had fitted separately the two components and found large effects from the part. In Fig. 2-a the phase of the total -wave amplitude which contains contributions from the two isospin components, as measured by FOCUS ref:focuskpipi2 , is plotted.
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Measured phases in Dalitz plot analyses have a global shift as compared to the scattering case (in which phases are expected to be zero at threshold). Having corrected for this effect (with some arbitrariness), the variation measured for the phase in three-body decays and in scattering is roughly similar, but quantitative comparison is difficult. Differences between the two approaches as a function of are much larger than the quoted uncertainties. They may arise from the comparison itself, which considers the total -wave in one case and only the component for scattering. They could be due also to the interaction of the bachelor pion which invalidates the application of the Watson theorem.
It is thus difficult to draw quantitative conclusions from results obtained with decays. Qualitatively, one can say that the phase of the -wave component depends roughly similarly on as the phase measured by LASS. Below the , the -wave amplitude magnitude has a smooth variation versus . At the average mass value and above, this magnitude has a sharp decrease with the mass.
III.4 decays
The dominant hadronic contribution in the decay channel comes from the ( =) resonant state. E687 ref:e687 gave the first suggestion for an additional component. FOCUS ref:focus1 , a few years later, measured the -wave contribution from the asymmetry in the angular distribution of the in the rest frame. They concluded that the phase difference between - and -waves was compatible with a constant equal to , over the mass region.
In the second publication ref:focus2 they found that the asymmetry could be explained if they used the variation of the -wave component versus the mass measured by the LASS collaboration ref:lass1 . They did not fit to their data the two parameters that governed this phase variation but took LASS results:
(11) | |||||
These values corresponded to the total -wave amplitude measured by LASS which was the sum of and contributions whereas only the former component was present in charm semileptonic decays. For the -wave amplitude they assumed that it was proportional to the elastic amplitude (see Eq. (4)). For the -wave, they used a relativistic Breit-Wigner with mass dependent width ref:angles . They fitted the values of the pole mass, the width and the Blatt-Weisskopf damping parameter for the . These values from FOCUS are given in Table 4 and compared with present world averages ref:pdg10 . , dominated by the -wave measurements from LASS.
Parameter | FOCUS results ref:focus2 | previous results |
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ref:pdg10 | ||
ref:pdg10 | ||
ref:lass1 |
They also compared the measured angular asymmetry of the in the rest frame versus the mass with expectations from a resonance and conclude that the presence of a could be neglected. They used a Breit-Wigner distribution for the amplitude using values measured by the E791 collaboration ref:e791kappa for the mass and width of this resonance (). This approach to search for a does not seem to be appropriate. Adding a in this way violates the Watson theorem as the phase of the fitted amplitude would differ greatly from the one measured by LASS. In addition, the interpretation of LASS measurements in Ref. ref:seb1 concluded there was evidence for a . In addition to the they measured the rate for the non-resonant -wave contribution and placed limits on other components (Table 5).
Channel | FOCUS ref:focus2 () |
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C.L. | |
C.L. |
Analyzing events from a sample corresponding to integrated luminosity, the CLEO-c collaboration had confirmed the FOCUS result for the -wave contribution. They did not provide an independent measurement of the -wave phase ref:cleoc1 .
IV decay rate formalism
The invariant matrix element for the semileptonic decay is the product of a hadronic and a leptonic current.
(12) | |||||
In this expression, are the , and four-momenta, respectively.
The leptonic current corresponds to the virtual which decays into . The matrix element of the hadronic current can be written in terms of four form factors, but neglecting the electron mass, only three are contributing to the decay rate: and . Using the conventions of Ref. ref:wise1 , the vector and axial-vector components are, respectively:
(13) | |||
(14) |
As there are 4 particles in the final state, the differential decay rate has five degrees of freedom that can be expressed in the following variables ref:cab1 ; ref:pais1 :
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, the mass squared of the system;
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, the mass squared of the system;
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, where is the angle between the three-momentum in the rest frame and the line of flight of the in the rest frame;
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, where is the angle between the charged lepton three-momentum in the rest frame and the line of flight of the in the rest frame;
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, the angle between the normals to the planes defined in the rest frame by the pair and the pair. is defined between and .

The angular variables are shown in Fig. 3, where is the three-momentum in the CM and is the three-momentum of the positron in the virtual CM. Let be the unit vector along the direction in the rest frame, the unit vector along the projection of perpendicular to , and the unit vector along the projection of perpendicular to . We have:
(15) | |||
The definition of is the same as proposed initially in Ref. ref:cab1 . When analyzing decays, the sign of has to be changed. This is because, if invariance is assumed with the adopted definitions, changes sign through transformation of the final state ref:focus1 .
For the differential decay partial width, we use the formalism given in Ref. ref:wise1 , which generalizes to five variables the decay rate given in Ref. ref:rich1 in terms of and variables. In addition, it provides a partial wave decomposition for the hadronic system. Any dependence on the lepton mass is neglected as only electrons or positrons are used in this analysis:
(16) |
In this expression, where is the momentum of the system in the rest frame, and . is the breakup momentum of the system in its rest frame. The form factors and , introduced in Eq. (13-14), are functions of , and . In place of these form factors and to simplify the notations, the quantities are defined ref:wise1 :
(17) | |||||
The dependence of on and is given by:
where depend on and . These quantities can be expressed in terms of the three form factors, .
(19) | |||||
Form factors can be expanded into partial waves to show their explicit dependence on . If only -, - and -waves are kept, this gives:
(20) | |||||
Form factors depend on and . characterizes the -wave contribution whereas and correspond to the - and -wave, respectively.
IV.1 -wave form factors
By comparing expressions given in Ref. ref:wise1 and ref:rich1 it is possible to relate with the helicity form factors :
(21) | |||||
where is a constant factor, its value is given in Eq. (26); it depends on the definition adopted for the mass distribution. The helicity amplitudes can in turn be related to the two axial-vector form factors , and to the vector form factor :
(22) | |||||
As we are considering resonances which have an extended mass distribution, form factors can also have a mass dependence. We have assumed that the and dependence can be factorized:
(23) |
where in case of a resonance is assumed to behave according to a Breit-Wigner distribution.
This factorized expression can be justified by the fact that the dependence of the form factors is expected to be determined by the singularities which are nearest to the physical region: . These singularities are poles or cuts situated at (or above) hadron masses -, depending on the form factor. Because the variation range is limited to , the proposed approach is equivalent to an expansion in .
For the dependence we use a single pole parameterization and try to determine the effective pole mass.
(24) | |||||
where and are expected to be close to and respectively. Other parameterizations involving a double pole in have been proposed ref:doublepole , but as the present analysis is not sensitive to , the single pole ansatz is adequate.
Ratios of these form factors, evaluated at , and , are measured by studying the variation of the differential decay rate versus the kinematic variables. The value of is determined by measuring the branching fraction. For the mass dependence, in case of the , we use a Breit-Wigner distribution:
(25) |
In this expression:
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is the pole mass;
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is the total width of the for ;
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is the mass-dependent width: ;
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where is the Blatt-Weisskopf damping factor: , is the barrier factor, and are evaluated at the mass and respectively and depend also on the masses of the decay products.
With the definition of the mass distribution given in Eq. (25), the parameter entering in Eq. (21) is equal to:
(26) |
where .
IV.2 -wave form factor
In a similar way as for the -wave, we need to have the correspondence between the -wave amplitude (Eq. (IV)) and the corresponding invariant form factor. In an -wave, only the helicity form factor can contribute and we take:
(27) |
The term is proportional to to ensure that the corresponding decay rate varies as as expected from the angular momentum between the virtual and the -wave hadronic state. Because the variation of the form factor is expected to be determined by the contribution of states, we use the same dependence as for and . The term corresponds to the mass dependent -wave amplitude. Considering that previous charm Dalitz plot analyses have measured an -wave amplitude magnitude which is essentially constant up to the mass and then drops sharply above this value, we have used the following ansatz:
(28) | |||||
respectively for below and above the pole mass value. In these expressions, is the -wave phase, and . The coefficients have no dimension and their values are fitted, but in practice, the fit to data is sensitive only to the linear term. We have introduced the constant which measures the magnitude of the -wave amplitude. From the observed asymmetry of the distribution in our data, . This relative sign between and waves agrees with the FOCUS measurement ref:focus1 .
