Branching fraction and charge asymmetry measurements in B to J/psi pi pi decays
The BABAR collaboration, B. Aubert, et al

TL;DR
This paper reports measurements of branching fractions and charge asymmetry in B meson decays to J/psi and two pions, using a large data sample from the BaBar experiment, including intermediate resonances and setting upper limits for non-resonant decays.
Contribution
First precise measurements of branching fractions and charge asymmetry in B to J/psi pi pi decays, including resonance contributions and upper limits for non-resonant modes.
Findings
Measured B(B0 -> J/psi rho0) = (2.7 +/- 0.3 +/- 0.17) x 10^-5
Measured B(B+ -> J/psi rho+) = (5.0 +/- 0.7 +/- 0.31) x 10^-5
Charge asymmetry in B+ decays to J/psi rho is -0.11 +/- 0.12 +/- 0.08
Abstract
We study the decays B0 to J/psi pi+pi- and B+ to J/psi pi+pi0, including intermediate resonances, using a sample of 382 million BBbar pairs recorded by the BaBar detector at the PEP-II e+e- B factory. We measure the branching fractions B(B0 ->J/psi rho0) = (2.7 +/- 0.3 +/- 0.17) x 10-5 and B(B+ ->J/psi rho+) = (5.0 +/- 0.7 +/-0.31) x 10-5. We also set the following upper limits at the 90% confidence level: B(B0 -> J/psi pi+ \pi- non-resonant) < 1.2 x 10-5, B(B0 -> J/psi f_2(1270)) < 4.6 x 10-6, and B(B+ -> J/psi pi+ pi0 non-resonant) < 4.4 x 10-6. We measure the charge asymmetry in charged B decays to J/psi rho to be -0.11 +/- 0.12 +/- 0.08.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3| Mode | Fit bias (events) | Corrected yield (events) | (%) | (%) | Signif. () | |
|---|---|---|---|---|---|---|
| (90% C.L.) | ||||||
| (90% C.L.) | ||||||
| (90% C.L.) |
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BABAR-PUB-07/017
SLAC-PUB-12441
††thanks: Deceased
The BABAR Collaboration
Branching fraction and charge asymmetry measurements in decays
B. Aubert
M. Bona
D. Boutigny
Y. Karyotakis
J. P. Lees
V. Poireau
X. Prudent
V. Tisserand
A. Zghiche
Laboratoire de Physique des Particules, IN2P3/CNRS et Université de Savoie, F-74941 Annecy-Le-Vieux, France
J. Garra Tico
E. Grauges
Universitat de Barcelona, Facultat de Fisica, Departament ECM, E-08028 Barcelona, Spain
L. Lopez
A. Palano
Università di Bari, Dipartimento di Fisica and INFN, I-70126 Bari, Italy
G. Eigen
I. Ofte
B. Stugu
L. Sun
University of Bergen, Institute of Physics, N-5007 Bergen, Norway
G. S. Abrams
M. Battaglia
D. N. Brown
J. Button-Shafer
R. N. Cahn
Y. Groysman
R. G. Jacobsen
J. A. Kadyk
L. T. Kerth
Yu. G. Kolomensky
G. Kukartsev
D. Lopes Pegna
G. Lynch
L. M. Mir
T. J. Orimoto
M. Pripstein
N. A. Roe
M. T. Ronan
K. Tackmann
W. A. Wenzel
Lawrence Berkeley National Laboratory and University of California, Berkeley, California 94720, USA
P. del Amo Sanchez
C. M. Hawkes
A. T. Watson
University of Birmingham, Birmingham, B15 2TT, United Kingdom
T. Held
H. Koch
B. Lewandowski
M. Pelizaeus
T. Schroeder
M. Steinke
Ruhr Universität Bochum, Institut für Experimentalphysik 1, D-44780 Bochum, Germany
W. N. Cottingham
D. Walker
University of Bristol, Bristol BS8 1TL, United Kingdom
D. J. Asgeirsson
T. Cuhadar-Donszelmann
B. G. Fulsom
C. Hearty
N. S. Knecht
T. S. Mattison
J. A. McKenna
