35 research outputs found

    Time-dependent Monte Carlo continuum radiative transfer

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    Aims. We present an implementation of an algorithm for 3D time-dependent Monte Carlo radiative transfer. It allows one to simulate temperature distributions as well as images and spectral energy distributions of the scattered light and thermal reemission radiation for variable illuminating and heating sources embedded in dust distributions, such as circumstellar disks and dust shells on time scales up to weeks. Methods. We extended the publicly available 3D Monte Carlo radiative transfer code POLARIS with efficient methods for the simulation of temperature distributions, scattering, and thermal reemission of dust distributions illuminated by temporally variable radiation sources. The influence of the chosen temporal step width and the number of photon packages per time step as key parameters for a given configuration is shown by simulating the temperature distribution in a spherical envelope around an embedded central star. The effect of the optical depth on the temperature simulation is discussed for the spherical envelope as well as for a model of a circumstellar disk with an embedded star. Finally, we present simulations of an outburst of a star surrounded by a circumstellar disk. Results. The presented algorithm for time-dependent 3D continuum Monte Carlo radiative transfer is a valuable basis for preparatory studies as well as for the analysis of continuum observations of the dusty environment around variable sources, such as accreting young stellar objects. In particular, the combined study of light echos in the optical and near-infrared wavelength range and the corresponding time-dependent thermal reemission observables of variable, for example outbursting sources, becomes possible on all involved spatial scales.Comment: Accepted for publication in Astronomy & Astrophysics. 15 pages, 18 figure

    X‐ray imaging of a high‐temperature furnace applied to glass melting

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    The dynamics of soda‐lime‐silica glass grain melting is investigated experimentally using a nonintrusive technique. A cylindrical alumina crucible is filled with glass cullet and placed into a furnace illuminated by an X‐ray source. This glass granular bed is gradually heated up to 1100°C, leading to its melting and the generation of a size‐distributed population of bubbles rising in the molten glass. An image processing algorithm of X‐ray images of the cullet bed during melting allows the characterization of bubbles size distribution in the crucible as well as their velocity. The introduction of tin dioxide Ό‐particles in the glass matrix before melting enhances the texture of the images and makes possible the determination of the bubble‐induced molten glass velocity field by an optical flow technique. The bubble size distribution can be fitted by a log‐normal law, suggesting that it is closely related to the initial size distribution in the cullet bed. The liquid motion induced by the bubbles in Stokes' regime is strongly affected by the flow confinement and the determination of bubble rising velocity along its trajectory unveils the existence of local tiny temperature fluctuations in the crucible. Overall, the measuring techniques developed in this work seem to be very promising for the improvement of models and optimization of industrial glass furnaces

    MATISSE, the VLTI mid-infrared imaging spectro-interferometer

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    GalaxiesStars and planetary systemsInstrumentatio

    Muster zur Aufstellung von Umweltschutz-Berichten in den Kommunen Vorstudie

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    Technische Informationsbibliothek Hannover: RN 8908 (78-002) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman
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