Measurement of B\rightarrow D^{(*)}\tau\nu using full reconstruction tags
Measurement of B→D(∗)τν
using full reconstruction tags
I. Adachi
High Energy Accelerator Research Organization (KEK), Tsukuba
H. Aihara
Department of Physics, University of Tokyo, Tokyo
K. Arinstein
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
T. Aso
Toyama National College of Maritime Technology, Toyama
V. Aulchenko
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
T. Aushev
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne
Institute for Theoretical and Experimental Physics, Moscow
T. Aziz
Tata Institute of Fundamental Research, Mumbai
S. Bahinipati
University of Cincinnati, Cincinnati, Ohio 45221
A. M. Bakich
School of Physics, University of Sydney, NSW 2006
V. Balagura
Institute for Theoretical and Experimental Physics, Moscow
Y. Ban
Peking University, Beijing
E. Barberio
University of Melbourne, School of Physics, Victoria 3010
A. Bay
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne
I. Bedny
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
K. Belous
Institute of High Energy Physics, Protvino
V. Bhardwaj
Panjab University, Chandigarh
B. Bhuyan
India Institute of Technology Guwahati, Guwahati
M. Bischofberger
Nara Women’s University, Nara
S. Blyth
National United University, Miao Li
A. Bondar
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
A. Bozek
H. Niewodniczanski Institute of Nuclear Physics, Krakow
M. Bračko
University of Maribor, Maribor
J. Stefan Institute, Ljubljana
J. Brodzicka
H. Niewodniczanski Institute of Nuclear Physics, Krakow
T. E. Browder
University of Hawaii, Honolulu, Hawaii 96822
M.-C. Chang
Department of Physics, Fu Jen Catholic University, Taipei
P. Chang
Department of Physics, National Taiwan University, Taipei
Y.-W. Chang
Department of Physics, National Taiwan University, Taipei
Y. Chao
Department of Physics, National Taiwan University, Taipei
A. Chen
National Central University, Chung-li
K.-F. Chen
Department of Physics, National Taiwan University, Taipei
P.-Y. Chen
Department of Physics, National Taiwan University, Taipei
B. G. Cheon
Hanyang University, Seoul
C.-C. Chiang
Department of Physics, National Taiwan University, Taipei
R. Chistov
Institute for Theoretical and Experimental Physics, Moscow
I.-S. Cho
Yonsei University, Seoul
S.-K. Choi
Gyeongsang National University, Chinju
Y. Choi
Sungkyunkwan University, Suwon
J. Crnkovic
University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
J. Dalseno
Max-Planck-Institut für Physik, München
Excellence Cluster Universe, Technische Universität München, Garching
M. Danilov
Institute for Theoretical and Experimental Physics, Moscow
A. Das
Tata Institute of Fundamental Research, Mumbai
M. Dash
IPNAS, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
A. Drutskoy
University of Cincinnati, Cincinnati, Ohio 45221
W. Dungel
Institute of High Energy Physics, Vienna
S. Eidelman
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
D. Epifanov
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
M. Feindt
Institut für Experimentelle Kernphysik, Universität Karlsruhe, Karlsruhe
H. Fujii
High Energy Accelerator Research Organization (KEK), Tsukuba
M. Fujikawa
Nara Women’s University, Nara
N. Gabyshev
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
A. Garmash
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
G. Gokhroo
Tata Institute of Fundamental Research, Mumbai
P. Goldenzweig
University of Cincinnati, Cincinnati, Ohio 45221
B. Golob
Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana
J. Stefan Institute, Ljubljana
M. Grosse Perdekamp
University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
RIKEN BNL Research Center, Upton, New York 11973
H. Guo
University of Science and Technology of China, Hefei
H. Ha
Korea University, Seoul
J. Haba
High Energy Accelerator Research Organization (KEK), Tsukuba
B.-Y. Han
Korea University, Seoul
K. Hara
Nagoya University, Nagoya
T. Hara
High Energy Accelerator Research Organization (KEK), Tsukuba
Y. Hasegawa
Shinshu University, Nagano
N. C. Hastings
Department of Physics, University of Tokyo, Tokyo
K. Hayasaka
Nagoya University, Nagoya
H. Hayashii
Nara Women’s University, Nara
M. Hazumi
High Energy Accelerator Research Organization (KEK), Tsukuba
D. Heffernan
Osaka University, Osaka
T. Higuchi
High Energy Accelerator Research Organization (KEK), Tsukuba
Y. Horii
Tohoku University, Sendai
Y. Hoshi
Tohoku Gakuin University, Tagajo
K. Hoshina
Tokyo University of Agriculture and Technology, Tokyo
W.-S. Hou
Department of Physics, National Taiwan University, Taipei
Y. B. Hsiung
Department of Physics, National Taiwan University, Taipei
H. J. Hyun
Kyungpook National University, Taegu
Y. Igarashi
High Energy Accelerator Research Organization (KEK), Tsukuba
T. Iijima
Nagoya University, Nagoya
K. Inami
Nagoya University, Nagoya
A. Ishikawa
Saga University, Saga
H. Ishino
[
Tokyo Institute of Technology, Tokyo
K. Itoh
Department of Physics, University of Tokyo, Tokyo
R. Itoh
High Energy Accelerator Research Organization (KEK), Tsukuba
M. Iwabuchi
The Graduate University for Advanced Studies, Hayama
M. Iwasaki
Department of Physics, University of Tokyo, Tokyo
Y. Iwasaki
High Energy Accelerator Research Organization (KEK), Tsukuba
T. Jinno
Nagoya University, Nagoya
M. Jones
University of Hawaii, Honolulu, Hawaii 96822
N. J. Joshi
Tata Institute of Fundamental Research, Mumbai
T. Julius
University of Melbourne, School of Physics, Victoria 3010
D. H. Kah
Kyungpook National University, Taegu
H. Kakuno
Department of Physics, University of Tokyo, Tokyo
