15,841 research outputs found
Application of Current Algebra in Three Pseudoscalar Meson Decays of Lepton
The decays of and
are calculated using the hard pion and kaon current algebra and assuming the
Axial-Vector meson dominance of the hadronic axial currents. Using the
experimental data on their masses and widths, the decay branching ratios
into these channels are calculated and found to be in a reasonable agreement
with the experimental data. In particular, using the available Aleph data on
the spectrum, we determine the parameters, ,
GeV; the hard current algebra calculation yields a
branching ratio of .Comment: 14 pages, Tex, 6 included figure
Constraining Universal Extra Dimensions through B decays
We analyze the exclusive rare , and decays in the Applequist-Cheng-Dobrescu
model, an extension of the Standard Model in presence of universal extra
dimensions. In the case of a single universal extra dimension, we study the
dependence of several observables on the compactification parameter 1/R, and
discuss whether the hadronic uncertainty due to the form factors obscures or
not such a dependence. We find that, using present data, it is possible in many
cases to put a sensible lower bound to 1/R, the most stringent one coming from
.Comment: Invited talk at "Continuous Advances in QCD 2006", May 11-14 2006,
Minneapolis (Minnesota). LaTex, 7 pages, 8 Figure
Latin cubes of even order with forbidden entries
We consider the problem of constructing Latin cubes subject to the condition
that some symbols may not appear in certain cells. We prove that there is a
constant such that if and is a -dimensional array where every cell contains at most symbols, and
every symbol occurs at most times in every line of , then is
{\em avoidable}; that is, there is a Latin cube of order such that for
every , the symbol in position of does not
appear in the corresponding cell of .Comment: arXiv admin note: substantial text overlap with arXiv:1809.0239
K Means Segmentation of Alzheimers Disease in PET scan datasets: An implementation
The Positron Emission Tomography (PET) scan image requires expertise in the
segmentation where clustering algorithm plays an important role in the
automation process. The algorithm optimization is concluded based on the
performance, quality and number of clusters extracted. This paper is proposed
to study the commonly used K Means clustering algorithm and to discuss a brief
list of toolboxes for reproducing and extending works presented in medical
image analysis. This work is compiled using AForge .NET framework in windows
environment and MATrix LABoratory (MATLAB 7.0.1)Comment: International Joint Conference on Advances in Signal Processing and
Information Technology, SPIT201
- …