917 research outputs found

    Electrons on a sphere in disorder potential

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    We investigate, both analytically and numerically, the behavior of the electron gas on a sphere in the presence of point-like impurities. We find a criterion when the disorder can be regarded as small one and the main effect is the broadening of rotational multiplets. In the latter regime the statistics of one impurity-induced band is studied numerically. The energy level spacing distribution function follows the law P(s) ~ s exp(-a s^b) with 1<b<2. The number variance shows various possibilities, strongly dependent on the chosen model of disorder.Comment: 11 pages, REVTEX, 9 eps figures; references added to Sec.

    The Development Of Wave Power: A Techno-Economic Study

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    A study of the development of wave power was undertaken by the National Engineering Laboratory for the Department of Energy and was presented in a two-part report (Summary and Full Report) dated February 1975. Because of the interest generated in the development of wave power it was decided to make the NEL contribution generally available in this report which presents in one document the bulk of the material in the two-part report. The text has not been revised to take account of developments which have taken place since February 1975 and it should be emphasised that this report represents the status and NEL's thinking on wave power at that time. Some footnotes have been added to indicate where new information is in conflict with that in the report. No attempt has been made to take account of all new information in this way

    Large scale prop-fan structural design study. Volume 1: Initial concepts

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    In recent years, considerable attention has been directed toward improving aircraft fuel consumption. Studies have shown that the inherent efficiency advantage that turboprop propulsion systems have demonstrated at lower cruise speeds may now be extended to the higher speeds of today's turbofan and turbojet-powered aircraft. To achieve this goal, new propeller designs will require features such as thin, high speed airfoils and aerodynamic sweep, features currently found only in wing designs for high speed aircraft. This is Volume 1 of a 2 volume study to establish structural concepts for such advanced propeller blades, to define their structural properties, to identify any new design, analysis, or fabrication techniques which were required, and to determine the structural tradeoffs involved with several blade shapes selected primarily on the basis of aero/acoustic design considerations. The feasibility of fabricating and testing dynamically scaled models of these blades for aeroelastic testing was also established. The preliminary design of a blade suitable for flight use in a testbed advanced turboprop was conducted and is described in Volume 2

    Topological energy barrier for skyrmion lattice formation in MnSi

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    We report the direct measurement of the topological skyrmion energy barrier through a hysteresis of the skyrmion lattice in the chiral magnet MnSi. Measurements were made using small-angle neutron scattering with a custom-built resistive coil to allow for high-precision minor hysteresis loops. The experimental data was analyzed using an adapted Preisach model to quantify the energy barrier for skyrmion formation and corroborated by the minimum-energy path analysis based on atomistic spin simulations. We reveal that the skyrmion lattice in MnSi forms from the conical phase progressively in small domains, each of which consisting of hundreds of skyrmions, and with an activation barrier of several eV.Comment: Final accepted versio

    Structural Transition Kinetics and Activated Behavior in the Superconducting Vortex Lattice

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    Using small-angle neutron scattering, we investigated the behavior of a metastable vortex lattice state in MgB2 as it is driven towards equilibrium by an AC magnetic field. This shows an activated behavior, where the AC field amplitude and cycle count are equivalent to, respectively, an effective "temperature" and "time". The activation barrier increases as the metastable state is suppressed, corresponding to an aging of the vortex lattice. Furthermore, we find a cross-over from a partial to a complete suppression of metastable domains depending on the AC field amplitude, which may empirically be described by a single free parameter. This represents a novel kind of collective vortex behavior, most likely governed by the nucleation and growth of equilibrium vortex lattice domains.Comment: 5 pages plus 3 pages of supplemental materia

    Understorey birds of Cikaniki Research Station, Gunung Halimun-Salak National Park, West Java: Report of the Indonesian Bird Banding Scheme Training Programme

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    This report summarises findings from the first Training of Trainers (ToT) programme of the Indonesian Bird Banding Scheme (IBBS), which took place at Cikaniki Research Station (1000- 1100 m asl), Gunung Halimun-Salak National Park, during July 2009, and compares them with the results of previous banding studies conducted at the site by PPB-LIPI staff since 1996. Over the seven days from 13 to 19 July 2009, a total of 97 individuals representing 29 species were captured, and in most cases, banded. Juvenile birds belonging to 13 species comprised 28% of all individuals captured, and early primary moult was found on 32% of adults captured, suggesting that many species had recently completed breeding. The two most frequently captured species were the Little Spiderhunter Arachnothera longirostra and the Javan Fulvetta Alcippe pyrrhoptera. A comparison with previous banding studies between 1996 and 2002 at the same site shows that the latter species was repeatedly misidentified as the Fulvous-chested Jungle Flycatcher Rhinomyias olivacea, a species otherwise unknown for the park. This finding negates the conclusions of previous reports that R. olivacea is an important&nbsp; component of the understorey avifauna of the park at this altitude. Nine individuals, representing six species, were recaptured during the IBBS programme, including a Sunda Forktail Enicurus velatus that was at least 9 years old when re-trapped, and a Horsfield&rsquo;s Babbler Malacocincla sepiaria that was at least 8.75 years old

    Enabling Robust State Estimation through Measurement Error Covariance Adaptation

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    Accurate platform localization is an integral component of most robotic systems. As these robotic systems become more ubiquitous, it is necessary to develop robust state estimation algorithms that are able to withstand novel and non-cooperative environments. When dealing with novel and non-cooperative environments, little is known a priori about the measurement error uncertainty, thus, there is a requirement that the uncertainty models of the localization algorithm be adaptive. Within this paper, we propose the batch covariance estimation technique, which enables robust state estimation through the iterative adaptation of the measurement uncertainty model. The adaptation of the measurement uncertainty model is granted through non-parametric clustering of the residuals, which enables the characterization of the measurement uncertainty via a Gaussian mixture model. The provided Gaussian mixture model can be utilized within any non-linear least squares optimization algorithm by approximately characterizing each observation with the sufficient statistics of the assigned cluster (i.e., each observation's uncertainty model is updated based upon the assignment provided by the non-parametric clustering algorithm). The proposed algorithm is verified on several GNSS collected data sets, where it is shown that the proposed technique exhibits some advantages when compared to other robust estimation techniques when confronted with degraded data quality.Comment: 14 pages, 13 figures, Submitted to IEEE Transactions on Aerospace And Electronic System

    Robust Incremental State Estimation through Covariance Adaptation

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    Recent advances in the fields of robotics and automation have spurred significant interest in robust state estimation. To enable robust state estimation, several methodologies have been proposed. One such technique, which has shown promising performance, is the concept of iteratively estimating a Gaussian Mixture Model (GMM), based upon the state estimation residuals, to characterize the measurement uncertainty model. Through this iterative process, the measurement uncertainty model is more accurately characterized, which enables robust state estimation through the appropriate de-weighting of erroneous observations. This approach, however, has traditionally required a batch estimation framework to enable the estimation of the measurement uncertainty model, which is not advantageous to robotic applications. In this paper, we propose an efficient, incremental extension to the measurement uncertainty model estimation paradigm. The incremental covariance estimation (ICE) approach, as detailed within this paper, is evaluated on several collected data sets, where it is shown to provide a significant increase in localization accuracy when compared to other state-of-the-art robust, incremental estimation algorithms.Comment: 8 pages, 4 figures, 2 tables, submitted to IEEE Robotics and Automation Letter
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