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arXiv 1004.3287astro-ph.EP
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海王星外天体的笔束巡天:优化和表征的新方法

Pencil-Beam Surveys for Trans-Neptunian Objects: Novel Methods for Optimization and Characterization

Alex H. Parker, JJ. Kavelaars

摘要:

天文图像的数字叠加是增加信噪比和图像深度的常用技术。这种简单的技术的修改已被应用到检测小天体在太阳系:首先,通过减去高SN模板图像的静止物体被删除,然后预测的天空运动的太阳系感兴趣的机构和补偿的共同添加步骤之前,在软件中移动像素。这种“移位叠加”方法已成功地应用于太阳系小天体的定向观测。在这些调查中,这些变化以各种方式被参数化。然而,这些参数化还没有得到优化,在大多数情况下,不能有效地应用于数据集与长观测弧,由于对象的实际轨迹偏离线性轨道的天空。本文提出了两种新的概率方法,用于确定一个接近最佳的一组移位向量,适用于任何图像集给定的轨道空间搜索所需的区域。第一种方法是为短观测弧而设计的,第二种方法是为足够长的观测弧而设计的,需要非线性位移矢量。使用这些技术和其他优化,我们得到优化的网格为以前的调查,使用“移位和堆栈”的方法来说明,可以与我们的方法进行改进,并在同一时间得出新的限制的轨道参数的范围内,这些调查搜索。最后,我们用LSST模拟了这种方法在未来的应用,并表明将来自这种下一代设施的多个夜晚的数据相结合是在计算可行性的范围内。

英文摘要:

Digital co-addition of astronomical images is a common technique for increasing signal-to-noise and image depth. A modification of this simple technique has been applied to the detection of minor bodies in the Solar System: first stationary objects are removed through the subtraction of a high-SN template image, then the sky motion of the Solar System bodies of interest is predicted and compensated for by shifting pixels in software prior to the co-addition step. This "shift-and-stack" approach has been applied with great success in directed surveys for minor Solar System bodies. In these surveys, the shifts have been parameterized in a variety of ways. However, these parameterizations have not been optimized and in most cases cannot be effectively applied to data sets with long observation arcs due to objects' real trajectories diverging from linear tracks on the sky. This paper presents two novel probabilistic approaches for determining a near-optimum set of shift-vectors to apply to any image set given a desired region of orbital space to search. The first method is designed for short observational arcs, and the second for observational arcs long enough to require non-linear shift-vectors. Using these techniques and other optimizations, we derive optimized grids for previous surveys that have used "shift-and-stack" approaches to illustrate the improvements that can be made with our method, and at the same time derive new limits on the range of orbital parameters these surveys searched. We conclude with a simulation of a future applications for this approach with LSST, and show that combining multiple nights of data from such next-generation facilities is within the realm of computational feasibility.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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