27,353 research outputs found

    The D0 Dimuon Charge Asymmetry and Baryon Asymmetry of the Universe

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    The D0 collaboration has reported a 3.2 \sigma deviation from the Standard Model (SM) prediction in the like-sign dimuon charge asymmetry. New physics beyond the SM in B_s - \bar B_s mixing is needed to explain the data. In this paper, we investigate the possible extension of the SM with one generation color-triplet charged scalar as well as three generation Majorana fermions. We study the implications of the model on the D0's dimuon charge asymmetry as well as matter anti-matter asymmetry of the Universe.Comment: 10 pages, 2 figure

    Remarks on Ekedahl-Oort stratifications

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    This short paper is a continuation of the author's Ph.D thesis, where Ekedahl-Oort strata are defined and studied for Shimura varieties of Hodge type. The main results here are as follows. 1. The Ekedahl-Oort stratification is independent of the choices of symplectic embeddings. 2. Under certain reasonable assumptions, there is certain functoriality for Ekedahl-Oort stratifications with respect to morphisms of Shimura varieties.Comment: 16 page

    Truxen: A Trusted Computing Enhanced Blockchain

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    Truxen is a Trusted Computing enhanced blockchain that uses Proof of Integrity protocol as the consensus. Proof of Integrity protocol is derived from Trusted Computing and associated Remote Attestations, that can be used to vouch a node's identity and integrity to all of the other nodes in the blockchain network. In this paper we describe how Trusted Computing and Proof of Integrity can be used to enhance blockchain in the areas of mining block, executing transaction and smart contract, protecting sensitive data. Truxen presents a Single Execution Model, that can verify and execute transaction and smart contract in a solo node, consequently enables remote calls to off-chain applications and performs in-deterministic tasks

    Recent Results From The Daya Bay Experiment

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    The Daya Bay reactor neutrino experiment has observed the disappearance of electron antineutrinos from nuclear reactors at \simkilometer baselines. The relative measurement of the νˉe\bar\nu_e rate and spectrum between near and far detectors allows for a precision measurement of the oscillation parameters sin22θ13\sin^22\theta_{13} and Δmee2|\Delta{m}^2_{ee}|. Two new antineutrino detectors (ADs) were installed in summer 2012, bringing the experiment to the final 8-AD configuration. With 621 days of data, Daya Bay has measured sin22θ13=0.084±0.005\sin^22\theta_{13} = 0.084 \pm 0.005 and Δmee2=2.440.11+0.10×103|\Delta{m}^2_{ee}| = 2.44^{+0.10}_{-0.11} \times 10^{-3} eV2^2. This is the most precise measurement of sin22θ13\sin^22\theta_{13} to date and the most precise measurement of Δmee2|\Delta{m}^2_{ee}| in this channel. Several other analyses are also performed, including an independent measurement of sin22θ13\sin^22\theta_{13} using νˉe\bar\nu_e samples tagged by neutron capture on hydrogen, a search for light sterile neutrinos, and a measurement of the absolute reactor antineutrino flux.Comment: 7 pages, 4 figures, to appear in the proceedings of NEUTRINO 2014, 26th International Conference on Neutrino Physics and Astrophysics, 2 - 7 June 2014, held at Boston, Massachusetts, US

    Computing the Helmholtz Capacitance of Charged Insulator-Electrolyte Interfaces from the Supercell Polarization

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    Supercell modelling of an electrical double layer (EDL) at electrified solid-electrolyte interfaces is a challenge. The net polarization of EDLs arising from the fixed chemical composition setup leads to uncompensated EDLs under periodic boundary condition and convolutes the calculation of the Helmholtz capacitance [Zhang and Sprik, Phys. Rev. B, 94, 245309 (2016)]. Here we provide a new formula based on the supercell polarization at zero electric field Eˉ=0\bar{E} = 0 (i.e. standard Ewald boundary condition) to calculate the Helmholtz capacitance of charged insulator-electrolyte interfaces and validate it using atomistic simulations. Results are shown to be independent of the supercell size. This formula gives a shortcut to compute the Helmholtz capacitance without locating the zero net charge state of EDL and applies directly to any standard molecular dynamics code where the electrostatic interactions are treated by the Ewald summation or its variants