J. H. Kang
Yonsei University, Seoul
P. Kapusta
H. Niewodniczanski Institute of Nuclear Physics, Krakow
S. U. Kataoka
Nara University of Education, Nara
N. Katayama
High Energy Accelerator Research Organization (KEK), Tsukuba
H. Kawai
Chiba University, Chiba
T. Kawasaki
Niigata University, Niigata
A. Kibayashi
High Energy Accelerator Research Organization (KEK), Tsukuba
H. Kichimi
High Energy Accelerator Research Organization (KEK), Tsukuba
C. Kiesling
Max-Planck-Institut für Physik, München
H. J. Kim
Kyungpook National University, Taegu
H. O. Kim
Kyungpook National University, Taegu
J. H. Kim
Sungkyunkwan University, Suwon
S. K. Kim
Seoul National University, Seoul
Y. I. Kim
Kyungpook National University, Taegu
Y. J. Kim
The Graduate University for Advanced Studies, Hayama
K. Kinoshita
University of Cincinnati, Cincinnati, Ohio 45221
B. R. Ko
Korea University, Seoul
S. Korpar
University of Maribor, Maribor
J. Stefan Institute, Ljubljana
M. Kreps
Institut für Experimentelle Kernphysik, Universität Karlsruhe, Karlsruhe
P. Križan
Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana
J. Stefan Institute, Ljubljana
P. Krokovny
High Energy Accelerator Research Organization (KEK), Tsukuba
T. Kuhr
Institut für Experimentelle Kernphysik, Universität Karlsruhe, Karlsruhe
R. Kumar
Panjab University, Chandigarh
T. Kumita
Tokyo Metropolitan University, Tokyo
E. Kurihara
Chiba University, Chiba
E. Kuroda
Tokyo Metropolitan University, Tokyo
Y. Kuroki
Osaka University, Osaka
A. Kusaka
Department of Physics, University of Tokyo, Tokyo
A. Kuzmin
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
Y.-J. Kwon
Yonsei University, Seoul
S.-H. Kyeong
Yonsei University, Seoul
J. S. Lange
Justus-Liebig-Universität Gießen, Gießen
G. Leder
Institute of High Energy Physics, Vienna
M. J. Lee
Seoul National University, Seoul
S. E. Lee
Seoul National University, Seoul
S.-H. Lee
Korea University, Seoul
J. Li
University of Hawaii, Honolulu, Hawaii 96822
A. Limosani
University of Melbourne, School of Physics, Victoria 3010
S.-W. Lin
Department of Physics, National Taiwan University, Taipei
C. Liu
University of Science and Technology of China, Hefei
D. Liventsev
Institute for Theoretical and Experimental Physics, Moscow
R. Louvot
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne
J. MacNaughton
High Energy Accelerator Research Organization (KEK), Tsukuba
F. Mandl
Institute of High Energy Physics, Vienna
D. Marlow
Princeton University, Princeton, New Jersey 08544
A. Matyja
H. Niewodniczanski Institute of Nuclear Physics, Krakow
S. McOnie
School of Physics, University of Sydney, NSW 2006
T. Medvedeva
Institute for Theoretical and Experimental Physics, Moscow
Y. Mikami
Tohoku University, Sendai
K. Miyabayashi
Nara Women’s University, Nara
H. Miyake
Osaka University, Osaka
H. Miyata
Niigata University, Niigata
Y. Miyazaki
Nagoya University, Nagoya
R. Mizuk
Institute for Theoretical and Experimental Physics, Moscow
A. Moll
Max-Planck-Institut für Physik, München
Excellence Cluster Universe, Technische Universität München, Garching
T. Mori
Nagoya University, Nagoya
T. Müller
Institut für Experimentelle Kernphysik, Universität Karlsruhe, Karlsruhe
R. Mussa
INFN - Sezione di Torino, Torino
T. Nagamine
Tohoku University, Sendai
Y. Nagasaka
Hiroshima Institute of Technology, Hiroshima
Y. Nakahama
Department of Physics, University of Tokyo, Tokyo
I. Nakamura
High Energy Accelerator Research Organization (KEK), Tsukuba
E. Nakano
Osaka City University, Osaka
M. Nakao
High Energy Accelerator Research Organization (KEK), Tsukuba
H. Nakayama
Department of Physics, University of Tokyo, Tokyo
H. Nakazawa
National Central University, Chung-li
Z. Natkaniec
H. Niewodniczanski Institute of Nuclear Physics, Krakow
K. Neichi
Tohoku Gakuin University, Tagajo
S. Neubauer
Institut für Experimentelle Kernphysik, Universität Karlsruhe, Karlsruhe
S. Nishida
High Energy Accelerator Research Organization (KEK), Tsukuba
K. Nishimura
University of Hawaii, Honolulu, Hawaii 96822
O. Nitoh
Tokyo University of Agriculture and Technology, Tokyo
S. Noguchi
Nara Women’s University, Nara
T. Nozaki
High Energy Accelerator Research Organization (KEK), Tsukuba
A. Ogawa
RIKEN BNL Research Center, Upton, New York 11973
S. Ogawa
Toho University, Funabashi
T. Ohshima
Nagoya University, Nagoya
S. Okuno
Kanagawa University, Yokohama
S. L. Olsen
Seoul National University, Seoul
W. Ostrowicz
H. Niewodniczanski Institute of Nuclear Physics, Krakow
H. Ozaki
High Energy Accelerator Research Organization (KEK), Tsukuba
P. Pakhlov
Institute for Theoretical and Experimental Physics, Moscow
G. Pakhlova
Institute for Theoretical and Experimental Physics, Moscow
H. Palka
H. Niewodniczanski Institute of Nuclear Physics, Krakow
C. W. Park
Sungkyunkwan University, Suwon
H. Park
Kyungpook National University, Taegu
H. K. Park
Kyungpook National University, Taegu
K. S. Park
Sungkyunkwan University, Suwon
L. S. Peak
School of Physics, University of Sydney, NSW 2006
M. Pernicka
Institute of High Energy Physics, Vienna
R. Pestotnik
J. Stefan Institute, Ljubljana
M. Peters
University of Hawaii, Honolulu, Hawaii 96822
L. E. Piilonen
IPNAS, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
A. Poluektov
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
K. Prothmann
Max-Planck-Institut für Physik, München
Excellence Cluster Universe, Technische Universität München, Garching
B. Riesert
Max-Planck-Institut für Physik, München
M. Rozanska
H. Niewodniczanski Institute of Nuclear Physics, Krakow
H. Sahoo
University of Hawaii, Honolulu, Hawaii 96822