University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z1
A. Khan
M. Saleem
L. Teodorescu
Brunel University, Uxbridge, Middlesex UB8 3PH, United Kingdom
V. E. Blinov
A. D. Bukin
V. P. Druzhinin
V. B. Golubev
A. P. Onuchin
S. I. Serednyakov
Yu. I. Skovpen
E. P. Solodov
K. Yu Todyshev
Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia
M. Bondioli
S. Curry
I. Eschrich
D. Kirkby
A. J. Lankford
P. Lund
M. Mandelkern
E. C. Martin
D. P. Stoker
University of California at Irvine, Irvine, California 92697, USA
S. Abachi
C. Buchanan
University of California at Los Angeles, Los Angeles, California 90024, USA
S. D. Foulkes
J. W. Gary
F. Liu
O. Long
B. C. Shen
L. Zhang
University of California at Riverside, Riverside, California 92521, USA
H. P. Paar
S. Rahatlou
V. Sharma
University of California at San Diego, La Jolla, California 92093, USA
J. W. Berryhill
C. Campagnari
A. Cunha
B. Dahmes
T. M. Hong
D. Kovalskyi
J. D. Richman
University of California at Santa Barbara, Santa Barbara, California 93106, USA
T. W. Beck
A. M. Eisner
C. J. Flacco
C. A. Heusch
J. Kroseberg
W. S. Lockman
T. Schalk
B. A. Schumm
A. Seiden
D. C. Williams
M. G. Wilson
L. O. Winstrom
University of California at Santa Cruz, Institute for Particle Physics, Santa Cruz, California 95064, USA
E. Chen
C. H. Cheng
A. Dvoretskii
F. Fang
D. G. Hitlin
I. Narsky
T. Piatenko
F. C. Porter
California Institute of Technology, Pasadena, California 91125, USA
G. Mancinelli
B. T. Meadows
K. Mishra
M. D. Sokoloff
University of Cincinnati, Cincinnati, Ohio 45221, USA
F. Blanc
P. C. Bloom
S. Chen
W. T. Ford
J. F. Hirschauer
A. Kreisel
M. Nagel
U. Nauenberg
A. Olivas
J. G. Smith
K. A. Ulmer
S. R. Wagner
J. Zhang
University of Colorado, Boulder, Colorado 80309, USA
A. M. Gabareen
A. Soffer
W. H. Toki
R. J. Wilson
F. Winklmeier
Q. Zeng
Colorado State University, Fort Collins, Colorado 80523, USA
D. D. Altenburg
E. Feltresi
A. Hauke
H. Jasper
J. Merkel
A. Petzold
B. Spaan
K. Wacker
Universität Dortmund, Institut für Physik, D-44221 Dortmund, Germany
T. Brandt
V. Klose
H. M. Lacker
W. F. Mader
R. Nogowski
J. Schubert
K. R. Schubert
R. Schwierz
J. E. Sundermann
A. Volk
Technische Universität Dresden, Institut für Kern- und Teilchenphysik, D-01062 Dresden, Germany
D. Bernard
G. R. Bonneaud
E. Latour
V. Lombardo
Ch. Thiebaux
M. Verderi
Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, F-91128 Palaiseau, France
P. J. Clark
W. Gradl
F. Muheim
S. Playfer
A. I. Robertson
Y. Xie
University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom
M. Andreotti
D. Bettoni
C. Bozzi
R. Calabrese
A. Cecchi
G. Cibinetto
P. Franchini
E. Luppi
M. Negrini
A. Petrella
L. Piemontese
E. Prencipe
V. Santoro
Università di Ferrara, Dipartimento di Fisica and INFN, I-44100 Ferrara, Italy
F. Anulli
R. Baldini-Ferroli
A. Calcaterra
R. de Sangro
G. Finocchiaro
S. Pacetti
P. Patteri
I. M. Peruzzi
Also with Università di Perugia, Dipartimento di Fisica, Perugia, Italy
M. Piccolo
M. Rama
A. Zallo
Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati, Italy
A. Buzzo
R. Contri
M. Lo Vetere
M. M. Macri
M. R. Monge
S. Passaggio
C. Patrignani
E. Robutti
A. Santroni
S. Tosi