IV.3 -wave form factors
Expressions for the form factors for the -wave are ref:Seb_Dwave :
(29) | |||||
These expressions are multiplied by a relativistic Breit-Wigner amplitude which corresponds to the :
(30) |
measures the magnitude of the -wave amplitude and similar conventions as in Eq. (25) are used for the other variables apart from the Blatt-Weisskopf term which is equal to:
(31) |
and enters into
(32) |
The form factors () are parameterized assuming the single pole model with corresponding axial or vector poles. Values for these pole masses are assumed to be the same as those considered before for the - or -wave hadronic form factors. Ratios of -wave hadronic form factors evaluated at , and are supposed to be equal to one ref:dwave .
V The BABAR detector and dataset
A detailed description of the BABAR detector and of the algorithms used for charged and neutral particle reconstruction and identification is provided elsewhere ref:babar ; ref:babardet . Charged particles are reconstructed by matching hits in the five-layer double-sided silicon vertex tracker (SVT) with track elements in the 40 layer drift chamber (DCH), which is filled with a gas mixture of helium and isobutane. Slow particles which due to bending in the T magnetic field do not have enough hits in the DCH, are reconstructed in the SVT only. Charged hadron identification is performed combining the measurements of the energy deposition in the SVT and in the DCH with the information from the Cherenkov detector (DIRC). Photons are detected and measured in the CsI(Tl) electro-magnetic calorimeter (EMC). Electrons are identified by the ratio of the track momentum to the associated energy deposited in the EMC, the transverse profile of the shower, the energy loss in the DCH, and the Cherenkov angle in the DIRC. Muons are identified in the instrumented flux return, composed of resistive plate chambers and limited streamer tubes interleaved with layers of steel and brass.
The results presented here are obtained using a total integrated luminosity of . Monte Carlo (MC) simulation samples of decays, charm, and light quark pairs from continuum, equivalent to times the data statistics, respectively, and have been generated using Geant4 ref:geant4 . These samples are used mainly to evaluate background components. Quark fragmentation in continuum events is described using the JETSET package ref:jetset . The MC distributions are rescaled to the data sample luminosity, using the expected cross sections of the different components : nb for , nb for and , and nb for light , , and quark events. Dedicated samples of pure signal events, equivalent to 4.5 times the data statistics, are used to correct measurements for efficiency and finite resolution effects. Radiative decays are modeled by PHOTOS ref:photos . Events with a decaying into are also reconstructed in data and simulation. This control sample is used to adjust the -quark fragmentation distribution and the kinematic characteristics of particles accompanying the meson in order to better match the data. It is used also to measure the reconstruction accuracy of the missing neutrino momentum. Other samples with a , a , or a meson exclusively reconstructed are used to define corrections on production characteristics of charm mesons and accompanying particles that contribute to the background.
VI Analysis method
Candidate signal events are isolated from and continuum events using variables combined into two Fisher discriminants, tuned to suppress and continuum background events, respectively. Several differences between distributions of quantities entering in the analysis, in data and simulation, are measured and corrected using dedicated event samples.
VI.1 Signal Selection
The approach used to reconstruct mesons decaying into is similar to that used in previous analyses studying ref:kenu and ref:kkenu . Charged and neutral particles are boosted to the CM system and the event thrust axis is determined. A plane perpendicular to this axis is used to define two hemispheres.
Signal candidates are extracted from a sample of events already enriched in charm semileptonic decays. Criteria applied for first enriching selection are:
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an existence of a positron candidate with a momentum larger than in the CM frame, to eliminate most of light quark events. Positron candidates are accepted based on a tight identification selection with a pion misidentified as an electron or a positron below one per mill;
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a value of , being the ratio between second- and zeroth-order Fox-Wolfram moments ref:r2 , to decrease the contribution from decays;
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a minimum value for the invariant mass of the particles in the event hemisphere opposite to the electron candidate, , to reject lepton pairs and two-photon events;
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the invariant mass of the system formed by the positron and the most energetic particle in the candidate hemisphere, , to remove events where the lepton is the only particle in its hemisphere.
A candidate is a positron, a charged kaon, and a charged pion present in the same hemisphere. A vertex is formed using these three tracks, and the corresponding probability larger than are kept. The value of this probability is used in the following with other information to reject background events.
All other tracks in the hemisphere are defined as “spectators”. They most probably originate from the beam interaction point and are emitted during hadronization of the created and quarks. The “leading” particle is the spectator particle having the highest momentum. Information from the spectator system is used to decrease the contribution from the combinatorial background. As charm hadrons take a large fraction of the charm quark energy, charm decay products have, on average, higher energies than spectator particles.
To estimate the neutrino momentum, the system is constrained to the mass. In this fit, estimates of the direction and of the neutrino energy are included from measurements obtained from all tracks registered in the event. The direction estimate is taken as the direction of the vector opposite to the momentum sum of all reconstructed particles but the kaon, the pion, and the positron. The neutrino energy is evaluated by subtracting from the hemisphere energy the energy of reconstructed particles contained in that hemisphere. The energy of each hemisphere is evaluated by considering that the total CM energy is distributed between two objects of mass corresponding to the measured hemisphere masses ref:hemass . As a is expected to be present in the analyzed hemisphere and as at least a meson is produced in the opposite hemisphere, minimum values for hemisphere masses are imposed.
For a hemisphere , with the index of the other hemisphere noted as , the energy and the mass are defined as:
(33) | |||
The missing energy in a hemisphere is the difference between the hemisphere energy and the sum of the energy of the particles contained in this hemisphere (). In a given collision, some of the resulting particles might take a path close to the beam line, being therefore undetected. In such cases, as one uses all reconstructed particles in an event to estimate the meson direction, this direction is poorly determined. These events are removed by only accepting those in which the cosine of the angle between the thrust axis and the beam line, , is smaller than 0.7. In cases where there is a loss of a large fraction of the energy contained in the opposite hemisphere, the reconstruction of the is also damaged. To minimize the impact of these cases, events with a missing energy in the opposite hemisphere greater than 3 are rejected.
The mass-constrained fit also requires estimates of the uncertainties on the angles defining the direction and on the missing energy must also be provided. These estimates are parameterized versus the missing energy in the opposite hemisphere which is used to quantify the quality of the reconstruction in a given event. Parameterizations of these uncertainties are obtained in data and in simulation using events with a reconstructed , for which we can compare the measured direction with its estimate using the algorithm employed for the analyzed semileptonic decay channel. events also allow one to control the missing energy estimate and its uncertainty. Corresponding distributions obtained in data and with simulated events are given in Fig. 4. These distributions are similar, and the remaining differences are corrected as explained in Section VI.3.2.
Typical values for the reconstruction accuracy of kinematic variables, obtained by fitting the sum of two Gaussian distributions for each variable, are given in Table 6. These values are only indicative as the matching of reconstructed-to-generated kinematic variables of events in five dimensions is included, event-by-event, in the fitting procedure.
variable | fraction of events | ||
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in broadest Gaussian | |||
0.068 | 0.325 | 0.139 | |
0.145 | 0.5 | 0.135 | |
0.223 | 1.174 | 0.135 | |
0.081 | 0.264 | 0.205 | |
0.0027 | 0.010 | 0.032 |

VI.2 Background rejection
Background events arise from decays and hadronic events from the continuum. Three variables are used to decrease the contribution from events: , the total charged and neutral multiplicity, and the sphericity of the system of particles produced in the event hemisphere opposite to the candidate. These variables use topological differences between events with decays and events with fragmentation. The particle distribution in decay events tends to be isotropic as the mesons are heavy and produced near threshold, while the distribution in events is jet-like as the CM energy is well above the charm threshold. These variables are combined linearly in a Fisher discriminant ref:fisher , , and corresponding distributions are given in Fig. 5. The requirement retains of signal and 15 of -background events.

