6,089 research outputs found

    Stability of Few-Charge Systems in Quantum Mechanics

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    We consider non-relativistic systems in quantum mechanics interacting through the Coulomb potential, and discuss the existence of bound states which are stable against spontaneous dissociation into smaller atoms or ions. We review the studies that have been made of specific mass configurations and also the properties of the domain of stability in the space of masses or inverse masses. These rigorous results are supplemented by numerical investigations using accurate variational methods. A section is devoted to systems of three arbitrary charges and another to molecules in a world with two space-dimensions.Comment: 101 pages, review articl

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    Guidelines for fabrication of hybrid microcircuits

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    Document is summary of approaches that may be taken in designing hybrid microcircuits similar to those for aerospace application

    Identification of Young Stellar Object candidates in the GaiaGaia DR2 x AllWISE catalogue with machine learning methods

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    The second GaiaGaia Data Release (DR2) contains astrometric and photometric data for more than 1.6 billion objects with mean GaiaGaia GG magnitude <<20.7, including many Young Stellar Objects (YSOs) in different evolutionary stages. In order to explore the YSO population of the Milky Way, we combined the GaiaGaia DR2 database with WISE and Planck measurements and made an all-sky probabilistic catalogue of YSOs using machine learning techniques, such as Support Vector Machines, Random Forests, or Neural Networks. Our input catalogue contains 103 million objects from the DR2xAllWISE cross-match table. We classified each object into four main classes: YSOs, extragalactic objects, main-sequence stars and evolved stars. At a 90% probability threshold we identified 1,129,295 YSO candidates. To demonstrate the quality and potential of our YSO catalogue, here we present two applications of it. (1) We explore the 3D structure of the Orion A star forming complex and show that the spatial distribution of the YSOs classified by our procedure is in agreement with recent results from the literature. (2) We use our catalogue to classify published GaiaGaia Science Alerts. As GaiaGaia measures the sources at multiple epochs, it can efficiently discover transient events, including sudden brightness changes of YSOs caused by dynamic processes of their circumstellar disk. However, in many cases the physical nature of the published alert sources are not known. A cross-check with our new catalogue shows that about 30% more of the published GaiaGaia alerts can most likely be attributed to YSO activity. The catalogue can be also useful to identify YSOs among future GaiaGaia alerts.Comment: 19 pages, 12 figures, 3 table

    Interaction-assisted propagation of Coulomb-correlated electron-hole pairs in disordered semiconductors

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    A two-band model of a disordered semiconductor is used to analyze dynamical interaction induced weakening of localization in a system that is accessible to experimental verification. The results show a dependence on the sign of the two-particle interaction and on the optical excitation energy of the Coulomb-correlated electron-hole pair.Comment: 4 pages and 3 ps figure

    Shell model on a random gaussian basis

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    Pauli-projected random gaussians are used as a representation to solve the shell model equations. The elements of the representation are chosen by a variational procedure. This scheme is particularly suited to describe cluster formation and cluster decay in nuclei. It overcomes the basis-size problem of the ordinary shell model and the technical difficulties of the cluster-configuration shell model. The model reproduces the α\alpha-decay width of 212^{212}Po satisfactorily.Comment: Latex, Submitted to Phys. Lett. B, 7 pages, 2 figures available upon request, ATOMKI-1994-

    Comment on ``Critical Behavior in Disordered Quantum Systems Modified by Broken Time--Reversal Symmetry''

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    In a recent Letter [Phys. Rev. Lett. 80, 1003 (1998)] Hussein and Pato employed the maximum entropy principle (MEP) in order to derive interpolating ensembles between any pair of universality classes in random matrix theory. They apply their formalism also to the transition from random matrix to Poisson statistics of spectra that is observed for the case of the Anderson-type metal-insulator transition. We point out the problems with the latter procedure.Comment: 1 page in PS, to appear in PRL Sept. 2

    Unlocking the value of real options: how firm-specific learning conditions affect R&D investments under uncertainty

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    Research Summary Why do some firms increase R&D investments in the face of uncertainty, while others do not? Contrary to common wisdom, this study posits that uncertainty prompts firms to invest in R&D. The value to invest under uncertainty is, however, bounded by a firm's learning conditions (i.e., human capital, relatedness of innovation activities, and industry maturity). An empirical test on a cross‐industry panel of 551 business divisions of manufacturing firms reveals how organization‐environment interactions determine the firm‐specific value to invest in learning prior to full‐scale commercialization. The insights help to bridge real options theory and the learning literature. Managerial Summary Uncertainty about the market environment makes investment decisions in R&D and the commercialization of new products a challenge: should firms “wait and see” until uncertainty resolves to avoid the risk of betting on the wrong product or commit further resources regardless? Our analysis suggests that manufacturing firms often take a mixed approach (“act and see”). While deferring investments in the commercialization of new products, they undertake further R&D to inform decision making by insights that would otherwise be unavailable. However, we find that the benefit of such practice depends on the learning conditions of the individual firm. What is risky for firms with disadvantages in human capital and technology development is value enhancing for firms with good foundations for learning through R&D

    Off-diagonal disorder in the Anderson model of localization

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    We examine the localization properties of the Anderson Hamiltonian with additional off-diagonal disorder using the transfer-matrix method and finite-size scaling. We compute the localization lengths and study the metal-insulator transition (MIT) as a function of diagonal disorder, as well as its energy dependence. Furthermore we investigate the different influence of odd and even system sizes on the localization properties in quasi one-dimensional systems. Applying the finite-size scaling approach in conjunction with a nonlinear fitting procedure yields the critical parameters of the MIT. In three dimensions, we find that the resulting critical exponent of the localization length agrees with the exponent for the Anderson model with pure diagonal disorder.Comment: 12 pages including 4 EPS figures, accepted for publication in phys. stat. sol. (b

    Second bound state of the positronium molecule and biexcitons

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    A new, hitherto unknown bound state of the positronium molecule, with orbital angular momentum L=1 and negative parity is reported. This state is stable against autodissociation even if the masses of the positive and negative charges are not equal. The existence of a similar state in two-dimension has also been investigated. The fact that the biexcitons have a second bound state may help the better understanding of their binding mechanism.Comment: Latex, 8 pages, 2 Postscript figure
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