25 research outputs found

    Re-Evaluation of Sinocastor (Rodentia: Castoridae) with Implications on the Origin of Modern Beavers

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    The extant beaver, Castor, has played an important role shaping landscapes and ecosystems in Eurasia and North America, yet the origins and early evolution of this lineage remain poorly understood. Here we use a geometric morphometric approach to help re-evaluate the phylogenetic affinities of a fossil skull from the Late Miocene of China. This specimen was originally considered Sinocastor, and later transferred to Castor. The aim of this study was to determine whether this form is an early member of Castor, or if it represents a lineage outside of Castor. The specimen was compared to 38 specimens of modern Castor (both C. canadensis and C. fiber) as well as fossil specimens of C. fiber (Pleistocene), C. californicus (Pliocene) and the early castorids Steneofiber eseri (early Miocene). The results show that the specimen falls outside the Castor morphospace and that compared to Castor, Sinocastor possesses a: 1) narrower post-orbital constriction, 2) anteroposteriorly shortened basioccipital depression, 3) shortened incisive foramen, 4) more posteriorly located palatine foramen, 5) longer rostrum, and 6) longer braincase. Also the specimen shows a much shallower basiocciptal depression than what is seen in living Castor, as well as prominently rooted molars. We conclude that Sinocastor is a valid genus. Given the prevalence of apparently primitive traits, Sinocastor might be a near relative of the lineage that gave rise to Castor, implying a possible Asiatic origin for Castor

    Modélisation et incertitude : comparison de deux méthodes pour l'estimation de la confiance des résultats des modèles numériques

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    The problem developed and analyzed in this paper is that of the estimation of the uncertainty associated with the results obtained by numerical simulation codes of physical systems induced from input data. In the first section, a general problem is developed and the authors describe briefly the methods used to calculate the uncertainty domain. They present two classic methods, one is a probability method, the Monte-Carlo method; the other, a determinist method, a differential analysis with finite differences. In the second section, two examples of models of thermal behaviour of building are used to underline the advantages and the drawbacks of both methods. These models are extracted fractions of larger models allowing a simplified presentation of the methods proposed. The authors determine the uncertainty domains on outputs simultaneously with the two methods. They show that the obtained domain by differential analysis is lightly pessimistic, but very near to those of the Monte-Carlo method, in the case of first model, linear, like in the case of second, highly nonlinear. The differential analysis is clearly more economical in calculation time and makes it possible to identify sensitive data with significant bearing on output uncertainty. Nevertheless, it is emphasized that for this method it is essential to enter into the calculation code formalism. globally, the authors conclude that a relative superiority of the differential analysis exists, particularly in the case of large codes where Monte-Carlo use would be prohibitive in calculation time.Le problème développé dans ce texte est celui de l'estimation de l'incertitude associée aux résultats produits par les codes de simulation numérique des systèmes physiques, induite par les incertitudes des données d'entrée. Dans la première partie, les auteurs posent le problème général et décrivent brièvement les méthodes utilisées pour calculer l'amplitude du domaine d'incertitude. Ils présentent deux méthodes types, l'une probabiliste, la méthode de Monte-Carlo, l'autre déterministe, l'analyse différentielle aux différences finies. Dans la deuxième partie, deux exemples de modèles de comportement thermique de locaux de bâtiments sont utilisés pour mettre en évidence les avantages et les inconvévients des deux méthodes. Ces modèles sont des fractions extraites de grands modèles, permettant de simplifier la présentation des méthodes proposées. Pour le premier, les échanges thermiques sont découplés et on ne traite pas la covection, ce qui conduit à la résolution d'un système linéaire des radiosités de dimension 10. Les auteurs montrent ainsi que l'incertitude relative de la norme du vecteur des radiosités est de l'ordre de 19 %, pour des incertitudes de données expérimentales usuelles. Pour le second, les échanges sont couplés et le modèle est fortement non linéaire. Les incertitudes obtenues pour les températures de surface des parois du local étudié sont de l'ordre de 3 %. Les auteurs concluent en faveur de l'analyse différentielle, nettement plus économe en temps de calcul et permettant d'identifier les entrées sensibles agissant de manière prépondérante sur l'incertitude des sorties. Néanmoins, on souligne, pour cette méthode, la nécessité d'entrer dans le formalisme du code de calcul. Globalement, les auteurs concluent à une relative supériorité de l'analyse différentielle, en particulier dans le cas des grands codes dont l'exploitation en Monte-Carlo serait prohibitive en temps de calcul

