15,872 research outputs found

    Semi-Classical Quantization of Circular Strings in De Sitter and Anti De Sitter Spacetimes

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    We compute the {\it exact} equation of state of circular strings in the (2+1) dimensional de Sitter (dS) and anti de Sitter (AdS) spacetimes, and analyze its properties for the different (oscillating, contracting and expanding) strings. The string equation of state has the perfect fluid form P=(γ−1)E,P=(\gamma-1)E, with the pressure and energy expressed closely and completely in terms of elliptic functions, the instantaneous coefficient γ\gamma depending on the elliptic modulus. We semi-classically quantize the oscillating circular strings. The string mass is m=C/(πHα′),  Cm=\sqrt{C}/(\pi H\alpha'),\;C being the Casimir operator, C=−LμνLμν,C=-L_{\mu\nu}L^{\mu\nu}, of the O(3,1)O(3,1)-dS [O(2,2)O(2,2)-AdS] group, and HH is the Hubble constant. We find \alpha'm^2_{\mbox{dS}}\approx 5.9n,\;(n\in N_0), and a {\it finite} number of states N_{\mbox{dS}}\approx 0.17/(H^2\alpha') in de Sitter spacetime; m^2_{\mbox{AdS}}\approx 4H^2n^2 (large n∈N0n\in N_0) and N_{\mbox{AdS}}=\infty in anti de Sitter spacetime. The level spacing grows with nn in AdS spacetime, while is approximately constant (although larger than in Minkowski spacetime) in dS spacetime. The massive states in dS spacetime decay through tunnel effect and the semi-classical decay probability is computed. The semi-classical quantization of {\it exact} (circular) strings and the canonical quantization of generic string perturbations around the string center of mass strongly agree.Comment: Latex, 26 pages + 2 tables and 5 figures that can be obtained from the authors on request. DEMIRM-Obs de Paris-9404

    Web based system architecture for long pulse remote experimentation

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    Remote experimentation (RE) methods will be essential in next generation fusion devices. Requirements for long pulse RE will be: on-line data visualization, on-line data acquisition processes monitoring and on-line data acquisition systems interactions (start, stop or set-up modifications). Note that these methods are not oriented to real-time control of fusion plant devices. INDRA Sistemas S.A., CIEMAT (Centro de Investigaciones Energéticas Medioambientales y Tecnológicas) and UPM (Universidad Politécnica de Madrid) have designed a specific software architecture for these purposes. The architecture can be supported on the BeansNet platform, whose integration with an application server provides an adequate solution to the requirements. BeansNet is a JINI based framework developed by INDRA, which makes easy the implementation of a remote experimentation model based on a Service Oriented Architecture. The new software architecture has been designed on the basis of the experience acquired in the development of an upgrade of the TJ-II remote experimentation system

    String dynamics in cosmological and black hole backgrounds: The null string expansion

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    We study the classical dynamics of a bosonic string in the DD--dimensional flat Friedmann--Robertson--Walker and Schwarzschild backgrounds. We make a perturbative development in the string coordinates around a {\it null} string configuration; the background geometry is taken into account exactly. In the cosmological case we uncouple and solve the first order fluctuations; the string time evolution with the conformal gauge world-sheet τ\tau--coordinate is given by X0(σ,τ)=q(σ)τ11+2β+c2B0(σ,τ)+⋯X^0(\sigma, \tau)=q(\sigma)\tau^{1\over1+2\beta}+c^2B^0(\sigma, \tau)+\cdots, B0(σ,τ)=∑kbk(σ)τkB^0(\sigma,\tau)=\sum_k b_k(\sigma)\tau^k where bk(σ)b_k(\sigma) are given by Eqs.\ (3.15), and β\beta is the exponent of the conformal factor in the Friedmann--Robertson--Walker metric, i.e. R∼ηβR\sim\eta^\beta. The string proper size, at first order in the fluctuations, grows like the conformal factor R(η)R(\eta) and the string energy--momentum tensor corresponds to that of a null fluid. For a string in the black hole background, we study the planar case, but keep the dimensionality of the spacetime DD generic. In the null string expansion, the radial, azimuthal, and time coordinates (r,ϕ,t)(r,\phi,t) are r=∑nAn1(σ)(−τ)2n/(D+1) ,r=\sum_n A^1_{n}(\sigma)(-\tau)^{2n/(D+1)}~, ϕ=∑nAn3(σ)(−τ)(D−5+2n)/(D+1) ,\phi=\sum_n A^3_{n}(\sigma)(-\tau)^{(D-5+2n)/(D+1)}~, and t=∑nAn0(σ)(−τ)1+2n(D−3)/(D+1) .t=\sum_n A^0_{n} (\sigma)(-\tau)^{1+2n(D-3)/(D+1)}~. The first terms of the series represent a {\it generic} approach to the Schwarzschild singularity at r=0r=0. First and higher order string perturbations contribute with higher powers of τ\tau. The integrated string energy-momentum tensor corresponds to that of a null fluid in D−1D-1 dimensions. As the string approaches the r=0r=0 singularity its proper size grows indefinitely like ∼(−τ)−(D−3)/(D+1)\sim(-\tau)^{-(D-3)/(D+1)}. We end the paper giving three particular exact string solutions inside the black hole.Comment: 17 pages, REVTEX, no figure

    Data reduction in the ITMS system through a data acquisition model with self-adaptive sampling rate

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    Long pulse or steady state operation of fusion experiments require data acquisition and processing systems that reduce the volume of data involved. The availability of self-adaptive sampling rate systems and the use of real-time lossless data compression techniques can help solve these problems. The former is important for continuous adaptation of sampling frequency for experimental requirements. The latter allows the maintenance of continuous digitization under limited memory conditions. This can be achieved by permanent transmission of compressed data to other systems. The compacted transfer ensures the use of minimum bandwidth. This paper presents an implementation based on intelligent test and measurement system (ITMS), a data acquisition system architecture with multiprocessing capabilities that permits it to adapt the system’s sampling frequency throughout the experiment. The sampling rate can be controlled depending on the experiment’s specific requirements by using an external dc voltage signal or by defining user events through software. The system takes advantage of the high processing capabilities of the ITMS platform to implement a data reduction mechanism based in lossless data compression algorithms which are themselves based in periodic deltas
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