1,390 research outputs found
Optimal rates of convergence for covariance matrix estimation
Covariance matrix plays a central role in multivariate statistical analysis.
Significant advances have been made recently on developing both theory and
methodology for estimating large covariance matrices. However, a minimax theory
has yet been developed. In this paper we establish the optimal rates of
convergence for estimating the covariance matrix under both the operator norm
and Frobenius norm. It is shown that optimal procedures under the two norms are
different and consequently matrix estimation under the operator norm is
fundamentally different from vector estimation. The minimax upper bound is
obtained by constructing a special class of tapering estimators and by studying
their risk properties. A key step in obtaining the optimal rate of convergence
is the derivation of the minimax lower bound. The technical analysis requires
new ideas that are quite different from those used in the more conventional
function/sequence estimation problems.Comment: Published in at http://dx.doi.org/10.1214/09-AOS752 the Annals of
Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical
Statistics (http://www.imstat.org
Branching Ratios, Forward-backward Asymmetry and Angular Distributions of Decays
Using the form factors evaluated in the perturbative QCD approach,
we study semileptonic and decays,
where and are mixtures of and which
are and states, respectively. Using the technique of helicity
amplitudes, we express the decay amplitudes in terms of several independent and
Lorentz invariant pieces. We study the dilepton invariant mass distributions,
branching ratios, polarizations and forward-backward asymmetries of decays. The ambiguity in the sign of the mixing angle will induce
much large differences to branching ratios of semileptonic B decays: branching
ratios without resonant contributions either have the order of or
. But the polarizations and the forward-backward asymmetries are not
sensitive to the mixing angles. We find that the resonant contributions will
dramatically change the dilepton invariant mass distributions in the resonant
region. We also provide the angular distributions of decays.Comment: 14 pages, 6 figures, version appears in PR
Observation of Landau level-like quantizations at 77 K along a strained-induced graphene ridge
Recent studies show that the electronic structures of graphene can be
modified by strain and it was predicted that strain in graphene can induce
peaks in the local density of states (LDOS) mimicking Landau levels (LLs)
generated in the presence of a large magnetic field. Here we report scanning
tunnelling spectroscopy (STS) observation of nine strain-induced peaks in LDOS
at 77 K along a graphene ridge created when the graphene layer was cleaved from
a sample of highly oriented pyrolytic graphite (HOPG). The energies of these
peaks follow the progression of LLs of massless 'Dirac fermions' (DFs) in a
magnetic field of 230 T. The results presented here suggest a possible route to
realize zero-field quantum Hall-like effects at 77 K
What can we learn from decays?
We investigate the decays under the
factorization scheme and find many discrepancies between theoretical
predictions and the experimental data. In the tree dominated processes, large
contributions from color-suppressed tree diagrams are required in order to
accommodate with the large decay rates of and . For decays which are both induced
by transition, theoretical predictions on their decay rates are larger
than the data by a factor of 2.8 and 5.5, respectively. Large electro-weak
penguins or some new mechanism are expected to explain the branching ratios of
and . The
soft-collinear-effective-theory has the potential to explain large decay rates
of and via a large hard-scattering form
factor . We will also show that, with proper charming
penguins, predictions on the branching ratios of can also be consistent with the data.Comment: 16 pages, no figur
Suppressing disease spreading by using information diffusion on multiplex networks
Although there is always an interplay between the dynamics of information
diffusion and disease spreading, the empirical research on the systemic
coevolution mechanisms connecting these two spreading dynamics is still
lacking. Here we investigate the coevolution mechanisms and dynamics between
information and disease spreading by utilizing real data and a proposed
spreading model on multiplex network. Our empirical analysis finds asymmetrical
interactions between the information and disease spreading dynamics. Our
results obtained from both the theoretical framework and extensive stochastic
numerical simulations suggest that an information outbreak can be triggered in
a communication network by its own spreading dynamics or by a disease outbreak
on a contact network, but that the disease threshold is not affected by
information spreading. Our key finding is that there is an optimal information
transmission rate that markedly suppresses the disease spreading. We find that
the time evolution of the dynamics in the proposed model qualitatively agrees
with the real-world spreading processes at the optimal information transmission
rate.Comment: 11 pages, 8 figure
Identifying rodent olfactory bulb structures with micro-DTI
Conference Theme: Personalized Healthcare Through TechnologyOlfactory bulb (OB) is one of the most developed systems in rodent models with complex neuronal organization and anatomical structures. MR diffusion tensor imaging (DTI) is a non-invasive technique to probe tissue microstructures by examining the diffusion characteristics of water molecules. This paper presents how different OB layers can be identified and quantitatively characterized by micro-DTI using a specially constructed micro-imaging radio frequency (RF) coil. High spatial resolution and high signal to noise ratio (SNR) DTI images of ex vivo rat OBs were obtained. Distinct contrasts were observed between various olfactory bulb layers in trace map, fractional anisotropy (FA) map and FA color map, all in consistence with the known OB neuroanatomy. These experimental results demonstrate the utility of micro-DTI in investigation of complex OB organization. Β© 2008 IEEE.published_or_final_versio
The , , and decays in the perturbative QCD approach
Two-body non-leptonic charmed decays , ,
and are analyzed in perturbative QCD approach, where
and denote the light pseudoscalar meson and vector meson, respectively.
We test the meson wave function by a fit with experimental data of
six channels. We give the branching ratios of all the charmed B decay
channels, most of which agree with experiments amazingly well. The predicted
decays can be confronted with the future experimental data. By
straightforward calculations, our pQCD approach gives the right relative strong
phase of with experiments. We also predict the percentage of
transverse polarizations in decay channels.Comment: 25 pages, 4 figure
The effect of different baryons impurities
We demonstrate the different effect of different baryons impurities on the
static properties of nuclei within the framework of the relativistic mean-field
model. Systematic calculations show that and has the
same attracting role as hyperon does in lighter hypernuclei.
and hyperon has the attracting role only for the protons
distribution, and has a repulsive role for the neutrons distribution. On the
contrary, and hyperon attracts surrounding neutrons and
reveals a repulsive force to the protons. We find that the different effect of
different baryons impurities on the nuclear core is due to the different third
component of their isospin.Comment: 9 page
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