Background events from the continuum arise mainly from charm particles, as requiring an electron and a kaon reduces the contribution from light-quark flavors to a low level. Because charm hadrons take a large fraction of the charm quark energy, charm decay products have higher average energies and different angular distributions (relative to the thrust axis or to the direction) as compared to other particles in the hemisphere, emitted from the hadronization of the and quarks. The meson decays also at a measurable distance from the beam interaction point, whereas background event candidates contain usually a pion from fragmentation. Therefore, to decrease the amount of background from fragmentation particles in events, the following variables are used:
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the spectator system mass;
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the momentum of the leading spectator track;
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a quantity derived from the probability of the mass-constrained fit;
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a quantity derived from the vertex fit probability of the , and trajectories;
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the value of the momentum after the mass-constrained fit;
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the significance of the flight length of the from the beam interaction point until its decay point;
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•
the ratio between the significances of the distance of the pion trajectory to the decay position and to the beam interaction point.
Several of these variables are transformed such that distributions of resulting (derived) quantities have a bell-like shape. These seven variables are combined linearly into a Fisher discriminant variable () and the corresponding distribution is given in Fig. 6; events are kept for values above 0.5. This selection retains of signal events that were kept by the previous selection requirement on and rejects of the remaining background. About signal events are selected with a ratio . In the mass region of the this ratio increases to 4.6. The average efficiency for signal is and is uniform when projected onto individual kinematic variables. A loss of efficiency, induced mainly by the requirement of a minimal energy for the positron, is observed for negative values of and at low .

VI.3 Simulation tuning
Several event samples are used to correct differences between data and simulation. For the remaining decays, the simulation is compared to data as explained in Section VI.3.1. For events, corrections to the signal sample are different from those to the background sample. For signal, events with a reconstructed in data and MC are used. These samples allow us to compare the different distributions of the quantities entering in the definition of the and discriminant variables. Measured differences are then corrected, as explained below (Section VI.3.2). These samples are used also to measure the reconstruction accuracy on the direction and missing energy estimates for . For background events (Section VI.3.3), the control of the simulation has to be extended to , and production and to their accompanying charged mesons. Additional samples with a reconstructed exclusive decay of the corresponding charm mesons are used. Corrections are applied also on the semileptonic decay models such that they agree with recent measurements. Effects of these corrections are verified using wrong sign events (Section VI.3.4), which are used also to correct for the production fractions of charged and neutral -mesons. Finally, absolute mass measurement capabilities of the detector and the mass resolution are verified (Section VI.3.5) using and decay channels.
VI.3.1 Background from decays
The distribution of a given variable for events from the remaining background is obtained by comparing corresponding distributions for events registered at the resonance and 40 below. Compared with expectations from simulated events in Fig. 7, distributions versus the kinematic variables agree reasonably well in shape, within statistics, but the simulation needs to be scaled by . A similar effect was measured also in a previous analysis of the decay channel ref:kkenu .
VI.3.2 Simulation tuning of signal events
Events with a reconstructed candidate are used to correct the simulation of several quantities which contribute to the event reconstruction.

Using the mass distribution, a signal region, between 1.849 and 1.889 , and two sidebands (), are defined. A distribution of a given variable is obtained by subtracting from the corresponding distribution of events in the signal region half the content of those from sidebands. This approach is referred to as sideband subtraction in the following. It is verified with simulated events that distributions obtained in this way agree with those expected from true signal events.
control of the production mechanism:
the Fisher discriminants and are functions of several variables, listed in Section VI.2, which have distributions that may differ between data and simulation. For a given variable, weights are computed from the ratio of normalized distributions measured in data and simulation. This procedure is repeated, iteratively, considering the various variables, until corresponding projected distributions are similar to those obtained in data. There are remaining differences between data and simulation coming from correlations between variables. To minimize their contribution, the energy spectrum of is weighted in data and simulation to be similar to the spectrum of semileptonic signal events.
We have performed another determination of the corrections without requiring that these two energy spectra are similar. Differences between the fitted parameters obtained using the two sets of corrections are taken as systematic uncertainties.
control of the direction and missing energy measurements:
the direction of a fully reconstructed decay is accurately measured and one can therefore compare the values of the two angles, defining its direction, with those obtained when using all particles present in the event except those attributed to the decay signal candidate. The latter procedure is used to estimate of the direction for the decay . Distributions of the difference between angles measured with the two methods give the corresponding angular resolutions. This event sample allows also one to compare the missing energy measured in the hemisphere and in the opposite hemisphere for data and simulated events. These estimates for the direction and momentum, and their corresponding uncertainties are used in a mass-constrained fit.
For this study, differences between data and simulation in the fragmentation characteristics are corrected as explained in the previous paragraph. Global cuts similar to those applied for the analysis are used such that the topology of selected events is as close as possible to that of semileptonic events. Comparisons between angular resolutions measured in data and simulation indicate that the ratio data/MC is 1.1 in the tails of the distributions (Fig. 4). Corresponding distributions for the missing energy measured in the signal hemisphere (), in data and simulation, show that these distributions have an offset of about 100 (Fig. 4) which corresponds to energy escaping detection even in absence of neutrinos. To evaluate the neutrino energy in semileptonic decays this bias is corrected on average.
The difference between the exact and estimated values of the two angles and missing energy is measured versus the value of the missing energy in the opposite event hemisphere (). This last quantity provides an estimate of the quality of the energy reconstruction for a given event. In each slice of , a Gaussian distribution is fitted and corresponding values of the average and standard deviation are measured. As expected, the resolution gets worse when increases. These values are used as estimates for the bias and resolution for the considered variable. Fitted uncertainties are slightly higher in data than in the simulation. From these measurements, a correction and a smearing are defined as a function of . They are applied to simulated event estimates of and . This additional smearing is very small for the direction determination and is typically on the missing energy estimate.
After applying corrections, the resolution on simulated events becomes slightly worse than in data. When evaluating systematic uncertainties we have used the total deviation of fitted parameters obtained when applying or not applying the corrections.
VI.3.3 Simulation tuning of charm background events from continuum
As the main source of background originates from track combinations in which particles are from a charm meson decay, and others from hadronization, it is necessary to verify that the fragmentation of a charm quark into a charm meson and that the production characteristics of charged particles accompanying the charm meson are similar in data and in simulation.
In addition, most background events contain a lepton from a charm hadron semileptonic decay. The simulation of these decays is done using the ISGW2 model ref:isgw2 , which does not agree with recent measurements ref:kenu , therefore all simulated decay distributions are corrected.
Corrections on charm quark hadronization:
for this purpose, distributions obtained in data and MC are compared. We study the event shape variables that enter in the Fisher discriminant and for variables entering into , apart from probability of the mass-constrained fit which is peculiar to the analyzed semileptonic decay channel. Production characteristics of charged pions and kaons emitted during the charm quark fragmentation, are also measured, and their rate, momentum, and angle distribution relative to the simulated direction are corrected. These corrections are obtained separately for particles having the same or the opposite charge relative to the charm quark forming the hadron. Corrections consist of a weight applied to each simulated event. This weight is obtained iteratively, correcting in turn each of the considered distributions. Measurements are done for , (vetoing from decays) and for . For mesons, only the corresponding -quark fragmentation distribution is corrected.

Correction of D semileptonic decay form factors:
by default, semileptonic decays are generated in EvtGen ref:evtgen using the ISGW2 decay model which does not reproduce present measurements (this was shown for instance in the BABAR analysis of ref:kenu ). Events are weighted such that they correspond to hadronic form factors behaving according to the single pole parameterization as in Eq. (24).
