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首页> 外文期刊>The astronomical journal >Near-Earth Object Orbit Linking with the Large Synoptic Survey Telescope
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Near-Earth Object Orbit Linking with the Large Synoptic Survey Telescope

机译：大型天气观测望远镜与近地物体轨道的链接

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We have conducted a detailed simulation of the ability of the Large Synoptic Survey Telescope (LSST) to link near-Earth and main belt asteroid detections into orbits. The key elements of the study were a high-fidelity detection model and the presence of false detections in the form of both statistical noise and difference image artifacts. We employed the Moving Object Processing System (MOPS) to generate tracklets, tracks, and orbits with a realistic detection density for one month of the LSST survey. The main goals of the study were to understand whether (a) the linking of near-Earth objects (NEOs) into orbits can succeed in a realistic survey, (b) the number of false tracks and orbits will be manageable, and (c) the accuracy of linked orbits would be sufficient for automated processing of discoveries and attributions. We found that the overall density of asteroids was more than 5000 per LSST field near opposition on the ecliptic, plus up to 3000 false detections per field in good seeing. We achieved 93.6% NEO linking efficiency for on tracks composed of tracklets from at least three distinct nights within a 12 day interval. The derived NEO catalog was comprised of 96% correct linkages. Less than 0.1% of orbits included false detections, and the remainder of false linkages stemmed from main belt confusion, which was an artifact of the short time span of the simulation. The MOPS linking efficiency can be improved by refined attribution of detections to known objects and by improved tuning of the internal kd-tree linking algorithms.
机译：我们已经对大型天气观测望远镜（LSST）将近地和主带小行星探测活动连接到轨道的能力进行了详细的模拟。这项研究的关键要素是高保真检测模型以及以统计噪声和差异图像伪影的形式出现的虚假检测。我们使用移动物体处理系统（MOPS）来生成LSST调查一个月的具有真实检测密度的小轨道，轨道和轨道。这项研究的主要目的是了解（a）将近地天体（NEO）链接到轨道是否可以在现实的调查中成功完成;（b）虚假轨道和轨道的数量是否可以控制，以及（c）链接轨道的准确性足以自动处理发现和归因。我们发现，小黄土的小行星的总体密度在黄道对面附近的每个LSST场都超过5000，此外，每一个视野的可见性高达3000次错误检测。在12天的间隔内，至少三个不同的夜晚，由小轨道组成的轨道上的NEO链接效率达到了93.6％。派生的NEO目录包含96％正确的链接。不到0.1％的轨道包含错误的探测，其余错误的链接是由主皮带混乱引起的，这是仿真时间跨度较短的产物。 MOPS链接效率可以通过将检测结果精确地分配给已知对象并通过改进内部kd-tree链接算法的调整来提高。

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