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A Fast Onboard Star-Extraction Algorithm Optimized for the SVOM Visible Telescope

机译:一种针对sVOm可见光的优化快速星载提取算法   望远镜

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摘要

The Space multi-band Variable Object Monitor (SVOM) is a proposed Chineseastronomical satellite, dedicated to the detection, localization andmeasurement of the gamma-ray bursts (GRBs) on the cosmological scale. Anefficient algorithm is developed for the purpose of onboard star extractionfrom the CCD images obtained with the Visible Telescope (VT) on board SVOM. TheCCD pixel coordinates of the reference stars will be used to refine theastronomical position of the satellite, which will facilitate trigger rapidground-based follow-up obsevations of the GRBs. In this algorithm, the image isdivided into a number of grid cells and the "global" pixel-value maximum withineach cell is taken as the first-guess position of a "bright" star. The correctcenter postion of a star is then computed using a simple iterative method.Applying two additional strategies, i.e., scanning the image only by even (orodd) lines or in a black-white chess board mode, are proposed to further reducethe time to extract the stars. To examine the efficiency of the aboveaglorithms, we applied them to the experimental images obtained with aground-based telescope. We find that the accuracy of the astronomicalpositioning achieved by our method is comparable to that derived by using theconventional star-extraction method, while the former needs CPU time about 25times less than the latter. This will significantly improve the performance ofthe SVOM VT mission.
机译:空间多波段可变物体监测器(SVOM)是拟议的中国天文卫星,致力于在宇宙学规模上对伽马射线暴(GRB)进行检测,定位和测量。为了从利用SVOM上的可见望远镜(VT)获得的CCD图像中提取星上恒星而开发了一种高效算法。参考星的CCD像素坐标将用于完善卫星的天文位置,这将有助于触发基于GRB的基于快速地面的后续观测。在这种算法中,图像被划分为多个网格单元,每个单元内的“全局”像素值最大值被视为“亮”星的第一猜测位置。然后使用一种简单的迭代方法来计算恒星的正确中心位置。提出了另外两种策略,即仅以偶数(奇数)线或黑白棋盘模式扫描图像,以进一步减少提取时间星星。为了检查上述算法的效率,我们将它们应用于基于地面的望远镜获得的实验图像。我们发现,通过我们的方法实现的天文定位精度与使用常规星提取方法得出的精度相当,而前者所需的CPU时间要比后者少25倍。这将大大提高SVOM VT任务的性能。

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