For decay processes of the type , where is a pseudoscalar meson, the weight is proportional to the square of the ratio between the corresponding hadronic form factors, and the total decay branching fraction remains unchanged after the transformation. For all Cabibbo-favored decays a pole mass value equal to ref:kenu is used whereas for Cabibbo-suppressed decays ref:cleo_pienu is taken. This value of the pole mass is used also for semileptonic decays into a pseudoscalar meson. For decay processes of the type , where and are respectively pseudoscalar and vector mesons, corrections depend on the mass of the hadronic system, and on and . They are evaluated iteratively using projections of the differential decay rate versus these variables, as obtained in EvtGen and in a simulation which contains the expected distribution. To account for correlations between these variables, once distributions agree in projection, binned distributions over the five dimensional space are compared and a weight is measured in each bin. For Cabibbo-allowed decays, events are distributed over 2800 bins, similar to those defined in Section VI.4; 243 bins are used for Cabibbo-suppressed decays. Apart for the resonance mass and width which are different for each decay channel, the same values, given in Table 7, are used for the other parameters which determine the differential decay rate.
For decay channels an -wave component is added with the same characteristics as in the present measurements. Other decay channels included in EvtGen ref:evtgen and contributing to this same final state, such as a constant amplitude and the components, are removed as they are not observed in data.
All branching fractions used in the simulation agree within uncertainties with the current measurements ref:pdg10 (apart for , which is then rescaled). Only the shapes of charm semileptonic decay distributions are corrected.
Systematic uncertainties related to these corrections are estimated by varying separately each parameter according to its expected uncertainty, given in Table 7.
parameter | central | variation |
value | interval | |
VI.3.4 Wrong sign event analysis
Wrong-sign (WS) events of the type are used to verify if corrections applied to the simulation improve the agreement with data, because the origin of these events is quite similar to that of the background contributing in right-sign (RS) events. The ratio between the measured and expected number of WS events is . In RS events the number of background candidates is a free parameter in the fit.
At this point corrections have been evaluated separately for charged and neutral mesons. As the two charged states correspond to background distributions having different shapes, it is also possible to correct for their relative contributions. We improve the agreement with data by increasing the fraction of events with a meson in MC by 4 and correspondingly decreasing the fraction of by . After corrections, projected distributions of the five kinematic variables obtained in data and simulation are given in Fig. 8.
VI.3.5 Absolute mass scale.
The absolute mass measurement is verified using exclusive reconstruction of charm mesons in data and simulation. For candidate events , the mean and RMS values of the mass distribution are measured from a fit of the sum to a Gaussian distribution for the signal and a first order polynomial for the background. The mass reconstructed in simulation is very close to expectation, , whereas in data it differs by . Here is the difference between the reconstructed and the exact or the world average mass values when analyzing MC or data respectively. The uncertainty quoted for is from Ref. ref:pdg10 . To correct for this effect the momentum () of each track in data, measured in the laboratory frame, is increased by an amount: . The standard deviation of the Gaussian fitted on the signal is slightly smaller in simulation, , than in data, . The difference between the widths of reconstructed signals in the two samples, is measured versus the transverse momentum of the tracks emitted in the decay. In simulation, the measured transverse momenta of the tracks are smeared to correct for this difference.
Having applied these corrections, mass distributions, for the decay obtained in data and simulation are compared. The standard deviation of the fitted Gaussian distribution on signal is now similar in data and simulation. The reconstructed mass is higher by in simulation (on which no correction was applied) and by in data. These remaining differences are not corrected and included as uncertainties.
VI.4 Fitting procedure
A binned distribution of data events is analyzed. The expected number of events in each bin depends on signal and background estimates and the former is a function of the values of the fitted parameters.
We perform a minimization of a negative log-likelihood distribution. This distribution has two parts. One corresponds to the comparison between measured and expected number of events in bins which span the five dimensional space of the differential decay rate. The other part uses the distribution of the values of the Fisher discriminant variable to measure the fraction of background events.
There are respectively 5, 5 and 4 equal size bins for the variables , and . For and we use respectively 4 and 7 bins of different size such that they contain approximately the same number of signal events. There are 2800 bins () in total.
The likelihood expression is:
(34) | |||||
where is the number of data events in bin and is the sum of MC estimates for signal and background events in the same bin. is the Poisson probability for having events in bin where events are expected, on average, where:
(35) | |||||
The summation to determine extends over all generated signal events which are reconstructed in bin . The terms are, respectively, the values of parameters used in the fit and those used to produce simulated events. is the value of the expression for the decay rate (see Eq. (16)) for event using the set of parameters . In these expressions, generated values of the kinematic variables are used. is the weight applied to each signal event to correct for differences between data and simulation. It is left unchanged during the fit. is the estimated number of background events in bin given by the simulation, corrected for measured differences with data, as explained in Section VI.3. is the estimated total number of background events.
and are respectively the total number of signal and background events fitted in the data sample which contains events. and are the probability density functions for signal and background, respectively, evaluated at the value of the variable for event . The following expressions are used :
(36) |
and values of the corresponding parameters and are determined from fits to binned distributions of in simulated signal and background samples. and are normalization factors. In Fig. 9 these two distributions are drawn to illustrate their different behavior versus the values of for signal and background events. As expected, the distribution has higher values at low than the corresponding distribution for signal.
VI.4.1 Background smoothing
As the statistics of simulated background events for the charm continuum is only times the data, biases appear in the determination of the fit parameters if we use simply, as estimates for background in each bin, the actual values obtained from the MC. Using a parameterized event generator, this effect is measured using distributions of the difference between the fitted and exact values of a parameter divided by its fitted uncertainty (pull distributions). To reduce these biases, a smoothing ref:Cranmer of the background distribution is performed. It consists of distributing the contribution of each event, in each dimension, according to a Gaussian distribution. In this procedure correlations between variables are neglected. To account for boundary effects, the dataset is reflected about each boundary. is essentially uncorrelated with all other variables and in particular with . Therefore, for each bin in (), a smoothing of the and distributions is done in the hypothesis that these two variables are independent.

VII hadronic form factor measurements
We first consider a signal made of the and -wave components. Using the LASS parameterization of the -wave phase versus the mass (Eq. (10)), values of the following quantities (quoted in Table 8 second column) are obtained from a fit to data :
-
•
parameters of the Breit-Wigner distribution: , , and , the Blatt-Weisskopf parameter;
-
•
parameters of the hadronic form factors: , and . The parameter which determines the variation of the vector form factor is fixed to ;
- •
-
•
and finally the total numbers of signal and background events, and .
variable | |||
---|---|---|---|
fixed | fixed | ||
fixed | |||
fixed | |||
Fit probability |
Apart from the effective range parameter, , all other quantities are accurately measured. Values for the -wave parameters depend on the parameterization used for the -wave and as the LASS experiment includes a and other components one cannot directly compare our results on and with those of LASS. We have obtained the first measurement for which gives the variation of the axial vector hadronic form factors. Using the values of fitted parameters and integrating the corresponding differential decay rates, fractions of - and -wave are given in the second column of Table 9.
Component | |||
-wave | |||
-wave | |||
-wave |
Projected distributions, versus the five variables, obtained in data and from the -wave + fit result are displayed in Fig. 10. The total of this fit is 2914 for 2787 degrees of freedom which corresponds to the probability of 4.6. Fit results including the and -wave are discussed in Section VIII.

VII.1 Systematic uncertainties
The systematic uncertainty on each fitted parameter () is defined as the difference between the fit results in nominal conditions and those obtained, , after changing a variable or a condition () by an amount which corresponds to an estimate of the uncertainty in the determination of this quantity:
(37) |
Values are given in Table 10. Some of the corrections induce a variation on the distributions for signal or background which are therefore reevaluated.
VII.1.1 Signal production and decay
Corrections of distributions of Fisher input variables (I):
the signal control sample is corrected as explained in Section VI.3.2. The corresponding systematic uncertainty is obtained by defining new event weights without taking into account that the momentum distribution of reconstructed mesons is different in hadronic and in semileptonic samples.
