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首页> 外文期刊>The Astrophysical journal >MATCHED FILTER SOURCE DETECTION APPLIED TO THE ROSAT PSPC AND THE DETERMINATION OF THE NUMBER-FLUX RELATION
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MATCHED FILTER SOURCE DETECTION APPLIED TO THE ROSAT PSPC AND THE DETERMINATION OF THE NUMBER-FLUX RELATION

机译:匹配的滤波源检测应用于ROSAT PSPC以及数通量关系的确定

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We investigate the application, for X-ray astronomy, of a source detection algorithm similar to the so-called matched filter (MF) technique. From the instrument point-spread function (PSF) we construct filters which are much closer to optimal for point-source detection than are the square functions used in the traditional sliding box (SB) method and at the same time ensure local background subtraction. We develop the technique primarily for use with the ROSAT PSPC images. Through intensive Monte Carlo simulations we calibrate the method for the real PSPC PSF and the values of background intensity typically found for medium and deep exposure ( > 10,000 s) ROSAT fields. From the simulations, all those functions necessary to correct the measured source intensities and the number-flux relation (log N-log S) are derived. It is shown that, indeed, we are able to obtain unbiased estimates of source intensities and the log N-log S function down to S/N ~ 2, as long as the PSPC PSF approximation we use is valid. We compare our method with the SB technique, as it is traditionally used, and find that the MF algorithm always works significantly better than the SB method. In particular, the latter overestimates the source fluxes and the log N-log S function near the detection threshold and therefore requires additional calibrations to correct for these biases.
机译:对于X射线天文学,我们研究了一种类似于所谓的匹配滤波器(MF)技术的源检测算法的应用。根据仪器的点扩散函数(PSF),我们构造了比点滑动检测(SB)方法中使用的平方函数更接近于点源检测最优值的滤波器,同时确保了局部背景减法。我们开发了主要用于ROSAT PSPC图像的技术。通过密集的蒙特卡洛模拟,我们校准了实际PSPC PSF的方法以及通常在中等和深度曝光(> 10,000 s)ROSAT场中发现的背景强度值。从模拟中,得出校正被测光源强度和数量-通量关系(log N-log S)所需的所有那些功能。结果表明,实际上,只要我们使用的PSPC PSF逼近有效,我们就能够获得源强度的无偏估计,log N-log S函数下降到S / N〜2。我们将我们的方法与传统上使用的SB技术进行了比较,发现MF算法始终比SB方法工作得更好。特别地,后者高估了源通量,并且log N-log S函数接近检测阈值,因此需要额外的校准来校正这些偏差。

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