Measurement of the $e^+e^-\to K^0_{\scriptscriptstyle S}K^\pm\pi^{\mp}\pi^0$ and $K^0_{\scriptscriptstyle S}K^\pm\pi^\mp\eta$ cross sections using initial-state radiation
The BABAR Collaboration

TL;DR
This paper reports the first measurements of the cross sections for the processes $e^+e^- o K^0_S K^\pm \pi^\mp \pi^0$ and $e^+e^- o K^0_S K^\pm \\pi^\mp \\eta$ over energies up to 4 GeV using initial-state radiation, revealing resonance structures and $J/\psi$ decays.
Contribution
First measurement of these specific cross sections using initial-state radiation with detailed resonance analysis and $J/\psi$ branching fractions.
Findings
First cross section measurements for these processes.
Observation of intermediate resonances like $K^{*0}$ and $K^{*}(892)^\pm$.
Detection of $J/\psi$ in all channels with measured branching fractions.
Abstract
The processes and are studied over a continuum of energies from threshold to 4 GeV with the initial-state photon radiation method. Using 454 fb data collected with the BABAR detector at the SLAC PEP-II storage ring, the first measurements of the cross sections for these processes are obtained. The intermediate resonance structures from , and are studied. The is observed in all of these channels, and corresponding branching fractions are measured.
| Source | Correction | Systematic |
| (%) | uncertainty (%) | |
| reconstruction | +2.0 | 1.0 |
| , reconstruction | +1.6 | 2.0 |
| reconstruction | +1.1 | 1.0 |
| PID efficiency | 0.0 | 2.0 |
| selection | +3.7 | 4.6 |
| Background subtraction | — | 2.5, 2.0 GeV |
| 4.2, 2.0-3.0 GeV | ||
| 10.0, 3.0 GeV | ||
| Model acceptance | — | 0.5 |
| Luminosity and Rad.Corr. | — | 1.4 |
| Total | +8.6 | 6.3, 2.0 GeV |
| 7.1, 2.0-3.0 GeV | ||
| 11.5, 3.0 GeV |
| (GeV) | (nb) | (GeV) | (nb) | (GeV) | (nb) | (GeV) | (nb) | (GeV) | (nb) |
|---|---|---|---|---|---|---|---|---|---|
| 1.51 | 0.05 0.03 | 2.01 | 1.65 0.16 | 2.51 | 0.65 0.09 | 3.01 | 0.47 0.07 | 3.61 | 0.14 0.03 |
| 1.53 | 0.05 0.03 | 2.03 | 1.67 0.16 | 2.53 | 0.77 0.10 | 3.03 | 0.26 0.05 | 3.63 | 0.07 0.02 |
| 1.55 | 0.02 0.02 | 2.05 | 1.62 0.16 | 2.55 | 0.83 0.10 | 3.05 | 0.33 0.06 | 3.65 | 0.15 0.04 |
| 1.57 | 0.06 0.04 | 2.07 | 1.91 0.17 | 2.57 | 0.71 0.09 | 3.07 | 0.39 0.06 | 3.67 | 0.11 0.03 |
| 1.59 | 0.19 0.06 | 2.09 | 1.44 0.15 | 2.59 | 0.85 0.10 | 3.09 | 2.69 0.16 | 3.69 | 0.17 0.04 |
| 1.61 | 0.16 0.06 | 2.11 | 1.90 0.17 | 2.61 | 0.56 0.08 | 3.11 | 1.61 0.13 | 3.71 | 0.16 0.04 |
| 1.63 | 0.36 0.09 | 2.13 | 1.78 0.16 | 2.63 | 0.43 0.07 | 3.13 | 0.38 0.06 | 3.73 | 0.07 0.02 |
| 1.65 | 0.53 0.10 | 2.15 | 1.73 0.16 | 2.65 | 0.56 0.08 | 3.15 | 0.30 0.05 | 3.75 | 0.08 0.02 |
| 1.67 | 0.52 0.10 | 2.17 | 1.36 0.14 | 2.67 | 0.64 0.09 | 3.17 | 0.25 0.05 | 3.77 | 0.08 0.03 |
| 1.69 | 0.72 0.12 | 2.19 | 1.49 0.14 | 2.69 | 0.46 0.07 | 3.19 | 0.16 0.04 | 3.79 | 0.05 0.02 |
| 1.71 | 0.70 0.12 | 2.21 | 1.42 0.14 | 2.71 | 0.63 0.08 | 3.21 | 0.21 0.04 | 3.81 | 0.09 0.03 |
| 1.73 | 1.09 0.14 | 2.23 | 1.36 0.14 | 2.73 | 0.49 0.07 | 3.23 | 0.18 0.04 | 3.83 | 0.07 0.02 |
| 1.75 | 0.91 0.13 | 2.25 | 1.36 0.14 | 2.75 | 0.59 0.08 | 3.25 | 0.19 0.04 | 3.85 | 0.04 0.02 |
| 1.77 | 1.11 0.14 | 2.27 | 1.15 0.12 | 2.77 | 0.37 0.06 | 3.27 | 0.23 0.05 | 3.87 | 0.04 0.02 |
| 1.79 | 1.48 0.16 | 2.29 | 0.99 0.12 | 2.79 | 0.51 0.07 | 3.29 | 0.16 0.04 | 3.89 | 0.11 0.03 |
| 1.81 | 1.35 0.15 | 2.31 | 0.95 0.11 | 2.81 | 0.35 0.06 | 3.31 | 0.19 0.04 | 3.51 | 0.05 0.02 |
| 1.83 | 1.67 0.17 | 2.33 | 1.25 0.13 | 2.83 | 0.30 0.06 | 3.33 | 0.07 0.03 | 3.53 | 0.17 0.04 |
| 1.85 | 1.73 0.17 | 2.35 | 0.98 0.11 | 2.85 | 0.36 0.06 | 3.35 | 0.15 0.04 | 3.55 | 0.09 0.03 |
| 1.87 | 1.98 0.18 | 2.37 | 0.98 0.11 | 2.87 | 0.42 0.07 | 3.37 | 0.13 0.03 | 3.57 | 0.08 0.03 |
| 1.89 | 2.12 0.19 | 2.39 | 0.61 0.09 | 2.89 | 0.28 0.05 | 3.39 | 0.12 0.03 | 3.59 | 0.13 0.03 |
| 1.91 | 1.99 0.18 | 2.41 | 1.08 0.12 | 2.91 | 0.44 0.07 | 3.41 | 0.14 0.03 | 3.91 | 0.08 0.02 |
| 1.93 | 2.31 0.19 | 2.43 | 0.84 0.10 | 2.93 | 0.37 0.06 | 3.43 | 0.15 0.04 | 3.93 | 0.08 0.03 |
| 1.95 | 2.05 0.18 | 2.45 | 1.03 0.11 | 2.95 | 0.23 0.05 | 3.45 | 0.18 0.04 | 3.95 | 0.05 0.02 |
| 1.97 | 2.32 0.19 | 2.47 | 0.93 0.11 | 2.97 | 0.29 0.06 | 3.47 | 0.09 0.03 | 3.97 | 0.10 0.03 |
| 1.99 | 2.00 0.18 | 2.49 | 0.77 0.10 | 2.99 | 0.42 0.07 | 3.49 | 0.14 0.04 | 3.99 | 0.08 0.02 |
| Intermediate state | Number of events | ||||
|---|---|---|---|---|---|
| 454 | 60 | 74 | |||
| 1533 | 60 | 296 | |||
| 20 | 25 | 4 | |||
| 85 | 24 | 18 | |||
| 157 | 50 | 117 | |||
