论文标题
远程红外观察的小行星热惯性估计值:表面粗糙度和旋转速率的影响
Asteroid Thermal Inertia Estimates from Remote Infrared Observations: The Effects of Surface Roughness and Rotation Rate
论文作者
论文摘要
小行星表面的热惯性可以洞悉岩石的特性,例如存在岩石表面的一层细灰尘,密度和热导率,以及其他观察数据,矿物学。小行星表面特征的知识对于行星防御计划和提取资源(“小行星挖掘”)很重要。 Harris&Drube提出了一种简单的估计小行星热惯性的方法,Harris&Drube适用于将大量热式观测数据应用于大量的热惯性数据,例如红外空间望远镜获得的。我们将Harris-Drube估计量的结果与最近发表的小行星热惯性值的结果进行了比较,并从详细的热物理建模中进行了比较,并就某些差异结果的表面粗糙度降低提供了解释。被细灰尘覆盖的光滑表面可以为一些缓慢旋转的主皮带小行星(MBA)衍生而来的热惯性值出乎意料地提供了解释。对于近地物(NEOS),我们表明估计量的结果与热物理建模的对象非常吻合,只有少数例外。在我们的估计器结果的背景下,我们讨论了NEOS(101955)Bennu(162173)Ryugu的特殊情况(162173)Ryugu和(29075)1950 DA。考虑到热物理建模的数据需求和复杂性,基于相对简单概念的数据分析工具可以在允许对小行星(尤其是NEOS)的热膜数据的“快速看待”评估中发挥重要作用。
The thermal inertia of an asteroid's surface can provide insight into regolith properties, such as the presence of a layer of fine dust, the density and thermal conductivity of a rocky surface, and, together with other observational data, mineralogy. Knowledge of the surface characteristics of asteroids is important for planetary defense initiatives and the extraction of resources ("asteroid mining"). A simple means of estimating asteroid thermal inertia has been proposed by Harris & Drube, which is suitable for application to large sets of thermal-infrared observational data, such as those obtained by infrared space telescopes. We compare results from the Harris-Drube estimator with recently published values of asteroid thermal inertia from detailed thermophysical modeling, and provide an explanation in terms of reduced surface roughness for some discrepant results. Smooth surfaces covered in fine dust may provide an explanation for the unexpectedly low values of thermal inertia derived from thermophysical modeling for some slowly rotating main-belt asteroids (MBAs). In the case of near-Earth objects (NEOs) we show that results from the estimator are in good agreement with those from thermophysical modeling, with just a few exceptions. We discuss the special cases of the NEOs (101955) Bennu, (162173) Ryugu, and (29075) 1950 DA in the context of results from our estimator. Given the data requirements and complexity of thermophysical modeling, data-analysis tools based on relatively simple concepts can play an important role in allowing "quick-look" assessment of thermal-infrared data of asteroids, especially NEOs.