15,172 research outputs found
Photoionization cross sections of rovibrational levels of the B^1ÎŁ^+_u state of H_2
We report theoretical cross sections for direct photoionization of specific rovibrational levels of the Bâ^1ÎŁ^+_u electronic state of H_2. The calculated cross sections differ considerably from values recently determined by resonant enhanced multiphoton ionization (REMPI) studies. In an attempt to understand the disagreement, we analyze in detail the REMPI dynamics and find that the multiphoton ionization probability is extremely sensitive to the spatial and temporal profiles of the laser pulses. Accurate characterization of laser profiles and their jitter is therefore necessary for a comparison between theory and experiment
(2+1) resonant enhanced multiphoton ionization of H_2 via the E, F^(1)ÎŁ^+_g state
In this paper, we report the results of ab initio calculations of photoelectron angular distributions and vibrational branching ratios for the (2+1) REMPI of H_2 via the E, F^(1)ÎŁ^+_g state, and compare these with the experimental data of Anderson et al. [Chem. Phys. Lett. 105, 22 (1984)]. These results show that the observed nonâFranckâCondon behavior is predominantly due to the R dependence of the transition matrix elements, and to a lesser degree to the energy dependence. This work presents the first molecular REMPI study employing a correlated wave function to describe the Rydbergâvalence mixing in the resonant intermediate state
Embedded Interval Type-2 Neuro-Fuzzy Speed Controller for Marine Diesel Engines
Marine diesel engines operate in highly dynamic and uncertain environments, hence they require robust and accurate speed controllers that can handle the uncertainties encountered in these environments. The current speed controllers for marine diesel engines are based on PID and type-1 Fuzzy Logic Controllers (FLCs) which cannot fully handle the uncertainties encountered in such environments. Type-2 FLCs can handle such uncertainties to produce a better control performance. However, manually designing a type-2 FLC is a difficult task. In this paper, we will introduce an embedded type-2 Neuro-Fuzzy Controller (T2NFC) which learns the parameters of interval type-2 FLC to control marine diesel engines. We have performed numerous experiments on a real diesel engine testing platform in which the T2NFC operated on an industrial embedded controller and handled the uncertainties to produce an accurate and robust speed controller that outperformed the currently used commercial engine controller, even though we have trained the T2NFC with data collected from the commercial controlle
Light transmission assisted by Brewster-Zennek modes in chromium films carrying a subwavelength hole array
This work confirms that not only surface plasmons but many other kinds of
electromagnetic eigenmodes should be considered in explaining the values of the
transmittivity through a slab bearing a two-dimensional periodic corrugation.
Specifically, the role of Brewster-Zennek modes appearing in metallic films
exhibiting regions of weak positive dielectric constant. It is proposed that
these modes play a significant role in the light transmission in a thin
chromium film perforated with normal cylindrical holes, for appropriate lattice
parameters.Comment: 5 pages, 4 figures. Published versio
Adaptive evolution of molecular phenotypes
Molecular phenotypes link genomic information with organismic functions,
fitness, and evolution. Quantitative traits are complex phenotypes that depend
on multiple genomic loci. In this paper, we study the adaptive evolution of a
quantitative trait under time-dependent selection, which arises from
environmental changes or through fitness interactions with other co-evolving
phenotypes. We analyze a model of trait evolution under mutations and genetic
drift in a single-peak fitness seascape. The fitness peak performs a
constrained random walk in the trait amplitude, which determines the
time-dependent trait optimum in a given population. We derive analytical
expressions for the distribution of the time-dependent trait divergence between
populations and of the trait diversity within populations. Based on this
solution, we develop a method to infer adaptive evolution of quantitative
traits. Specifically, we show that the ratio of the average trait divergence
and the diversity is a universal function of evolutionary time, which predicts
the stabilizing strength and the driving rate of the fitness seascape. From an
information-theoretic point of view, this function measures the
macro-evolutionary entropy in a population ensemble, which determines the
predictability of the evolutionary process. Our solution also quantifies two
key characteristics of adapting populations: the cumulative fitness flux, which
measures the total amount of adaptation, and the adaptive load, which is the
fitness cost due to a population's lag behind the fitness peak.Comment: Figures are not optimally displayed in Firefo
Empirical band calculations of the optical properties of d-band metals. VI. The optical conductivity of ferromagnetic iron