Università di Genova, Dipartimento di Fisica and INFN, I-16146 Genova, Italy
K. S. Chaisanguanthum
M. Morii
J. Wu
Harvard University, Cambridge, Massachusetts 02138, USA
R. S. Dubitzky
J. Marks
S. Schenk
U. Uwer
Universität Heidelberg, Physikalisches Institut, Philosophenweg 12, D-69120 Heidelberg, Germany
D. J. Bard
P. D. Dauncey
R. L. Flack
J. A. Nash
M. B. Nikolich
W. Panduro Vazquez
Imperial College London, London, SW7 2AZ, United Kingdom
P. K. Behera
X. Chai
M. J. Charles
U. Mallik
N. T. Meyer
V. Ziegler
University of Iowa, Iowa City, Iowa 52242, USA
J. Cochran
H. B. Crawley
L. Dong
V. Eyges
W. T. Meyer
S. Prell
E. I. Rosenberg
A. E. Rubin
Iowa State University, Ames, Iowa 50011-3160, USA
A. V. Gritsan
Z. J. Guo
C. K. Lae
Johns Hopkins University, Baltimore, Maryland 21218, USA
A. G. Denig
M. Fritsch
G. Schott
Universität Karlsruhe, Institut für Experimentelle Kernphysik, D-76021 Karlsruhe, Germany
N. Arnaud
J. Béquilleux
M. Davier
G. Grosdidier
A. Höcker
V. Lepeltier
F. Le Diberder
A. M. Lutz
S. Pruvot
S. Rodier
P. Roudeau
M. H. Schune
J. Serrano
V. Sordini
A. Stocchi
W. F. Wang
G. Wormser
Laboratoire de l’Accélérateur Linéaire, IN2P3/CNRS et Université Paris-Sud 11, Centre Scientifique d’Orsay, B. P. 34, F-91898 ORSAY Cedex, France
D. J. Lange
D. M. Wright
Lawrence Livermore National Laboratory, Livermore, California 94550, USA
C. A. Chavez
I. J. Forster
J. R. Fry
E. Gabathuler
R. Gamet
D. E. Hutchcroft
D. J. Payne
K. C. Schofield
C. Touramanis
University of Liverpool, Liverpool L69 7ZE, United Kingdom
A. J. Bevan
K. A. George
F. Di Lodovico
W. Menges
R. Sacco
Queen Mary, University of London, E1 4NS, United Kingdom
G. Cowan
H. U. Flaecher
D. A. Hopkins
P. S. Jackson
T. R. McMahon
F. Salvatore
A. C. Wren
University of London, Royal Holloway and Bedford New College, Egham, Surrey TW20 0EX, United Kingdom
D. N. Brown
C. L. Davis
University of Louisville, Louisville, Kentucky 40292, USA
J. Allison
N. R. Barlow
R. J. Barlow
Y. M. Chia
C. L. Edgar
G. D. Lafferty
T. J. West
J. I. Yi
University of Manchester, Manchester M13 9PL, United Kingdom
J. Anderson
C. Chen
A. Jawahery
D. A. Roberts
G. Simi
J. M. Tuggle
University of Maryland, College Park, Maryland 20742, USA
G. Blaylock
C. Dallapiccola
S. S. Hertzbach
X. Li
T. B. Moore
E. Salvati
S. Saremi
University of Massachusetts, Amherst, Massachusetts 01003, USA
R. Cowan
P. H. Fisher
G. Sciolla
S. J. Sekula
M. Spitznagel
F. Taylor
R. K. Yamamoto
Massachusetts Institute of Technology, Laboratory for Nuclear Science, Cambridge, Massachusetts 02139, USA
S. E. Mclachlin
P. M. Patel
S. H. Robertson
McGill University, Montréal, Québec, Canada H3A 2T8
A. Lazzaro
F. Palombo
Università di Milano, Dipartimento di Fisica and INFN, I-20133 Milano, Italy
J. M. Bauer
L. Cremaldi
V. Eschenburg
R. Godang
R. Kroeger
D. A. Sanders
D. J. Summers
H. W. Zhao
University of Mississippi, University, Mississippi 38677, USA
S. Brunet
D. Côté
M. Simard
P. Taras
F. B. Viaud
Université de Montréal, Physique des Particules, Montréal, Québec, Canada H3C 3J7
H. Nicholson
Mount Holyoke College, South Hadley, Massachusetts 01075, USA
G. De Nardo
F. Fabozzi
Also with Università della Basilicata, Potenza, Italy
L. Lista
