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Reference

Measurement of the topological branching fractions of the τ lepton at LEP

L3 Collaboration

ACHARD, Pablo (Collab.), et al.

Abstract

Using data collected with the L3 detector at LEP from 1992 to 1995 on the Z peak, we determine the branching fractions of the τ lepton into one, three and five charged particles to be: B(τ->(1-prong))=85.274=1.105±0.073%, B(τ->(3-prong))=14.556=1.105±0.076%, B(τ->(5-prong))=0.170=0.022±0.026%. The first uncertainties are statistical and the second systematic. The accuracy of these measurements alone is similar to that of the current world average.

L3 Collaboration, ACHARD, Pablo (Collab.), et al . Measurement of the topological branching fractions of the τ lepton at LEP. Physics Letters. B , 2001, vol. 519, no. 3-4, p. 189-198

DOI : 10.1016/S0370-2693(01)01099-1

Available at:

http://archive-ouverte.unige.ch/unige:43257

Disclaimer: layout of this document may differ from the published version.

1 / 1

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1 November 2001

Physics Letters B 519 (2001) 189–198

www.elsevier.com/locate/npe

Measurement of the topological branching fractions of the τ lepton at LEP

L3 Collaboration

P. Achard

t

, O. Adriani

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, M. Aguilar-Benitez

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, J. Alcaraz

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0370-2693/01/$ – see front matter 2001 Elsevier Science B.V. All rights reserved.

PII: S 0 3 7 0 - 2 6 9 3 ( 0 1 ) 0 1 0 9 9 - 1

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L3 Collaboration / Physics Letters B 519 (2001) 189–198 191 aI. Physikalisches Institut, RWTH, D-52056 Aachen, Germany1,

III. Physikalisches Institut, RWTH, D-52056 Aachen, Germany1

bNational Institute for High Energy Physics, NIKHEF, and University of Amsterdam, NL-1009 DB Amsterdam, The Netherlands cUniversity of Michigan, Ann Arbor, MI 48109, USA

dLaboratoire d’Annecy-le-Vieux de Physique des Particules, LAPP, IN2P3-CNRS, BP 110, F-74941 Annecy-le-Vieux Cedex, France eInstitute of Physics, University of Basel, CH-4056 Basel, Switzerland

fLouisiana State University, Baton Rouge, LA 70803, USA gInstitute of High Energy Physics, IHEP, 100039 Beijing, PR China7

hHumboldt University, D-10099 Berlin, Germany1

iUniversity of Bologna, and INFN, Sezione di Bologna, I-40126 Bologna, Italy jTata Institute of Fundamental Research, Mumbai (Bombay) 400 005, India

kNortheastern University, Boston, MA 02115, USA

lInstitute of Atomic Physics and University of Bucharest, R-76900 Bucharest, Romania

mCentral Research Institute for Physics of the Hungarian Academy of Sciences, H-1525 Budapest 114, Hungary2 nMassachusetts Institute of Technology, Cambridge, MA 02139, USA

oPanjab University, Chandigarh 160 014, India pKLTE-ATOMKI, H-4010 Debrecen, Hungary3

qINFN, Sezione di Firenze, and University of Florence, I-50125 Florence, Italy rEuropean Laboratory for Particle Physics, CERN, CH-1211 Geneva 23, Switzerland

sWorld Laboratory, FBLJA Project, CH-1211 Geneva 23, Switzerland tUniversity of Geneva, CH-1211 Geneva 4, Switzerland

uChinese University of Science and Technology, USTC, Hefei, Anhui 230 029, PR China7 vUniversity of Lausanne, CH-1015 Lausanne, Switzerland

wInstitut de Physique Nucléaire de Lyon, IN2P3-CNRS, Université Claude Bernard, F-69622 Villeurbanne, France xCentro de Investigaciones Energéticas, Medioambientales y Tecnologícas, CIEMAT, E-28040 Madrid, Spain4

