37,421 research outputs found
Geometry applications of irreducible representations of Lie Groups
In this note we give proofs of the following three algebraic facts which have applications in the theory of holonomy groups and homogeneous spaces: Any irreducibly acting connected subgroup G \subset Gl(n,\rr) is closed. Moreover, if admits an invariant bilinear form of Lorentzian signature, is maximal, i.e. it is conjugated to . We calculate the vector space of -invariant symmetric bilinear forms, show that it is at most -dimensional, and determine the maximal stabilizers for each dimension. Finally, we give some applications and present some open problem
On the Role of Charmed Meson Loops in Charmonium Decays
We investigate the effect of intermediate charmed meson loops on the M1
radiative decays and
as well as the isospin violating
hadronic decays using heavy hadron
chiral perturbation theory (HHPT). The calculations include tree level as
well as one loop diagrams and are compared to the latest data from CLEO and
BES-III. Our fit constrains the couplings of 1S and 2S charmonium multiplets to
charmed mesons, denoted and , respectively. We find that
there are two sets of solutions for and . One set, which
agrees with previous values of the product extracted from
analyses that consider only loop contributions to , can only fit data on radiative decays with fine-tuned
cancellations between tree level diagrams and loops in that process. The other
solution for and leads to couplings that are smaller by a
factor of 2.3. In this case tree level and loop contributions are of comparable
size and the numerical values of the tree level contributions to radiative
decays are consistent with estimates based on the quark model as well as
non-relativistic QCD (NRQCD). This result shows that tree level HHPT
couplings are as important as the one loop graphs with charmed mesons in these
charmonium decays. The couplings and are also important for
the calculations of the decays of charmed meson bound states, such as the
X(3872), to conventional charmonia.Comment: 16 pages, 3 figures, minor modifications, more references adde
Multilingual log analysis: LogCLEF
The current lack of recent and long-term query logs makes
the verifiability and repeatability of log analysis experiments very limited. A first attempt in this direction has been made within the Cross-Language Evaluation Forum in 2009 in a track named LogCLEF which aims to stimulate research on user behaviour in multilingual environments and promote standard evaluation collections of log data. We report on similarities and differences of the most recent activities for LogCLEF
Flexible metamaterials at visible wavelengths
We report on the fabrication and characterization of plasmonic structures on flexible substrates (Metaflex) and demonstrate the optical properties of a single layer of Metaflex. The layer exhibits a plasmonic resonance in the visible region around 620 nm. We show experimental and numerical results for both nano-antennas and fishnet geometries. We anticipate the use of Metaflex as a building block for flexible metamaterials in the visible range.Publisher PDFPeer reviewe
Estimating causal effects with matching methods in the presence and absence of bias cancellation
This paper explores the implications of possible bias cancellation using Rubin-style matching methods with complete and incomplete data. After reviewing the naïve causal estimator and the approaches of Heckman and Rubin to the causal estimation problem, we show how missing data can complicate the estimation of average causal effects in different ways, depending upon the nature of the missing mechanism. While - contrary to published assertions in the literature - bias cancellation does not generally occur when the multivariate distribution of the errors is symmetric, bias cancellation has been observed to occur for the case where selection into training is the treatment variable, and earnings is the outcome variable. A substantive rationale for bias cancellation is offered, which conceptualizes bias cancellation as the result of a mixture process based on two distinct individual-level decision-making models. While the general properties are unknown, the existence of bias cancellation appears to reduce the average bias in both OLS and matching methods relative to the symmetric distribution case. Analysis of simulated data under a set of difference scenarios suggests that matching methods do better than OLS in reducing that portion of bias that comes purely from the error distribution (i.e., from “selection on unobservables”). This advantage is often found also for the incomplete data case. Matching appears to offer no advantage over OLS in reducing the impact of bias due purely to selection on unobservable variables when the error variables are generated by standard multivariate normal distributions, which lack the bias-cancellation property. (AUTHORS)
LogCLEF: Enabling research on multilingual log files
Interactions between users and information access systems can be analyzed and studied to gather user preferences and to learn what a user likes the most, and to use this
information to adapt the search to users and personalize the presentation of results. The LogCLEF lab - ”A benchmarking activity on Multilingual Log File Analysis: Language
identification, query classification, success of a query” deals with information contained in query logs of search engines and digital libraries from which knowledge can be mined to understand search behavior in multilingual context. LogCLEF has created the first long-term standard collection for evaluation purposes in the area of log analysis. The LogCLEF 2011 lab is the continuation of the past two editions: as a pilot task in CLEF 2009, and a workshop in CLEF 2010. The Cross-Language Evaluation Forum (CLEF) promotes research and development in multilingual information access and is an activity of the PROMISE Network of Excellence
NetEvo: A computational framework for the evolution of dynamical complex networks
NetEvo is a computational framework designed to help understand the evolution
of dynamical complex networks. It provides flexible tools for the simulation of
dynamical processes on networks and methods for the evolution of underlying
topological structures. The concept of a supervisor is used to bring together
both these aspects in a coherent way. It is the job of the supervisor to rewire
the network topology and alter model parameters such that a user specified
performance measure is minimised. This performance measure can make use of
current topological information and simulated dynamical output from the system.
Such an abstraction provides a suitable basis in which to study many
outstanding questions related to complex system design and evolution
Adaptive Uzawa algorithm for the Stokes equation
Based on the Uzawa algorithm, we consider an adaptive finite element method
for the Stokes system. We prove linear convergence with optimal algebraic rates
for the residual estimator (which is equivalent to the total error), if the
arising linear systems are solved iteratively, e.g., by PCG. Our analysis
avoids the use of discrete efficiency of the estimator. Unlike prior work, our
adaptive Uzawa algorithm can thus avoid to discretize the given data and does
not rely on an interior node property for the refinement
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