Simulation of radiative events (II):
most of radiative events correspond to radiation from the charged lepton, although a non-negligible fraction comes from radiation of the decay products. In , by comparing two generators (PHOTOS ref:photos and KLOR ref:klor ), the CLEO-c collaboration has used a variation of to evaluate corresponding systematic uncertainties ref:cleocrad . We have increased the fraction of radiative events (simulated by PHOTOS) by 30 (keeping constant the total number of events) and obtained the corresponding variations on fitted parameters.
variation | ||||||||||||
signal | ||||||||||||
I | -0.13 | -0.16 | -0.10 | -0.18 | 0.28 | 0.18 | -0.40 | -0.43 | 0.02 | 0.00 | -0.36 | 0.44 |
II | -0.36 | 0.07 | 0.02 | -0.11 | 0.34 | 0.10 | 0.26 | 0.20 | 0.17 | 0.21 | -0.21 | 0.26 |
III | 0.21 | 0.13 | 0.27 | 0.69 | 0.78 | 0.51 | 0.17 | 0.16 | 0.29 | 0.17 | 0.18 | 0.22 |
IV | 0.29 | 0.36 | 0.20 | -0.18 | 0.07 | -0.25 | 0.15 | 0.19 | -0.31 | -0.23 | 0.57 | -0.70 |
bkg. | ||||||||||||
V | -0.06 | 0.32 | 0.09 | 0.22 | -0.13 | 0.03 | 0.30 | 0.31 | 0.14 | 0.30 | -0.09 | 0.11 |
bkg. | ||||||||||||
VI | -0.04 | 0.21 | -0.61 | 0.10 | -0.08 | 0.07 | 0.33 | 0.32 | 0.13 | 0.27 | 0.06 | -0.08 |
VII | 0.53 | 0.19 | 0.14 | 0.16 | 0.13 | 0.07 | 0.10 | 0.10 | 0.17 | 0.19 | 0.16 | 0.22 |
VIII | 0.24 | 0.36 | 0.11 | -0.49 | 0.85 | 0.04 | -0.76 | -0.68 | -0.77 | 1.02 | 0.76 | -0.91 |
Fitting procedure | ||||||||||||
IX | 0.13 | 0.17 | 0.25 | 0.29 | 0.30 | 0.25 | 0.25 | 0.25 | 0.32 | 0.32 | 0.13 | 0.13 |
X | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 |
XI | 0.00 | 0.00 | 0.07 | 0.07 | 1.15 | 0.08 | 0.05 | 0.05 | 1.43 | 0.46 | 0.01 | 0.01 |
XII | -0.93 | -0.06 | 0.09 | 0.09 | -0.05 | 0.04 | 0.03 | 0.02 | 0.07 | -0.05 | 0.00 | 0.00 |
1.41 | 1.00 | 1.06 | 1.21 | 1.87 | 0.97 | 1.27 | 1.23 | 1.87 | 1.47 | 1.29 | 1.48 |
Particle identification efficiencies (III):
the systematic uncertainty is estimated by not correcting for remaining differences between data and MC on particle identification.
Estimates of the values and uncertainties for the direction and missing energy (IV):
in Section VI.3.2 it is observed that estimates of the direction and energy are more accurate in the simulation than in data. After applying smearing corrections, the result of this comparison is reversed. The corresponding systematic uncertainty is equal to the difference on fitted parameters obtained with and without smearing.
VII.1.2 background correction (V)
The number of remaining background events expected from simulation is rescaled by (see Section VI.3.1). The uncertainty on this quantity is used to evaluate corresponding systematic uncertainties.
VII.1.3 Corrections to the background
Fragmentation associated systematic uncertainties (VI):
after applying corrections explained in Section VI.3.3, the remaining differences between data and simulation for the considered distributions are five times smaller. Therefore, 20 of the full difference measured before applying corrections is used as the systematic uncertainty.
Form-factor correction systematics (VII):
corresponding systematic uncertainties depend on uncertainties on parameters used to model the differential semileptonic decay rate of the various charm mesons (see Section VI.3.3).
Hadronization-associated systematic uncertainties (VIII):
using WS events, it is found in Section VI.3.4 that the agreement between data and simulation improves by changing the hadronization fraction of the different charm mesons. Corresponding variations of relative hadronization fractions are compatible with current experimental uncertainties on these quantities. The corresponding systematic uncertainty is obtained by not applying these corrections.
VII.1.4 Fitting procedure
Background Smoothing (IX):
the MC background distribution is smoothed as explained in Section VI.4.1. The evaluation of the associated systematic uncertainty is performed by measuring with simulations based on parameterized distributions, the dispersion of displacements of the fitted quantities when the smoothing is or is not applied in a given experiment. It is verified that uncertainties on the values of the two parameters used in the smoothing have negligible contributions to the resulting uncertainty.
Limited statistics of simulated events (X):
fluctuations of the number of MC events in each bin are not included in the likelihood expression, therefore one quantifies this effect using fits on distributions obtained with a parameterized event generator. Pull distributions of fitted parameters, obtained in similar conditions as in data, have an RMS of 1.2. This increase is attributed to the limited MC statistics used for the signal (4.5 times the data) and, also, from the available statistics used to evaluate the background from continuum events. We have included this effect as a systematic uncertainty corresponding to 0.7 times the quoted statistical uncertainty of the fit. It corresponds to the additional fluctuation needed to obtain a standard deviation of 1.2 of the pull distributions.
VII.1.5 Parameters kept constant in the fit (XI).
The signal model has three fixed parameters, the vector pole mass and the mass and width of the resonance. Corresponding systematic uncertainties are obtained by varying the values of these parameters. For a variation is used, whereas for the other two quantities we take respectively and ref:pdg10 .
VII.1.6 Absolute mass scale (XII).
When corrections defined in Section VI.3.5 are applied, in data and simulation, for the decay channel, the fitted mass in data increases by and its width decreases by . The uncertainty on the absolute mass measurement of the is obtained by noting that a mass variation, , of the reference signal is reduced by a factor of four in the mass region; this gives:
(38) | |||||
In this expression, is the uncertainty on the mass ref:pdg10 and is the difference between the reconstructed and exact values of the mass in
variation | |||||||||||||
signal | |||||||||||||
(I) | 0.17 | 0.05 | -0.23 | -0.22 | -0.31 | 0.18 | 0.14 | -0.14 | -0.13 | 0.23 | -0.19 | -0.39 | 0.45 |
(II) | -0.18 | 0.06 | -0.01 | -0.14 | -0.36 | 0.09 | -0.10 | 0.08 | 0.05 | -0.08 | -0.08 | -0.23 | 0.26 |
(III) | 0.02 | 0.10 | 0.06 | 0.70 | 0.73 | 0.53 | 0.14 | 0.07 | 0.41 | 0.08 | 0.22 | 0.10 | 0.12 |
(IV) | -0.13 | 0.03 | 0.29 | -0.18 | -0.04 | -0.27 | -0.02 | 0.02 | -0.17 | -0.18 | 0.32 | 0.61 | -0.70 |
bkg. | |||||||||||||
(V) | -0.41 | -0.04 | 0.34 | 0.26 | 0.16 | 0.05 | -0.12 | 0.12 | 0.08 | -0.46 | 0.22 | -0.01 | 0.02 |
bkg. | |||||||||||||
(VI) | -0.14 | 0.07 | -0.08 | 0.13 | 0.09 | 0.09 | -0.16 | 0.14 | -0.01 | -0.24 | -0.03 | 0.08 | -0.09 |
(VII) | 0.09 | 0.08 | 0.14 | 0.19 | 0.14 | 0.08 | 0.18 | 0.15 | 0.06 | 0.10 | 0.11 | 0.14 | 0.18 |
(VIII) | -0.44 | -0.19 | 0.59 | -0.48 | -0.75 | 0.04 | 0.98 | -0.94 | 0.28 | -0.42 | -0.21 | 1.03 | -1.23 |
Fitting procedure | |||||||||||||
(IX) | 0.13 | 0.17 | 0.25 | 0.29 | 0.30 | 0.25 | 0.25 | 0.25 | 0.32 | 0.30 | 0.30 | 0.13 | 0.13 |
(X) | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 | 0.70 |
(XI) | 0.27 | 0.12 | 0.29 | 0.07 | 1.15 | 0.08 | 0.57 | 0.55 | 3.25 | 0.89 | 0.40 | 0.09 | 0.10 |
(XII) | -0.33 | -0.05 | 0.03 | 0.09 | 0.05 | 0.04 | -0.05 | 0.03 | 0.06 | -0.02 | -0.01 | -0.02 | 0.02 |
1.08 | 0.78 | 1.13 | 1.24 | 1.81 | 0.99 | 1.40 | 1.35 | 3.39 | 1.39 | 1.02 | 1.48 | 1.69 |
simulation (see Section VI.3.5). Uncertainty on the width measurement from track resolution effects is negligible.
