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Thermophysical Modeling of Asteroid Surfaces Using Ellipsoid Shape Models

机译:使用椭球形状模型对小行星表面进行热物理建模

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Thermophysical Models (TPMs), which have proven to be a powerful tool in the interpretation of the infrared emission of asteroid surfaces, typically make use of shape models and spin axes obtained a priori for use as input boundary conditions. We test and then employ a TPM approach—under an assumption of an ellipsoidal shape—that exploits the combination of thermal multi-wavelength observations obtained at pre- and post-opposition. Thermal infrared data, when available at these observing circumstances, are inherently advantageous in constraining thermal inertia and sense of spin, among other physical traits. We show that, despite the lack of a priori knowledge mentioned above, the size, albedo, and thermal inertia of an object are well-constrained with precision comparable to that of previous techniques. Useful estimates of the surface roughness, shape, and spin direction can also be made, to varying degrees of success. Applying the method to Wide-Field infrared Survey Explorer observations, we present best-fit size, albedo, thermal inertia, surface roughness, shape elongation and sense of spin direction for 21 asteroids. We explore the thermal inertia’s correlation with asteroid diameter, after accounting for its dependence on the heliocentric distance.
机译:热物理模型(TPM)已被证明是解释小行星表面红外发射的有力工具,通常利用形状模型和先验获得的自旋轴作为输入边界条件。我们在假设椭圆形的情况下测试并采用TPM方法,该方法利用了在对置前后的热多波长观测值的组合。当在这些观测情况下可获得红外热数据时,除其他物理特性外,其在限制热惯性和自旋感方面具有固有的优势。我们表明,尽管缺乏上述先验知识,但对象的大小,反照率和热惯性受到了很好的约束,其精度与以前的技术相当。还可以对表面粗糙度,形状和旋转方向进行有用的估计,从而获得不同程度的成功。将该方法应用于广域红外Survey Explorer观测,我们给出了21个小行星的最佳拟合尺寸,反照率,热惯性,表面粗糙度,形状伸长率和旋转方向感。在考虑了其对日心距的依赖性之后,我们探索了热惯性与小行星直径的关系。

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