    Stratifications and foliations for good reductions of Shimura varieties of Hodge type

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    Level mm-stratifications on PEL Shimura varieties are defined and studied by Wedhorn using BT-mms with PEL structure, and then by Vasiu for general Hodge type Shimura varieties using Shimura FF-crystals. The theory of foliations is established by Oort for Siegel modular varieties, and by Mantovan for PEL Shimura varieties. It plays an important role in Hamacher's work to compute the dimension of Newton strata of PEL Shimura varieties. We study level mm stratifications on good reductions at p>2p>2 of Shimura varieties of Hodge type by constructing certain torsors together with equivariant morphisms, and relating them to truncated displays. We then use the results obtained to extend the theory of foliations to these reductions. As a consequence, combined with results of Nie and Zhu, we get a dimension formula for Newton strata.Comment: first draft, 40 page

    Ekedahl-Oort strata for good reductions of Shimura varieties of Hodge type

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    For a Shimura variety of Hodge type with hyperspecial level structure at a prime pp, Vasiu and Kisin constructed a smooth integral model (namely the integral canonical model) uniquely determined by a certain extension property. We define and study the Ekedahl-Oort stratifications on the special fibers of those integral canonical models when p>2p>2. This generalizes Ekedahl-Oort stratifications defined and studied by Oort on moduli spaces of principally polarized abelian varieties and those defined and studied by Moonen, Wedhorn and Viehmann on good reductions of Shimura varieties of PEL type. We show that the Ekedahl-Oort strata are parameterized by certain elements ww in the Weyl group of the reductive group in the Shimura datum. We prove that the stratum corresponding to ww is smooth of dimension l(w)l(w) (i.e. the length of ww) if it is non-empty. We also determine the closure of each stratum.Comment: 3rd version, several corrections and simplifications, 27 pages, accepted by Canadian Journal of Mat

    Renormalized solutions for the fractional p(x)-Laplacian equation with L^1 data

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    In this paper, we prove the existence and uniqueness of nonnegative renormalized solutions for the fractional p(x)-Laplacian problem with L1 data. Our results are new even in the constant exponent fractional p-Laplacian equation case.Comment: 22 page

    Entry-exit decisions with implementation delay under uncertainty

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    We employ a natural method from the perspective of the optimal stopping theory to analyze entry-exit decisions with implementation delay of a project, and provide closed expressions for optimal entry decision times, optimal exit decision times and the maximal expected present value from the project. The results in conventional research were obtained under the restriction that the sum of the entry cost and the exit cost is nonnegative. In practice, we usually meet this sum is negative, so it is necessary to remove the restriction. If the sum is negative, there may exist two price triggers of entry decision, which does not happen when the sum is nonnegative, and it is not optimal to enter and then immediately exit the project even though it is an arbitrage opportunity

    AutoEncoder Inspired Unsupervised Feature Selection

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    High-dimensional data in many areas such as computer vision and machine learning tasks brings in computational and analytical difficulty. Feature selection which selects a subset from observed features is a widely used approach for improving performance and effectiveness of machine learning models with high-dimensional data. In this paper, we propose a novel AutoEncoder Feature Selector (AEFS) for unsupervised feature selection which combines autoencoder regression and group lasso tasks. Compared to traditional feature selection methods, AEFS can select the most important features by excavating both linear and nonlinear information among features, which is more flexible than the conventional self-representation method for unsupervised feature selection with only linear assumptions. Experimental results on benchmark dataset show that the proposed method is superior to the state-of-the-art method.Comment: accepted by ICASSP 201
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