D. Monorchio
C. Sciacca
Università di Napoli Federico II, Dipartimento di Scienze Fisiche and INFN, I-80126, Napoli, Italy
M. A. Baak
G. Raven
H. L. Snoek
NIKHEF, National Institute for Nuclear Physics and High Energy Physics, NL-1009 DB Amsterdam, The Netherlands
C. P. Jessop
J. M. LoSecco
University of Notre Dame, Notre Dame, Indiana 46556, USA
G. Benelli
L. A. Corwin
K. K. Gan
K. Honscheid
D. Hufnagel
H. Kagan
R. Kass
J. P. Morris
A. M. Rahimi
J. J. Regensburger
R. Ter-Antonyan
Q. K. Wong
Ohio State University, Columbus, Ohio 43210, USA
N. L. Blount
J. Brau
R. Frey
O. Igonkina
J. A. Kolb
M. Lu
R. Rahmat
N. B. Sinev
D. Strom
J. Strube
E. Torrence
University of Oregon, Eugene, Oregon 97403, USA
N. Gagliardi
A. Gaz
M. Margoni
M. Morandin
A. Pompili
M. Posocco
M. Rotondo
F. Simonetto
R. Stroili
C. Voci
Università di Padova, Dipartimento di Fisica and INFN, I-35131 Padova, Italy
E. Ben-Haim
H. Briand
J. Chauveau
P. David
L. Del Buono
Ch. de la Vaissière
O. Hamon
B. L. Hartfiel
Ph. Leruste
J. Malclès
J. Ocariz
A. Perez
Laboratoire de Physique Nucléaire et de Hautes Energies, IN2P3/CNRS, Université Pierre et Marie Curie-Paris6, Université Denis Diderot-Paris7, F-75252 Paris, France
L. Gladney
University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
M. Biasini
R. Covarelli
E. Manoni
Università di Perugia, Dipartimento di Fisica and INFN, I-06100 Perugia, Italy
C. Angelini
G. Batignani
S. Bettarini
G. Calderini
M. Carpinelli
R. Cenci
A. Cervelli
F. Forti
M. A. Giorgi
A. Lusiani
G. Marchiori
M. A. Mazur
M. Morganti
N. Neri
E. Paoloni
G. Rizzo
J. J. Walsh
Università di Pisa, Dipartimento di Fisica, Scuola Normale Superiore and INFN, I-56127 Pisa, Italy
M. Haire
Prairie View A&M University, Prairie View, Texas 77446, USA
J. Biesiada
P. Elmer
Y. P. Lau
C. Lu
J. Olsen
A. J. S. Smith
A. V. Telnov
Princeton University, Princeton, New Jersey 08544, USA
E. Baracchini
F. Bellini
G. Cavoto
A. D’Orazio
D. del Re
E. Di Marco
R. Faccini
F. Ferrarotto
F. Ferroni
M. Gaspero
P. D. Jackson
L. Li Gioi
M. A. Mazzoni
S. Morganti
G. Piredda
F. Polci
F. Renga
C. Voena
Università di Roma La Sapienza, Dipartimento di Fisica and INFN, I-00185 Roma, Italy
M. Ebert
H. Schröder
R. Waldi
Universität Rostock, D-18051 Rostock, Germany
T. Adye
G. Castelli
B. Franek
E. O. Olaiya
S. Ricciardi
W. Roethel
F. F. Wilson
Rutherford Appleton Laboratory, Chilton, Didcot, Oxon, OX11 0QX, United Kingdom
R. Aleksan
S. Emery
M. Escalier
A. Gaidot
S. F. Ganzhur
G. Hamel de Monchenault
W. Kozanecki
M. Legendre
G. Vasseur
Ch. Yèche
M. Zito
DSM/Dapnia, CEA/Saclay, F-91191 Gif-sur-Yvette, France
X. R. Chen
H. Liu
W. Park
M. V. Purohit
J. R. Wilson
University of South Carolina, Columbia, South Carolina 29208, USA
M. T. Allen
D. Aston
R. Bartoldus
P. Bechtle
N. Berger
R. Claus
J. P. Coleman
M. R. Convery
J. C. Dingfelder
J. Dorfan
G. P. Dubois-Felsmann
D. Dujmic
W. Dunwoodie
R. C. Field
T. Glanzman
S. J. Gowdy
M. T. Graham
P. Grenier
C. Hast
T. Hryn’ova
W. R. Innes
M. H. Kelsey
H. Kim
P. Kim
D. W. G. S. Leith
S. Li
S. Luitz
V. Luth
H. L. Lynch
D. B. MacFarlane
H. Marsiske
R. Messner
D. R. Muller
C. P. O’Grady
A. Perazzo
M. Perl
T. Pulliam
B. N. Ratcliff
