8,950 research outputs found
Scalar Dark Matter in light of LEP and ILC Experiments
In this work we study a scalar field dark matter model with mass of the order
of 100 MeV. We assume dark matter is produced in the process , that, in fact, could be a background for the standard process
extensively studied at LEP. We constrain the
chiral couplings, and , of the dark matter with electrons through an
intermediate fermion of mass GeV and obtain and
for the best fit point of our analysis. We also
analyze the potential of ILC to detect this scalar dark matter for two
configurations: (i) center of mass energy GeV and luminosity
fb, and (ii) center of mass energy TeV
and luminosity fb. The differences of polarized beams
are also explored to better study the chiral couplings.Comment: 15 pages, 6 figures and 1 table. New references added and
improvements in the text. Conclusions unchange
Sterile neutrinos, dark matter, and resonant effects in ultra high energy regimes
Interest in light dark matter candidates has recently increased in the
literature; some of these works consider the role of additional neutrinos,
either active or sterile. Furthermore, extragalactic neutrinos have been
detected with energies higher than have ever been reported before. This opens a
new window of opportunities to the study of neutrino properties that were
unreachable up to now. We investigate how an interaction potential between
neutrinos and dark matter might induce a resonant enhancement in the
oscillation probability, an effect that may be tested with future neutrino
data.Comment: 11 pages, 2 figures, to be published in PL
Generation and detection of bound entanglement
We propose a method for the experimental generation of two different families
of bound entangled states of three qubits. Our method is based on the explicit
construction of a quantum network that produces a purification of the desired
state. We also suggest a route for the experimental detection of bound
entanglement, by employing a witness operator plus a test of the positivity of
the partial transposes
A Bayesian estimate of the CMB-large-scale structure cross-correlation
Evidences for late-time acceleration of the Universe are provided by multiple
probes, such as Type Ia supernovae, the cosmic microwave background (CMB) and
large-scale structure (LSS). In this work, we focus on the integrated
Sachs--Wolfe (ISW) effect, i.e., secondary CMB fluctuations generated by
evolving gravitational potentials due to the transition between, e.g., the
matter and dark energy (DE) dominated phases. Therefore, assuming a flat
universe, DE properties can be inferred from ISW detections. We present a
Bayesian approach to compute the CMB--LSS cross-correlation signal. The method
is based on the estimate of the likelihood for measuring a combined set
consisting of a CMB temperature and a galaxy contrast maps, provided that we
have some information on the statistical properties of the fluctuations
affecting these maps. The likelihood is estimated by a sampling algorithm,
therefore avoiding the computationally demanding techniques of direct
evaluation in either pixel or harmonic space. As local tracers of the matter
distribution at large scales, we used the Two Micron All Sky Survey (2MASS)
galaxy catalog and, for the CMB temperature fluctuations, the ninth-year data
release of the Wilkinson Microwave Anisotropy Probe (WMAP9). The results show a
dominance of cosmic variance over the weak recovered signal, due mainly to the
shallowness of the catalog used, with systematics associated with the sampling
algorithm playing a secondary role as sources of uncertainty. When combined
with other complementary probes, the method presented in this paper is expected
to be a useful tool to late-time acceleration studies in cosmology.Comment: 21 pages, 15 figures, 4 tables. We extended the previous analyses
including WMAP9 Q, V and W channels, besides the ILC map. Updated to match
accepted ApJ versio
Output functions and fractal dimensions in dynamical systems
We present a novel method for the calculation of the fractal dimension of
boundaries in dynamical systems, which is in many cases many orders of
magnitude more efficient than the uncertainty method. We call it the Output
Function Evaluation (OFE) method. The OFE method is based on an efficient
scheme for computing output functions, such as the escape time, on a
one-dimensional portion of the phase space. We show analytically that the OFE
method is much more efficient than the uncertainty method for boundaries with
, where is the dimension of the intersection of the boundary with a
one-dimensional manifold. We apply the OFE method to a scattering system, and
compare it to the uncertainty method. We use the OFE method to study the
behavior of the fractal dimension as the system's dynamics undergoes a
topological transition.Comment: Uses REVTEX; to be published in Phys. Rev. Let
Sustainable forest management of miombo woodlands in Niassa National Reserve, northern Mozambique: a multidisciplinary approach of fire resistance analysis.
Poster presented at XIII World Forestry Congress. Buenos Aires (Argentina). 18 - 23 Oct 2009
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