K. Sakai
Niigata University, Niigata
Y. Sakai
High Energy Accelerator Research Organization (KEK), Tsukuba
N. Sasao
Kyoto University, Kyoto
O. Schneider
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne
P. Schönmeier
Tohoku University, Sendai
J. Schümann
High Energy Accelerator Research Organization (KEK), Tsukuba
C. Schwanda
Institute of High Energy Physics, Vienna
A. J. Schwartz
University of Cincinnati, Cincinnati, Ohio 45221
R. Seidl
RIKEN BNL Research Center, Upton, New York 11973
A. Sekiya
Nara Women’s University, Nara
K. Senyo
Nagoya University, Nagoya
M. E. Sevior
University of Melbourne, School of Physics, Victoria 3010
L. Shang
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing
M. Shapkin
Institute of High Energy Physics, Protvino
V. Shebalin
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
C. P. Shen
University of Hawaii, Honolulu, Hawaii 96822
H. Shibuya
Toho University, Funabashi
S. Shiizuka
Nagoya University, Nagoya
S. Shinomiya
Osaka University, Osaka
J.-G. Shiu
Department of Physics, National Taiwan University, Taipei
B. Shwartz
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
F. Simon
Max-Planck-Institut für Physik, München
Excellence Cluster Universe, Technische Universität München, Garching
J. B. Singh
Panjab University, Chandigarh
R. Sinha
Institute of Mathematical Sciences, Chennai
A. Sokolov
Institute of High Energy Physics, Protvino
E. Solovieva
Institute for Theoretical and Experimental Physics, Moscow
S. Stanič
University of Nova Gorica, Nova Gorica
M. Starič
J. Stefan Institute, Ljubljana
J. Stypula
H. Niewodniczanski Institute of Nuclear Physics, Krakow
A. Sugiyama
Saga University, Saga
K. Sumisawa
High Energy Accelerator Research Organization (KEK), Tsukuba
T. Sumiyoshi
Tokyo Metropolitan University, Tokyo
S. Suzuki
Saga University, Saga
S. Y. Suzuki
High Energy Accelerator Research Organization (KEK), Tsukuba
Y. Suzuki
Nagoya University, Nagoya
F. Takasaki
High Energy Accelerator Research Organization (KEK), Tsukuba
N. Tamura
Niigata University, Niigata
K. Tanabe
Department of Physics, University of Tokyo, Tokyo
M. Tanaka
High Energy Accelerator Research Organization (KEK), Tsukuba
N. Taniguchi
High Energy Accelerator Research Organization (KEK), Tsukuba
G. N. Taylor
University of Melbourne, School of Physics, Victoria 3010
Y. Teramoto
Osaka City University, Osaka
I. Tikhomirov
Institute for Theoretical and Experimental Physics, Moscow
K. Trabelsi
High Energy Accelerator Research Organization (KEK), Tsukuba
Y. F. Tse
University of Melbourne, School of Physics, Victoria 3010
T. Tsuboyama
High Energy Accelerator Research Organization (KEK), Tsukuba
K. Tsunada
Nagoya University, Nagoya
Y. Uchida
The Graduate University for Advanced Studies, Hayama
S. Uehara
High Energy Accelerator Research Organization (KEK), Tsukuba
Y. Ueki
Tokyo Metropolitan University, Tokyo
K. Ueno
Department of Physics, National Taiwan University, Taipei
T. Uglov
Institute for Theoretical and Experimental Physics, Moscow
Y. Unno
Hanyang University, Seoul
S. Uno
High Energy Accelerator Research Organization (KEK), Tsukuba
P. Urquijo
University of Melbourne, School of Physics, Victoria 3010
Y. Ushiroda
High Energy Accelerator Research Organization (KEK), Tsukuba
Y. Usov
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
G. Varner
University of Hawaii, Honolulu, Hawaii 96822
K. E. Varvell
School of Physics, University of Sydney, NSW 2006
K. Vervink
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne
A. Vinokurova
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
C. C. Wang
Department of Physics, National Taiwan University, Taipei
C. H. Wang
National United University, Miao Li
J. Wang
Peking University, Beijing
M.-Z. Wang
Department of Physics, National Taiwan University, Taipei
P. Wang
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing
X. L. Wang
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing
M. Watanabe
Niigata University, Niigata
Y. Watanabe
Kanagawa University, Yokohama
R. Wedd
University of Melbourne, School of Physics, Victoria 3010
J.-T. Wei
Department of Physics, National Taiwan University, Taipei
J. Wicht
High Energy Accelerator Research Organization (KEK), Tsukuba
L. Widhalm
Institute of High Energy Physics, Vienna
J. Wiechczynski
H. Niewodniczanski Institute of Nuclear Physics, Krakow
E. Won
Korea University, Seoul
B. D. Yabsley
School of Physics, University of Sydney, NSW 2006
H. Yamamoto
Tohoku University, Sendai
Y. Yamashita
Nippon Dental University, Niigata
M. Yamauchi
High Energy Accelerator Research Organization (KEK), Tsukuba
C. Z. Yuan
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing
Y. Yusa
IPNAS, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
C. C. Zhang
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing
L. M. Zhang
University of Science and Technology of China, Hefei
Z. P. Zhang
University of Science and Technology of China, Hefei
V. Zhilich
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
V. Zhulanov
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
T. Zivko
J. Stefan Institute, Ljubljana
A. Zupanc
J. Stefan Institute, Ljubljana
N. Zwahlen
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne
O. Zyukova
Budker Institute of Nuclear Physics, Novosibirsk
Novosibirsk State University, Novosibirsk
Abstract
We present measurements of B→D∗τν and
B→Dτν decays using 604.5 fb−1 of data collected
at the Υ(4S) resonance with the Belle detector at the KEKB
asymmetric-energy e+e− collider.
Events are tagged by fully reconstructing one of the B mesons in hadronic
modes.