| 1173 | 64 | 170 | |||
| 141 | 27 | 28 | |||
| 187 | 25 | 35 | |||
| 138 | 16 | 55 | |||
| 814 | 36 | 229 | |||
| 2498 | 100 | 521 | |||
| Total | 7013 | 167 | 682 | ||
| Source | Correction | Systematic |
| (%) | uncertainty (%) | |
| efficiency | +2.0 | 2.0 |
| , reconstruction | +1.6 | 2.0 |
| reconstruction | +1.1 | 1.0 |
| PID efficiency | 0.0 | 2.0 |
| selection | -4.0 | 4.6 |
| Background subtraction | — | 11.0, 3.0 |
| 18.0, 3.0 | ||
| Model acceptance | — | 2.5 |
| Luminosity and Rad.Corr. | — | 1.4 |
| Total | +0.6 | 12.8, 3.0 |
| 19.1, 3.0 |
| (GeV) | (nb) | (GeV) | (nb) | (GeV) | (nb) | (GeV) | (nb) |
|---|---|---|---|---|---|---|---|
| 2.01 | 0.01 0.03 | 2.51 | 0.09 0.05 | 3.01 | 0.14 0.05 | 3.51 | -0.02 0.02 |
| 2.03 | 0.04 0.04 | 2.53 | 0.20 0.07 | 3.03 | 0.08 0.05 | 3.53 | 0.07 0.04 |
| 2.05 | 0.08 0.04 | 2.55 | 0.11 0.05 | 3.05 | 0.03 0.03 | 3.55 | 0.07 0.04 |
| 2.07 | 0.05 0.04 | 2.57 | 0.06 0.05 | 3.07 | 0.00 0.03 | 3.57 | 0.02 0.02 |
| 2.09 | -0.04 0.03 | 2.59 | 0.12 0.06 | 3.09 | 0.68 0.11 | 3.59 | -0.02 0.02 |
| 2.11 | 0.05 0.03 | 2.61 | 0.07 0.06 | 3.11 | 0.33 0.08 | 3.61 | 0.03 0.03 |
| 2.13 | 0.02 0.04 | 2.63 | 0.22 0.07 | 3.13 | 0.08 0.04 | 3.63 | 0.09 0.04 |
| 2.15 | 0.05 0.05 | 2.65 | 0.09 0.04 | 3.15 | 0.07 0.06 | 3.65 | -0.01 0.03 |
| 2.17 | 0.02 0.04 | 2.67 | 0.07 0.05 | 3.17 | 0.13 0.06 | 3.67 | 0.02 0.02 |
| 2.19 | 0.19 0.07 | 2.69 | 0.02 0.02 | 3.19 | 0.10 0.06 | 3.69 | 0.03 0.03 |
| 2.21 | 0.04 0.04 | 2.71 | 0.18 0.07 | 3.21 | 0.03 0.04 | 3.71 | 0.09 0.04 |
| 2.23 | 0.04 0.04 | 2.73 | 0.08 0.04 | 3.23 | 0.07 0.04 | 3.73 | 0.05 0.04 |
| 2.25 | 0.04 0.06 | 2.75 | 0.11 0.05 | 3.25 | 0.00 0.00 | 3.75 | 0.03 0.02 |
| 2.27 | 0.10 0.06 | 2.77 | 0.09 0.06 | 3.27 | 0.08 0.05 | 3.77 | 0.00 0.01 |
| 2.29 | 0.23 0.07 | 2.79 | 0.05 0.04 | 3.29 | 0.03 0.04 | 3.79 | 0.03 0.02 |
| 2.31 | 0.14 0.07 | 2.81 | 0.16 0.06 | 3.31 | 0.03 0.03 | 3.81 | 0.04 0.02 |
| 2.33 | 0.04 0.04 | 2.83 | 0.08 0.04 | 3.33 | 0.00 0.03 | 3.83 | 0.00 0.01 |
| 2.35 | 0.07 0.05 | 2.85 | 0.19 0.07 | 3.35 | 0.02 0.02 | 3.85 | 0.01 0.02 |
| 2.37 | 0.11 0.05 | 2.87 | 0.09 0.05 | 3.37 | 0.00 0.00 | 3.87 | 0.03 0.02 |
| 2.39 | 0.08 0.06 | 2.89 | 0.03 0.03 | 3.39 | 0.12 0.05 | 3.89 | 0.08 0.04 |
| 2.41 | 0.17 0.07 | 2.91 | 0.05 0.04 | 3.41 | 0.02 0.03 | 3.91 | 0.00 0.01 |
| 2.43 | 0.09 0.06 | 2.93 | 0.08 0.04 | 3.43 | 0.03 0.02 | 3.93 | 0.03 0.02 |
| 2.45 | 0.12 0.07 | 2.95 | 0.07 0.04 | 3.45 | 0.04 0.03 | 3.95 | 0.01 0.01 |
| 2.47 | 0.05 0.05 | 2.97 | 0.10 0.05 | 3.47 | 0.03 0.04 | 3.97 | 0.05 0.03 |
| 2.49 | 0.10 0.07 | 2.99 | 0.01 0.02 | 3.49 | 0.07 0.04 | 3.99 | 0.00 0.00 |
| Intermediate state | Number of events | ||||
| 123 | 36 | 13 | |||
| 242 | 21 | 24 | |||
| 10 | 5 | 2 | |||
| Total | 375 | 42 | 27 | ||
| This work | PDG(2014) | ||
|---|---|---|---|
| final state | (eV) | (10-3) | (10-3) |
| 31.71.91.8 | 5.70.30.4 | — | |
| 7.31.40.4 | 1.300.250.07 | 2.20.4 | |
| 10.41.01.9 | 1.870.180.34 | — | |
| + c.c. | 7.10.81.2 | 1.30.10.2 | — |
| + c.c. | 2.40.51.5 | 0.430.010.27 | — |
| 5.70.71.7 | 1.00.10.3 | — | |
| 4.60.61.6 | 0.80.10.3 | — | |
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BABAR-PUB-15/005
SLAC-PUB-16940
††thanks: Deceased††thanks: Deceased
The BABAR Collaboration
Measurement of the and cross
sections using initial-state radiation
J. P. Lees
V. Poireau
V. Tisserand
Laboratoire d’Annecy-le-Vieux de Physique des Particules (LAPP), Université de Savoie, CNRS/IN2P3, F-74941 Annecy-Le-Vieux, France
E. Grauges
Universitat de Barcelona, Facultat de Fisica, Departament ECM, E-08028 Barcelona, Spain
A. Palano
INFN Sezione di Bari and Dipartimento di Fisica, Università di Bari, I-70126 Bari, Italy
G. Eigen
University of Bergen, Institute of Physics, N-5007 Bergen, Norway
D. N. Brown
Yu. G. Kolomensky
Lawrence Berkeley National Laboratory and University of California, Berkeley, California 94720, USA
M. Fritsch
H. Koch
T. Schroeder
Ruhr Universität Bochum, Institut für Experimentalphysik 1, D-44780 Bochum, Germany
C. Heartyab
T. S. Mattisonb
J. A. McKennab
R. Y. Sob
Institute of Particle Physics; University of British Columbiab, Vancouver, British Columbia, Canada V6T 1Z1
V. E. Blinovabc
A. R. Buzykaeva
V. P. Druzhininab
V. B. Golubevab
E. A. Kravchenkoab
P. A. Lukinab
A. P. Onuchinabc
S. I. Serednyakovab
Yu. I. Skovpenab
E. P. Solodovab
K. Yu. Todyshevab
Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090a, Novosibirsk State University, Novosibirsk 630090b, Novosibirsk State Technical University, Novosibirsk 630092c, Russia