The optical conductivity of ferromagnetic Fe was calculated with an interpolation scheme fit to first-principles energy bands for paramagnetic Fe with a constant exchange splitting. Most of the contributions to the conductivity originate in the minority-spin bands, making the rigid splitting a valid assumption. The inclusion of electric-dipole matrix elements is essential for obtaining agreement with experiment. The locations of the transitions in the band structure were found by plotting contributions from differential volumes throughout the irreducible wedge of the Brillouin zone, including dipole matrix elements. The strong transitions around 2.5 eV occur between flat bands in large regions of the zone, regions not associated with symmetry points, lines, or planes. The transitions near 6 eV originate in a smaller volume of k space near a symmetry line, associated with an interband critical point
The collective quantization of three-flavored Skyrmions revisited
A self-consistent large approach is developed for the collective
quantization of SU(3) flavor hedgehog solitons, such as the Skyrmion. The key
to this analysis is the determination of all of the zero modes associated with
small fluctuations around the hedgehog. These are used in the conventional way
to construct collective coordinates. This approach differs from previous work
in that it does not implicitly assume that each static zero mode is associated
with a dynamical zero mode. It is demonstrated explicitly in the context of the
Skyrmion that there are fewer dynamical zero modes than static ones due to the
Witten-Wess-Zumino term in the action. Group-theoretic methods are employed to
identify the physical states resulting from canonical quantization of the
collectively rotating soliton. The collective states fall into representations
of SU(3) flavor labeled by and are given by
where is the spin of the collective state. States with
strangeness do not arise as collective states from this procedure; thus
the (pentaquark) resonance does not arise as a collective
excitation in models of this type.Comment: 12 pages; uses package "youngtab
The S2 VLBI Correlator: A Correlator for Space VLBI and Geodetic Signal Processing
We describe the design of a correlator system for ground and space-based
VLBI. The correlator contains unique signal processing functions: flexible LO
frequency switching for bandwidth synthesis; 1 ms dump intervals, multi-rate
digital signal-processing techniques to allow correlation of signals at
different sample rates; and a digital filter for very high resolution
cross-power spectra. It also includes autocorrelation, tone extraction, pulsar
gating, signal-statistics accumulation.Comment: 44 pages, 13 figure
Measurement of complex fragments and clues to the entropy production from 42-137-MeV/nucleon Ar + Au
Intermediate-rapidity fragments with A=1-14 emitted from 42-137-MeV/nucleon Ar + Au have been measured. Evidence is presented that these fragments arise from a common moving source. Entropy values are extracted from the mass distributions by use of quantum statistical and Hauser-Feshbach theories. The extracted entropy values of S/A≈2-2.4 are much smaller than the values expected from measured deuteron-to-proton ratios, but are still considerably higher than theoretically predicted values
Approximate Consensus in Highly Dynamic Networks: The Role of Averaging Algorithms
In this paper, we investigate the approximate consensus problem in highly
dynamic networks in which topology may change continually and unpredictably. We
prove that in both synchronous and partially synchronous systems, approximate
consensus is solvable if and only if the communication graph in each round has
a rooted spanning tree, i.e., there is a coordinator at each time. The striking
point in this result is that the coordinator is not required to be unique and
can change arbitrarily from round to round. Interestingly, the class of
averaging algorithms, which are memoryless and require no process identifiers,
entirely captures the solvability issue of approximate consensus in that the
problem is solvable if and only if it can be solved using any averaging
algorithm. Concerning the time complexity of averaging algorithms, we show that
approximate consensus can be achieved with precision of in a
coordinated network model in synchronous
rounds, and in rounds when
the maximum round delay for a message to be delivered is . While in
general, an upper bound on the time complexity of averaging algorithms has to
be exponential, we investigate various network models in which this exponential
bound in the number of nodes reduces to a polynomial bound. We apply our
results to networked systems with a fixed topology and classical benign fault
models, and deduce both known and new results for approximate consensus in
these systems. In particular, we show that for solving approximate consensus, a
complete network can tolerate up to 2n-3 arbitrarily located link faults at
every round, in contrast with the impossibility result established by Santoro
and Widmayer (STACS '89) showing that exact consensus is not solvable with n-1
link faults per round originating from the same node
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