yFlorida Institute of Technology, Melbourne, FL 32901, USA zINFN, Sezione di Milano, I-20133 Milan, Italy

aaInstitute of Theoretical and Experimental Physics, ITEP, Moscow, Russia abINFN, Sezione di Napoli, and University of Naples, I-80125 Naples, Italy

acDepartment of Physics, University of Cyprus, Nicosia, Cyprus adUniversity of Nijmegen and NIKHEF, NL-6525 ED Nijmegen, The Netherlands

aeCalifornia Institute of Technology, Pasadena, CA 91125, USA

afINFN, Sezione di Perugia, and Università Degli Studi di Perugia, I-06100 Perugia, Italy agNuclear Physics Institute, St. Petersburg, Russia

ahCarnegie Mellon University, Pittsburgh, PA 15213, USA aiINFN, Sezione di Napoli, and University of Potenza, I-85100 Potenza, Italy

ajPrinceton University, Princeton, NJ 08544, USA akUniversity of California, Riverside, CA 92521, USA

alINFN, Sezione di Roma, and University of Rome “La Sapienza”, I-00185 Rome, Italy amUniversity and INFN, Salerno, I-84100 Salerno, Italy

anUniversity of California, San Diego, CA 92093, USA

aoBulgarian Academy of Sciences, Central Laboratory of Mechatronics and Instrumentation, BU-1113 Sofia, Bulgaria ap The Center for High Energy Physics, Kyungpook National University, 702-701 Taegu, South Korea

aqUtrecht University and NIKHEF, NL-3584 CB Utrecht, The Netherlands arPurdue University, West Lafayette, IN 47907, USA

asPaul Scherrer Institut, PSI, CH-5232 Villigen, Switzerland atDESY, D-15738 Zeuthen, Germany

auEidgenössische Technische Hochschule, ETH Zürich, CH-8093 Zürich, Switzerland avUniversity of Hamburg, D-22761 Hamburg, Germany

awNational Central University, Chung-Li, Taiwan, ROC axDepartment of Physics, National Tsing Hua University, Taiwan, ROC

Received 17 July 2001; received in revised form 31 August 2001; accepted 5 September 2001 Editor: L. Rolandi

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Abstract

Using data collected with the L3 detector at LEP from 1992 to 1995 on the Z peak, we determine the branching fractions of theτlepton into one, three and five charged particles to be:

B(τ(1-prong))=85.274±0.105±0.073%, B(τ(3-prong))=14.556±0.105±0.076%, B(τ(5-prong))=0.170±0.022±0.026%.

The first uncertainties are statistical and the second systematic. The accuracy of these measurements alone is similar to that of the current world average.2001 Elsevier Science B.V. All rights reserved.

1. Introduction

Measurements of the topological branching frac- tions of the τ lepton and the sum of measurements of the exclusive branching fractions were previously inconsistent. Solving this “one-prong puzzle” moti- vated many precise determinations of the exclusiveτ branching fractions at the permille level [1] but only a few less precise determinations of the topological branching fractions [2] have been performed.

In this Letter, we present a new measurement of the topological branching fractions using data collected by the L3 detector at LEP on the Z resonance. These results supersede those of our previous publication [3].

Here we follow the convention that tracks stemming from neutral kaon decays are not accounted for in the topology. Another measurement of the topological τ branching fractions was recently reported in Ref. [4].

The measurement entails a selection of e+eτ+τ(γ ) events followed by an event topology re-

1 Supported by the German Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie.

2 Supported by the Hungarian OTKA fund under contract numbers T019181, F023259 and T024011.

3 Also supported by the Hungarian OTKA fund under contract number T026178.

4 Supported also by the Comisión Interministerial de Ciencia y Tecnología.

5 Also supported by CONICET and Universidad Nacional de La Plata, CC 67, 1900 La Plata, Argentina.

6 Also supported by Deutscher akademischer Austauschdienst.

7 Supported by the National Natural Science Foundation of China.

construction, which must be precisely understood.