A. J. Lankford
University of California at Irvine, Irvine, California 92697, USA
J. W. Gary
O. Long
University of California at Riverside, Riverside, California 92521, USA
A. M. Eisner
W. S. Lockman
W. Panduro Vazquez
University of California at Santa Cruz, Institute for Particle Physics, Santa Cruz, California 95064, USA
D. S. Chao
C. H. Cheng
B. Echenard
K. T. Flood
D. G. Hitlin
J. Kim
T. S. Miyashita
P. Ongmongkolkul
F. C. Porter
M. Röhrken
California Institute of Technology, Pasadena, California 91125, USA
Z. Huard
B. T. Meadows
B. G. Pushpawela
M. D. Sokoloff
L. Sun
Now at: Wuhan University, Wuhan 43072, China
University of Cincinnati, Cincinnati, Ohio 45221, USA
J. G. Smith
S. R. Wagner
University of Colorado, Boulder, Colorado 80309, USA
D. Bernard
M. Verderi
Laboratoire Leprince-Ringuet, Ecole Polytechnique, CNRS/IN2P3, F-91128 Palaiseau, France
D. Bettonia
C. Bozzia
R. Calabreseab
G. Cibinettoab
E. Fioravantiab
I. Garziaab
E. Luppiab
V. Santoroa
INFN Sezione di Ferraraa; Dipartimento di Fisica e Scienze della Terra, Università di Ferrarab, I-44122 Ferrara, Italy
A. Calcaterra
R. de Sangro
G. Finocchiaro
S. Martellotti
P. Patteri
I. M. Peruzzi
M. Piccolo
M. Rotondo
A. Zallo
INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
S. Passaggio
C. Patrignani
Now at: Università di Bologna and INFN Sezione di Bologna, I-47921 Rimini, Italy
INFN Sezione di Genova, I-16146 Genova, Italy
H. M. Lacker
Humboldt-Universität zu Berlin, Institut für Physik, D-12489 Berlin, Germany
B. Bhuyan
Indian Institute of Technology Guwahati, Guwahati, Assam, 781 039, India
U. Mallik
University of Iowa, Iowa City, Iowa 52242, USA
C. Chen
J. Cochran
S. Prell
Iowa State University, Ames, Iowa 50011, USA
H. Ahmed
Physics Department, Jazan University, Jazan 22822, Kingdom of Saudi Arabia
A. V. Gritsan
Johns Hopkins University, Baltimore, Maryland 21218, USA
N. Arnaud
M. Davier
F. Le Diberder
A. M. Lutz
G. Wormser
Laboratoire de l’Accélérateur Linéaire, IN2P3/CNRS et Université Paris-Sud 11, Centre Scientifique d’Orsay, F-91898 Orsay Cedex, France
D. J. Lange
D. M. Wright
Lawrence Livermore National Laboratory, Livermore, California 94550, USA
J. P. Coleman
E. Gabathuler
D. E. Hutchcroft
D. J. Payne
C. Touramanis
University of Liverpool, Liverpool L69 7ZE, United Kingdom
A. J. Bevan
F. Di Lodovico
R. Sacco
Queen Mary, University of London, London, E1 4NS, United Kingdom
G. Cowan
University of London, Royal Holloway and Bedford New College, Egham, Surrey TW20 0EX, United Kingdom
Sw. Banerjee
D. N. Brown
C. L. Davis
University of Louisville, Louisville, Kentucky 40292, USA
A. G. Denig
W. Gradl
K. Griessinger
A. Hafner
K. R. Schubert
Johannes Gutenberg-Universität Mainz, Institut für Kernphysik, D-55099 Mainz, Germany
R. J. Barlow
Now at: University of Huddersfield, Huddersfield HD1 3DH, UK
G. D. Lafferty
University of Manchester, Manchester M13 9PL, United Kingdom
R. Cenci
A. Jawahery
D. A. Roberts
University of Maryland, College Park, Maryland 20742, USA
R. Cowan
Massachusetts Institute of Technology, Laboratory for Nuclear Science, Cambridge, Massachusetts 02139, USA
S. H. Robertson
Institute of Particle Physics and McGill University, Montréal, Québec, Canada H3A 2T8
B. Deya
N. Neria
F. Palomboab
INFN Sezione di Milanoa; Dipartimento di Fisica, Università di Milanob, I-20133 Milano, Italy
R. Cheaib
L. Cremaldi
R. Godang
Now at: University of South Alabama, Mobile, Alabama 36688, USA
D. J. Summers
University of Mississippi, University, Mississippi 38677, USA
P. Taras
Université de Montréal, Physique des Particules, Montréal, Québec, Canada H3C 3J7
G. De Nardo
C. Sciacca
INFN Sezione di Napoli and Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
G. Raven
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
K. Honscheid
R. Kass
Ohio State University, Columbus, Ohio 43210, USA
A. Gaza
M. Margoniab
M. Posoccoa
G. Simiab
F. Simonettoab
R. Stroiliab
INFN Sezione di Padovaa; Dipartimento di Fisica, Università di Padovab, I-35131 Padova, Italy
S. Akar
E. Ben-Haim
M. Bomben
G. R. Bonneaud
G. Calderini
J. Chauveau
G. Marchiori
J. Ocariz
Laboratoire de Physique Nucléaire et de Hautes Energies, IN2P3/CNRS, Université Pierre et Marie Curie-Paris6, Université Denis Diderot-Paris7, F-75252 Paris, France
M. Biasiniab
E. Manonia
A. Rossia
INFN Sezione di Perugiaa; Dipartimento di Fisica, Università di Perugiab, I-06123 Perugia, Italy
G. Batignaniab
S. Bettariniab
M. Carpinelliab
Also at: Università di Sassari, I-07100 Sassari, Italy
G. Casarosaab
