256 research outputs found
Pair production of charged Higgs bosons in the Left-Right Twin Higgs model at the ILC and LHC
Left-Right twin Higgs(LRTH) model predicts the existence of a pair of charged
Higgs . In this paper, we study the production of the charged Higgs
bosons pair via the process at
the International Linear Collider(ILC). The numerical results show that the
production rates are at the level of several tens fb, this process can produce
the adequate distinct multi-jet final states and the SM background can be
efficiently reduced. We also discuss the charged Higgs boson pair production
via the process at the Large Hadron
Collider(LHC) and estimate there production rates. We find that, as long as the
charged Higgs bosons are not too heavy, they can be abundantly produced at the
LHC. The possible signatures of these new particles might be detected at the
ILC and LHC experiments.Comment: 15 pages, 5 figures, discussion extended, reference added, typos
fixed, revised version to be published in Eur.Phys.J.
Unsupervised crosslingual adaptation of tokenisers for spoken language recognition
Phone tokenisers are used in spoken language recognition (SLR) to obtain elementary
phonetic information. We present a study on the use of deep neural
network tokenisers. Unsupervised crosslingual adaptation was performed to
adapt the baseline tokeniser trained on English conversational telephone speech
data to different languages. Two training and adaptation approaches, namely
cross-entropy adaptation and state-level minimum Bayes risk adaptation, were
tested in a bottleneck i-vector and a phonotactic SLR system. The SLR systems
using the tokenisers adapted to different languages were combined using score
fusion, giving 7-18% reduction in minimum detection cost function (minDCF)
compared with the baseline configurations without adapted tokenisers. Analysis
of results showed that the ensemble tokenisers gave diverse representation of
phonemes, thus bringing complementary effects when SLR systems with different
tokenisers were combined. SLR performance was also shown to be related
to the quality of the adapted tokenisers
Unsupervised crosslingual adaptation of tokenisers for spoken language recognition
Phone tokenisers are used in spoken language recognition (SLR) to obtain elementary
phonetic information. We present a study on the use of deep neural
network tokenisers. Unsupervised crosslingual adaptation was performed to
adapt the baseline tokeniser trained on English conversational telephone speech
data to different languages. Two training and adaptation approaches, namely
cross-entropy adaptation and state-level minimum Bayes risk adaptation, were
tested in a bottleneck i-vector and a phonotactic SLR system. The SLR systems
using the tokenisers adapted to different languages were combined using score
fusion, giving 7-18% reduction in minimum detection cost function (minDCF)
compared with the baseline configurations without adapted tokenisers. Analysis
of results showed that the ensemble tokenisers gave diverse representation of
phonemes, thus bringing complementary effects when SLR systems with different
tokenisers were combined. SLR performance was also shown to be related
to the quality of the adapted tokenisers
The transition form factors for semi-leptonic weak decays of in QCD sum rules
Within the Standard Model, we investigate the semi-leptonic weak decays of
. The various form factors of transiting to a single charmed
meson () are studied in the framework of the QCD sum rules.
These form factors fully determine the rates of the weak semi-leptonic decays
of and provide valuable information about the non-perturbative QCD
effects. Our results indicate that the decay rate of the semi-leptonic weak
decay mode is at order of .Comment: 28 pages, 6 figures, revised version to be published in Eur.Phys.J.