    Amorphous silicate nanoparticles with controlled Fe-Mg pyroxene compositions

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    The production of amorphous pyroxene nanoparticles (~ 20 nm) with controlled Fe-Mg content is described. Homogenous particle compositions closely matching required target stoichiometries are obtained by drying a precursor gel under high vacuum conditions. The silicate nature of the particles is characterised using TEM, synchrotron radiation and FTIR. No oxide phase separation occurs, even at high Fe concentration. Structural domains exist within the nanoparticles that are typically ten times smaller than the physical particle size consistent with either a core-shell, or, random network with multiple embedded domains, particle structure. Thermal annealing below the crystallisation temperature allows the ordered domain size to be further reduced by a factor of ~ 2

    Low-temperature FIR and submillimetre mass absorption coefficient of interstellar silicate dust analogues

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    Context. Cold dust grains are responsible for the far-infrared and submillimetre (FIR/submm) emission observed by Herschel and Planck. Their thermal emission is usually expressed as a modified black body law in which the FIR/submm dust opacity, or mass absorption coefficient (MAC), is described by the MAC at a given wavelength κλ0 and the temperature- and wavelength-independent emissivity spectral index β. However, numerous data from previous space and balloon-borne missions and recently from Herschel and Planck show that the dust emission is not well understood, as revealed for example by the observed anti-correlation of β with the grain temperature. Aims. The aim of this work is to measure the optical properties of interstellar dust analogues at low temperatures to give astronomers the necessary data for interpreting FIR/submm observations such as those from the Herschel and Planck satellites. Methods. We synthesised, via sol-gel methods, analogues of interstellar amorphous silicate grains, rich in Mg and Ca, and having stoichiometry of olivine and pyroxene. The samples are characterised by various techniques to determine their composition, size, amorphisation degree. All the amorphous samples are annealed at 1100 °C to study the crystallised materials for comparison. We measured the MAC of all the samples in the 2–25 μm range at room temperature and in the 100–1000/1500 μm range for grain temperatures varying from 300 to 10 K. Results. The experimental results show that, for all the amorphous samples, the grain MAC decreases when the grain temperature decreases and that the local spectral index, β, defined as the slope of the MAC curve, is anti-correlated with the grain temperature. These variations, which are not observed in the crystallised samples, are related to the amorphous nature of the samples. In addition, the spectral shape of the MAC is complex and cannot be described by a single spectral index over the 100–1500 μm range. At short wavelengths (λ ≤ 500/700 μm), β is in the range 1.6–2.1 for all grain temperature and grain composition. However, at longer wavelengths (λ ≥ 500/700 μm), β ≤ 2 for samples with a pyroxene stoichiometry and β ≥ 2 for samples with an olivine stoichiometry. Conclusions. The dust properties in the FIR/submm domain and at low temperature are more complicated than expected. The simplifying asymptotic expression based on a single temperature- and wavelength-independent spectral index used by astronomers is not appropriate to describe the dust MAC, hence the dust emission, and may induce significant errors on the derived parameters, such as the dust mass and the dust physical and chemical properties. Instead, dust emission models should use the dust MAC as a function of wavelength and temperature

    Low temperature MIR to submillimeter mass absorption coefficient of interstellar dust analogues

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    International audienceData from this article are publicly available through the STOP-CODA (SpecTroscopy and Optical Properties of Cosmic Dust Analogues) database of the SSHADE infrastructure of solid spectroscopy (https://doi.org/10.26302/SSHADE/STOPCODA). The dataset is accessible via the following link: https://www.sshade.eu/data/experiment/EXPERIMENT_KD_20170711</A
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