M. Chrzaszcza
F. Fortiab
M. A. Giorgiab
A. Lusianiac
B. Oberhofab
E. Paoloniab
M. Ramaa
G. Rizzoab
J. J. Walsha
INFN Sezione di Pisaa; Dipartimento di Fisica, Università di Pisab; Scuola Normale Superiore di Pisac, I-56127 Pisa, Italy
A. J. S. Smith
Princeton University, Princeton, New Jersey 08544, USA
F. Anullia
R. Facciniab
F. Ferrarottoa
F. Ferroniab
A. Pilloniab
G. Pireddaa
INFN Sezione di Romaa; Dipartimento di Fisica, Università di Roma La Sapienzab, I-00185 Roma, Italy
C. Bünger
S. Dittrich
O. Grünberg
M. Heß
T. Leddig
C. Voß
R. Waldi
Universität Rostock, D-18051 Rostock, Germany
T. Adye
F. F. Wilson
Rutherford Appleton Laboratory, Chilton, Didcot, Oxon, OX11 0QX, United Kingdom
S. Emery
G. Vasseur
CEA, Irfu, SPP, Centre de Saclay, F-91191 Gif-sur-Yvette, France
D. Aston
C. Cartaro
M. R. Convery
J. Dorfan
W. Dunwoodie
M. Ebert
R. C. Field
B. G. Fulsom
M. T. Graham
C. Hast
W. R. Innes
P. Kim
D. W. G. S. Leith
S. Luitz
D. B. MacFarlane
D. R. Muller
H. Neal
B. N. Ratcliff
A. Roodman
M. K. Sullivan
J. Va’vra
W. J. Wisniewski
SLAC National Accelerator Laboratory, Stanford, California 94309 USA
M. V. Purohit
J. R. Wilson
University of South Carolina, Columbia, South Carolina 29208, USA
A. Randle-Conde
S. J. Sekula
Southern Methodist University, Dallas, Texas 75275, USA
M. Bellis
P. R. Burchat
E. M. T. Puccio
Stanford University, Stanford, California 94305, USA
M. S. Alam
J. A. Ernst
State University of New York, Albany, New York 12222, USA
R. Gorodeisky
N. Guttman
D. R. Peimer
A. Soffer
Tel Aviv University, School of Physics and Astronomy, Tel Aviv, 69978, Israel
S. M. Spanier
University of Tennessee, Knoxville, Tennessee 37996, USA
J. L. Ritchie
R. F. Schwitters
University of Texas at Austin, Austin, Texas 78712, USA
J. M. Izen
X. C. Lou
University of Texas at Dallas, Richardson, Texas 75083, USA
F. Bianchiab
F. De Moriab
A. Filippia
D. Gambaab
INFN Sezione di Torinoa; Dipartimento di Fisica, Università di Torinob, I-10125 Torino, Italy
L. Lanceri
L. Vitale
INFN Sezione di Trieste and Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy
F. Martinez-Vidal
A. Oyanguren
IFIC, Universitat de Valencia-CSIC, E-46071 Valencia, Spain
J. Albertb
A. Beaulieub
F. U. Bernlochnerb
G. J. Kingb
R. Kowalewskib
T. Lueckb
I. M. Nugentb
J. M. Roneyb
R. J. Sobieab
N. Tasneemb
Institute of Particle Physics; University of Victoriab, Victoria, British Columbia, Canada V8W 3P6
T. J. Gershon
P. F. Harrison
T. E. Latham
Department of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom
R. Prepost
S. L. Wu
University of Wisconsin, Madison, Wisconsin 53706, USA
Abstract
The processes and are studied over a continuum of energies from threshold to 4 GeV with the initial-state photon radiation method. Using 454 of data collected with the BABAR detector at the SLAC PEP-II storage ring, the first measurements of the cross sections for these processes are obtained. The intermediate resonance structures from , and are studied. The is observed in all of these channels, and corresponding branching fractions are measured.
pacs:
13.66.Bc, 14.40.-n, 13.25.Jx
I Introduction
Measurements of low-energy hadronic cross sections are important ingredients for the standard model prediction of the muon anomalous magnetic moment g-2 and provide a wealth of spectroscopic information. At an collider, a continuous spectrum of collision energies below the nominal center-of-mass (c.m.) energy can be attained by selecting events with initial-state radiation (ISR), as proposed in Ref. baier and discussed in Refs. arbus ; kuehn ; ivanch .
At energies below a few , individual exclusive final states must be studied in order to understand the experimental acceptance. The cross section for an incoming pair colliding at a c.m. energy to radiate a photon of energy Eγ and then annihilate into a specific final state is related to the corresponding direct cross section by:
[TABLE]
where and is the effective center-of-mass energy at which the state is produced. The radiator function , or probability density for photon emission, can be evaluated to better than 1% accuracy phokara .
Previously, we presented measurements of low-energy cross sections for many exclusive hadronic reactions using the ISR method, including a number of final states with two kaons in the final state, such as kk , kkpipi , , , and ksklpipi , kskpi , and ksklpi0s . Here, we extend our program and report measurements of the and channels, including studies of the intermediate resonant substructure.
