4,693 research outputs found

    Refracting profiles and generalized holodiagrams

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    The recently developed concept of refracting profiles and that of refraction holodiagrams are combined so that the classical Abramson holodiagrams can be generalized taking into account a wider class of wave fronts and refraction at an interface, whenever regions of caustics are avoided. These holodiagrams are obtained as envelopes of specific families of Cartesian Ovals with an appropriate parametrization. Classical and reflecting holodiagrams are particular cases of this class. Several of the properties of the classical holodiagrams are shared by their richer generalized versionsComment: 12 pages, 7 figure

    Further studies of liquid sloshing in rocket propellant tanks Final report, 25 Mar. 1961 - 31 Dec. 1965

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    Liquid sloshing and dynamics in rocket propellant tanks annotated bibliography with abstract

    Globally coupled maps with asynchronous updating

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    We analyze a system of globally coupled logistic maps with asynchronous updating. We show that its dynamics differs considerably from that of the synchronous case. For growing values of the coupling intensity, an inverse bifurcation cascade replaces the structure of clusters and ordering in the phase diagram. We present numerical simulations and an analytical description based on an effective single-element dynamics affected by internal fluctuations. Both of them show how global coupling is able to suppress the complexity of the single-element evolution. We find that, in contrast to systems with synchronous update, internal fluctuations satisfy the law of large numbers.Comment: 7 pages, submitted to PR

    Imitation dynamics in a game of traffic

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    We study a model of traffic where drivers adopt different behavioral strategies. These can be cooperative or defective according to a driver abiding or not by a traffic rule. Drivers can change their strategy by imitating the majority, with a rule that depends on the strategies with which they have interacted. These interactions occur at intersections, where vehicles pay a temporal cost according to their strategy. We analyze the conditions under which different strategy compositions represent an advantage in the system velocity. We found that the cooperators' mean speed is higher than the defectors' even when the vehicle density is large. However, defectors can obtain benefits in their mean speed when they are a minority in an essentially cooperative population. The presence of a core of educated drivers, who persist firmly in a cooperative behavior, optimizes the speed in the system, especially for intermediate values of vehicular density and higher temporal costs

    Ion mass spectrometer for special uses

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    Prototype of curved-electrode, Paul-type, quadrupole, electrodynamic mass filter has the mass-resolution and transmission-factor properties expected from both theoretical considerations and results of experiments using linear quadrupole features

    Development of an engineering prototype ion mass spectrometer for the mass analysis of the lunar atmosphere Final report

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    Engineering prototype ion mass spectrometer for mass analysis of lunar atmospher

    MEASUREMENTS OF LIQUID DAMPING PROVIDED BY RING BAFFLES IN CYLINDRICAL TANKS

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    Damping effect of flat ring baffles on liquid sloshing in partially filled cylindrical tank

    Longitudinal vibration of ring stiffened cylindrical shells containing liquids Technical report no. 7

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    Longitudinal vibration of ring stiffened cylindrical shells containing liquids for application to liquid fueled space vehicle booster

    Synchronization learning of coupled chaotic maps

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    We study the dynamics of an ensemble of globally coupled chaotic logistic maps under the action of a learning algorithm aimed at driving the system from incoherent collective evolution to a state of spontaneous full synchronization. Numerical calculations reveal a sharp transition between regimes of unsuccessful and successful learning as the algorithm stiffness grows. In the regime of successful learning, an optimal value of the stiffness is found for which the learning time is minimal
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