139,411 research outputs found

    Neutrino Mass from Triplet and Doublet Scalars at the TeV Scale

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    If the minimal standard model of particle interactions is extended to include a scalar triplet with lepton number L=−2L=-2 and a scalar doublet with L=−1L=-1, neutrino masses mν∼μ124v2/M5∼10−2m_\nu \sim \mu_{12}^4 v^2/M^5 \sim 10^{-2} eV is possible, where v∼102v \sim 10^2 GeV is the electroweak symmetry breaking scale, M∼1M \sim 1 TeV is the typical mass of the new scalars, and μ12∼1\mu_{12} \sim 1 GeV is a soft lepton-number-violating parameter.Comment: 6 pages, no figur

    Shifting RbR_b with AFBbA^b_{FB}

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    Precision measurements at the ZZ resonance agree well with the standard model. However, there is still a hint of a discrepancy, not so much in RbR_b by itself (which has received a great deal of attention in the past several years) but in the forward-backward asymmetry AFBbA^b_{FB} together with RbR_b. The two are of course correlated. We explore the possibilty that these and other effects are due to the mixing of bLb_L and bRb_R with one or more heavy quarks.Comment: 11 pages, 1 Figure, LaTex fil

    Numerical framework for transcritical real-fluid reacting flow simulations using the flamelet progress variable approach

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    An extension to the classical FPV model is developed for transcritical real-fluid combustion simulations in the context of finite volume, fully compressible, explicit solvers. A double-flux model is developed for transcritical flows to eliminate the spurious pressure oscillations. A hybrid scheme with entropy-stable flux correction is formulated to robustly represent large density ratios. The thermodynamics for ideal-gas values is modeled by a linearized specific heat ratio model. Parameters needed for the cubic EoS are pre-tabulated for the evaluation of departure functions and a quadratic expression is used to recover the attraction parameter. The novelty of the proposed approach lies in the ability to account for pressure and temperature variations from the baseline table. Cryogenic LOX/GH2 mixing and reacting cases are performed to demonstrate the capability of the proposed approach in multidimensional simulations. The proposed combustion model and numerical schemes are directly applicable for LES simulations of real applications under transcritical conditions.Comment: 55th AIAA Aerospace Sciences Meeting, Dallas, T

    A Study of Gluon Propagator on Coarse Lattice

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    We study gluon propagator in Landau gauge with lattice QCD, where we use an improved lattice action. The calculation of gluon propagator is performed on lattices with the lattice spacing from 0.40 fm to 0.24 fm and with the lattice volume from (2.40fm)4(2.40 fm)^4 to (4.0fm)4(4.0 fm)^4. We try to fit our results by two different ways, in the first one we interpret the calculated gluon propagators as a function of the continuum momentum, while in the second we interpret the propagators as a function of the lattice momentum. In the both we use models which are the same in continuum limit. A qualitative agreement between two fittings is found.Comment: Revtex 14pages, 11 figure

    Instability-induced formation and non-equilibrium dynamics of phase defects in polariton condensates

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    We study, theoretically and numerically, the onset and development of modulational instability in an incoherently pumped spatially homogeneous polariton condensate. Within the framework of mean-field theory, we identify regimes of modulational instability in two cases: 1) Strong feedback between the condensate and reservoir, which may occur in scalar condensates, and 2) Parametric scattering in the presence of polarization splitting in spinor condensates. In both cases we investigate the instability induced textures in space and time including non-equilibrium dynamics of phase dislocations and vortices. In particular we discuss the mechanism of vortex destabilization and formation of spiraling waves. We also identify the presence of topological defects, which take the form of half-vortex pairs in the spinor case, giving an "eyelet" structure in intensity and dipole type structure in the spin polarization. In the modulationally stable parameter domains, we observe formation of the phase defects in the process of condensate formation from an initially spatially incoherent low-density state. In analogy to the Kibble-Zurek type scaling for nonequilibrium phase transitions, we find that the defect density scales with the pumping rate.Comment: 13 pages, 9 figures, revised manuscript sent to Phys. Rev.

    A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks

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    Understanding how the dynamics of a neural network is shaped by the network structure, and consequently how the network structure facilitates the functions implemented by the neural system, is at the core of using mathematical models to elucidate brain functions. This study investigates the tracking dynamics of continuous attractor neural networks (CANNs). Due to the translational invariance of neuronal recurrent interactions, CANNs can hold a continuous family of stationary states. They form a continuous manifold in which the neural system is neutrally stable. We systematically explore how this property facilitates the tracking performance of a CANN, which is believed to have clear correspondence with brain functions. By using the wave functions of the quantum harmonic oscillator as the basis, we demonstrate how the dynamics of a CANN is decomposed into different motion modes, corresponding to distortions in the amplitude, position, width or skewness of the network state. We then develop a perturbative approach that utilizes the dominating movement of the network's stationary states in the state space. This method allows us to approximate the network dynamics up to an arbitrary accuracy depending on the order of perturbation used. We quantify the distortions of a Gaussian bump during tracking, and study their effects on the tracking performance. Results are obtained on the maximum speed for a moving stimulus to be trackable and the reaction time for the network to catch up with an abrupt change in the stimulus.Comment: 43 pages, 10 figure

    Symmetries of the Standard Model without and with a Right-Handed Neutrino

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    Given the particle content of the standard model without and with a right-handed neutrino, the requirement that all anomalies cancel singles out a set of possible global symmetries which can be gauged. I review this topic and propose a new gauge symmetry B - 3L_tau in the context of the minimal standard model consisting of the usual three families of quarks and leptons plus just one nu_R. The many interesting phenomenological consequences of this hypothesis are briefly discussed.Comment: 7 pages, no figure, latex, sprocl.sty, talk at the Fifth Workshop on High Energy Physics Phenomenology, Pune, Jan 9

    Phenomenology of the B−3LτB - 3 L_\tau Gauge Boson

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    Assuming the existence of a gauge boson XX which couples to B−3LτB - 3 L_\tau, we discuss the present experimental constraints on gXg_X and mXm_X from Z→l+l−Z \to l^+ l^- and Z→fˉfX (f=q,ντ,τ)Z \to \bar f f X~(f = q, \nu_\tau, \tau). We also discuss the discovery potential of XX at hadron colliders through its decay into τ+τ−\tau^+ \tau^- pairs. In the scenario where all three charged leptons (and their neutrinos) mix, lepton flavor nonconservation through XX becomes possible and provides another experimental probe into this hypothesis.Comment: 19 pages, LaTeX, including 4 figure

    PC-SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration

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    Calibration and validation have long been a significant topic in traffic model development. In fact, when moving to dynamic traffic assignment (DTA) models, the need to dynamically update the demand and supply components creates a considerable burden on the existing calibration algorithms, often rendering them impractical. These calibration approaches are mostly restricted either due to non-linearity or increasing problem dimensionality. Simultaneous perturbation stochastic approximation (SPSA) has been proposed for the DTA model calibration, with encouraging results, for more than a decade. However, it often fails to converge reasonably with the increase in problem size and complexity. In this paper, we combine SPSA with principal components analysis (PCA) to form a new algorithm, we call, PC-SPSA. The PCA limits the search area of SPSA within the structural relationships captured from historical estimates in lower dimensions, reducing the problem size and complexity. We formulate the algorithm, demonstrate its operation, and explore its performance using an urban network of Vitoria, Spain. The practical issues that emerge from the scale of different variables and bounding their values are also analyzed through a sensitivity analysis using a non-linear synthetic function
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