II The BABAR detector and data set
The results presented in this analysis are based on a sample of annihilation data collected at = 10.58 GeV with the BABAR detector babar_det at the SLAC PEP-II storage ring, and correspond to an integrated luminosity of babar_lum .
Charged-particle momenta are measured in a tracking system consisting of a five-layer double-sided silicon vertex tracker (SVT) and a 40-layer central drift chamber (DCH), immersed in a 1.5 T axial magnetic field. An internally reflecting ring-imaging Cherenkov detector (DIRC) with fused silica radiators provides charged-particle identification (PID). A CsI electromagnetic calorimeter (EMC) is used to detect and identify photons and electrons. Muons are identified in the instrumented magnetic flux-return system.
Charged pion and kaon candidates are selected using a likelihood function based on the specific ionization in the DCH and SVT, and the Cherenkov angle measured in the DIRC. Photon candidates are defined as clusters in the EMC that have a shape consistent with an electromagnetic shower and no associated charged track.
To study the signal efficiency as well as backgrounds from other ISR processes, a special package of Monte Carlo (MC) simulation programs for radiative processes has been developed. Algorithms for generating hadronic final states via ISR are derived from Ref. czyz . Multiple soft-photon emission from initial-state charged particles is implemented by means of the structure-function technique kuraev ; strfun , while extra photon radiation from final-state particles is simulated with the PHOTOS PHOTOS package.
Large samples of signal and events are generated with this program, as well as samples of events from the principal ISR background sources, and . The generator is tuned to reproduce our measured kskpi dependence and resonant substructure. The other modes use smooth dependences and phase space for the final state hadrons. The signal and generators reproduce the kaon and pion kinematic distributions observed in the data, and we study the effect of resonances on the efficiency in each case below. In addition to the ISR sources, background arises from the non-ISR processes and . These events are simulated with the JETSET jetset and KORALB koralb event generators, respectively. All simulated events are processed through a detector simulation based on the GEANT4 GEANT4 package and are analyzed in the same manner as the data.
III Event selection and kinematics
We require events to contain at least three photon candidates and at least four charged tracks, including at least one candidate.
Photon candidates must lie within the acceptance of the EMC, defined by radians, where is the polar angle relative to the beam direction. The photon candidate with highest energy is assumed to be the ISR photon, and is required to have energy GeV, where the asterisk indicates a quantity evaluated in the c.m. frame. To reduce background from machine-induced soft photons, at least one additional photon candidate must have MeV and another MeV. We calculate the invariant mass of each pair of photon candidates, and consider a pair to be a candidate if and an candidate if . Events with at least one or candidate are retained.
We require at least two charged tracks in an event, of opposite charge, one identified as a kaon and one as a pion, that appear in the polar angle range radians. Each track must extrapolate to within 0.25 cm of the nominal collision point in the plane perpendicular to the beam axis and to within 3 cm along the axis.
The candidates are reconstructed in the decay mode from pairs of oppositely charged tracks not identified as electrons. They must have an invariant mass within 15 of the nominal mass, and a well reconstructed vertex at least 2 mm away from the beam axis. The angle between their reconstructed total momentum and the line joining their vertex with the primary vertex position must satisfy .
Each of these events is subjected to a set of 5-constraint (5C) kinematic fits, in which the four-momentum of the system is required to equal that of the initial system and the invariant mass of the two non-ISR photon candidates is constrained to the nominal or mass. The fits employ the full covariance matrices and provide values and improved determinations of the particle momenta and angles, which are used in the subsequent analysis. Fits are performed for every and candidate in the event, and we retain the combinations giving the lowest values of and .
IV The final state
IV.1 Event selection
The distribution for the selected events is shown in Fig. 1, after subtraction of the small background from events, which is discussed below and shown in the figure as the cross-hatched histogram. The corresponding distribution for simulated, selected signal events is shown as the open histogram. It is normalized to the data integrated over the first five bins, where the lowest ISR background contributions are expected. These distributions are broader than a typical 5C distribution because of multiple soft-photon emission from the initial state, which is not taken into account in the fit but is present in both the data and simulation. Previous studies have found these effect to be well simulated, and we assign a systematic uncertainty in Section IV.2. The remaining differences can be explained by ISR backgrounds, which we discuss in this subsection.
Signal event candidates are selected by requiring . Events with are used as a control sample to evaluate background. The signal and control samples contain 6859 (5656) and 1257(870) experimental (simulation) events, respectively.
Figure 2(a) compares the invariant-mass distribution of the candidate for data events in the signal region with the prediction of the signal-event simulation. The peak in the simulation is shifted with respect to the data by 0.2 MeV/c2, while the standard deviations are consistent with each other ( MeV/c2 and MeV/c2).
The corresponding distributions of the invariant mass of the candidate are shown in Fig. 2(b). In this case, a shift in the peak values of MeV/c2 is observed between data and simulation. The widths are found to be somewhat different: MeV/c2 and MeV/c2. Our selection criteria on the and masses are unrestrictive enough to ensure the shifts do not affect the result.
The distribution of the invariant mass of the final-state hadronic system for all data events in the signal region is shown as the open histogram in Fig. 3. A narrow peak due to decays is clearly visible.
Cross sections for backgrounds from processes are poorly known. In simulation, the dominant such process is , in which an energetic photon from one of the decays is erroneously taken as the ISR photon. These events have kinematic properties similar to signal events and yield a distribution peaked at low values. This component can be evaluated from the data, since such events produce a peak at the invariant mass when the photon erroneously identified as the ISR photon is combined with another photon in the event. Following the procedure described in Ref. kskpi , we use the MC mass distribution, and normalize it to the data in the region , where the peak is prominent. A consistent normalization factor is obtained from the 4–6 region. For lower masses, we see no significant peak in the data, and we use the very small MC prediction with the same normalization. The normalized contribution of the background to the distributions of Figs. 1 and 3 is shown by the cross-hatched histograms. For subsequent distributions, the background is subtracted.
The remaining background arises from ISR processes, dominated by events combined with random photons, and by events. These have broad distributions in , and can be estimated from the control region of the distribution. The points with errors in Fig. 4 show the difference between the data and the normalized simulated distributions of Fig. 1. Assuming good signal simulation and low ISR backround at low , this gives an estimate of the shape of the distribution for the total remaining background. The simulation of the ISR background shows a consistent shape and, when normalized to our previous measurement kskpi , accounts for about 10% of the entries. The simulated ISR background also has a consistent shape, and is expected to be much larger. Normalizing to a cross section nine times larger and adding the ISR prediction, we obtain the simulated distribution shown as the histogram in Fig. 4. This demonstrates sufficient understanding of the shape of the background distribution, and we assume that all remaining background has the simulated shape.