The reconstructed topology is influenced by photon conversions, subdetector inefficiencies and resolution limitations. Detailed studies of these effects are per- formed in order to control the systematic uncertainties to the level of the statistical uncertainties.

2. Data and Monte Carlo samples

The data used were collected with the L3 detec- tor [5] at LEP from 1992 to 1995 on the Z peak, cor- responding to an integrated luminosity of 92.6 pb1. The most crucial subdetectors for this analysis are:

the central tracking system consisting of a silicon microvertex detector (SMD), a time expansion cham- ber (TEC) and proportional chambers measuring the Z coordinate, the electromagnetic calorimeter com- posed of Bismuth Germanium Oxide (BGO) crystals, the hadron calorimeter (HCAL) and the muon spec- trometer. Detailed studies of the efficiencies of these subdetectors using control samples are performed, yielding precise determinations of the efficiencies.

For efficiency studies, e+eτ+τ(γ ) events are generated with the KORALZ Monte Carlo gen- erator [6]. Background estimations are performed using the following Monte Carlo generators: KO- RALZ for e+eµ+µ(γ ); BHAGENE [7] for e+e→e+e(γ ); JETSET [8] for e+e→qq(γ );¯ DIAG36 [9] for e+e→e+e+, where=e,µ, orτ. The Monte Carlo events are simulated in the L3 detector using the GEANT program [10], which takes into account the effects of energy loss, multiple scat-

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L3 Collaboration / Physics Letters B 519 (2001) 189–198 193

tering and showering. Furthermore, time dependent detector inefficiencies are considered. These events are reconstructed with the same program as the one used for the data.

3. Subdetector efficiencies and calibrations Efficiency studies of the subdetectors are done separately for each year of data taking. As the year- by-year efficiency variations are small, average values are given in the following.

The efficiency of the TEC to measure a track is studied using data samples of Bhabha and dimuon events and muons originating from τ decays. The Bhabha and dimuon samples are selected by requiring two energy deposits in the BGO or two tracks in the muon spectrometer of about the beam energy and back-to-back topology. The muons in τ decays are identified as tracks in the muon chambers pointing to the interaction region. In addition, the energy deposits in the BGO and HCAL must be consistent with the expectation for a minimum ionising particle (MIP).

A track in the TEC must have at least 25 out of the 62 possible hits, one or more hits in the innermost part of the chamber and to span over more than 40 anode wires radially. Its transverse momentum, pT, must be larger than 2 GeV. After rejecting tracks in the low resolution region adjacent to the anode, the track finding efficiency is found to be about 96%, almost independent of the track momentum. The double track resolution of the TEC is determined from data [11]

to be about 500 µm and is modelled correspondingly in the detector simulation. As a cross check, the distributions of the azimuthal angle between two adjacent tracks φ, from data and Monte Carlo are compared in Fig. 1 for small values ofφ and high momentum tracks from 3-prong τ decays. For φ larger than 0.005 rad excellent agreement is found.

The small discrepancy below 0.005 rad is taken into account as a systematic uncertainty.

The efficiency of the BGO to detect an electro- magnetically showering particle is determined using Bhabha events to be about 99.5%. This efficiency is found to be almost independent of the shower en- ergy from studies using e+e→e+ee+e events.

In order to estimate the efficiency of the BGO to de- tect a MIP,τ decays into muons are used. A track in

Fig. 1. Distribution of the azimuthal angle between two adjacent tracks φ, where the tracks must have a transverse momentum larger than 10 GeV.

the muon spectrometer is required, which points to the interaction region and matches an energy deposit in the HCAL that corresponds to a MIP. From these muons 97% induce a signal in the BGO.

The same technique was used to estimate the HCAL and muon spectrometer efficiencies. Using muons with a track in the TEC, a MIP signal in the BGO and a matched muon spectrometer track, the efficiency of the HCAL to detect such a particle is about 89%. The muon spectrometer efficiency is found to be 74% using τ decays with a track in the TEC and a MIP signature in the BGO and the HCAL.