We obtain
B(B+→¯¯¯¯¯D0τ+ν)=(1.51+0.41−0.39+0.24−0.19±0.15)%,
B(B+→¯¯¯¯¯D∗0τ+ν)=(3.04+0.69−0.66+0.40−0.47±0.22)%,
B(B0→D−τ+ν)=(1.01+0.46−0.41+0.13−0.11±0.10)%,
B(B0→D∗−τ+ν)=(2.56+0.75−0.66+0.31−0.22±0.10)%
where the first error is statistical, the second is
systematic, and the third is due to the uncertainty in the branching fraction
for the normalization mode.
††preprint: BELLE-CONF-0901NTLP Preprint 2009-03
now at ]Okayama University, Okayama The Belle Collaboration
I Introduction
The semileptonic B decay to τ channel, B→D(∗)τν,
is a sensitive probe of extensions to the Standard Model (SM).
In the SM, it occurs via an external W emission diagram with predicted
branching fractions of (0.69±0.04)% and (1.41±0.07)%
for the B0→D−τ+ντ and
B0→D∗−τ+ντ modes, respectively Chen06 ().
On the other hand, in extensions of the SM, such as the Two Higgs Doublet Models
(2HDM) and the Minimal Supersymmetric Standard Model (MSSM), a charged Higgs
boson (H±) may contribute to the decay amplitude at tree level, and
the branching fraction may be modified significantly Grzad92 (); Tanaka95 (); Kiers97 (); Itoh05 (); Nierste07 ().
Both B→D(∗)τν and the purely leptonic decay
B+→τ+ντ have similar sensitivity to H± bosons
with different theoretical systematics; the former suffers from uncertainty
in the form factor, while the latter requires knowledge of the B decay
constant fB.
Therefore, the two decays provide complementary approaches to searching for
H± signatures in B decays.
Experimentally, measurements of the B→D(∗)τν decays are
challenging because at least two neutrinos are present in the final state.
The Belle collaboration has previously reported the first observation of the
decay B0→D∗−τ+ν, by inclusively reconstructing the
accompanying B via a 4-vector sum of all the charged and neutral tracks other
than the D∗ and τ daughter track candidates.
The reported branching fraction is
B(B0→D∗−τ+ν)=(2.02+0.40−0.37(stat)±0.37(syst))% Belle_Dsttaunu ().
In this paper, we present new measurements of B0→D(∗)−τ+ν
and B+→¯¯¯¯¯D(∗)0τ+ν decays.
Here we fully reconstruct one of the B mesons in the event, referred to
hereafter as the tag side (Btag), and compare properties of
the remaining particles, referred to as the signal side (Bsig),
to those expected for signal and background.
The method allows us to strongly suppress the combinatorial backgrounds,
and correctly calculate the missing mass which discriminates the signal
from B→D(∗)ℓν background.
Using a similar technique, the BaBar collaboration has reported the
branching fractions,
B(B0→D−τ+ν)=(0.86±0.24±0.11±0.06)% and
B(B0→D∗−τ+ν)=(1.62±0.31±0.10±0.05)%,
where the third uncertainty is from the normalization mode.
They also measured distributions of the lepton momentum and the squared
momentum transfer BaBar_Dtaunu ().
In order to avoid experimental bias, the signal region in data is blinded
until the event selection criteria are finalized.
Inclusion of the charge conjugate decays is implied throughout this paper.
Ii Experiment and Data Set
The analysis is based on the data recorded with the Belle detector at the
KEKB e+e− asymmetric-energy collider operating at the center-of-mass
(c.m.) energy of the Υ(4S) resonance.
KEKB consists of a low energy ring (LER) of 3.5 GeV positrons and a high
energy ring (HER) of 8 GeV electrons KEKB ().
The Υ(4S) data set used in this analysis corresponds to an
integrated luminosity of 605 fb−1 and contains
657×106B¯¯¯¯B events.
The Belle detector is a large-solid-angle magnetic spectrometer
that consists of a silicon vertex detector (SVD),
a 50-layer central drift chamber (CDC),
an array of aerogel threshold Cherenkov counters (ACC),
a barrel-like arrangement of time-of-flight scintillation counters (TOF),
and an electromagnetic calorimeter (ECL) comprised of CsI(Tl) crystals
located inside a super-conducting solenoid coil
that provides a 1.5 T magnetic field.
Muons and K0L mesons are identified by arrays of resistive plate counters
interspersed in the iron yoke (KLM).
The detector is described in detail elsewhere BELLE ().
A detailed Monte Carlo (MC) simulation, based on the GEANT package GEANT (),
is used to estimate the signal detection efficiency and to study the
background.
Large samples of the signal decays are generated with the EVTGEN package Evtgen ()
using the ISGW II form factor model ISGW2 ().
To model the B¯¯¯¯B and q¯¯¯q(q=u,d,s,c) backgrounds, large
generic B¯¯¯¯B and q¯¯¯q MC samples, corresponding to
about twice the integrated luminosity of data are used.
To further increase the B¯¯¯¯B MC statistics, we also use special
B¯¯¯¯B MC samples, corresponding to 1.5×1010B0¯¯¯¯B0 and B+B− pairs, where events are filtered based on
event generator information before running the time consuming GEANT
detector simulation.
Iii Event Reconstruction and Selection
iii.1 Tag-side Reconstruction
Charged particle tracks are reconstructed from hits in the SVD and CDC.
They are required to satisfy track quality cuts based on their impact
parameters relative to the measured profile of the interaction point
(IP) of the two beams.
Charged kaons are identified by combining information on ionization loss
(dE/dx) in the CDC, Cherenkov light yields in the ACC and
time-of-flight measured by the TOF system.
For the nominal requirement, the kaon identification efficiency is
approximately 88% and the probability of misidentifying a pion as
a kaon is about 8%.
Hadron tracks that are not identified as kaons are treated as pions.
Tracks satisfying the lepton identification criteria, as described below,
are removed from consideration.
Electron identification is based on a combination of dE/dx in CDC,
the response of the ACC, shower shape in the ECL,
position matching between ECL clusters and the track, and the ratio of the
energy deposited in the ECL to the momentum measured by the tracking system.
Muon candidates are selected using range of tracks measured in KLM
and the deviation of hits from the extrapolated track trajectories.
The lepton identification efficiencies are estimated to be about 90%
for both electrons and muons in the momentum region above 1.2 GeV/c.