A. Roodman
A. A. Salnikov
R. H. Schindler
J. Schwiening
A. Snyder
J. Stelzer
D. Su
M. K. Sullivan
K. Suzuki
S. K. Swain
J. M. Thompson
J. Va’vra
N. van Bakel
A. P. Wagner
M. Weaver
W. J. Wisniewski
M. Wittgen
D. H. Wright
A. K. Yarritu
K. Yi
C. C. Young
Stanford Linear Accelerator Center, Stanford, California 94309, USA
P. R. Burchat
A. J. Edwards
S. A. Majewski
B. A. Petersen
L. Wilden
Stanford University, Stanford, California 94305-4060, USA
S. Ahmed
M. S. Alam
R. Bula
J. A. Ernst
V. Jain
B. Pan
M. A. Saeed
F. R. Wappler
S. B. Zain
State University of New York, Albany, New York 12222, USA
W. Bugg
M. Krishnamurthy
S. M. Spanier
University of Tennessee, Knoxville, Tennessee 37996, USA
R. Eckmann
J. L. Ritchie
A. M. Ruland
C. J. Schilling
R. F. Schwitters
University of Texas at Austin, Austin, Texas 78712, USA
J. M. Izen
X. C. Lou
S. Ye
University of Texas at Dallas, Richardson, Texas 75083, USA
F. Bianchi
F. Gallo
D. Gamba
M. Pelliccioni
Università di Torino, Dipartimento di Fisica Sperimentale and INFN, I-10125 Torino, Italy
M. Bomben
L. Bosisio
C. Cartaro
F. Cossutti
G. Della Ricca
L. Lanceri
L. Vitale
Università di Trieste, Dipartimento di Fisica and INFN, I-34127 Trieste, Italy
V. Azzolini
N. Lopez-March
F. Martinez-Vidal
D. A. Milanes
A. Oyanguren
IFIC, Universitat de Valencia-CSIC, E-46071 Valencia, Spain
J. Albert
Sw. Banerjee
B. Bhuyan
K. Hamano
R. Kowalewski
I. M. Nugent
J. M. Roney
R. J. Sobie
University of Victoria, Victoria, British Columbia, Canada V8W 3P6
J. J. Back
P. F. Harrison
T. E. Latham
G. B. Mohanty
M. Pappagallo
Also with IPPP, Physics Department, Durham University, Durham DH1 3LE, United Kingdom
Department of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom
H. R. Band
X. Chen
S. Dasu
K. T. Flood
J. J. Hollar
P. E. Kutter
Y. Pan
M. Pierini
R. Prepost
S. L. Wu
Z. Yu
University of Wisconsin, Madison, Wisconsin 53706, USA
H. Neal
Yale University, New Haven, Connecticut 06511, USA
Abstract
We study the decays and , including intermediate resonances, using a sample of 382 million pairs recorded by the BABAR detector at the PEP-II factory. We measure the branching fractions and .
We also set the following upper limits at the 90% confidence level: non-resonant) , , and non-resonant). We measure the charge asymmetry in charged decays to to be .
pacs:
13.25.Hw, 12.15.Hh, 11.30.Er
††preprint: BABAR-PUB-07/017††preprint: SLAC-PUB-12441††preprint: MAN/HEP/2007/5
The decay chargeConj can in principle be used to measure the violation parameter . However, the measurement is not as straightforward as for sin2bBabar ; sin2bBelle , because it involves the decay of a pseudoscalar meson to two vector mesons, resulting in both -odd and -even final states. Furthermore, the decay can proceed through either a color-suppressed tree diagram, or a penguin diagram, both shown in Fig. 1, and interference between them could result in direct violation dunietz . Direct violation may also occur in decays, where it would manifest itself as a non-zero charge asymmetry:
[TABLE]
The large intrinsic width of the meson necessitates an analysis of a significant portion of the invariant mass spectrum of the dipion system.