The subdetector efficiencies obtained from each year are used to correct the Monte Carlo simulation of the detector response for the e+eτ+τ(γ )and background processes. The energy scales of the subde- tectors are calibrated using control data samples [12].

The momentum scale of the central tracker is verified to 0.5% from 1 to 45 GeV. The BGO and the muon spectrometer scale uncertainties are 0.5% at low ener- gies and 0.05% at high energy. The scale uncertainty of the HCAL is 1%.

4. Study of photon conversions

Photon conversions occurring in the material inside the TEC may cause additional tracks and are studied

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on data and Monte Carlo for each year independently.

A loose selection of e+eτ+τ(γ ) events is made, requiring two low multiplicity jets and the cosine of the polar angle of the event thrust axis

|cosθthrust|<0.7. Radiative photons or photons from π0 decays can convert in the detector. The tracks from the conversion point either to their corresponding cluster in the BGO calorimeter, or to a coalescent cluster including the energy of the two conversion tracks or of the 2 photons in the case of aπ0decay.

Therefore, thepT measured in the central tracker must be smaller than the transverse energy observed in the electromagnetic calorimeter.

In the case that only one track reaches the TEC, its transverse momentum must be less than 4 GeV.

When both tracks are reconstructed, the square of their invariant mass must be less than 0.005 GeV2. Taking track pairs which fulfil these requirements, the distance of their vertex to the beam axis, Rv, is calculated. The distribution ofRv is shown in Fig. 2 for data from 1994 and Monte Carlo: most of the photon conversions occur at radii between 40 and 90 mm, corresponding to the position of the two cylindrical layers of the SMD. Good agreement of the simulation of the photon conversion probability inside the TEC with the data is obtained after enlarging the conversion probability by a factor of about 1.6 for data

Fig. 2. Distribution of the radial distance from the beam axis,Rv, of vertices reconstructed using photon conversion tracks. The flat hatched distribution stems from track pairs of hadronicτdecays.

taking periods after the installation of the SMD, to account for additional material not fully considered in the Monte Carlo simulation. The flat background stems mainly from 3-prong hadronicτ decays.

After rejection of identified photon conversions, 0.4% of theτ decays still contain tracks from photon conversions. They are accounted for in the migration efficiencies determined from Monte Carlo.

The effect of tracks scattered back from BGO clusters is investigated. As their momenta are low they are removed by the requirement on the transverse momentum of a track.

5. Selection of e+eτ+τ(γ )events

Events of the process e+eτ+τ(γ )are char- acterised by two jets with low track and calorimetric cluster multiplicities, where a jet may consist of an isolated electron or muon. To ensure good track mea- surements only events in the barrel region of the detector are accepted by requiring|cosθthrust|<0.7.

The event multiplicity is defined as the sum of the number of tracks in the TEC and the number of neu- tral calorimetric clusters, without an assigned charged track and with an energy larger than 0.5 GeV. This event multiplicity is required to be less than 10. Each event is divided into two hemispheres with respect to the plane orthogonal to the thrust axis. The main backgrounds arise from two-photon interactions, e+e events and Z decays into two muons. These processes are rejected using information from both hemispheres.

• Two-photon interactions: each hemisphere must contain at least one calorimetric cluster. The sum of the energy deposited in the calorimeters and the muon momenta measured in the muon spectrometer must be larger than 13 GeV.

• e+e events: the total energy deposited in the BGO must be less than 60 GeV. In addition, the energy deposit in each hemisphere must be less than 44 GeV and the acoplanarity angle between the leading tracks of the two hemispheres must be larger than 0.003 rad.

• Z decays into two muons: events with a track in the muon chambers with a momentum larger than 42 GeV are not accepted. Furthermore, events with a muon or a MIP in both hemispheres are rejected.