The hadron misidentification rate is measured using reconstructed
K0S→π+π− decays and found to be less than 0.2% for electrons
and 1.5% for muons in the same momentum region.
K0S mesons are reconstructed using pairs of charged tracks that
have an invariant mass within ±30 MeV/c2 of the known K0S
mass and a well reconstructed vertex that is displaced from the IP.
Candidate γ’s are required to have a minimum energy deposit
Eγ≥50 MeV.
Candidate π0 mesons are reconstructed using γγ pairs
with invariant masses between 117 and 150 MeV/c2.
For slow π0’s used in D∗ reconstruction, the minimum
γ energy requirement is lowered to 30 MeV.
Btag candidates are reconstructed in the following decay modes:
B+→¯¯¯¯¯D(∗)0π+,
¯¯¯¯¯D(∗)0ρ+,
¯¯¯¯¯D(∗)0a+1,
¯¯¯¯¯D(∗)0D(∗)+s, and
B0→D(∗)−π+,
D(∗)−ρ+,
D(∗)−a+1,
D(∗)−D(∗)+s.
Candidate ρ+ and ρ0 mesons are reconstructed in the
π+π0 and π+π− decay modes, by requiring their invariant
masses to be within ±225 MeV/c2 of the nominal ρ mass.
We then select a+1 candidates by combining a ρ0 candidate
and a pion with invariant mass between 0.7 and 1.6 GeV/c2
and require that the charged tracks form a good vertex.
D meson candidates are reconstructed in the following decay modes:
¯¯¯¯¯D0→K+π−, K+π−π0,
K+π−π+π−, K0Sπ0,
K0Sπ−π+, K0Sπ−π+π0,
K−K+, and
D−→K+π−π−, K+π−π−π0,
K0Sπ−, K0Sπ−π0,
K0Sπ+π−π−, K+K−π−,
D+s→K0SK+, K+K−π+.
The D candidates are required to have an invariant mass MD within
4−5σ (σ is the mass resolution)
of the nominal D mass value depending on the mode.
D∗ mesons are reconstructed as
D∗+→D0π+, D+π0,
D∗0→D0π0, D0γ, and
D∗+s→D+sγ.
D∗ candidates from modes that include a pion are required to have a
mass difference ΔM=MDπ−MD within ±5 MeV/c2
of its nominal value.
For decays with a photon, we require that the mass difference
ΔM=MDγ−MD be within ±20 MeV/c2 of the
nominal value.
The selection of Btag candidates is based on the
beam-constrained mass Mbc≡√E2beam−p2B
and the energy difference ΔE≡EB−Ebeam.
Here, EB and pB are the reconstructed energy and momentum
of the Btag candidate in the e+e− c.m. system,
and Ebeam is the beam energy in the c.m. frame.
The background from jet-like continuum events (e+e−→q¯¯¯q,q=u,d,s,c)
is suppressed on the basis
of event topology: we require the normalized second Fox-Wolfram moment
(R2) R2 () to be smaller than 0.5, and
|cosθth|<0.8, where θth is the angle between
the thrust axis of the B candidate and that of the remaining tracks in
the event.
The latter requirement is not applied to
B+→¯¯¯¯¯D0π+,
¯¯¯¯¯D∗0(→¯¯¯¯¯D0π0)π+ and
B0→D∗−(→¯¯¯¯¯D0π−)π+
decays, where the continuum background is small.
For the Btag candidate, we require
5.27GeV/c2<Mbc<5.29GeV/c2 and
−80MeV<ΔE<60MeV.
If an event has multiple Btag candidates, we choose the one having
the smallest χ2 based on deviations from the nominal values of
ΔE, the D candidate mass, and the D∗−D mass difference if
applicable.
The number of B+ and B0 candidates in the selected region are
1.75×106 and 1.18×106, respectively.
By fitting the distribution to the sum of an empirical parameterization of
the background shape Albrecht () and a signal shape Bloom:1983pc (),
we estimate that in the selected region there are
(10.11±0.03)×105 (with purity=0.58) B+ and
(6.05±0.03)×105 (with purity=0.51) B0 events,
respectively.
iii.2 Signal-side Reconstruction
In the events where a Btag is reconstructed, we search for decays
of Bsig into a D(∗), τ and a neutrino.
In the present analysis, the τ lepton is identified in the leptonic
decay modes, μ−¯¯¯νν and e−¯¯¯νν.
We require that the charge/flavor of the τ daughter particles and
the D meson are consistent with the Bsig flavor, opposite
to the Btag flavor.
The loss of signal due to B0−¯¯¯¯¯¯B0 mixing is estimated by
the MC simulation.
The procedures to reconstruct charged particles (e±,μ±,π±,K±) and neutral particles (π0,K0S) for the
signal side are the same as those used for the tag side.
For γ candidates,
we require a minimum energy threshold of 50 MeV for the barrel, and 100
(150) MeV for the forward (backward) end-cap ECL.
A higher threshold is used for the endcap ECL, where the effect of beam
background is more severe.
We also require that the lepton momentum in the laboratory frame
exceeds 0.6 GeV/c to ensure good lepton identification efficiency.
The decay modes used for D reconstruction are slightly different from
those used for the tagging side:
¯¯¯¯¯D0→K+π−, K+π−π0,
K+π−π+π−, K+π−π+π−π0,
K0Sπ0, K0Sπ−π+,
K0Sπ−π+π0, and
D−→K+π−π−, K+π−π−π0,
K0Sπ−.
The D candidates are required to have an invariant mass MD within
5σ of the nominal D mass value.
D∗ mesons are reconstructed using the same decay modes as on the
tagging side:
D∗+→D0π+, D+π0, and
D∗0→D0π0, D0γ.
D∗ candidates are required to have a mass difference
ΔM=MDπ(γ)−MD within 5σ of the nominal value.
For signal selection, we use the following variables that characterize the
signal decay: the missing mass squared in the event (M2miss), the momentum
(in the c.m. system) of the τ daughter leptons (P∗ℓ), and the extra
energy in the ECL (EECLextra).
