66,576 research outputs found

    Debris Disk Radiative Transfer Simulation Tool (DDS)

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    A WWW interface for the simulation of spectral energy distributions of optically thin dust configurations with an embedded radiative source is presented. The density distribution, radiative source, and dust parameters can be selected either from an internal database or defined by the user. This tool is optimized for studying circumstellar debris disks where large grains are expected to determine the far-infrared through millimeter dust reemission spectral energy distribution. The tool is available at http://aida28.mpia-hd.mpg.de/~swolf/ddsComment: Comp. Phys. Comm, 2005, in pres

    Atrazine Degradation, Sorption and Bioconcentration in Water Systems

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    The herbicide atrazine is used extensively to control broadleaf and grass weeds in such crops as sorghum and corn. A small portion of the atrazine may be lost from the area of application by surface runoff and could enter a stream or lake. The objective of this study was to evaluate atrazine degradation, sorption, and bioconcentration in watersediment systems. The results indicated that sediments with lower pH values and higher organic matter levels adsorbed higher levels of atrazine than sediments with neutral pH values and lower organic matter levels. Microbial decomposition of the herbicide was slow under the conditions of this study. Accumulation of atrazine by microorganisms in an aqueous system was demonstrated4 The results indicated that the organic fraction of a water system may be the most important adsorption ccmponent. Data from this study will be useful in assessing the ramifications of herbicides in aquatic ecosystems and provide a better understanding of the reactions of herbicides in sediment-water systans

    Comment on "Test of constancy of speed of light with rotating cryogenic optical resonators"

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    A recent experiment by Antonini et. al. [Phys. Rev. A {\bf 71}, 050101R 2005], set new limits on Lorentz violating parameters in the frame-work of the photon sector of the Standard Model Extension (SME), κ~eZZ\tilde{\kappa}_{e-}^{ZZ}, and the Robertson-Mansouri-Sexl (RMS) framework, βδ1/2\beta-\delta-1/2. The experiment had significant systematic effects caused by the rotation of the apparatus which were only partly analysed and taken into account. We show that this is insufficient to put a bound on κ~eZZ\tilde{\kappa}_{e-}^{ZZ} and the bound on βδ1/2\beta-\delta-1/2 represents a five-fold improvement not a ten-fold improvement as claimed. (For reply see Phys. Rev. A 72, 066102 (2005) DOI: 10.1103/PhysRevA.72.066102)Comment: 2 page

    Annealing of Neutron-irradiation-induced Changes in Impurity Conduction in Antimony- Doped Germanium

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    Annealing of neutron-irradiation-induced changes in impurity conduction in antimony-doped germaniu

    Experimental assembly of structures in EVA: Hardware morphology and development issues

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    A large body of data was obtained by MIT during neutral boyancy testing at Marshall Space Flight Center from 1980 to the present. These efforts, and the most significant results are summarized. The Experimental Assembly of Structure in EVA (EASE) flight experiment was undertaken to validate these results and flown on the STS 61-B in November 1985. The EASE experiment hardware is discussed and how the experiment goals dictate its size, shape, and operational characteristics, are illustrated

    Island Distance in One-Dimensional Epitaxial Growth

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    The typical island distance \ell in submonlayer epitaxial growth depends on the growth conditions via an exponent γ\gamma. This exponent is known to depend on the substrate dimensionality, the dimension of the islands, and the size ii^* of the critical nucleus for island formation. In this paper we study the dependence of γ\gamma on ii^* in one--dimensional epitaxial growth. We derive that γ=i/(2i+3)\gamma = i^*/(2i^* + 3) for i2i^*\geq 2 and confirm this result by computer simulations.Comment: 5 pages, 3 figures, uses revtex, psfig, 'Note added in proof' appende

    Justifications in Constraint Handling Rules for Logical Retraction in Dynamic Algorithms

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    We present a straightforward source-to-source transformation that introduces justifications for user-defined constraints into the CHR programming language. Then a scheme of two rules suffices to allow for logical retraction (deletion, removal) of constraints during computation. Without the need to recompute from scratch, these rules remove not only the constraint but also undo all consequences of the rule applications that involved the constraint. We prove a confluence result concerning the rule scheme and show its correctness. When algorithms are written in CHR, constraints represent both data and operations. CHR is already incremental by nature, i.e. constraints can be added at runtime. Logical retraction adds decrementality. Hence any algorithm written in CHR with justifications will become fully dynamic. Operations can be undone and data can be removed at any point in the computation without compromising the correctness of the result. We present two classical examples of dynamic algorithms, written in our prototype implementation of CHR with justifications that is available online: maintaining the minimum of a changing set of numbers and shortest paths in a graph whose edges change.Comment: Pre-proceedings paper presented at the 27th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2017), Namur, Belgium, 10-12 October 2017 (arXiv:1708.07854
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