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L3 Collaboration / Physics Letters B 519 (2001) 189–198 195

Fig. 3. The distribution of the event multiplicity. The Monte Carlo prediction for e+eτ+τ(γ )and the background from other leptonic and hadronic Z decays after application of the scale factors is also given.

Fig. 4. The distribution of the BGO energy for selected e+e τ+τ(γ ) events with relaxed cuts against e+e e+e(γ ) background. Also shown is the Monte Carlo expectation for e+eτ+τ(γ )and e+eτ+τ(γ ) events after rescaling.

A sample of 70016 e+eτ+τ(γ ) events is selected. The estimations of the efficiencies and back- ground fractions are done separately for each year. The average selection efficiency for e+eτ+τ(γ ) events inside the barrel, estimated from Monte Carlo, is 78.8±0.2%.

Fig. 5. The momentum distribution of tracks measured in the muon chambers in the e+eτ+τ(γ ) event sample with relaxed cuts against dimuon background. Also shown is the Monte Carlo expectation for e+eτ+τ(γ )and the background from dimuon final states after rescaling.

The background from hadronic and other leptonic Z decays and two-photon interactions is estimated from Monte Carlo. As an example, the distribution of the event multiplicity, is shown in Fig. 3 for data and a superposition of Monte Carlo from e+eτ+τ(γ ) and background. The background from hadronic Z decays dominates at large values of the multiplicity.

After applying a correction factor to the fraction of the hadronic background of 1.05, very good agreement is obtained. The background from Bhabha events is determined using the upper part of the energy distribution measured in the BGO. This is shown in Fig. 4 for an event sample with the Bhabha rejection cuts relaxed. The prediction from Bhabha Monte Carlo is scaled by a factor of 1.1 to agree with the data. The background after the final selection is estimated from Bhabha events using this scale factor.

The same procedure is applied to estimate theµ+µ background. Fig. 5 shows the spectrum of muons measured in the muon spectrometer for data and Monte Carlo after applying a correction factor of 1.1.

The background fractions from all sources are listed in Table 1. The cosmic background, estimated from the distribution of the distance of closest approach to the beam position, is found to be negligible.

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Table 1

The background fractions from the different sources in the e+e τ+τ(γ )event sample

Background source Fraction (%)

Zhadrons 1.59

Two-photon interactions 0.16

e+ee+e(γ ) 0.16

e+eµ+µ(γ ) 0.68

6. Determination of the topological branching fractions

The maximum likelihood method is used to deter- mine the topological branching fractions, with likeli- hood functionLdefined as:

(1) L=

6 i=0

P

Nobsi , Nexpi ,

where P is the Poisson distribution, Nobsi is the number of observed events andNexpi is the number of expected events withireconstructed tracks. The latter is:

(2) Nexpi =Nτ

j=1,3,5

B(j )εij+

k

Nbgik,

where Nτ is the number of τ decays and B(j ) is the branching fraction ofj-prongτ decays,j=1,3 or 5. The elements of the track detection efficiency matrix, εij, are determined from Monte Carlo. The non-diagonal elements represent migrations between the topologies. The number of non-tau background events,Nbgik, obtained from Monte Carlo, is normalised to the data luminosity. The index k runs over all background sources.

The efficiency matrix of the track reconstruction is shown in Table 2, indicating the numbers of recon- structed tracks for τ decays to 1, 3 and 5 charged particles. Tracks arising from neutral kaon decays are not accounted for in the topology. Table 3 shows the number of observedτ decays in the different topolo- gies and the estimated background. In the fit the constraintB(1)+B(3)+B(5)=1 is applied and the sum ofNexpi is constrained to the number of observed τ decays. The following results are obtained:

Table 2

The efficiency matrix of track reconstruction in percent. Ngen denotes the number of charged tracks of theτdecay before detector simulation andNrecthe number of tracks after the reconstruction