The branching fraction for has previously been measured at BABAR to be babarJpsipipi , including a component with a branching fraction of . This measurement used a data sample containing approximately 56 million pairs, which is a subset of the sample used in this analysis. The charged decay to has not previously been observed, the CLEO collaboration set an upper limit at the 90% confidence level CLEO .
The data sample used here contains 382 million pairs collected with the BABAR detector at the PEP-II asymmetric-energy storage ring, taken at a center-of-mass (CM) energy equivalent to the mass of the resonance. An additional data sample, corresponding to an integrated luminosity of , taken at a CM energy 40 below the resonance, is used to study backgrounds from continuum production, where = .
A detailed description of the BABAR detector can be found elsewhere NIM . Charged-particle trajectories are measured by a five-layer silicon vertex tracker (SVT) and a 40-layer drift chamber (DCH) operating in a 1.5 T solenoidal magnetic field. A detector of internally reflected Cherenkov light (DIRC) is used for charged hadron identification. Surrounding this is a CsI(Tl) electromagnetic calorimeter (EMC), and finally the instrumented flux return (IFR) of the solenoid, which consists of layers of iron interspersed with resistive plate chambers or limited streamer tubes.
The meson is reconstructed in decays to , where refers to a charged lepton, or . Electrons are selected on the basis of the ratio of EMC shower energy to track momentum, and the energy profile of the EMC shower. For , an attempt is made to recover energy losses from bremsstrahlung, by looking for showers in the EMC close to those from the electron candidates. This procedure increases the selection efficiency for candidates by approximately exclCharmon . The muon selection algorithm uses a neural network, for which the most important input is the number of interaction lengths traversed in the IFR. The lepton pairs are fitted to a common vertex and the invariant mass of the combination is required to be in the range 2.98 (3.06) to 3.14 for the () channels. In order to reduce the background from decays, charged pion candidates are required to satisfy stringent particle identification criteria, based on combined ionization energy loss () in the DCH and SVT with the Cherenkov angle measured in the DIRC.
All tracks are required to originate close to the interaction point, and to lie in polar angle ranges where particle identification efficiency is well measured. The allowed ranges correspond to the geometric acceptances of the DIRC for pions, the EMC for electrons, and the IFR for muons.
Neutral pion candidates are formed by combining pairs of isolated showers in the EMC. These are required to spread over a minimum of three crystals, and to have an energy greater than .
To form a candidate, the reconstructed is combined with either a pair of oppositely charged pions, or a charged pion and a , and a kinematic and geometric fit is used to ensure that all final state particles are consistent with coming from the same decay point. In this fit, we constrain the invariant mass of the and the to have the nominal mass of the and , respectively PDG06 . The energy difference, , between the candidate energy and the single beam energy, , (both in the CM frame) is expected to be close to zero for signal events, and is therefore required to be in the interval to ( to ) for () candidates, corresponding to approximately of the resolution. Note that the range is asymmetric for candidates because the in the final state gives rise to a tail on the low side of the distribution, due to the EMC response to photons. For events where more than one candidate passes the selection criteria, the candidate with the smallest value of |$$\mathrm{\Delta E}$$| is chosen.
The branching fraction for each signal channel is obtained from:
[TABLE]
where and are the observed yield and selection efficiency, respectively, for a specific signal channel, and is the number of meson pairs. We assume that the decays equally often into neutral and charged meson pairs. The branching fraction is taken to be PDG06 .
We extract the signal yields for the , non-resonant, and channels by performing a fit on the sample of reconstructed candidates. We also perform a similar fit to the sample of charged candidates in order to obtain the signal yields for the decay channels and non-resonant. The fits are two-dimensional, extended, unbinned maximum likelihood fits to the distributions of and , Seven event categories are considered: (i) signal, (ii) non-resonant signal, (iii) signal, (iv) events, (v) background events that do not contain a (non- background), (vi) background events containing a (inclusive background), and (vii) selected background channels that have been studied in more detail (exclusive backgrounds). In the fit to neutral candidates, the decay channels that comprise category (vii) are , , , , jpsirhoch , and . For the fit to charged candidates, the exclusive background channels are , , , , , and . In both cases, these decay channels are not included in category (vi). Of course, categories (iii) and (iv) are only present in the fit to neutral candidates.