VII.1.7 Comments on systematic uncertainties
The total systematic uncertainty is obtained by summing in quadrature the various contributions. The main systematic uncertainty on comes from the assumed variation for the parameter because these two parameters are correlated. Values of the parameters and depend on the mass and width of the because the measured -wave phase is the sum of two components: a background term and the .

VIII Including other components
A contribution to the -wave from the radial excitation was measured by LASS ref:lass1 in interactions at small transfer and in decays ref:taubelle . As is discussed in the following, even if the statistical significance of a signal at high mass does not reach the level to claim an observation, data favor such a contribution and a signal containing the , the and an -wave components is considered as our nominal fit to data.
To compare present results for the -wave with LASS measurements a possible contribution from the is included in the signal model. It is parameterized using a similar Breit-Wigner expression as for the resonance. The L=1 form factor components are in this case written as:
(39) | |||||
where stands for the Breit-Wigner distribution (Eq. (25)) and for that of the . As the phase space region where this last component contributes is scarcely populated (high mass), this analysis is not highly sensitive to the exact shape of the resonance. Therefore the Breit-Wigner parameters of the (given in Table 1) are fixed and only the relative strength () and phase () are fitted. For the same reason, the value of is fixed to the LASS result (given in Table 3).


VIII.1 Results with a contribution included
Results are presented in Table 8 (third column) using the same -wave parameterization as in Section VII. They correspond to the central results of this analysis.
The total value is 2901 and the number of degrees of freedom is 2786. This corresponds to a probability of . Systematic uncertainties, evaluated as in Section VII.1, are given in Table 11. The statistical error matrix of fitted parameters, a table showing individual contribution of sources of systematic uncertainties, which were grouped in the entries of Tab. 11 labelled III, VII and XI, and the full error matrix of systematic uncertainties are given in A. Projected distributions versus the five variables obtained in data and from the fit result are displayed in Fig. 11. Measured and fitted distributions of the values of the discriminant variable are compared in Fig. 12.
The comparison between measured and fitted, background subtracted, mass distributions is given in Fig. 13. Results of a fit in which the width of the resonance is fixed to (the value quoted in 2008 by the Particle Data Group) are also given.
Background subtracted projected distributions versus for values higher than 1 , obtained in data and using the fit results with and without including the , are displayed in Fig. 14.
The measured fraction of the is compatible with the value obtained in decays ref:taubelle . The relative phase between the and is compatible with zero, as expected. Values of the hadronic form factor parameters for the decay are almost identical with those obtained without including the . The fitted value for is compatible with the result from LASS reported in Table 3.




The total fraction of the -wave is compatible with the previous value. Fractions for each component are given in the third column of Table 9.
Considering several mass intervals, background subtracted projected distributions versus the four other variables, obtained in data and from the fit results, are displayed in Fig. 15 to 18.
variation | |||||||||||||
(I) | 0.23 | -0.08 | -0.13 | -0.16 | 0.02 | -0.07 | -0.09 | 0.08 | 0.05 | -0.06 | 0.01 | 0.01 | -0.09 |
(II) | -0.34 | 0.02 | 0 | -0.03 | 0.04 | 0.01 | -0.01 | 0.01 | 0.21 | -0.14 | -0.03 | 0.04 | 0.17 |
(III) | -0.01 | -0.05 | -0.11 | -0.11 | 0.05 | -0.03 | -0.11 | 0.29 | 0.55 | 0.05 | 0.10 | 0.04 | 0.03 |
(IV) | -0.92 | 0.26 | -0.12 | -0.14 | -0.08 | 0.12 | 0.02 | -0.11 | 0 | -0.21 | -0.22 | -0.03 | 0.50 |
bkg. | |||||||||||||
(V) | -1.05 | 0.17 | -0.03 | -0.08 | 0.17 | 0.21 | 0.27 | 0.14 | -0.12 | -0.36 | -0.36 | -0.19 | 0.59 |
bkg. | |||||||||||||
(VI) | -0.17 | -0.01 | 0.16 | 0.12 | -0.02 | 0.01 | -0.01 | 0.01 | 0.01 | -0.03 | -0.05 | -0.05 | -0.08 |
(VII) | 0.15 | 0.09 | 0.11 | 0.13 | 0.20 | 0.11 | 0.08 | 0.03 | 0.09 | 0.11 | 0.13 | 0.10 | 0.06 |
(VIII) | -2.85 | -0.36 | -0.22 | -0.19 | -0.12 | -0.37 | -0.1 | 0.59 | 0.82 | 0.27 | 0.15 | 0.14 | 1.29 |
Fitting procedure | |||||||||||||
(IX) | 0.60 | 0.60 | 0.60 | 0.60 | 1.06 | 0.64 | 0.47 | 0.42 | 0.40 | 0.49 | 0.54 | 0.63 | 0.82 |
(X) | 0.70 | 0.70 | 0.60 | 0.61 | 0.53 | 0.54 | 0.53 | 0.53 | 0.78 | 0.54 | 0.53 | 0.54 | 0.98 |
(XI) | 1.07 | 0.27 | 0.23 | 0.26 | 0.16 | 0.07 | 0.09 | 0.16 | 0.28 | 0.16 | 0.14 | 0.14 | 0.53 |
(XII) | -0.49 | 0.01 | -0.01 | -0.04 | -0.03 | 0.12 | 0 | 0.33 | 0.50 | 0.10 | 0.12 | 0.14 | 0.27 |
3.70 | 1.09 | 0.94 | 0.96 | 1.24 | 0.99 | 0.83 | 1.04 | 1.47 | 0.99 | 0.98 | 0.91 | 2.07 |
VIII.2 Fit of the contribution and of the -wave amplitude and phase
Fixing the parameters which determine the contribution to the values obtained in the previous fit, we measure the -wave parameters entering in Eq. (28) in which the -wave phase is assumed to be a constant within each of the considered mass intervals.Values of which correspond to the center and to half the width of each mass interval are given in Table 13. The two parameters which define the are also fitted. Numbers of signal and background events are fixed to their previously determined values. Values of fitted parameters are given in Table 14.
mass bin | ||
---|---|---|
0.707 | 0.019 | |
0.761 | 0.035 | |
0.828 | 0.032 | |
0.880 | 0.020 | |
0.955 | 0.055 | |
1.047 | 0.037 | |
1.125 | 0.041 | |
1.205 | 0.039 | |
1.422 | 0.178 |
variable | result | ||
---|---|---|---|
2.0 | 14.8 | ||
4.4 | 26.9 | ||
13.6 | 16.9 | ||
54.0 | -19.3 | ||
152.2 | -104.4 | ||
161.4 | -106.4 | ||
159.1 | -87.9 | ||
148.1 | -87.5 | ||
130.9 | -45.6 |
The variation of the -wave phase is given in Fig. 19 and compared with LASS results and with the result found in Section VIII where the -wave phase variation was parameterized versus the mass.

Systematic uncertainties are given in Table 12.
In Fig. 20 measured values of the -wave phase obtained by various experiments in the elastic region are compared. Fig. 20-a is a zoom of Fig. 19. Fig. 20-b to -d compare present measurements with those obtained in Dalitz plot analyses of the decay . For the latter, the -wave phase is obtained by reference to the phase of the amplitude of one of the contributing channels in this decay. To draw the different figures it is assumed that the phase of the -wave is equal at to the value given by the fitted parameterization on LASS data. It is difficult to draw clear conclusions from these comparisons as Dalitz plot analyses do not provide usually the phase of the amplitude alone but the phase for the total -wave amplitude.