Nrec Ngen

1 3 5

0 7.58±0.02 0.78±0.01 0.84±0.15

1 70.18±0.05 6.88±0.04 3.58±0.30

2 0.33±0.01 26.89±0.07 9.55±0.50

3 0.16±0.01 47.05±0.09 20.50±0.73

4 <0.01 0.21±0.01 24.38±0.79

5 <0.01 0.05±0.01 14.88±0.63

6 <0.01 <0.01 <0.01

Table 3

The number ofτ decays observed in the different topologies and background estimated by Monte Carlo

Nrec 0 1 2 3 4 5 6

Data 11935 107283 8166 12378 216 53 1

Background (%) 3.7 1.9 9.7 2.5 33.8 7.6 0

Table 4

The correlation coefficients obtained from a fit of the topological branching fractions

Source B(1-prong) B(3-prong) B(5-prong)

B(1-prong) 1.0 0.978 0.082

B(3-prong) 1.0 0.127

B(5-prong) 1.0

B(1-prong)=85.274±0.105%, B(3-prong)=14.556±0.105%, B(5-prong)=0.170±0.022%,

where the uncertainty is statistical only. Theχ2/d.o.f.

is 5.7/4. The correlation coefficients are given in Table 4.

In Figs. 6 and 7 the number of observedτ decays is shown as a function of the charged track multiplicity in linear and logarithmic scale, respectively. Also shown are the Monte Carlo predictions, using the fitted branching fractions, and the background.

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L3 Collaboration / Physics Letters B 519 (2001) 189–198 197

Fig. 6. The charged multiplicity distribution fromτ decays. Also shown is the expectation from Monte Carlo for e+eτ+τ(γ ) and the background.

Fig. 7. The charged multiplicity distribution fromτ decays. Also shown is the expectation from Monte Carlo for e+eτ+τ(γ ) and the background from hadronic Z decays and other sources.

7. Systematic uncertainties

The criteria to suppress the different background sources are varied within one standard deviation of the resolution of the investigated variables and the changes in the topological branching fractions are taken as systematic uncertainties. The uncertainty on the cross section of e+e → hadrons [13] and the scale factor applied to the Monte Carlo normalisa-

tion are considered. The cross section uncertainties on e+e and µ+µ final states and two-photon in- teractions have negligible effects on the branching fractions. The background uncertainties from e+e andµ+µfinal states are obtained from the statisti- cal uncertainty of 1% on the scale factors applied to the Monte Carlo distributions shown in Figs. 4 and 5.

The systematic uncertainty due to track efficiency is obtained by varying this quantity within its statistical uncertainty of 0.25%. Furthermore, the track defini- tion criteria are changed within reasonable ranges. The uncertainty from double track resolution is estimated by reweighting theφdistribution of Fig. 1 forcing agreement between data and Monte Carlo in the low φregion. The effects on the branching fractions are taken as systematic uncertainties.

The systematic uncertainty due to photon conver- sions is obtained from the statistical uncertainty of 10% on the photon conversion probability correction factor and from variations of conversion identification criteria.

The effect of nuclear interactions in the material inside the TEC is studied in a way similar to photon conversions and no deviation between data and Monte Carlo is observed. In addition, subsamples of e+eτ+τ events are selected requiring a leptonic tau decay in one hemisphere and comparing the track multiplicity distribution of the opposite hemisphere.

Excellent agreement between data an Monte Carlo is fond. No systematic effects are hence expected from this source.

The acceptance for tracks stemming from K0s de- cays is, due to the short distance between the inter- action region and the inner TEC sectors, very small.

The contribution of K0s decays to tau decays classi- fied as 3-prongs is determined from Monte Carlo to be 0.1%. The uncertainty of the branching fraction of the tau into K0s [1] has negligible effect on the topo- logical branching fractions.

The uncertainty from Monte Carlo statistics is in- cluded as statistical uncertainties on the efficiency matrix in Table 1. The resulting variations on the branching fractions are taken as systematic uncertain- ties. Effects from the energy scale uncertainties of the subdetectors are negligible. A summary of the system- atic uncertainties is provided in Table 5.