The missing mass squared is calculated as
M2miss=(EBtag−ED−Eτ→X)2−(−→PBtag−→PD(∗)−→Pτ→X)2,
using the energy and momenta of the Btag, the D(∗) candidate and
the lepton from the τ decay.
The signal decay is characterized by large M2miss due to the presence of
more than two neutrinos in the final state.
The lepton momenta (P∗ℓ) distribute
lower than those from primary B decays.
The extra energy in the ECL (EECLextra) is the sum of
the energies of photons that are not associated with either the Btag
or the Bsig reconstruction.
ECL clusters with energies greater than 50 MeV in the barrel, and 100
(150) MeV in the forward (backward) end-cap ECL are used to calculate
EECLextra.
For signal events, EECLextra must be either zero or a
small value arising from beam background hits, therefore, signal events
peak at low EECLextra.
On the other hand, background events are distributed toward higher
EECLextra due to the contribution from additional neutral
clusters.
We also require that the event has no extra charged tracks and no π0
candidate other than those from the signal decay and those used in the
Btag reconstruction.
Table 1 summarizes the cuts to define the signal region.
The cuts are optimized by maximizing the figure of merit (F.O.M.), defined
as F.O.M.=NS/√NS+NB, where NS(NB) are the
number of signal (total background) events in the signal region, assuming
the SM branching fractions for the Dτν and the D∗τν modes.
Cut variable
B→¯¯¯¯¯D0(D−)τ+ν
B→¯¯¯¯¯D∗0(D∗−)τ+ν
Number of extra tracks
=0
=0
Number of extra π0
=0
=0
P∗ℓ
≤1.2 GeV/c
≤1.2 GeV/c
M2miss
≥2.0 GeV2/c4
≥1.6 GeV2/c4
EECLextra
≤0.2 GeV
≤0.2 GeV
Table 1: Summary of the signal selection criteria.
iii.3 Signal Detection Efficiency and Expected Background
Table 2 lists the signal detection efficiencies, which are
estimated from signal MC simulation, with the selection criteria
shown in Table 1.
Taking account of the cross talks between B→Dτν and
B→D∗τν modes, the signal detection efficiency
(ϵij) is defined as,
Nij=ϵij⋅Bj⋅Ntag,
(1)
where Nij represents the yield of the generated j-th mode
reconstructed in the i-th mode.
Bj is the branching fraction of the j-th mode including
the sub-decay (τ and D(∗)) branching fractions.
Ntag is the number of B events fully reconstructed on the tagging
side.
Table 2 also shows, in parentheses, the efficiencies without
cuts on M2miss and EECLextra.
These are the two variables used to extract the signal yields.
Recon’d mode
Generated modes
¯¯¯¯¯D0τ+ν
¯¯¯¯¯D∗0τ+ν
¯¯¯¯¯D0τ+ν
2.55±0.05 (4.87±0.08)
0.90±0.05 (1.75±0.07)
¯¯¯¯¯D∗0τ+ν
0.34±0.01 (1.33±0.02)
1.08±0.03 (2.11±0.04)
Recon’d mode
Generated modes
D−τ+ν
D∗−τ+ν
D−τ+ν
3.21±0.06 (6.86±0.09)
0.23±0.03 (0.55±0.03)
D∗−τ+ν
0.11±0.01 (0.27±0.01)
0.80±0.02 (1.54±0.03)
Table 2: Signal detection efficiency (%) matrix for B+ (top) and
B0 (bottom) modes. The values in parenthesis are the efficiencies without
cuts on M2miss and EECLextra.
According to the MC simulation, the expected number of signal (background)
events in the signal region is
19(48) for B+→¯¯¯¯¯D0τ+ν,
7(13) for B0→D−τ+ν,
18(25) for B+→¯¯¯¯¯D∗0τ+ν, and
7(6) for B0→D∗−τ+ν.
The major background sources are semileptonic B decays, B→Dℓν,
D∗ℓν and D∗∗ℓν (60-70% depending on the decay
mode).
The remaining background comes from hadronic B decays including a D meson
in the final state.
Background from q¯¯¯q processes are found to be small (less than
one event).
As shown in Table 2, the cross talk between B→Dτν
and B→D∗τν arises, when a pion or a photon is missed in
the reconstruction of D∗, or when a random photon is combined with a D
to form a fake D∗. The cross-feed to other B0 or B+ tag samples is
negligibly small.
Iv Calibration using the B→D(∗)ℓν Sample
We use B→D(∗)ℓν (ℓ=e/μ) decays as control samples
to calibrate the background MC simulation and to verify the
EECLextra simulation.
We also use these decays to normalize the extracted signal yields.
We select B→D(∗)ℓν decays using the same selection
requirements as B→D(∗)τν, but without the cut on the
momentum of the τ daughter lepton and
with |M2mis|<1GeV2/c4 and EECLextra<1.2 GeV.
The four calibration decay modes:
B+→¯¯¯¯¯D0ℓ+ν,
B+→¯¯¯¯¯D∗0ℓ+ν,
B0→D−ℓ+ν, and
B0→D∗ℓ+ν,
peak around zero in the missing mass distributions,
as shown in Figure 1.
The yields of the calibration modes are extracted by fitting the distributions
with expected shapes based on MC simulation for the signal and the background.
The major background in each distribution arises from other semileptonic
decays, where a pion or a photon is missed (i.e. B→D∗ℓν is
reconstructed as B→Dℓν if the soft π0 or γ from
the D∗ is missed), or a random photon is used in D∗0 reconstruction
(i.e. B→Dℓν misreconstructed as B→D∗ℓν).
Here the two distributions for B+ and B0 candidates are fitted simultaneously.
Table 3 lists the yields extracted for each calibration
decay mode, which include the yields detected as cross talk; for example,
the yield of ¯¯¯¯¯D0ℓ+ν is the sum of B+→¯¯¯¯¯D0ℓ+ν decays measured in the ¯¯¯¯¯D0ℓ+ν and ¯¯¯¯¯D∗0ℓ+ν distributions.
When we compare the extracted yields with expected yields from the MC
simulation, the ratio of the measured to the expected yields
(Rcorr) are found to be 0.75 – 0.84, depending on the mode.
The ratios are used as scale factors to correct the normalization in the
MC simulation for B→D(∗)ℓν semileptonic decays, which are
the major backgrounds in the B→D(∗)τν detection.