A probability density function (PDF) is constructed for each category, and the sum of these PDFs is used to fit the data. The likelihood function for the total sample is the product of the PDF values for each candidate, multiplied by a Poisson factor:
[TABLE]
where and are the numbers of observed and expected events, respectively, and is the value of the total PDF for event . For all event categories except for the exclusive background, is a product of one-dimensional PDFs in and .
Fig. 2 shows the and distributions for the data, and the projections of the PDFs for each category. The functional forms of these PDFs are as follows. For the , , , and components, the distributions are parametrized by Gaussian functions, all with the same values for the mean and width, which are allowed to float in the fit. In the fit to charged candidates, a Crystal Ball function CB is used instead for the distributions of the and signal components, as the presence of a in the final state gives rise to a tail on the low mass side of the peak.
The signal component is modeled by a relativistic -wave Breit-Wigner function BW in :
[TABLE]
where . The parameter is the pion momentum in the dipion rest frame, with ; is the momentum in the rest frame; is the orbital angular momentum between the and the which can be 0, 1 or 2; is the radius of the Blatt-Weisskopf barrier factor Blatt ; radius , which is taken to be , and is the meson mass.
The distribution for the non-resonant signal is , the product of a three-body phase space factor and a factor motivated by angular momentum conservation.
For the component, the distribution is described by a relativistic -wave Breit-Wigner, similar to Eq. 4, but with an extra factor in the expression for .
The decays to are not considered signal for this analysis. Most of them are removed by the requirement that all tracks are consistent with coming from the same vertex. The distribution of the remaining events are modeled by a narrow Gaussian function.
Non- background events are modeled by an ARGUS function argus in . The PDF is the sum of two Weibull functions wiebull , and a Breit-Wigner to describe the component of the continuum background. The parameters of this PDF are fixed to values obtained from fits to the mass sidebands of the data.
The distribution of the inclusive background is an ARGUS function plus a Gaussian at the mass. The width of this Gaussian is somewhat wider than that used for signal components as it represents candidates that are not correctly reconstructed. The PDF is a 4th-order polynomial. The PDF parameters for this component are fixed to values obtained by fits to a large sample of Monte Carlo (MC) simulated events, with signal events and exclusive background channels removed.
Each of the exclusive background channels is modeled by a two-dimensional PDF derived from the distribution of MC events for that decay channel. The normalizations of these PDFs are determined by taking into account the selection efficiency on MC simulation, and the world average branching fractions PDG06 .
For the branching fraction fit to neutral candidates there are twelve free parameters: the yields of the , , , , and inclusive background components, the mean and width of the Gaussian used for the signal distribution in , the parameters , , and in the lineshape, and the mean and width of the distribution for the component. All other parameters are fixed, including those describing lineshape of the , the normalizations and shapes of the exclusive background PDFs, and the shapes of the inclusive and non- background PDFs. We also fix the ratio of non- to (inclusive plus exclusive) background yields to a value obtained from fitting to data in the region \mbox{m_{\rm ES}}<5.26 (i.e. lower in mass than the signal region), and extrapolated to the fit region using distributions from MC simulation.
The configuration for the charged branching fraction fit is very similar. Here, there are eight free parameters, since there are no or components.
We find from MC simulation studies that correlations between and give rise to small biases in the numbers of and non-resonant signal candidates found in the charged fit. The sizes of these biases are evaluated by examining the distribution of residuals () for a large number of MC experiments, and are listed in Table 1. The yields obtained from the branching fraction fit are therefore corrected to take account of this by subtracting these quantities from the fitted yields.
The signal yields and statistical errors obtained from the branching fraction fits are listed in Table 1. We also list the statistical significances of the observed signals, , where is the likelihood from the fit, and is the value of the likelihood function when the fit is performed with the signal yield constrained to zero events.
We obtain signal efficiencies using samples of MC signal events, produced in monthly blocks so as to match variations in detector and background conditions. Particle identification efficiency is corrected using data control samples of electrons, muons, and pions. The sizes of these corrections vary with momentum and polar angle, and average corrections are about for electrons, for muons, and for pions. With these corrections applied, about () of electron (muon) pairs, and about of pions, satisfy their respective particle identification requirements. A small, energy-dependent correction (typically about relative) is also applied to decay modes containing a to account for known differences in photon detection efficiency between data and MC simulation. The corrected signal efficiencies are listed in Table 1.