VIII.3 measurement
As explained in previous sections, measurements are sensitive to the phase difference between - and -waves. This quantity is given in Fig. 21 for different values of the mass using results from the fit explained in Section VIII.2. Similar values are obtained if the is not included in the -wave.

VIII.4 Search for a -wave component
A -wave component, assumed to correspond to the , is added in the signal model using expressions given in Eq. (IV) and (IV.3-32). As the phase of the , relative to the , is compatible with zero this value is imposed in the fit. For the -wave, its phase is allowed to be zero or . Fit results are given in the last column of Table 8. The total value is 2888 and the number of degrees of freedom is 2786. This corresponds to a probability of . The value zero is favored for . The fraction of the decay rate which corresponds to the wave is given in Table 9 and is similar to the fraction.
IX Decay rate measurement
The branching fraction is measured relative to the reference decay channel, . Specifically, in Eq. (IX) we compare the ratio of rates for the decays and in data and simulated events: this way, many systematic uncertainties cancel:
Introducing the reconstruction efficiency measured for the two channels with simulated events, this expression can be written:
(41) | |||||
The first line in this expression is the product between the ratio of measured number of signal events in data for the semileptonic and hadronic channels, and the ratio of the corresponding integrated luminosities analyzed for the two channels:
(42) |
The second line of Eq. (41) corresponds to the ratio between efficiencies in data and in simulation, for the two channels. The last line is the ratio between efficiencies for the two channels measured using simulated events. Considering that a special event sample is generated for the semileptonic decay channel, in which each event contains a decay , whereas the is reconstructed using the generic simulation, the last term in Eq. (41) is written:
(43) | |||
where:
-
•
is the number of generated signal events;
-
•
is the number of events analyzed to reconstruct the channel;
-
•
is the probability that a -quark hadronizes into a in simulated events. The is prompt or is cascading from a higher mass charm resonance;
-
•
is the branching fraction used in the simulation.
IX.1 Selection of candidate signal events
To minimize systematic uncertainties, common selection criteria are used, as much as possible, to reconstruct the two decay channels.
IX.1.1 The decay channel
As compared to the semileptonic decay channel, the selection criteria described in Section VI.1 are used, apart for those involving the lepton. The number of signal candidates is measured from the mass distribution, after subtraction of events situated in sidebands. The signal region corresponds to the mass interval whereas sidebands are selected within and . Results are given in Table 15 and an example of the mass distribution measured on data is displayed in Fig. 22.

The following differences between data and simulation are considered:
-
•
the signal mass interval.
Table 15: Measured numbers of signal events in data and simulation satisfying . Channel Data Simulation Procedures have been defined in Section VI.3.5 such that the average mass and width of the reconstructed signal in data and simulated events are similar.
-
•
the Dalitz plot model. Simulated events are generated using a model which differs from present measurements of the event distribution over the Dalitz plane. Measurements from CLEO-c ref:kpipi_cleoc are used to reweight simulated events and we measure that the number of reconstructed signal events changes by a factor . This small variation is due to the approximately uniform acceptance of the analysis for this channel.
-
•
the pion track. As compared with the final state, there is a in place of the in the reference channel. As there is no requirement on the PID for this pion we have considered that possible differences between data and simulation on tracking efficiency cancel when considering the simultaneous reconstruction of the pion and the electron. What remains is the difference between data and simulation for electron identification which is included in the evaluation of systematic uncertainties.
IX.1.2 The decay channel
The same data sample as used to measure the is analyzed. Signal events are fitted as in Section VII. The stability of the measurement is verified versus the value of the cut on which is varied between 0.4 and 0.7. Over this range the number of signal and background events change by factors 0.62 and 0.36 respectively. The variation of the ratio between the number of selected events,
(44) |
in data and simulation is given in Table 16.
Relative to the value for the nominal cut (), the value of for is higher by and for it is higher by . Quoted uncertainties take into account events that are common when comparing the samples. These variations are compatible with statistical fluctuations and no additional systematic uncertainty is included.
To select semileptonic decay candidates a cut is applied on the probability of the mass-constrained fit at . In a previous analysis of the decay ref:kenu we measured a value of for the ratio between the efficiency of this cut in simulation and data. We use the same value in the present analysis because this probability depends on the capability to reconstruct the direction and momentum and to estimate corresponding uncertainties on these quantities which are obtained, not from the studied decay channel, but from the rest of the event.
IX.2 Decay rate measurement
Measurement of the branching fraction and of the contributing wave, , and components is important to verify if the sum of exclusive channels in -meson semileptonic decays agrees with the inclusive value. From the measurement of the value of is obtained and provides, with and , the absolute normalization for the corresponding hadronic form factors. These values can be compared with Lattice QCD determinations.
Combining all measured quantities in Eq. (41), the relative decay rate is:
(45) |
where uncertainties are statistical and systematic respectively. Using the CLEO-c value for the branching fraction ref:cleockpipi , gives:
(46) |
where the last quoted uncertainty comes from the accuracy of . To evaluate the contribution from the , results obtained with the signal model are used. The branching fraction for is obtained after subtracting the - and -wave contributions:
(47) | |||||
The last uncertainty corresponds to external inputs.
The corresponding value of is obtained by integrating Eq. (16), restricted to the contribution, over the three angles:
(48) | |||||
Assuming that the meson is infinitely narrow, integrating over the remaining variables gives:
with
(50) | |||||
and:
(51) |
For this last evaluation, the values for the lifetime ref:pdg10 and are used. Corresponding uncertainties are included in the last quoted error in Eq. (51).
If instead of considering a with zero width, the fitted mass distribution of the resonance is used in the integral of the differential decay rate versus and , the form factor normalization becomes:
(52) |
This value depends also on the normalization adopted for the mass distribution which is given in Eq. (26).
X Summary
We have studied the decay with a sample of approximately signal events, which greatly exceeds any previous measurement. The hadronic system in this decay is dominated by the meson. In addition to the meson we measure a contribution of the -wave component of . We find a small contribution from the equal to . This value agrees with the naive expectation based on corresponding measurements in decays. The relative phase between the and components is compatible with zero whereas there is a negative sign between the - and -wave amplitudes. A fit to data of similar probability is obtained including a -wave component with a fraction equal to . In this case the fraction becomes . As these two components do not exceed a significance of three standard deviations, upper limits at the 90 C.L. are quoted in Table 17.
Using a model for signal which includes -wave, - and contributions, hadronic form factor parameters of the component are obtained from a fit to the five-dimensional decay distribution, assuming single pole dominance: , and the pole mass of the axial vector form factors . For comparison with previous measurements we also perform a fit to data with fixed pole mass and and including only the and signal components; it gives and .
We have measured the phase of the -wave component for several values of the mass. Contrary to similar analyses using charm meson decays, as in , we find agreement with corresponding -wave phase measurements done in interactions producing at small transfer. This is a confirmation of these results and illustrates the importance of final state interactions in -meson hadronic decays. As compared with elastic scattering there is an additional negative sign between the - and -wave, in the semileptonic decay channel. This observation does not contradict the Watson theorem. We have determined the parameters of the meson and found, in particular, a width smaller than the value quoted in ref:pdg10 . Our result agrees with recent measurements from FOCUS ref:focus1 , CLEO ref:kpipi_cleoc and, decays (for the charged mode) ref:taubelle . Comparison between these measurements and present world average values is illustrated in Tab. 17. Our measurements of the -wave phase have large uncertainties in the threshold region and it remains to evaluate how they can improve the determination of chiral parameters using, for instance, the framework explained in ref. ref:seb1 .
XI Acknowledgments
The authors would like to thank S. Descotes-Genon and A. Le Yaouanc for fruitful discussions especially on the charm meson semileptonic decay rate formalism. We also thank V. Bernard, B. Moussallam and E. Passemar for discussions on chiral perturbation theory and different aspects of the system.
