161 research outputs found
Adsorbate surface diffusion: The role of incoherent tunneling in light particle motion
The role of incoherent tunneling in the diffusion of light atoms on surfaces
is investigated. With this purpose, a Chudley-Elliot master equation
constrained to nearest neighbors is considered within the Grabert-Weiss
approach to quantum diffusion in periodic lattices. This model is applied to
recent measurements of atomic H and D on Pt(111), rendering friction
coefficients that are in the range of those available in the literature for
other species of adsorbates. A simple extension of the model has also been
considered to evaluate the relationship between coverage and tunneling, and
therefore the feasibility of the approach. An increase of the tunneling rate
has been observed as the surface coverage decreases.Comment: 7 pages, 2 figures; important reorganization of the work (including
title changes
Phonon lineshapes in atom-surface scattering
Phonon lineshapes in atom-surface scattering are obtained from a simple
stochastic model based on the so-called Caldeira-Leggett Hamiltonian. In this
single-bath model, the excited phonon resulting from a creation or annihilation
event is coupled to a thermal bath consisting of an infinite number of harmonic
oscillators, namely the bath phonons. The diagonalization of the corresponding
Hamiltonian leads to a renormalization of the phonon frequencies in terms of
the phonon friction or damping coefficient. Moreover, when there are adsorbates
on the surface, this single-bath model can be extended to a two-bath model
accounting for the effect induced by the adsorbates on the phonon lineshapes as
well as their corresponding lineshapes.Comment: 14 pages, 2 figure
Stochastic theory of lineshape broadening in quasielastic He atom scattering with interacting adsorbates
The activated surface diffusion of interacting adsorbates is described in
terms of the so-called interacting single adsorbate approximation, which is
applied to the diffusion of Na atoms on Cu(001) for coverages up to 20% in
quasielastic He atom scattering experiments. This approximation essentially
consists of solving the standard Langevin equation with two noise sources and
frictions: a Gaussian white noise accounting for the friction with the
substrate, and a white shot noise characterized by a collisional friction
simulating the adsorbate-adsorbate collisions. The broadenings undergone by the
quasielastic peak are found to be in very good agreement with the experimental
data reported at two surface temperatures 200 and 300 K.Comment: 6 pages, 3 figure
Determinação de Rating de Crédito de Unidades de Negócios Visando Estimar o Custo de Capital de Terceiros
Linear response theory of activated surface diffusion with interacting adsorbates
Activated surface diffusion with interacting adsorbates is analyzed within
the Linear Response Theory framework. The so-called interacting single
adsorbate model is justified by means of a two-bath model, where one harmonic
bath takes into account the interaction with the surface phonons, while the
other one describes the surface coverage, this leading to defining a
collisional friction. Here, the corresponding theory is applied to simple
systems, such as diffusion on flat surfaces and the frustrated translational
motion in a harmonic potential. Classical and quantum closed formulas are
obtained. Furthermore, a more realistic problem, such as atomic Na diffusion on
the corrugated Cu(001) surface, is presented and discussed within the classical
context as well as within the framework of Kramer's theory. Quantum corrections
to the classical results are also analyzed and discussed.Comment: 40 pages, 4 figure
Implementation aspects of list sphere decoder algorithms for MIMO-OFDM systems
A list sphere decoder (LSD) can be used to approximate the optimal maximum a posteriori (MAP) detector for the detection of multiple-input multiple-output (MIMO) signals. In this paper, we consider two LSD algorithms with different search methods and study some algorithm design choices which relate to the performance and computational complexity of the algorithm. We show that by limiting the dynamic range of log-likelihood ratio, the required LSD list size can be lowered, and, thus, the complexity of the LSD algorithm is decreased. We compare the real and the complex-valued signal models and their impact on the complexity of the algorithms. We show that the real-valued signal model is clearly the less complex choice and a better alternative for implementation. We also show the complexity of the sequential search LSD algorithm can be reduced by limiting the maximum number of checked nodes without sacrificing the performance of the system. Finally, we study the complexity and performance of an iterative receiver, analyze the tradeoff choices between complexity and performance, and show that the additional computational cost in LSD is justified to get better soft-output approximation.TekesFinnish Funding Agency for Technology and InnovationNokiaNokia Siemens Networks (NSN)ElekrobitUninor
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