Systematic errors on the branching fraction measurements arise from uncertainties on the signal efficiency, on the fitted yield, on the number of or events in the sample, and on the branching fraction. The number of pairs is known to accuracy, and an additional uncertainty is assigned corresponding to the assumption that the decays 50% of the time into and 50% of the time into PDG06 . The fractional uncertainty on is PDG06 .
The systematic uncertainties on the efficiency are largely due to imperfect simulation of the detector performance. These effects are studied using various data control samples. The largest sources of uncertainty are pion identification efficiency, a () relative error for charged (neutral) decay channels, and efficiency ( for charged decays). Tracking efficiency () and lepton identification efficiency () also contribute to the uncertainty on the efficiency. The polarization of the in decays is unknown. We use an MC sample in which the mesons are unpolarized to obtain the central value of the signal efficiency. We also evaluate the efficiency using MC data samples with different polarizations, and observe a relative variation of 2%, which is assigned as a systematic uncertainty on the branching fraction measurement.
We evaluate the impact of the fit procedure by observing the changes in the yields when varying the PDF parameters that were fixed in the fit within their uncertainties. The resulting differences are added quadratically for sets of parameters that are relatively uncorrelated, and added linearly for highly correlated sets of parameters. We also repeat the fit using alternative functional forms for some PDFs, namely the shape of the inclusive background in , and the lineshape, and include the resulting differences in the yield in the systematic uncertainty. In addition, for the and channels, systematic uncertainties equal to half of the bias corrections listed in Table 1 are assigned. The total systematic uncertainties on the yield vary from 1.8 events for the channel, to 11.2 events for the channel.
In order to assess the charge asymmetry , we perform a second fit to the charged candidate sample. In this fit, all the shape parameters for the signal and background components are fixed to values obtained from the branching fraction fit. This reduces the number of free parameters and improves the reliability of the fit. We include terms for the asymmetries in signal and background components as follows:
[TABLE]
where , , and are the yields for the signal, the non-resonant signal, and the different background components , respectively, is the charge of the candidate in event , and , , and are the corresponding charge asymmetries. The asymmetry parameters for the exclusive background channels are fixed to world average values PDG06 . The asymmetries for the non- background and inclusive background components are assumed to be the same (). This fit therefore has six free parameters: the yields of the signal, non-resonant signal, and inclusive background components, and the asymmetries , , and .
From the charge asymmetry fit, we obtain . The signal and background yields obtained from this fit are entirely consistent with those from the branching fraction fit.
A potential contribution to the systematic uncertainty on the charge asymmetry could come from different pion identification efficiencies for and , leading to different signal selection efficiencies for positively and negatively charged candidates. Using data control samples, this effect is found to be negligible.
The other sources of systematic error on the asymmetry are potential differences in the backgrounds for positive and negative candidates. The parameters describing the charge asymmetries of the exclusive background channels are varied within their uncertainties PDG06 , assuming a uncertainty for the channel for which no measurement is available. The normalizations of the exclusive background channels, and the shape parameters of the inclusive background and non- background components are varied in turn, and the fit is repeated. The resulting changes to the fitted value of are added in quadrature, and the total systematic uncertainty is found to be .
In summary, we measure the following branching fractions, where the first error in each case is statistical and the second is systematic: , and . The signals for , non-resonant, and non-resonant are not statistically significant, thus we set the following upper limits at the confidence level: , , and . These values are calculated by summing the statistical and systematic uncertainties in quadrature, multiplying the result by 1.28, and adding it to the central value of the branching fraction. We measure the charge asymmetry defined in Eq. 1 for the decays , .
We are grateful for the excellent luminosity and machine conditions provided by our PEP-II colleagues, and for the substantial dedicated effort from the computing organizations that support BABAR. The collaborating institutions wish to thank SLAC for its support and kind hospitality. This work is supported by DOE and NSF (USA), NSERC (Canada), IHEP (China), CEA and CNRS-IN2P3 (France), BMBF and DFG (Germany), INFN (Italy), FOM (The Netherlands), NFR (Norway), MIST (Russia), MEC (Spain), and PPARC (United Kingdom). Individuals have received support from the Marie Curie EIF (European Union) and the A. P. Sloan Foundation.
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