¯¯¯¯¯D0ℓ+ν
¯¯¯¯¯D∗0ℓ+ν
¯¯¯¯¯D−ℓ+ν
¯¯¯¯¯D∗−ℓ+ν
Yield
1156 ± 44
2152 ± 76
338 ± 21
769 ± 35
Efficiency (%)
8.97 ± 0.05
6.86 ± 0.08
11.3 ± 0.12
5.43 ± 0.04
Table 3: Yields and efficiencies of the calibration modes.
Figure 1:
Distribution of missing mass squared (M2mis) for
B+→¯¯¯¯¯D0ℓ+ν (top-left),
B+→¯¯¯¯¯D∗0ℓ+ν (top-right),
B0→D−ℓ+ν (bottom-left), and
B0→D∗−ℓ+ν (bottom-right).
Data are plotted as points with error bars, the results of the fit (solid line) along with
the signal (dashed red line), other semileptonic decays (dotted blue line) and misidentified
hadronic events (hatched histogram) components are also shown.
Figure 2 compares the EECLextra distribution
for the control samples in data and the MC simulation after the correction.
The agreement between the data and the MC simulation is satisfactory, and
valid the EECLextra simulation.
We also confirm that the number of events found in the sideband of
the (M2miss,EECLextra) signal region is consistent
within statistics for the data and the scaled MC simulation.
Here the sideband is defined by EECLextra>0.4 GeV,
and M2miss<1.0 GeV2/c4, for all four signal modes.
Figure 2:
Comparison of EECLextra distributions for the control samples
in data and the MC simulation.
V Signal Extraction
The B→Dτν and B→D∗τν signal yields are extracted
using unbinned extended maximum likelihood fits to the two-dimensional
(M2miss,EECLextra) distributions obtained after the
selection of the signal decays.
The fit components are two signal modes; B→Dτν and
B→D∗τν, and the backgrounds from B→Dℓν,
B→D∗ℓν and other processes.
The likelihood is constructed as,
Here Nj and fj(M2miss,EECLextra) represent the number of events and the
two-dimensional probability density function (PDF) as a function
of M2miss and EECLextra, respectively, for
process j.
In the fit to the B0→D∗−τ+ν distribution,
the Dτν cross-feed (fDτν) and Dℓν background
(fDℓν) are not included, because their contribution are found
to be small according to the MC simulation.
The fit region is defined by
(−2GeV2/c4<M2miss<8GeV2/c4,0GeV<EECLextra<1.2GeV)
for all four signal modes.
The two-dimensional PDF’s for D(∗)τν and D(∗)ℓν
processes are obtained by taking the product of a one-dimensional PDF for
each variable, as the correlations between M2miss and
EECLextra
are found to be small in the MC simulation.
The one-dimensional PDF’s for M2miss are modeled by asymmetric
Gaussian or double Gaussian distributions, whereas the PDF’s for
EECLextra are histograms obtained
from the MC simulation.
The PDF for other background processes (fother) uses the two-dimensional
histograms obtained from MC simulation,
since correlations between the two variables are significant for these
background processes, which mainly come from hadronic B decays.
We fit the distributions for B0 and B+ tags separately.
The cross talk between the two tags is found to be small according
to the MC simulation.
For each B0 and B+ tag, we then fit simultaneously the two
distributions for the Dτν and D∗τν components.
The ratio of the number of events found in the two distributions
is constrained according to the efficiency matrix shown in Table
2.
The above procedure to extract the signal yields has been tested by
“toy MC experiments”: in each experiment, the number of events in
each (M2miss,EECLextra) bin is generated according to
Poisson statistics, with the mean (μ) fixed to the number
of events found in the MC simulation, including the
B→D(∗)τν signals with the SM branching fraction.
The distributions are then fit with the procedure described in the
previous subsection.
We generate 500 experiments, and we confirm
that the means of the extracted yields are consistent with
the input μ values.
The signal extraction procedure has also been checked by performing
a fit to sample distributions from generic MC events, which are the
sum of the generic
B¯¯¯¯B and q¯¯¯q processes,
where semileptonic B to τ decays,
B→Dτν, D∗τν and D∗∗τν,
are removed from the B¯¯¯¯B samples.
For all four signal decays, the signal yields obtained are consistent
with zero within the statistical uncertainty.
Vi Results and Systematic Uncertainties
In this paper, we present a relative measurement; we extract the yields of
both the signal mode ¯¯¯¯B→D(∗)τ+ν and the
normalization mode ¯¯¯¯B→D(∗)ℓ+ν to deduce the four
ratios,
R(¯¯¯¯¯D0)
≡
B(B+→¯¯¯¯¯D0τ+ν)/B(B+→¯¯¯¯¯D0ℓ+ν)
(4)
R(¯¯¯¯¯D∗0)
≡
B(B+→¯¯¯¯¯D∗0τ+ν)/B(B+→¯¯¯¯¯D∗0ℓ+ν)
(5)
R(D−)
≡
B(B0→D−τ+ν)/B(B0→D−ℓ+ν)
(6)
R(D∗−)
≡
B(B0→D∗−τ+ν)/B(B0→D∗−ℓ+ν).
(7)
The yields of the normalization modes are extracted as described in
Section IV.
For the signal modes, after finalizing the signal selection criteria and
completing the studies in previous sections, we have opened the signal
region, and performed the fits with the procedure described in
Section V.
Figures 3 and 4 show
the fit results for B+→D(∗)τν and
B0→D(∗)τν, respectively.
There are excesses in the signal region for all four decay modes.
Figure 5 shows the signal likelihood curves,
while Table 4 summarizes the results.
The extracted yields (statistical significances) are
98.6+26.3−25.0(4.4),
99.8+22.2−21.3(5.2),
17.2+7.69−6.88(2.8), and
25.0+7.17−6.27(5.9), for
B→¯¯¯¯¯D0τ+ν, ¯¯¯¯¯D∗0τ+ν,
D−τ+ν and D∗−τ+ν, respectively.
The efficiency ϵ, shown in Table 4, corresponds to
the sum of the signal yields measured in B→Dτν and
B→D∗τν selections.
