2,717 research outputs found

    High Temperature Limit of the N=2 N= 2 IIA Matrix Model

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    The high temperature limit of a system of two D-0 branes is investigated. The partition function can be expressed as a power series in β\beta (inverse temperature). The leading term in the high temperature expression of the partition function and effective potential is calculated {\em exactly}. Physical quantities like the mean square separation can also be exactly determined in the high temperature limit. We comment on SU(3) IIB matrix model and the difficulties to study it.Comment: Lattice 2000 (Gravity and Matrix Models

    Inverse Transport Theory of Photoacoustics

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    We consider the reconstruction of optical parameters in a domain of interest from photoacoustic data. Photoacoustic tomography (PAT) radiates high frequency electromagnetic waves into the domain and measures acoustic signals emitted by the resulting thermal expansion. Acoustic signals are then used to construct the deposited thermal energy map. The latter depends on the constitutive optical parameters in a nontrivial manner. In this paper, we develop and use an inverse transport theory with internal measurements to extract information on the optical coefficients from knowledge of the deposited thermal energy map. We consider the multi-measurement setting in which many electromagnetic radiation patterns are used to probe the domain of interest. By developing an expansion of the measurement operator into singular components, we show that the spatial variations of the intrinsic attenuation and the scattering coefficients may be reconstructed. We also reconstruct coefficients describing anisotropic scattering of photons, such as the anisotropy coefficient g(x)g(x) in a Henyey-Greenstein phase function model. Finally, we derive stability estimates for the reconstructions

    Strong spin-orbit coupling and magnetism in (111) (La0.3_{0.3}Sr0.7_{0.7})(Al0.65_{0.65}Ta0.35)_{0.35})/SrTiO3_3

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    Strong correlations, multiple lattice degrees of freedom, and the ease of doping make complex oxides a source of great research interest. Complex oxide heterointerfaces break inversion symmetry and can host a two dimensional carrier gas, which can display a variety of coexisting and competing phenomena. In the case of heterointerfaces based on SrTiO3_3, many of these phenomena can be effectively tuned by using an electric gate, due to the large dielectric constant of SrTiO3_3. Most studies so far have focused on (001) oriented heterostructures; however, (111) oriented heterostructures have recently gained attention due to the possibility of finding exotic physics in these systems due their hexagonal surface crystal symmetry. In this work, we use magnetoresistance to study the evolution of spin-orbit interaction and magnetism in a new system, (111) oriented (La0.3_{0.3}Sr0.7_{0.7})(Al0.65_{0.65}Ta0.35_{0.35})/SrTiO3_3. At more positive values of the gate voltage, which correspond to high carrier densities, we find that transport is multiband, and dominated by high mobility carriers with a tendency towards weak localization. At more negative gate voltages, the carrier density is reduced, the high mobility bands are depopulated, and weak antilocalization effects begin to dominate, indicating that spin-orbit interaction becomes stronger. At millikelvin temperatures, and gate voltages corresponding to the strong spin-orbit regime, we observe hysteresis in magnetoresistance, indicative of ferromagnetism in the system. Our results suggest that in the (111) (La0.3_{0.3}Sr0.7_{0.7})(Al0.65_{0.65}Ta0.35_{0.35})/SrTiO3_3 system, low mobility carriers which experience strong spin-orbit interactions participate in creating magnetic order in the system.Comment: 15 pages, 3 figure