The genuine signal and the ISR background in any distribution other than the are estimated bin-by-bin using the numbers of selected events in that bin in the signal and control regions, and , after subtraction of the respective backgrounds. We take () to be the sum of the numbers of genuine signal () and ISR background events () in the signal (control) region. From the signal simulation, we obtain , and from the ISR background simulation . The observed values of and are and , respectively. We then solve for
[TABLE]
and in that bin.
The ISR background evaluated in this manner is shown by the hatched histogram in Fig. 3.
We find , where the uncertainty is statistical. The systematic uncertainty in the background estimate is taken to be 50%, to account for the limited knowledge of the cross section. The systematic uncertainty in the ISR background estimate is, more conservatively, taken to be 100%. The total systematic uncertainty is evaluated in three regions of . This yields relative uncertainties in of 2.5% for , 6.25% for , and 10% for .
IV.2 Detection efficiency
The reconstruction and selection efficiency for signal events is determined from the signal simulation, corrected for known differences with respect to data. The efficiencies for charged-track, photon, and reconstruction depend on the momentum and polar angle of the particle. The distributions of these variables are well described by the simulation for all relevant particles. The total event detection efficiency from the simulation, including the branching fraction of 0.692 pdg is shown as a function of in Fig. 5. A smooth parametrization, shown by the solid line, is used.
The detection efficiency was studied in our previous analysis pi0rec of events, yielding corrections to the simulation as a function of the momentum and polar angle. Applying these event-by-event to the signal simulation yields an overall correction of +21%, independent of . Similarly, we incorporate corrections to the charged-track and reconstruction efficiencies making use of the results found in our previous studies of ar06020 and ksklpipi events, respectively, where the latter corrections also depend on the flight length of the meson transverse to the beam direction. Corrections of % for each of the and , and % for the , are derived, again independent of . Similar corrections to the pion and kaon identification efficiencies amount to 02%.
We study a possible data-MC difference in the shape of the distribution using the signal, which has negligible non-ISR background. The increase in the yield when loosening the requirement from 20 to 200 is consistent with the expectation from simulation, and we estimate a correction of %.
As a cross-check, using a fast simulation of the detector response for computational simplicity, we compare the results obtained for signal events generated with a phase-space model to those obtained for signal events generated with intermediate resonances, specifically and . No difference in efficiency larger than 0.5% is seen, and we assign a systematic uncertainty of 0.5% to account both for possible model dependence and for the choice of parametrization of the efficiency as a function of . These corrections and uncertainties are listed in Table 1. The total correction is +8.6%
IV.3 The cross section for
The cross section is obtained from:
[TABLE]
where is the invariant mass of the system, is the number of signal events in the interval , is the differential luminosity, is the corrected efficiency discussed in Section IV.2, and is the correction to account for additional soft radiative photon emission from the initial state.
The differential luminosity is calculated using the total PEP-II integrated luminosity and the probability density function for ISR photon emission. To first order it can be written as:
[TABLE]
Here , , , and defines the acceptance of the analysis in the polar angle of the ISR photon in the c.m. frame, . Here, 20o.
The radiative correction is determined using generator-level MC (without simulation of the detector response) as the ratio of the spectrum with soft photon emission to that at the Born level. We determine , independent of . The combined systematic uncertainty in the luminosity and radiative correction is estimated to be 1.4%.
The fully corrected cross section is shown in Fig. 6 and listed in Table 2, with statistical uncertainties. The relative systematic uncertainties are summarized in Table 1; their total ranges from 6.2% for to 11.6% for .
IV.4 Substructure in the final state
Previously, we studied single production in the processes and kskpi , and double production, as well as , , and production, in , kkpipi and ksklpipi . Here, we expect single , double , , and possibly other resonance contributions, but the statistical precision of the data sample is insufficient for competitive measurements of such processes. Since it is important to confirm, as far as possible, resonant cross sections measured in different final states, and to verify expected isospin relations, we perform a simple study of those resonant subprocesses accessible with our data.
Decays of the are discussed below (Sec. VI), and for the study presented in this section we exclude the region . Figure 7(a) shows a scatter plot of the vs. invariant masses in the selected data sample, corrected for backgrounds as described above, while Fig. 7(b) shows the vs. masses. Clear signals for charged and neutral states are seen. Figure 8(a) is the projection of Fig. 7(a) onto the vertical axis, and shows a large peak as well as possible structure near 1.43 . This could arise from the or resonances, or any combination. We cannot study this structure in detail, but must take it into account in any fit.
We fit this distribution with a sum of two incoherent resonances and a non-resonant (NR) component. The is described by a relativistic P-wave Breit-Wigner (BW) function with a threshold term, with mass and width fixed to the world-average values pdg . The NR function is the product of a fifth-order polynomial in the inverse of the mass and an exponential cutoff at threshold. The second peak is described by a relativistic D- or S-wave BW with parameters fixed to the nominal values pdg for or . The narrower gives better fits here and in most cases below, so we use it everywhere. The result of the fit is shown as the line in Fig. 8(a), with the NR component indicated by the hatched area.
The fit yields events and events, where the uncertainties are statistical only. We do not claim observation of any particular state near 1.43 , but we quote a generic number of events from this fit and those below for completeness. Some of the events are produced through the channel, which we study below. In order to avoid double counting, we subtract the latter yield to obtain quasi-three-body events.
The projection of Fig. 7(a) onto the horizontal axis is shown in Fig. 8(b), along with the results of a corresponding fit, which, after subtraction, yields 45460 and 2025 events, respectively.
Corresponding fits to the projections of Fig. 7(b), shown in Figs. 8(c) and 8(d), followed by subtraction, yield 117364 events, 15750 events, 18725 events, and 14127 events. The uncertainties are statistical only; systematic uncertainties are discussed below.
Repeating these fits in 0.2 bins of , and using Eq. (3), we extract the cross sections for the processes , , and , shown in Fig. 9(a), as well as for the processes , and , shown in Fig. 9(b). They are similar in size and shape, except that the cross section is a factor of 2 – 3 lower. Accounting for the branching fractions, the and cross sections are consistent with those we measured previously kkpipi in the and final states, respectively, and the cross section is consistent with our previous measurement ksklpipi in the final state.