The ratio of B(B→D(∗)τν) to
B(B→D(∗)ℓν) are calculated as,
Note that the efficiency ϵ(D(∗)ℓν) is the average
over electron and muon modes, while the yields are extracted for
the sum of the two modes.
Figure 3:
Fit results for B+→¯¯¯¯¯D0τ+ν (top) and
B+→¯¯¯¯¯D∗0τ+ν (bottom).
The M2miss (left) and EECLextra (right) distributions
are shown with the signal selection cut on the other variable listed in
Table 1.
Figure 4:
Fit results for
B0→D−τ+ν (top) and
B0→D∗−τ+ν (bottom).
The M2miss (left) and EECLextra (right) distributions
are shown with the signal selection cut on the other variable listed in Table 1.
Figure 5:
Likelihood curves as a function of signal yields for
B+→¯¯¯¯¯D0τ+ν (top-left) and
B+→¯¯¯¯¯D∗0τ+ν (top-right).
B0→D−τ+ν (bottom-left) and
B0→D∗−τ+ν (bottom-right).
Red (black) curves show the likelihood
with (without) the systematic uncertainty
Quantity
¯¯¯¯¯D0τ+ν
¯¯¯¯¯D∗0τ+ν
N(¯¯¯¯¯D(∗)τ+ν)
98.6+26.3−25.0
99.8+22.2−21.3
ϵ(¯¯¯¯¯D(∗)τ+ν) [%]
6.20 ± 0.08
3.86 ± 0.08
R[%]
70.2 +18.9−18.0+11.0−9.1
46.8 +10.6−10.2+6.2−7.2
Σ(Σstat)
3.8 (4.4)
3.9 (5.2)
B [%]
1.51 +0.41−0.39+0.24−0.19± 0.15
3.04 +0.69−0.66+0.40−0.47± 0.22
Quantity
D−τ+ν
D∗−τ+ν
N(¯¯¯¯¯D(∗)τ+ν)
17.2+7.7−6.9
25.0+7.2−6.3
ϵ(¯¯¯¯¯D(∗)τ+ν) [%]
6.86 ± 0.09
2.09 ± 0.04
R[%]
47.6 +21.6−19.3+6.3−5.4
48.1 +14.0−12.3+5.8−4.1
Σ(Σstat)
2.6 (2.8)
4.7 (5.9)
B[%]
1.01 +0.46−0.41+0.13−0.11± 0.10
2.56 +0.75−0.66+0.31−0.22± 0.10
Table 4: Summary of the results; extracted yields from the fitting, N,
the efficiency to detect the signal in either of
B→Dτ(ℓ)ν and B→D∗τ(ℓ)ν selections, ϵ,
the deduced ratio of B(B→D(∗)τν) to
B(B→D(∗)ℓν), R,
significance of the signal with (without) systematic errors, Σ(Σstat),
deducued branching fraction, B.
Table 5 summarizes the systematic errors related to
the ratio measurement, where reconstruction efficiency errors are
largely cancel out. The following systematic errors are considered.
M2miss shape:
The systematic error due to uncertainties in the M2miss shape is
estimated by varying the PDF parameters.
The fitting procedure is repeated for each parameter variation, and
relative changes in the extracted yields are added in quadrature.
This method will give conservative estimates, as there are
correlations in M2miss resolutions between decay modes.
EECLextra shape:
The systematic error due to uncertainties in the EECLextra
shape is estimated by varying the content of each PDF histogram bin by its
±1σ statistical error.
The fitting procedure is repeated for each bin variation, and
relative changes in the extracted yields are added in quadrature.
D∗∗ℓν branching fraction:
The systematic errors due to uncertainties in the ¯¯¯¯B→D∗∗ℓ+ν component is estimated by varying the branching fraction for
each D∗∗ component by ±1σ based on the Belle results in
Livent ().
The relative change in the extracted yields is assigned as the systematic
error.
D↔D∗ cross-feed:
In our nominal fitting procedure, the rates of the cross-feed between D
and D∗ decays are fixed to the values in the MC simulation, for
both the signal and normalization decays.
The uncertainty is estimated by taking the relative change in the
extracted yield for the normalization decays, when the cross-feed
component is floated in the fit.
τ→ℓνν branching fraction:
The systematic error due to uncertainties in the branching fraction of
τ decay modes is evaluated by changing the branching fractions
by the uncertainties in the PDG values PDG2006 ().
The total systematic error is the quadratic sum of all individual ones.
Source
¯¯¯¯¯D0τ+ν[%]
¯¯¯¯¯D∗0τ+ν[%]
D−τ+ν[%]
D∗−τ+ν[%]
M2miss shape
+9.10/-7.89
+9.86/-10.7
+6.39/-5.78
+5.80/-6.12
EECLextra shape
+10.6/-7.58
+7.01/-9.73
+9.03/-7.27
+9.84/-4.97
D∗∗ℓν
+0.35/-0.41
+0.75/-0.02
+4.50/-2.56
+0.58/-0.28
D↔D∗ cross-feed
+7.05/-6.86
+5.12/-5.34
+5.77/-6.01
+3.48/-3.37
B(τ→ℓνν)
±0.3
±0.3
±0.3
±0.3
Total
+15.7/-12.9
+13.2/-15.4
+13.3/-11.4
+12.0/-8.58
Table 5: Summary of the systematic errors.
With the systematic errors shown in Table 5, the final
results for the four ratios are,
R(¯¯¯¯¯D0)
=
0.70+0.19−0.18+0.11−0.09
(9)
R(¯¯¯¯¯D∗0)
=
0.47+0.11−0.10+0.06−0.07
(10)
R(D−)
=
0.48+0.22−0.19+0.06−0.05
(11)
R(D∗−)
=
0.48+0.14−0.12+0.06−0.04,
(12)
where the first error is the statistical and the second error is the
systematic.
Including the systematic uncertainties for the yields convolved in the
likelihood (Figure 5), the significances of the excesses
(in units of sigma) are found to be
3.8,3.9,2.6 and 4.7 for
B→¯¯¯¯¯D0τ+ν, ¯¯¯¯¯D∗0τ+ν,
D−τ+ν and D∗−τ+ν, respectively.