367 research outputs found
SU(4) flavor symmetry breaking in D-meson couplings to light hadrons
The validity of SU(4)-flavor symmetry relations of couplings of charmed
mesons to light mesons and baryons is examined with the use of
quark-pair creation model and nonrelativistic quark model wave functions. We
focus on the three-meson couplings , and and
baryon-baryon-meson couplings , and . It is
found that SU(4)-flavor symmetry is broken at the level of 30% in the
tree-meson couplings and 20% in the baryon-baryon-meson couplings. Consequences
of these findings for DN cross sections and existence of bound states D-mesons
in nuclei are discussed.Comment: 5 pages, 3 figure
Relativistic model for the nonmesonic weak decay of single-lambda hypernuclei
Having in mind its future extension for theoretical investigations related to
charmed nuclei, we develop a relativistic formalism for the nonmesonic weak
decay of single- hypernuclei in the framework of the
independent-particle shell model and with the dynamics represented by the
one-meson-exchange model. Numerical results for the
one-nucleon-induced transition rates of are
presented and compared with those obtained in the analogous nonrelativistic
calculation. There is satisfactory agreement between the two approaches, and
the most noteworthy difference is that the ratio is
appreciably higher and closer to the experimental value in the relativistic
calculation. Large discrepancies between ours and previous relativistic
calculations are found, for which we do not encounter any fully satisfactory
explanation. The most recent experimental data is well reproduced by our
results. In summary, we have achieved our purpose to develop a reliable model
for the relativistic calculation of the nonmesonic weak decay of
-hypernuclei, which can now be extended to evaluate similar processes
in charmed nuclei
A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
This article addresses the problem of two- and higher dimensional pattern
matching, i.e. the identification of instances of a template within a larger
signal space, which is a form of registration. Unlike traditional correlation,
we aim at obtaining more selective matchings by considering more strict
comparisons of gray-level intensity. In order to achieve fast matching, a
nonlinear thresholded version of the fast Fourier transform is applied to a
gray-level decomposition of the original 2D image. The potential of the method
is substantiated with respect to real data involving the selective
identification of neuronal cell bodies in gray-level images.Comment: 4 pages, 3 figure
Learning about knowledge: A complex network approach
This article describes an approach to modeling knowledge acquisition in terms
of walks along complex networks. Each subset of knowledge is represented as a
node, and relations between such knowledge are expressed as edges. Two types of
edges are considered, corresponding to free and conditional transitions. The
latter case implies that a node can only be reached after visiting previously a
set of nodes (the required conditions). The process of knowledge acquisition
can then be simulated by considering the number of nodes visited as a single
agent moves along the network, starting from its lowest layer. It is shown that
hierarchical networks, i.e. networks composed of successive interconnected
layers, arise naturally as a consequence of compositions of the prerequisite
relationships between the nodes. In order to avoid deadlocks, i.e. unreachable
nodes, the subnetwork in each layer is assumed to be a connected component.
Several configurations of such hierarchical knowledge networks are simulated
and the performance of the moving agent quantified in terms of the percentage
of visited nodes after each movement. The Barab\'asi-Albert and random models
are considered for the layer and interconnecting subnetworks. Although all
subnetworks in each realization have the same number of nodes, several
interconnectivities, defined by the average node degree of the interconnection
networks, have been considered. Two visiting strategies are investigated:
random choice among the existing edges and preferential choice to so far
untracked edges. A series of interesting results are obtained, including the
identification of a series of plateaux of knowledge stagnation in the case of
the preferential movements strategy in presence of conditional edges.Comment: 18 pages, 19 figure
DbarN interaction in a color-confining chiral quark model
We investigate the low-energy elastic DbarN interaction using a quark model
that confines color and realizes dynamical chiral symmetry breaking. The model
is defined by a microscopic Hamiltonian inspired in the QCD Hamiltonian in
Coulomb gauge. Constituent quark masses are obtained by solving a gap equation
and baryon and meson bound-state wave functions are obtained using a
variational method. We derive a low energy meson-nucleon potential from a
quark-interchange mechanism whose ingredients are the quark-quark and
quark-antiquark interactions and baryon and meson wave functions, all derived
from the same microscopic Hamiltonian. The model is supplemented with
(sigma,rho,omega,a0) single-meson exchanges to describe the long-range part of
the interaction. Cross-sections and phase shifts are obtained by iterating the
quark-interchange plus meson-exchange potentials in a Lippmann-Schwinger
equation. Once model parameters in meson exchange potential are fixed to
describe the low-energy experimental phase shifts of the K+N and K0N reactions,
predictions for Dbar0N and D-N reactions are obtained without introducing new
parameters.Comment: 13 latex pages, 7 figure
What are the Best Hierarchical Descriptors for Complex Networks?
This work reviews several hierarchical measurements of the topology of
complex networks and then applies feature selection concepts and methods in
order to quantify the relative importance of each measurement with respect to
the discrimination between four representative theoretical network models,
namely Erd\"{o}s-R\'enyi, Barab\'asi-Albert, Watts-Strogatz as well as a
geographical type of network. The obtained results confirmed that the four
models can be well-separated by using a combination of measurements. In
addition, the relative contribution of each considered feature for the overall
discrimination of the models was quantified in terms of the respective weights
in the canonical projection into two dimensions, with the traditional
clustering coefficient, hierarchical clustering coefficient and neighborhood
clustering coefficient resulting particularly effective. Interestingly, the
average shortest path length and hierarchical node degrees contributed little
for the separation of the four network models.Comment: 9 pages, 4 figure
Relativistic model for the nonmesonic weak decay of single-lambda hypernuclei
Having in mind its future extension for theoretical investigations related to charmed nuclei, we develop a relativistic formalism for the nonmesonic weak decay of single-Λ hypernuclei in the framework of the independent-particle shell model and with the dynamics represented by the (π, K) one-meson-exchange model. Numerical results for the one-nucleon-induced transition rates of Λ¹²C are presented and compared with those obtained in the analogous nonrelativistic calculation. There is satisfactory agreement between the two approaches, and the most noteworthy difference is that the ratio Γn/Γp is appreciably higher and closer to the experimental value in the relativistic calculation. Large discrepancies between ours and previous relativistic calculations are found, for which we do not encounter any fully satisfactory explanation. The most recent experimental data is well reproduced by our results. In summary, we have achieved our purpose to develop a reliable model for the relativistic calculation of the nonmesonic weak decay of Λ-hypernuclei, which can now be extended to evaluate similar processes in charmed nuclei.Facultad de Ciencias ExactasInstituto de Física La Plat
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