We are grateful for the extraordinary contributions of our PEP-II colleagues in achieving the excellent luminosity and machine conditions that have made this work possible. The success of this project also relies critically on the expertise and dedication of the computing organizations that support BABAR. The collaborating institutions wish to thank SLAC for its support and the kind hospitality extended to them. This work is supported by the US Department of Energy and National Science Foundation, the Natural Sciences and Engineering Research Council (Canada), the Commissariat à l’Energie Atomique and Institut National de Physique Nucléaire et de Physique des Particules (France), the Bundesministerium für Bildung und Forschung and Deutsche Forschungsgemeinschaft (Germany), the Istituto Nazionale di Fisica Nucleare (Italy), the Foundation for Fundamental Research on Matter (The Netherlands), the Research Council of Norway, the Ministry of Education and Science of the Russian Federation, Ministerio de Ciencia e Innovación (Spain), and the Science and Technology Facilities Council (United Kingdom). Individuals have received support from the Marie-Curie IEF program (European Union), the A. P. Sloan Foundation (USA) and the Binational Science Foundation (USA-Israel).
Appendix A Error matrices for the nominal fit
The correlation matrix between statistical uncertainties is given in Tab. 18 for parameters fitted using the nominal model. Statistical uncertainties are quoted on the diagonal. The elements of the statistical error matrix are equal to , where is an off diagonal element or is equal to 1 on the diagonal.
0.211 | 0.656 | -0.842 | -0.158 | 0.142 | -0.131 | 0.116 | -0.043 | -0.673 | 0.899 | -0.774 | -0.254 | 0.304 |
0.315 | -0.614 | -0.002 | 0.020 | 0.007 | 0.007 | 0.024 | -0.470 | 0.624 | -0.632 | 0.027 | -0.021 | |
0.476 | 0.163 | -0.165 | 0.141 | -0.347 | 0.270 | 0.657 | -0.907 | 0.846 | 0.334 | -0.394 | ||
0.0972 | -0.548 | 0.840 | -0.045 | -0.070 | 0.065 | -0.080 | 0.087 | 0.099 | -0.118 | |||
0.0166 | -0.518 | 0.048 | 0.034 | -0.060 | 0.101 | -0.126 | -0.124 | 0.136 | ||||
0.0201 | -0.016 | -0.080 | 0.051 | -0.058 | 0.080 | 0.116 | -0.133 | |||||
0.0286 | -0.968 | -0.157 | 0.191 | -0.048 | -0.136 | 0.159 | ||||||
0.0640 | 0.130 | -0.133 | -0.043 | 0.146 | -0.173 | |||||||
0.138 | -0.767 | 0.396 | 0.148 | -0.179 | ||||||||
0.0163 | -0.721 | -0.269 | 0.318 | |||||||||
13.0 | 0.288 | -0.336 | ||||||||||
713.0 | -0.609 | |||||||||||
613.2 |
In Tab. 11, systematic uncertainties quoted in lines labelled III, VII and XI are the result of several contributions, combined in quadrature. In Tab. 19 these components are detailed because each contribution can induce a positive or a negative variation of the fitted quantities.
variation | |||||||||||||
a | 0.02 | 0.03 | -0.03 | 0.70 | -0.73 | 0.50 | 0.12 | -0.07 | 0.30 | 0.07 | -0.20 | 0.07 | -0.08 |
b | 0.00 | -0.10 | 0.05 | -0.07 | -0.05 | -0.17 | -0.07 | 0.01 | -0.28 | 0.05 | 0.10 | -0.07 | 0.08 |
a | 0.06 | 0.06 | -0.05 | -0.10 | -0.05 | 0.01 | 0.17 | -0.15 | 0.01 | 0.07 | 0.02 | 0.05 | -0.06 |
b | 0.01 | 0.01 | -0.01 | 0.00 | -0.01 | 0.01 | 0.01 | -0.01 | 0.00 | 0.01 | -0.01 | 0.00 | -0.01 |
c | -0.01 | 0.00 | 0.01 | -0.01 | 0.00 | 0.00 | -0.01 | 0.01 | 0.00 | -0.01 | 0.00 | 0.00 | 0.01 |
d | -0.03 | 0.00 | 0.06 | 0.00 | 0.02 | 0.05 | 0.01 | -0.02 | 0.02 | -0.02 | 0.04 | 0.06 | -0.07 |
e | -0.03 | -0.01 | 0.05 | 0.03 | 0.07 | 0.03 | -0.02 | 0.01 | 0.01 | -0.03 | 0.04 | 0.01 | -0.01 |
f | 0.00 | 0.03 | 0.07 | -0.16 | 0.07 | -0.03 | 0.01 | -0.01 | 0.05 | 0.01 | 0.04 | 0.12 | -0.15 |
g | -0.04 | -0.01 | 0.06 | 0.03 | 0.08 | 0.04 | -0.02 | 0.01 | 0.02 | -0.04 | 0.05 | 0.02 | -0.03 |
h | -0.06 | -0.04 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | -0.04 | 0.06 | 0.00 | 0.00 |
i | -0.02 | -0.02 | 0.01 | -0.00 | 0.00 | 0.01 | 0.00 | -0.01 | 0.00 | -0.00 | 0.00 | 0.01 | -0.01 |
a | -0.08 | -0.02 | 0.08 | 0.00 | 0.01 | 0.00 | -0.35 | 0.34 | -1.00 | -0.34 | -0.20 | -0.04 | 0.05 |
b | 0.20 | 0.09 | -0.21 | 0.03 | -0.03 | 0.03 | 0.44 | -0.41 | 3.09 | 0.62 | 0.28 | 0.07 | -0.08 |
c | -0.06 | -0.02 | 0.08 | 0.01 | -0.01 | 0.01 | 0.08 | -0.10 | 0.05 | -0.39 | -0.08 | 0.02 | -0.02 |
d | -0.16 | -0.07 | 0.17 | 0.01 | -0.01 | 0.01 | 0.05 | -0.06 | 0.11 | 0.37 | 0.18 | 0.02 | -0.03 |
e | 0.00 | 0.00 | -0.01 | -0.06 | -1.15 | -0.07 | 0.04 | -0.03 | -0.01 | 0.00 | 0.00 | 0.01 | -0.01 |
The error matrix for systematic uncertainties on fitted parameters is obtained using values of the variations given in Tab. 11 and 19. For each individual source of systematic uncertainty we create a matrix of elements equal to the product of the variations observed on the values of the fitted parameters and . For systematic uncertainties IX and X, which have a statistical origin, we multiply these quantities by the corresponding elements of the statistical correlation matrix (Tab. 18). These matrices are summed to obtain the matrix given in Tab. 20.
0.226 | 0.569 | -0.827 | -0.004 | 0.153 | -0.068 | -0.080 | 0.115 | 0.038 | 0.731 | -0.384 | -0.422 | 0.439 |
0.241 | -0.579 | 0.081 | 0.065 | 0.049 | -0.113 | 0.137 | 0.001 | 0.436 | -0.400 | -0.147 | 0.159 | |
0.540 | -0.102 | -0.182 | -0.027 | 0.125 | -0.153 | -0.045 | -0.728 | 0.470 | 0.620 | -0.642 | ||
0.124 | -0.095 | 0.697 | -0.279 | 0.260 | 0.071 | 0.029 | 0.044 | -0.216 | 0.229 | |||
0.0308 | -0.367 | -0.358 | 0.360 | -0.080 | 0.063 | 0.179 | -0.264 | 0.276 | ||||
0.0197 | 0.082 | -0.102 | 0.110 | 0.022 | -0.186 | -0.067 | 0.067 | |||||
0.0406 | -0.988 | 0.407 | 0.119 | -0.078 | 0.461 | -0.484 | ||||||
0.0810 | -0.395 | -0.096 | 0.035 | -0.448 | 0.471 | |||||||
0.474 | 0.357 | 0.335 | 0.121 | -0.126 | ||||||||
0.0222 | -0.137 | -0.346 | 0.355 | |||||||||
13.2 | 0.158 | -0.155 | ||||||||||
1055.2 | -0.918 | |||||||||||
1033.8 |
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