320 research outputs found

    Cyclic Orbit Codes

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    In network coding a constant dimension code consists of a set of k-dimensional subspaces of F_q^n. Orbit codes are constant dimension codes which are defined as orbits of a subgroup of the general linear group, acting on the set of all subspaces of F_q^n. If the acting group is cyclic, the corresponding orbit codes are called cyclic orbit codes. In this paper we give a classification of cyclic orbit codes and propose a decoding procedure for a particular subclass of cyclic orbit codes.Comment: submitted to IEEE Transactions on Information Theor

    The role of Coulomb anti-blockade in the photoassociation of long-range Rydberg molecules

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    We present a new mechanism contributing to the detection of photoassociated long-range Rydberg molecules via pulsed-field ionization: ionic products, created by the decay of a long-range Rydberg molecule, modify the excitation spectrum of surrounding ground-state atoms and facilitate the excitation of further atoms into Rydberg states by the photoassociation light. Such an ion-mediated excitation mechanism has been previously called "Coulomb anti-blockade". Pulsed-field ionisation typically doesn't discriminate between the ionization of a long-range Rydberg molecule and an isolated Rydberg atom, and thus the number of atomic ions detected by this mechanism is not proportional to the number of long-range Rydberg molecules present in the probe volume. By combining high-resolution UV and RF spectroscopy of a dense, ultracold gas of cesium atoms, theoretical modeling of the molecular level structures of long-range Rydberg molecules bound below nP_3/2 Rydberg states of cesium, and a rate model of the photoassociation and decay processes, we unambiguously identify the signatures of this detection mechanism in the photoassociation of long-range Rydberg molecules bound below atomic asymptotes with negative Stark shifts.Comment: 8 pages, 7 figure

    XMCD studies of thin Co films on BaTiO3_3

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    Different layer thicknesses of Cobalt ranging from 2.6 {\AA} (1.5 ML) up to 55 {\AA} (30.5 ML) deposited on ferroelectric BaTiO3_3 have been studied regarding their magnetic behavior. The layers have been characterized using XMCD spectroscopy at remanent magnetization. After careful data analysis the magnetic moments of the Cobalt could be determined using the sum rule formalism. There is a sudden and abrupt onset in magnetism starting at thicknesses of 9 {\AA} (5 ML) of Cobalt for measurements at 120 K and of 10 {\AA} (5.5 ML) if measured at room temperature. Initial island growth and subsequent coalescence of Co on BaTiO3_3 is suggested to explain the sudden onset. In that context, no magnetically dead layers are observed.Comment: 9 pages, 5 figures, submitted to J. Phys. Condens. Matte

    Relational and Fine-Grained Argument Mining

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    Evaluierung des Projekts zur partizipativen Haushaltsplanaufstellung, -entscheidung, und -kontrolle im Bezirk Marzahn-Hellersdorf (BĂĽrgerhaushalt)

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    EVALUIERUNG DES PROJEKTS ZUR PARTIZIPATIVEN HAUSHALTSPLANAUFSTELLUNG, -ENTSCHEIDUNG, UND -KONTROLLE IM BEZIRK MARZAHN-HELLERSDORF (BĂśRGERHAUSHALT) Evaluierung des Projekts zur partizipativen Haushaltsplanaufstellung, -entscheidung, und -kontrolle im Bezirk Marzahn-Hellersdorf (BĂĽrgerhaushalt) / Jung, Stefan (Rights reserved) ( -

    Peeking beyond peaks:Challenges and research potentials of continuous multimodal multi-objective optimization

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    Multi-objective (MO) optimization, i.e., the simultaneous optimization of multiple conflicting objectives, is gaining more and more attention in various research areas, such as evolutionary computation, machine learning (e.g., (hyper-)parameter optimization), or logistics (e.g., vehicle routing). Many works in this domain mention the structural problem property of multimodality as a challenge from two classical perspectives: (1) finding all globally optimal solution sets, and (2) avoiding to get trapped in local optima. Interestingly, these streams seem to transfer many traditional concepts of single-objective (SO) optimization into claims, assumptions, or even terminology regarding the MO domain, but mostly neglect the understanding of the structural properties as well as the algorithmic search behavior on a problem's landscape. However, some recent works counteract this trend, by investigating the fundamentals and characteristics of MO problems using new visualization techniques and gaining surprising insights. Using these visual insights, this work proposes a step towards a unified terminology to capture multimodality and locality in a broader way than it is usually done. This enables us to investigate current research activities in multimodal continuous MO optimization and to highlight new implications and promising research directions for the design of benchmark suites, the discovery of MO landscape features, the development of new MO (or even SO) optimization algorithms, and performance indicators. For all these topics, we provide a review of ideas and methods but also an outlook on future challenges, research potential and perspectives that result from recent developments.</p
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