    Capillary-gravity wave transport over spatially random drift

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    We derive transport equations for the propagation of water wave action in the presence of a static, spatially random surface drift. Using the Wigner distribution \W(\x,\k,t) to represent the envelope of the wave amplitude at position \x contained in waves with wavevector \k, we describe surface wave transport over static flows consisting of two length scales; one varying smoothly on the wavelength scale, the other varying on a scale comparable to the wavelength. The spatially rapidly varying but weak surface flows augment the characteristic equations with scattering terms that are explicit functions of the correlations of the random surface currents. These scattering terms depend parametrically on the magnitudes and directions of the smoothly varying drift and are shown to give rise to a Doppler coupled scattering mechanism. The Doppler interaction in the presence of slowly varying drift modifies the scattering processes and provides a mechanism for coupling long wavelengths with short wavelengths. Conservation of wave action (CWA), typically derived for slowly varying drift, is extended to systems with rapidly varying flow. At yet larger propagation distances, we derive from the transport equations, an equation for wave energy diffusion. The associated diffusion constant is also expressed in terms of the surface flow correlations. Our results provide a formal set of equations to analyse transport of surface wave action, intensity, energy, and wave scattering as a function of the slowly varying drifts and the correlation functions of the random, highly oscillatory surface flows

    Inverse Diffusion Theory of Photoacoustics

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    This paper analyzes the reconstruction of diffusion and absorption parameters in an elliptic equation from knowledge of internal data. In the application of photo-acoustics, the internal data are the amount of thermal energy deposited by high frequency radiation propagating inside a domain of interest. These data are obtained by solving an inverse wave equation, which is well-studied in the literature. We show that knowledge of two internal data based on well-chosen boundary conditions uniquely determines two constitutive parameters in diffusion and Schroedinger equations. Stability of the reconstruction is guaranteed under additional geometric constraints of strict convexity. No geometric constraints are necessary when 2n2n internal data for well-chosen boundary conditions are available, where nn is spatial dimension. The set of well-chosen boundary conditions is characterized in terms of appropriate complex geometrical optics (CGO) solutions.Comment: 24 page

    Electrostatic tuning of magnetism at the conducting (111) (La0.3_{0.3}Sr0.7_{0.7})(Al0.65_{0.65}Ta0.35_{0.35})/SrTiO3_3 interface

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    We present measurements of the low temperature electrical transport properties of the two dimensional carrier gas that forms at the interface of (111)(111) (La0.3_{0.3}Sr0.7_{0.7})(Al0.65_{0.65}Ta0.35_{0.35})/SrTiO3_3 (LSAT/STO) as a function of applied back gate voltage, VgV_g. As is found in (111) LaAlO3_3/SrTiO3_3 interfaces, the low-field Hall coefficient is electron-like, but shows a sharp reduction in magnitude below VgV_g \sim 20 V, indicating the presence of hole-like carriers in the system. This same value of VgV_g correlates approximately with the gate voltage below which the magnetoresistance evolves from nonhysteretic to hysteretic behavior at millikelvin temperatures, signaling the onset of magnetic order in the system. We believe our results can provide insight into the mechanism of magnetism in SrTiO3_3 based systems.Comment: 5 pages, 3 figure

    Public transport trajectory planning with probabilistic guarantees

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    The paper proposes an eco-cruise control strategy for urban public transportbuses. The aim of the velocity control is ensuring timetable adherence, whileconsidering upstream queue lengths at traffic lights in a probabilistic way. Thecontribution of the paper is twofold. First, the shockwave profile model (SPM)is extended to capture the stochastic nature of traffic queue lengths. The modelis adequate to describe frequent traffic state interruptions at signalized intersections.Based on the distribution function of stochastic traffic volume demand,the randomness in queue length, wave fronts, and vehicle numbers are derived.Then, an outlook is provided on its applicability as a full-scale urban traffic networkmodel. Second, a shrinking horizon model predictive controller (MPC) isproposed for ensuring timetable reliability. The intention is to calculate optimalvelocity commands based on the current position and desired arrival time of thebus while considering upcoming delays due to red signals and eventual queues.The above proposed stochastic traffic model is incorporated in a rolling horizonoptimization via chance-constraining. In the optimization, probabilistic guaranteesare formulated to minimize delay due to standstill in queues at signalized intersections. Optimization results are analyzed from two particular aspects, (i)feasibility and (ii) closed-loop performance point of views. The novel stochasticprofile model is tested in a high fidelity traffic simulator context. Comparativesimulation results show the viability and importance of stochastic bounds in urbantrajectory design. The proposed algorithm yields smoother bus trajectoriesat an urban corridor, suggesting energy savings compared to benchmark controlstrategies
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