177 research outputs found

    B_{s,d}\to \gamma\gamma decay in the model with one universal extra dimension

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    We estimate the beyond the Standard Model (SM) contribution to the B_{s,d} \to \gamma\gamma double radiative decay in the framework of the model with one universal extra dimension. This contribution gives a \sim 3 (6)% enhancement of the branching ratio calculated in the SM for B_{s (d)} \to \gamma\gamma.Comment: 5 pages, 1 fig, uses espcrc

    On the double radiative decay of B_s-meson BγγB\to\gamma\gamma

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    B_s-meson double radiative decay BγγB \to \gamma\gamma is investigated in frame of supersymmetric extension of the standard model. The branching ratio is calculated. It is shown that for light Higgs particle and heigh tanβ\tan\beta supersymmetric contribution into branching ratio is significunt large than standard model estimate.Comment: 5 pages, latex, no figure

    The Purpose and Functions of Imereti Protected Areas

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    The article represented covers the information about the protected areas in Imereti region. In 1996, Georgian Parliament recognized the importance of the natural and cultural areas in Georgia by passing the law about the system of protected areas. The mentioned law created a legal basis for the establishment of protected areas - with the objective to protect outstanding natural areas and valuable cultural heritage. According to the law, the following categories were established and operated: strict nature reserve, national park, natural monument, managed nature reserve, protected landscape and multiple use area. Except the categories of the protected areas listed in the law, Imereti region possesses other rich tourism potential resources which are not investigated. It would be advisable to popularize those protected areas, to provide population with more information about truly unique nature, which will foster the development of tourism that will have positive impact on both country and region's economic growth

    Interactive Teaching Algorithms for Inverse Reinforcement Learning

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    We study the problem of inverse reinforcement learning (IRL) with the added twist that the learner is assisted by a helpful teacher. More formally, we tackle the following algorithmic question: How could a teacher provide an informative sequence of demonstrations to an IRL learner to speed up the learning process? We present an interactive teaching framework where a teacher adaptively chooses the next demonstration based on learner's current policy. In particular, we design teaching algorithms for two concrete settings: an omniscient setting where a teacher has full knowledge about the learner's dynamics and a blackbox setting where the teacher has minimal knowledge. Then, we study a sequential variant of the popular MCE-IRL learner and prove convergence guarantees of our teaching algorithm in the omniscient setting. Extensive experiments with a car driving simulator environment show that the learning progress can be speeded up drastically as compared to an uninformative teacher.Comment: IJCAI'19 paper (extended version

    BγγB \to \gamma \gamma in an ACD model

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    We present a full calculation of the amplitudes for Bd[s]γγB_{d[s]} \to \gamma \gamma in a simple ACD model that extends an incomplete one in a previous paper. We find cancellations between the contributions from different KK towers and a small decrease relative to the SM predictions. It is conjectured that radiative QCD corrections might actually lead to an enhancement in the branching ratios and {\bf CP} asymmetries, but no more than modest ones.Comment: 3 pages, 2 figure
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