We investigate the correlated production of and directly by repeating the fit of the invariant mass distribution in 0.05 bins of the invariant mass. The resulting numbers of decays in each bin are shown in Fig. 10(a), and there is a substantial peak near 892 . Fitting these points with the same NR function plus a single BW function yields 13816 events. Similarly, fitting the invariant-mass distribution in bins of the invariant mass yields the results for decays shown in Fig. 10(b), and a single-resonance plus NR fit to those results yields 81436 events. Repeating this procedure in 0.2 bins of , and applying Eq. (3) provides the cross sections for and shown in Figs. 9(a) and 9(b), respectively.
The intermediate state dominates both and production, whereas the intermediate state (Fig. 9(a)) provides a significant fraction of production only near 2.1 . Accounting for the branching fractions, the cross section is consistent with our previous measurement kkpipi in the final state, where it also dominated production, and the cross section is consistent with our previous measurement kkpipi in the final state, where it also represented only a small fraction of and production.
Figure 11(a) shows the distribution of the invariant mass in selected, background-subtracted, events, which features a prominent peak. The limited size of the data sample precludes a detailed study of the region, and insteaad we perform a simple fit, using the the same NR function plus a relativistic P-wave BW with parameters fixed to those of the pdg . The result is shown as the line and hatched area in Fig. 11(a). The fitted number of events, , is a large fraction of the signal. Again, the uncertainty is statistical only, and systematic uncertainties, discussed below, are large.
Repeating this fit in 0.1 bins of and using Eq. (3), we extract the cross section for the process , shown in Fig. 11(b). It peaks at lower and at approximately twice the value of a typical cross section, and is consistent with our previous measurement of the cross section kkpipi .
Some of these events may arise from events, with , . Figures 12(a) and (b) show the and invariant-mass distributions, respectively. There is some apparent structure in the peak regions of both distributions, and, as an exercise, we perform fits to each distribution with a sum of the same NR function and three incoherent P-wave BW functions with parameters fixed to world-average pdg values for the (1270), (1400), and (1650) resonances. We note that other nearby resonances, such as or (1680), could contribute in addition or instead. The results are shown as the lines in Fig. 12, with the hatched areas denoting the NR components. The fit to the spectrum in Fig. 12(a) yields events, 739101 events, and 537126 events, where all uncertainties are statistical only. The fit to Fig. 12(b) yields 159376 events, 54760 events, and 049 events. Systematic uncertainties, discussed below, are large, but at least three (two) neutral (charged) states are required to describe the data. Far more charged than neutral (1270), but far fewer charged than neutral (1650), are produced.
Systematic uncertainties are substantial and difficult to evaluate. The NR function must describe a distribution complicated by resonances in, and kinematic constraints on, the other particles in the event, and the widths and positions of the and resonances do not allow strong constraints from the data. We adopt a simple, conservative procedure, based on the largest sources of variation. We repeat each fit with the NR function reduced to a fourth-order polynomial, and, separately, with the parameters of each resonance under study allowed to vary. The two resulting differences in yield are added in quadrature. To this we add, linearly, a 10% relative uncertainty to account for possible interference between resonances, the use of fixed vs. energy-dependent widths, and the choice of parametrization for the lineshape. This procedure is applied to the -integrated distributions in Figs. 8, 10, and 11(a), yielding systematic uncertainties in the respective total yields. In each case, the same relative uncertainty is applied as an overall normalization uncertainty in the cross sections (Figs. 9 and 11(b)).
The total yields of all measured , , and intermediate states and their uncertainties are listed in Table 3. We do not quote yields for any of the modes, as the uncertainties are very large. Here, we have subtracted each yield from both of the relevant yields, so that the sum of all yields, 7013683 events, can be compared with the total number of events, which is 643090. The two numbers are consistent, leaving little room for additional resonant contributions.
From Table 3 we see that events account for most of the production, but only half the production. Neutral pair production is much lower than charged, whereas and are similar. The rate of charged production is about three times that of neutral , and these are about four and fifteen times lower than those of the respective states. This pattern in the data after background subtraction is consistent with that seen in our previous study of and kkpipi .
V The final state
V.1 Event selection
The distribution for the selected events in the data is shown in Fig. 13, together with the corresponding distributions of simulated signal and background events. Again, the background is normalized using the peaks in the data and simulated invariant-mass distributions of the ISR photon candidate combined with all other photon candidates in the event. The signal simulation is normalized to have the same integral in the first five bins as the data minus the background. We define signal and control regions by and , respectively, containing 459 (1418) and 128 (147) data (simulated) events.
Figure 14(a) compares the invariant-mass distribution of the candidate for data events in the signal region with the prediction of the signal-event simulation, and Fig. 14(b) shows the corresponding invariant-mass distributions of the candidate. The peak is wider and more skewed than the peak in Fig. 2(a), but the selection criteria are sufficiently loose that there is no effect on the results.
The distribution of the invariant mass of the final-state hadronic system for data events in the signal region is shown in Fig. 15. A narrow peak due to decays is visible. The background is shown as the cross-hatched histrogram. We subtract it and then estimate the remaining background, assumed to arise from ISR events, as described above. We take the shape of the ISR background distribution directly from the data, as the difference between experimental distribution with background subtracted and that of the normalized signal simulation (points and open histogram in Fig. 13).
The total number of signal events obtained in this way is (stat.) We define the systematic uncertainty in two regions to be half the number of background events, resulting in a relative uncertainty in the signal event yields of 11% for and 18% for .
V.2 Detection efficiency
The total reconstruction and selection efficiency from the signal simulation is shown as a function of in Fig. 16, and is parametrized by a smooth function, shown as the solid line. We apply the same corrections for charged-track finding, reconstruction, and and identification efficiencies as in Sec. IV.2, and evaluate a correction for the shape of the distribution in the same way. We do not have a dedicated study of reconstruction efficiency, so we assume a correction equal to that on the efficiency, but with the uncertainty doubled.
The momentum and polar angle distributions of the , , , and candidates in the data are well described by the signal simulation. To study the effects of resonant substructure, we use fast simulations of signal and the ISR and processes. Their efficiencies are consistent and we take the largest difference, which is 2.5%, as the systematic uncertainty at all , to account for potential differences between data and simulation for the dependence of the efficiency and for the resonant structure. These corrections and their uncertainties are listed in Table 4. The total correction is %.
V.3 Cross section for
The cross section is obtained from the analog of Eq. (3), with the replaced by an . The differential luminosity is the same as for the cross section, and the radiative correction is evaluated in the analagous way to be R=1.00220.0016, independent of .
The fully corrected cross section is shown in Fig. 17 and listed in Table 5, with statistical uncertainties only. The relative systematic uncertainties are summarized in Table 4, yielding a total systematic uncertainty of 12.0% for and 19% for .