After combination of the systematic uncertainties the results for the branching fractions of theτ lepton

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Table 5

Systematic uncertainties in % on the branching fractions resulting from the listed sources and their combined values

Source B(1-prong) B(3-prong) B(5-prong)

Zhadrons 0.048 0.052 0.024

e+ee+e(γ ) 0.010 0.010 0.001 e+eµ+µ(γ ) 0.010 0.010 0.001 Two-photon interactions 0.011 0.011 0.001

Track definition 0.035 0.035 0.003

Double track resolution 0.012 0.012 0.001

Photon conversions 0.017 0.017 0.004

Monte Carlo statistics 0.032 0.032 0.007

Total 0.073 0.076 0.026

decays into one, three and five charged particle final states are:

B

τ(1-prong)

=85.274±0.105±0.073%, B

τ(3-prong)

=14.556±0.105±0.076%, B

τ(5-prong)

=0.170±0.022±0.026%, where the first uncertainty is statistical and the second is systematic. These new results are in agreement with a recent measurement with the full LEP statistics [4]

and with the current world averages [1].

Acknowledgements

We wish to express our gratitude to the CERN ac- celerator division for the excellent performance of the LEP machine. We acknowledge the contributions of engineers and technicians who have participated

in the construction and maintenance of this experi- ment.

References

[1] D.E. Groom et al., Eur. Phys. J. C 15 (2000) 1.

[2] ARGUS Collaboration, H. Albrecht et al., Z. Phys. C 53 (1992) 367;

OPAL Collaboration, P.D. Acton et al., Phys. Lett. B 288 (1992) 373;

CLEO Collaboration, R. Balest et al., Phys. Rev. Lett. 75 (1995) 3809;

OPAL Collaboration, R. Akers et al., Z. Phys. C 68 (1995) 555.

[3] L3 Collaboration, B. Adeva et al., Phys. Lett. B 265 (1991) 451.

[4] DELPHI Collaboration, P. Abreu et al., Eur. Phys. J. C 20 (2001) 617.

[5] L3 Collaboration, B. Adeva et al., Nucl. Instrum. Methods A 289 (1990) 35;

J.A. Bakken et al., Nucl. Instrum. Methods A 275 (1989) 81;

O. Adriani et al., Nucl. Instrum. Methods A 302 (1991) 53;

B. Adeva et al., Nucl. Instrum. Methods A 323 (1992) 109;

K. Deiters et al., Nucl. Instrum. Methods A 323 (1992) 162;

M. Chemarin et al., Nucl. Instrum. Methods A 349 (1994) 345;

M. Acciarri et al., Nucl. Instrum. Methods A 351 (1994) 300.

[6] S. Jadach, B.F.L. Ward, Z. W¸as, Comp. Phys. Commun. 79 (1994) 503.

[7] J.H. Field, Phys. Lett. B 323 (1994) 432;

J.H. Field, T. Riemann, Comp. Phys. Commun. 94 (1996) 53.

[8] T. Sjöstrand, Comp. Phys. Commun. 39 (1986) 347;

T. Sjöstrand, M. Bengtsson, Comp. Phys. Commun. 43 (1987) 367.

[9] F.A. Berends, P.H. Daverfeldt, R. Kleiss, Nucl. Phys. B 253 (1985) 441.

[10] R. Brun et al., Preprint CERN DD/EE/84-1 (1984), revised September 1987;

The GHEISHA program (H. Fesefeldt, RWTH Aachen Report PITHA 85/02, 1985) is used to simulate hadronic interactions.

[11] F. Beissel et al., Nucl. Instrum. Methods A 332 (1993) 33.

[12] L3 Collaboration, M. Acciarri et al., Phys. Lett. B 429 (1998) 387.

[13] L3 Collaboration, M. Acciarri et al., Eur. Phys. J. C 16 (2000) 1.

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