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首页> 外文期刊>The Astrophysical journal >A Method Based on Wavelet Transforms for Source Detection in Photon-counting Detector Images. II. Application to ROSAT PSPC Images
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A Method Based on Wavelet Transforms for Source Detection in Photon-counting Detector Images. II. Application to ROSAT PSPC Images

机译:一种基于小波变换的光子计数探测器图像源检测方法。二。应用于ROSAT PSPC图像

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摘要

We apply to the specific case of images taken with the ROSAT PSPC detector our wavelet-based X-ray source detection algorithm presented in a companion paper. Such images are characterized by the presence of detector "ribs," strongly varying point-spread function, and vignetting, so that their analysis provides a challenge for any detection algorithm. First, we apply the algorithm to simulated images of a flat background, as seen with the PSPC, in order to calibrate the number of spurious detections as a function of significance threshold and to ascertain that the spatial distribution of spurious detections is uniform, i.e., unaffected by the ribs; this goal was achieved using the exposure map in the detection procedure. Then, we analyze simulations of PSPC images with a realistic number of point sources; the results are used to determine the efficiency of source detection and the accuracy of output quantities such as source count rate, size, and position, upon a comparison with input source data.
机译:我们将ROSAT PSPC检测器所拍摄图像的特定情况应用于我们的随行论文中提出的基于小波的X射线源检测算法。这样的图像的特征是存在检测器“肋”,点变化函数变化大,渐晕,因此其分析对任何检测算法都构成了挑战。首先,我们将算法应用于平坦背景的模拟图像(如PSPC所示),以便根据实际阈值校准虚假检测的数量,并确定虚假检测的空间分布是均匀的,即,不受肋骨影响;这个目标是通过在检测程序中使用暴露图来实现的。然后,我们分析具有实际数量点源的PSPC图像的仿真;通过与输入源数据进行比较,可将结果用于确定源检测的效率以及输出量(例如源计数率,大小和位置)的准确性。

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