V.4 Substructure in
We study substructure in the mode in the same way as for the mode, using background-subtracted data and excluding the region . Here, we expect far less structure, and indeed we see no significant structure in the , , or invariant-mass distributions. Figure 18 shows the and invariant-mass distributions. The former shows a dominant peak, as well as structure near 1.43 , whereas the latter shows only a modest peak over a large, broad distribution.
We fit the distribution with a sum of incoherent and resonances and a NR component of the same form as in Sec. IV.4. The result of the fit is shown in Fig. 18(a) as the solid line, yielding 24221 events and 105 events, where the uncertainties are statistical only. There is no hint of a signal in the distribution, and we show the result of a single-resonanceNR fit in Fig. 18(b), which yields 12336(stat.) events.
We estimate systematic uncertainties due to the fitting procedure as above, and summarize these results in Table 6. The sum of these three resonant yields is consistent with the total number of events, and the suppression of neutral with respect to charged production is similar to that seen above in the final state, and in our previous study of the final state kkpipi .
Repeating these fits in 0.2 bins of , and using Eq. (3), we extract cross sections for the processes with , and with . These are shown in Fig. 19 with statistical uncertainties. A systematic uncertainty of 16% (21%) is applicable for below (above) 3 . These are the first measurements of these cross sections. Well above threshold, they become consistent with the corresponding cross sections.
VI The region
Figures 20 and 21 show expanded views of the mass distributions in Figs. 3 and 15, respectively, in the 2.8–3.8 mass region. They show clear signals, and no other significant structure. Fitting each of these distributions with the sum of a Gaussian describing the signal shape and a first-order polynomial function yields decays and decays. In these fits, the Gaussian center is fixed to the nominal mass pdg , and the fitted widths of 8–9 are consistent with the simulated resolution. The results of the fits are shown as solid lines on Figs. 20 and 21, with the hatched areas representing the non- components.
Using the simulated selection efficiencies with all the corrections described above and the differential luminosity, and dividing by the and branching fractions pdg , we calculate the products of the electronic width and branching fractions to these modes, and list them in Table 7. The first uncertainties are statistical, and the second include all the systematic uncertainties applied to the cross sections, described above.
Using the world-average value of pdg , we obtain the corresponding branching fractions, also listed in Table 7. The results for and include the contributions of both nonresonant and intermediate resonant states. The systematic uncertainties now include the uncertainty in . Our result for is consistent with, and more precise than, the world average value pdg . Our result for is the first measurement of this branching fraction. Our result, , is consistent with our previous measurement of kkpipi within around two standard deviations, and larger than our kkpipi , ksklpipi , and ksklpipi .
VI.1 Substructure in decays
We study the and contributions to the decay in a manner similar to that described in Sec. IV.4. Fitting the invariant mass distribution (see Fig. 11(a)) in 10 bins of the invariant mass yields the numbers of events per bin shown in Fig. 22. A fit to a Gaussian plus first-order polynomial (line and hatched area, respectively, in Fig. 22) yields decays, where the first uncertainty is statistical and the second is the systematic uncertainty associated with the fit to the invariant-mass distribution, described above. We correct for efficiency, and calculate the product from which we determine the branching fraction. The results, listed in Table 7, represent the first measurement of this decay mode.
We perform fits in bins of between 3.0 and 3.2 GeV, analogous to those shown in Figs. 8 and 10, of the , , and invariant-mass distributions, to determine the number of respective decays. Systematic uncertainties for these results are determined as described in Sec. IV.4. We fit each of the four distributions in Fig. 23 with a Gaussian plus first-order polynomial function to obtain decays, decays, decays, and decays. Here, the first uncertainties are statistical and the second systematic, where these latter terms result from the fit procedure. We correct for efficiency and calculate the products , and then the products of the and branching fractions, and list them in Table 7. With the current data samples, we are not able to study decays.
There are no previous measurements of these decay chains. The measurement ksklpipi is about half as large as our result for ; this difference is consistent with expectations for isospin conservation. In Ref. kkpipi it was found that the mode is dominated by the channel, which originates predominantly from the decay of apart from a small contribution from . Our results are consistent with this pattern, and the world-average pdg is well below our values for . On the other hand, the sum of our modes is only about twice the world-average pdg .
VII Summary
We have presented the first measurements of the and cross sections. The measurements are performed over the c.m. energy ranges from their respective threshold to 4 . The total uncertainty in the cross section ranges from 6.3% at low masses, to 11.5% at 3 , increasing with higher masses. That on the cross section is 12.8% (19.1%) below (above) 3 . These results are useful inputs into the total hadronic cross section, and the theoretical calculation of .
The cross section exhibits a slow rise from threshold, then a steep rise from 1.6 to a peak value of about 2 nb near 1.9 , followed by a slow decrease with increasing mass. There is a clear signal, but no other significant structure. The cross section is about half that of kkpipi , and about twice that of ksklpipi or kkpipi .
The cross section is much smaller, and consistent with zero between threshold and 2 . It then demonstrates a slow rise to a value of about 0.1 nb over a wide range around 2.5 , followed by a slow decrease with increasing mass. There is a clear signal and no other significant structure.
Several intermediate resonant states are evident in the data, and we have measured cross sections into this final state via , + c.c, + c.c., , , , and . There are also signals for the production of at least one state, and at least three states. Together, these channels dominate production, and the channel dominates both and production. The cross sections are consistent with previous results in other final states.
The final state includes contributions from , , and , and no other significant substructure. We have obtained the first measurements of the and cross sections, and these channels dominate the overall production.
With the results of this analysis, BABAR has now provided the cross section measurements for the complete set of allowed and processes except for those containing a pair. Since the latter modes are expected to be the same as the corresponding modes with a pair, the and contributions to can be calculated using this set of exclusive cross section measurements, with no assumptions or isospin relations. We expect a reduction in the total uncertainties of these contributions by a factor of five to eight compared with current estimates g-2 .
We have measured the branching fraction to , and presented the first branching fraction measurement to as well as the branching fractions to the final state via +c.c., +c.c., +c.c., , and . We cannot extract branching fractions for or , but our results for +c.c. and are both consistent with the world-average value for , indicating the same dominance of as in non- data. Our results for + c.c. and + c.c. respectively are about five and two times larger than the world-average value for .
Acknowledgements
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 Economía y Competitividad (Spain), the Science and Technology Facilities Council (United Kingdom), and the Binational Science Foundation (U.S.-Israel). Individuals have received support from the Marie-Curie IEF program (European Union) and the A. P. Sloan Foundation (USA).
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