DRAMMS: deformable registration via attribute matching and mutual-saliency weighting
A general-purpose deformable registration algorithm referred to as ”DRAMMS” is presented in this paper. DRAMMS adds to the literature of registration methods that bridge between the traditional voxel-wise methods and landmark/feature-based methods. In particular, DRAMMS extracts Gabor attributes at each voxel and selects the optimal components, so that they form a highly distinctive morphological signature reflecting the anatomical context around each voxel in a multi-scale and multi-resolution fashion. Compared with intensity or mutual-information based methods, the high-dimensional optimal Gabor attributes render different anatomical regions relatively distinctively identifiable and therefore help establish more accurate and reliable correspondence. Moreover, the optimal Gabor attribute vector is constructed in a way that generalizes well, i.e., it can be applied to different registration tasks, regardless of the image contents under registration. A second characteristic of DRAMMS is that it is based on a cost function that weights different voxel pairs according to a metric referred to as ”mutual-saliency”, which reflects the uniqueness (reliability) of anatomical correspondences implied by the tentative transformation. As a result, image voxels do not contribute equally to the optimization process, as in most voxel-wise methods, or in a binary selection fashion, as in most landmark/feature-based methods. Instead, they contribute according to a continuously-valued mutual-saliency map, which is dynamically updated during the algorithm’s evolution. The general applicability and accuracy of DRAMMS are demonstrated by experiments in simulated images, inter-subject images, single-/multi-modality images, and longitudinal images, from human and mouse brains, breast, heart, and prostate
\psi(2S) Decays into \J plus Two Photons
Using \gamma \gamma J/\psi, J/\psi \ra e^+ e^- and events
from a sample of \psip decays collected with the BESII
detector, the branching fractions for \psip\ra \pi^0\J, \eta\J, and
\psi(2S)\ar\gamma\chi_{c1},\gamma\chi_{c2}\ar\gamma\gamma\jpsi are measured
to be B(\psip\ra \pi^0\J) = (1.43\pm0.14\pm0.13)\times 10^{-3}, B(\psip\ra
\eta\J) = (2.98\pm0.09\pm0.23)%,
B(\psi(2S)\ar\gamma\chi_{c1}\ar\gamma\gamma\jpsi) = (2.81\pm0.05\pm 0.23)%,
and B(\psi(2S)\ar\gamma\chi_{c2}\ar\gamma\gamma\jpsi) = (1.62\pm0.04\pm
0.12)%.Comment: 7 pages, 6 figures. submitted to Phys. Rev.
Longitudinal double-spin asymmetry and cross section for inclusive neutral pion production at midrapidity in polarized proton collisions at sqrt(s) = 200 GeV
We report a measurement of the longitudinal double-spin asymmetry A_LL and
the differential cross section for inclusive Pi0 production at midrapidity in
polarized proton collisions at sqrt(s) = 200 GeV. The cross section was
measured over a transverse momentum range of 1 < p_T < 17 GeV/c and found to be
in good agreement with a next-to-leading order perturbative QCD calculation.
The longitudinal double-spin asymmetry was measured in the range of 3.7 < p_T <
11 GeV/c and excludes a maximal positive gluon polarization in the proton. The
mean transverse momentum fraction of Pi0's in their parent jets was found to be
around 0.7 for electromagnetically triggered events.Comment: 6 pages, 3 figures, submitted to Phys. Rev. D (RC
Measurement of the parity-violating longitudinal single-spin asymmetry for boson production in polarized proton-proton collisions at GeV
We report the first measurement of the parity violating single-spin
asymmetries for midrapidity decay positrons and electrons from and
boson production in longitudinally polarized proton-proton collisions
at GeV by the STAR experiment at RHIC. The measured asymmetries,
and , are consistent with theory
predictions, which are large and of opposite sign. These predictions are based
on polarized quark and antiquark distribution functions constrained by
polarized DIS measurements.Comment: 6 pages, 4 figures, submitted to Physics Review Letter
Evolution of the differential transverse momentum correlation function with centrality in Au+Au collisions at GeV
We present first measurements of the evolution of the differential transverse
momentum correlation function, {\it C}, with collision centrality in Au+Au
interactions at GeV. {\it C} exhibits a strong dependence
on collision centrality that is qualitatively similar to that of number
correlations previously reported. We use the observed longitudinal broadening
of the near-side peak of {\it C} with increasing centrality to estimate the
ratio of the shear viscosity to entropy density, , of the matter formed
in central Au+Au interactions. We obtain an upper limit estimate of
that suggests that the produced medium has a small viscosity per unit entropy.Comment: 7 pages, 4 figures, STAR paper published in Phys. Lett.
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